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• 1. Introduction
• 2. Foundation of neurophysiology
• 3. Neural Computing
• 4. Mind model CAM
• 5. Perceptual Intelligence
• 6. Language cognition
• 7. Learning
• 8. Memory
• 9. Thought
• 10. Intellectual development and cognitive structure
• 11. Emotion and affect
• 12. Consciousness
• 13. Brain machine integration
• 14. Brain-like intelligence.
• (source: Nielsen Book Data)

Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry.
(source: Nielsen Book Data)

• 1. Introduction
• 2. Foundation of neurophysiology
• 3. Neural Computing
• 4. Mind model CAM
• 5. Perceptual Intelligence
• 6. Language cognition
• 7. Learning
• 8. Memory
• 9. Thought
• 10. Intellectual development and cognitive structure
• 11. Emotion and affect
• 12. Consciousness
• 13. Brain machine integration
• 14. Brain-like intelligence.
• (source: Nielsen Book Data)

Intelligence Science: Leading the Age of Intelligence covers the emerging scientific research on the theory and technology of intelligence, bringing together disciplines such as neuroscience, cognitive science, and artificial intelligence to study the nature of intelligence, the functional simulation of intelligent behavior, and the development of new intelligent technologies. The book presents this complex, interdisciplinary area of study in an accessible volume, introducing foundational concepts and methods, and presenting the latest trends and developments. Chapters cover the Foundations of neurophysiology, Neural computing, Mind models, Perceptual intelligence, Language cognition, Learning, Memory, Thought, Intellectual development and cognitive structure, Emotion and affect, and more. This volume synthesizes a very rich and complex area of research, with an aim of stimulating new lines of enquiry.
(source: Nielsen Book Data)

The joint breakthrough of big data, cloud computing and deep learning has made artificial intelligence (AI) the new focus in the international arena. AI is a branch of computer science, developing intelligent machine with imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behaviour.This comprehensive compendium, consisting of 15 chapters, captures the updated achievements of AI. It is completely revised to reflect the current researches in the field, through numerous techniques and strategies to address the impending challenges facing computer scientists today.The unique volume is useful for senior or graduate students in the information field and related tertiary specialities. It is also a suitable reference text for professionals, researchers, and academics in AI, machine learning, electrical & electronic engineering and biocomputing.
(source: Nielsen Book Data)

• Introduction
• Foundation of Neuro-Physiology
• Neural Computing
• Mind Model
• Perception
• Visual Information Processing
• Audio Information Processing
• Language
• Learning
• Memory
• Thought
• Development of Intelligence
• Emotion
• Immune System
• Consciousness
• Symbolic Logic
• The Machine Proves
• Perspective.
• (source: Nielsen Book Data)

Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain research on the principle and model of natural intelligence at the molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists from the above three disciplines work together to explore new concepts, new theories, and methodologies.This book will introduce the concept and methodology of intelligence science systematically. The whole book is divided into 18 chapters altogether. It can be regarded as a textbook in courses of intelligence science, cognitive science, cognitive informatics etc. for senior and graduate students. It has important reference value for researchers engaged in fields such as intelligence science, brain science, cognitive science, neural science, artificial intelligence, psychology and so on.
(source: Nielsen Book Data)

• Introduction
• Foundation of Neuro-Physiology
• Neural Computing
• Mind Model
• Perception
• Visual Information Processing
• Audio Information Processing
• Language
• Learning
• Memory
• Thought
• Development of Intelligence
• Emotion
• Immune System
• Consciousness
• Symbolic Logic
• The Machine Proves
• Perspective.
• (source: Nielsen Book Data)

Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain research on the principle and model of natural intelligence at the molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists from the above three disciplines work together to explore new concepts, new theories, and methodologies.This book will introduce the concept and methodology of intelligence science systematically. The whole book is divided into 18 chapters altogether. It can be regarded as a textbook in courses of intelligence science, cognitive science, cognitive informatics etc. for senior and graduate students. It has important reference value for researchers engaged in fields such as intelligence science, brain science, cognitive science, neural science, artificial intelligence, psychology and so on.
(source: Nielsen Book Data)

• Machine generated contents note: ch. 1 Introduction
• 1.1. Brief History of AI
• 1.2. Cognitive Issues of AI
• 1.3. Hierarchical Model of Thought
• 1.4. Symbolic Intelligence
• 1.5. Research Approaches of Artificial Intelligence
• 1.6. Automated Reasoning
• 1.7. Machine Learning
• 1.8. Distributed Artificial Intelligence
• 1.9. Artificial Thought Model
• 1.10. Knowledge Based Systems
• Exercises
• ch. 2 Logic Foundation of Artificial Intelligence
• 2.1. Introduction
• 2.2. Logic Programming
• 2.3. Nonmonotonic Logic
• 2.4. Closed World Assumption
• 2.5. Default Logic
• 2.6. Circumscription Logic
• 2.7. Nonmonotonic Logic NML
• 2.8. Autoepistemic Logic
• 2.9. Truth Maintenance System
• 2.10. Situation Calculus
• 2.11. Frame Problem
• 2.12. Dynamic Description Logic
• Exercises
• ch. 3 Constraint Reasoning
• 3.1. Introduction
• 3.2. Backtracking
• 3.3. Constraint Propagation
• 3.4. Constraint Propagation in Tree Search
• 3.5. Intelligent Backtracking and Truth Maintenance.

• 3.6. Variable Instantiation Ordering and Assignment Ordering
• 3.7. Local Revision Search
• 3.8. Graph-based Backjumping
• 3.9. Influence-based Backjumping
• 3.10. Constraint Relation Processing
• 3.11. Constraint Reasoning System COPS
• 3.12. ILOG Solver
• Exercise
• ch. 4 Qualitative Reasoning
• 4.1. Introduction
• 4.2. Basic approaches in qualitative reasoning
• 4.3. Qualitative Model
• 4.4. Qualitative Process
• 4.5. Qualitative Simulation Reasoning
• 4.6. Algebra Approach
• 4.7. Spatial Geometric Qualitative Reasoning
• Exercises
• ch. 5 Case-Based Reasoning
• 5.1. Overview
• 5.2. Basic Notations
• 5.3. Process Model
• 5.4. Case Representation
• 5.5. Case Indexing
• 5.6. Case Retrieval
• 5.7. Similarity Relations in CBR
• 5.8. Case Reuse
• 5.9. Case Retainion
• 5.10. Instance-Based Learning
• 5.11. Forecast System for Central Fishing Ground
• Exercises
• ch. 6 Probabilistic Reasoning
• 6.1. Introduction
• 6.2. Foundation of Bayesian Probability
• 6.3. Bayesian Problem Solving
• 6.4. Naive Bayesian Learning Model.

• 6.5. Construction of Bayesian Network
• 6.6. Bayesian Latent Semantic Model
• 6.7. Semi-supervised Text Mining Algorithms
• Exercises
• ch. 7 Inductive Learning
• 7.1. Introduction
• 7.2. Logic Foundation of Inductive Learning
• 7.3. Inductive Bias
• 7.4. Version Space
• 7.5. AQ Algorithm for Inductive Learning
• 7.6. Constructing Decision Trees
• 7.7. ID3 Learning Algorithm
• 7.8. Bias Shift Based Decision Tree Algorithm
• 7.9. Computational Theories of Inductive Learning
• Exercises
• ch. 8 Support Vector Machine
• 8.1. Statistical Learning Problem
• 8.2. Consistency of Learning Processes
• 8.3. Structural Risk Minimization Inductive Principle
• 8.4. Support Vector Machine
• 8.5. Kernel Function
• Exercises
• ch. 9 Explanation-Based Learning
• 9.1. Introduction
• 9.2. Model for EBL
• 9.3. Explanation-Based Generalization
• 9.4. Explanation Generalization using Global Substitutions
• 9.5. Explanation-Based Specialization
• 9.6. Logic Program of Explanation-Based Generalization
• 9.7. SOAR Based on Memory Chunks.

• 9.8. Operationalization
• 9.9. EBL with imperfect domain theory
• Exercises
• ch. 10 Reinforcement Learning
• 10.1. Introduction
• 10.2. Reinforcement Learning Model
• 10.3. Dynamic Programming
• 10.4. Monte Carlo Methods
• 10.5. Temporal-Difference Learning
• 10.6. Q-Learning
• 10.7. Function Approximation
• 10.8. Reinforcement Learning Applications
• Exercises
• ch. 11 Rough Set
• 11.1. Introduction
• 11.2. Reduction of Knowledge
• 11.3. Decision Logic
• 11.4. Reduction of Decision Tables
• 11.5. Extended Model of Rough Sets
• 11.6. Experimental Systems of Rough Sets
• 11.7. Granular Computing
• 11.8. Future Trends of Rough Set Theory
• Exercises
• ch. 12 Association Rules
• 12.1. Introduction
• 12.2. The Apriori Algorithm
• 12.3. FP-Growth Algorithm
• 12.4. CFP-Tree Algorithm
• 12.5. Mining General Fuzzy Association Rules
• 12.6. Distributed Mining Algorithm For Association Rules
• 12.7. Parallel Mining of Association Rules
• Exercises
• ch. 13 Evolutionary Computation
• 13.1. Introduction
• 13.2. Formal Model of Evolution System Theory.

• 13.3. Darwin's Evolutionary Algorithm
• 13.4. Classifier System
• 13.5. Bucket Brigade Algorithm
• 13.6. Genetic Algorithm
• 13.7. Parallel Genetic Algorithm
• 13.8. Classifier System Boole
• 13.9. Rule Discovery System
• 13.10. Evolutionary Strategy
• 13.11. Evolutionary Programming
• Exercises
• ch. 14 Distributed Intelligence
• 14.1. Introduction
• 14.2. The Essence of Agent
• 14.3. Agent Architecture
• 14.4. Agent Communication Language ACL
• 14.5. Coordination and Cooperation
• 14.6. Mobile Agent
• 14.7. Multi-Agent Environment MAGE
• 14.8. Agent Grid Intelligence Platform
• Exercises
• ch. 15 Artificial Life
• 15.1. Introduction
• 15.2. Exploration of Artificial Life
• 15.3. Artificial Life Model
• 15.4. Research Approach of Artificial Life
• 15.5. Cellular Automata
• 15.6. Morphogenesis Theory
• 15.7. Chaos Theories
• 15.8. Experimental Systems of Artificial Life
• Exercises.

Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavior.Advanced Artificial Intelligence consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarizes the author's scientific efforts over many years. The book discusses the methods and key technology from theory, algorithm, system and applications related to artificial intelligence. This book can be regarded as a textbook for senior students or graduate students in the information field and related tertiary specialities. It is also suitable as a reference book for relevant scientific and technical personnel.
(source: Nielsen Book Data)

• Logic Foundation of Artificial Intelligence
• Constraint Reasoning
• Qualitative Reasoning
• Case-Based Reasoning
• Probabilistic Reasoning
• Inductive Learning
• Support Vector Machine
• Explanation-Based Learning
• Reinforcement Learning
• Rough Set
• Association Rules
• Knowledge Discovery
• Distributed Intelligence
• Evolutionary Computation.
• (source: Nielsen Book Data)

Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavior.Advanced Artificial Intelligence consists of 16 chapters. The content of the book is novel, reflects the research updates in this field, and especially summarizes the author's scientific efforts over many years. The book discusses the methods and key technology from theory, algorithm, system and applications related to artificial intelligence. This book can be regarded as a textbook for senior students or graduate students in the information field and related tertiary specialities. It is also suitable as a reference book for relevant scientific and technical personnel.
(source: Nielsen Book Data)

• Keynote Presentations.- Case-Based Reasoning Tomorrow: Provenance, the Web, and Cases in the Future of Intelligent Information Processing.- Knowledge Mining Biological Network Models.- Multivariate Bandits and Their Applications.- Image Semantic Analysis and Understanding.- Semantic Web Services.- Collaboration in Agent Grid Based on Dynamic Description Logics.- Requirement Driven Service Composition: An Ontology-Based Approach.- Multi-agent and Workflow-Based Web Service Management Model.- Semantic Approach for Service Oriented Requirements Modeling.- Automatic Reasoning.- Extend Atomic Action Definitions of DDL to Support Occlusions and Conditional Post-conditions.- Preservative Translations between Logical Systems.- The Description Logic for Relational Databases.- Non-Functional Requirements Elicitation and Incorporation into Class Diagrams.- Case-Based Reasoning.- Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support.- Event Extraction for Legal Case Building and Reasoning.- Applications of CBR in Oil Well Drilling: A General Overview.- Data Mining.- Associated Clustering and Classification Method for Electric Power Load Forecasting.- Two Improvement Strategies for PSO.- Mining Temporal Patterns of Technical Term Usages in Bibliographical Data.- Automated Empirical Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods.- Web Mining.- Adaptive Web-Based Instruction for Enhancing Learning Ability.- Extracting Comparative Commonsense from the Web.- Detecting Temporal Pattern and Cluster Changes in Social Networks: A Study Focusing UK Cattle Movement Database.- Unstructured P2P-Enabled Service Discovery in the Cloud Environment.- Web Search.- Using Global Statistics to Rank Retrieval Systems without Relevance Judgments.- Rule Learning with Negation: Issues Regarding Effectiveness.- Integrating Web Videos for Faceted Search Based on Duplicates, Contexts and Rules.- An Efficient Data Indexing Approach on Hadoop Using Java Persistence API.- Knowledge Representation.- Knowledge Engineering for Non-engineers.- Attribute Exploration Algorithms on Ontology Construction.- Intelligent Business Transaction Agents for Cross-Organizational Workflow Definition and Execution.- Knowledge Granularity and Representation of Knowledge: Towards Knowledge Grid.- Natural Language Processing.- Combining the Missing Link: An Incremental Topic Model of Document Content and Hyperlink.- A General Approach to Extracting Full Names and Abbreviations for Chinese Entities from the Web.- An English-Arabic Bi-directional Machine Translation Tool in the Agriculture Domain.- A Laplacian Eigenmaps Based Semantic Similarity Measure between Words.- Image Processing.- A Filter-Based Evolutionary Approach for Selecting Features in High-Dimensional Micro-array Data.- A Novel Distribution of Local Invariant Features for Classification of Scene and Object Categories.- Adult Image Detection Combining BoVW Based on Region of Interest and Color Moments.- Pattern Recognition.- Multimedia Speech Therapy Tools and Other Disability Solutions as Part of a Digital Ecosystem Framework.- Noise Estimation and Noise Removal Techniques for Speech Recognition in Adverse Environment.- Proximity User Identification Using Correlogram.- Erratum: An Efficient Data Indexing Approach on Hadoop Using Java Persistence API.
• (source: Nielsen Book Data)

This volume comprises the 6th IFIP International Conference on Intelligent Infor- tion Processing. As the world proceeds quickly into the Information Age, it encounters both successes and challenges, and it is well recognized nowadays that intelligent information processing provides the key to the Information Age and to mastering many of these challenges. Intelligent information processing supports the most - vanced productive tools that are said to be able to change human life and the world itself. However, the path is never a straight one and every new technology brings with it a spate of new research problems to be tackled by researchers; as a result we are not running out of topics; rather the demand is ever increasing. This conference provides a forum for engineers and scientists in academia and industry to present their latest research findings in all aspects of intelligent information processing. This is the 6th IFIP International Conference on Intelligent Information Processing. We received more than 50 papers, of which 35 papers are included in this program as regular papers and 4 as short papers. We are grateful for the dedicated work of both the authors and the referees, and we hope these proceedings will continue to bear fruit over the years to come. All papers submitted were reviewed by two referees. A conference such as this cannot succeed without help from many individuals who contributed their valuable time and expertise.
(source: Nielsen Book Data)

• Keynote Papers.- Application of Information Processing Technology by Multiagent Simulation.- Cognitive Architectures and Multi-agent Social Simulation.- Full Papers.- A Co-operative Intelligent Assisting Agent Architecture for Web Searching and Desktop Management.- Prisoner's Dilemma Game on Network.- Addressing Constraint Failures in Agent Interaction Protocol.- Reasoning about Success and Failure in Intentional Agents.- Agent-Base Workflow Management System Architecture - An Example on Conference Info System.- Diverse Applications of an Automated Argument System Based on the Logic of Multiple-Valued Argumentation.- Dynamic Interaction Protocol Load in Multi-Agent System Collaboration.- Towards a Component-Based Architecture for TeleAgents.- Development of a Lightweight Middleware Technologies Supporting Mobile Agents.- The Roles of Active Perception in Intelligent Agent Systems.- Fairness in Cooperating Multi-agent Systems - Using Profit Sharing as an Example.- Risk Strategies and Risk Strategy Equilibrium in Agent Interactions Modeled as Normal Repeated 2 x2 Risk Games.- A Crowd Model for Emergency and Panic Situations: Structure, Characteristics and Behaviours.- Learning the Structure of Utility Graphs Used in Multi-issue Negotiation through Collaborative Filtering.- ARTISTE: Agent Organization Management System for Multi-Agent Systems.- Sensor Management Model Using Multi-agent in Small-Area Sensor Networks.- Conflict Resolution Method for Multi-context Situation.- Multi-auction Approach for Solving Task Allocation Problem.- Using Classification Learning in Companion Modeling.- Modeling a MultiAgent Mobile Robotics Test Bed Using a Biologically Inspired Artificial Immune System.- Deploying Multi-Agents for Intelligent Aspect-Oriented Web Services.- Multi-Agent System Using G-XMDR for Data Synchronization in Pervasive Computing Environments.- An Interval-Based Knowledge Model and Query Language for Temporal Information.- A Petri-Net-Based Modeling Framework for Automated Negotiation Protocols in Electronic Commerce.- Agent Based Interaction Model for Electronic Health Record System.- Implementation of MedVI Agent a Medical Vocabulary Interpreter for Medical Agents.- Multi-agent Cooperation: A Description Logic View.- Enhancing Bidding Strategies in CDAs by Adaptive Judgement of Price Acceptability.- Dealing with Objectives in a Constraint-Based Extension to AgentSpeak(L).
• (source: Nielsen Book Data)

The Paci?c-Rim International Workshop on Multi-Agents (PRIMA) is held - nually, and is one of the principal research forums in the practice and theory of autonomous agents and multi-agent systems. Autonomous agents and mul- agent systems are computational systems in which several (semi-) autonomous agents interact with each other or work together to perform some set of tasks or satisfy some set of goals. These systems may involve computational agents that are homogeneous or heterogeneous, they may involve activities on the part of agentshavingcommongoalsordistinctgoals, andtheymayinvolveparticipation on the part of humans and intelligent agents. PRIMA is the ?rst Paci?c Rim workshop related to autonomous agents and multi-agentsystems. AlthoughwealreadyhaveseveralworkshopsinPaci?cRim countries, such as MACC (Multi-agent Systems and Cooperative Computation) inJapanfrom1991, andtheAustralianWorkshoponDistributedArti?cialInt- ligence from 1995, there has been less interactionamong the countriescompared toEuropeandtheAmericas. Since1998, thePRIMAseriesofworkshophasbeen conducted annually. PRIMA 2005, the ?rst of its kind to be held in Malaysia, followed a strong tradition of workshops that began in 1998 as a platform to enable researchers from the Paci? c-Rim countries to share and collaborate their research ?ndings in the areas of autonomous agents and multi-agent systems. In additionto thetraditionaltechnicalpaperpresentationandposterpaperpres- tations there weretwo additionalactivities speci?cally for the bene?t ofdoctoral students, and industry participants: (1) A Doctoral Mentoring Session (2) Agent School The Chairs of the workshop take this opportunity to thank the members of the Local Organizing Committee, the Programme Committee, the Doctoral - lection Committee, and all the additional paper reviewers.
(source: Nielsen Book Data)

• Model Organization Constraints in Multi-Agent System.- A Multi-Agent System for Mobile Environments.- Agent Interaction Management and Application in a Virtual Collaborative Environment.- An Integrated Approach to Battlefield Situation Assessment.- Negotiation Based on Personality.- MIAM: A Robot Oriented Mobile Intelligent Agent Model.- Incorporating Elements from Camle in the Open Repository.- Representing Human Spatial Behavior by Self-Organizing Networks.- Multi-Agent System Development Kit.- Limitations in Auml's Roles Specification.- The Research of Geometric Constraint Soving Based on the Path Tracking Homotopy Iteration Method.- Fast Stereo Matching Method Using Edge Traction.- Hybrid Color Image Segmentation Based Fully Automatic Chroma-Keying System with Cluttered Background.- Research on Techniques of Approximate Recognition of Continuous Deformation of Images with Multi-Grey-Levels.- Recognition of Image with Natural Textures Based on Learning of Information Augmentation.- Improvements on CCA Model with Application to Face Recognition.- Performance of Several Types of Median Filters in Spectral Domain.- Fuzzy and Rough Set.- Algebraic Property of Rough Implication Based on Interval Structure.- Research on Information Requirement of First-Order Universal Implication Operators in Fuzzy Reasoning.- An Extended Rough Sets Approach to Analysis of CUDT.- Intrusion Detection Based on Organizational Coevolutionary Fuzzy Classifiers.- Simple Fuzzy Logic Rules Based on Fuzzy Decision Tree for Classification and Prediction Problem.- A Research on Knowledge Reduction of Information Systems Based on Sub-Consciousness.- Optimal Design of Conic-Cylindrical Gear Reduction Unit Using Fuzzy Physical Programming.- NLOMJ-Natural Language Object Model in Java.- Fingerprint Ridge Line Reconstruction.- Design and Implementation of Automated Data Mining Using Intelligent Agents in Object Oriented Databases.- A Bayesian Optimization Algorithm for UAV Path Planning.- Dilated Chi-Square: A Novel Interestingness Measure to Build Accurate and Compact Decision List.- Post Sequential Patterns Mining.- Extended Constraint Handling for CP-Networks.- Solving CSP by Lagrangian Method with Importance of Constraints.- Component Retrieval Using Conversational Case-Based Reasoning.- Mixed Parallel Execution of Algorithms for Satisfiability Problem.- Clustering Binary Codes to Express the Biochemical Properties of Amino Acids.- Natural Language Interface to Mobile Devices.- Research and Application in Web Usage Mining of the Incremental Mining Technique for Association Rule.- Face Recognition Technique Based on Modular ICA Approach.- Model-Based Debugging with High-Level Observations.- Mapping Search Results into Self-Customized Category Hierarchy.- Rank Aggregation Model for Meta Search.- On the Importance of Being Diverse.- Using Finite Domains in Constraint Satisfaction Problem.- Research on Radar Targets Recognition by Extracting 3-D Characteristic from ISAR Images.- Uncertain Reasoning and Decision Making.- Diagnosing Java Programs with Static Abstractions of Data Structures.- Intelligent Technology for Well Logging Analysis.- SEDatalog: A Set Extension of Datalog.- Session Identification Based on Time Interval in Web Log Mining.- Efficiently Mining Frequent Itemsets with Compact FP-Tree.- Towards Human Oriented WWW.- An Intelligent Diagnosis System Handling Multiple Disorders.- An Intelligent Knowledge-Based Recommendation System.- A Formal Concept Analysis Approach for Web Usage Mining.- Knowledge-Based Decision Support in Oil Well Drilling.- A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms.- Ensembles of Multi-Instance Neural Networks.- A Wordnet-Based Approach to Feature Selection in Text Categorization.- A New Support Vector Neural Network Inference System.- An Improved Vehicle Classification Method Based on Gabor Features.- An Incremental Algorithm about the Affinity-Rule Based Transductive Learning Machine for Semi-Supervised Problem.- A Short Tutorial on Reinforcement Learning.- Hardware Design of Two Weighted Neural Network and Application for Object Recognition.- Improvement of Web Data Clustering Using Web Page Contents.- A Prediction Approach to Well Logging.
• (source: Nielsen Book Data)

Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 9th Pacific Rim International Workshop on Multi-Agents, PRIMA 2006, held in Guilin, China, in August 2006 in conjunction with PRICAI 2006. The 39 revised full papers and 57 revised short papers presented together with 4 invited talks were carefully reviewed and selected from 203 submissions. Many current subjects in multi-agent research and development are addressed, ranging from theoretical and methodological issues to various applications in different fields. The papers are organized in topical sections on agent models, agent architectures, agent-oriented software engineering, agent grid, semantic Web service, collaboration, coordination and negotiation, agent learning, P2P computing, and applications.
(source: Nielsen Book Data)

• Brain Cognition
• Mind Modeling in Intelligence Science
• Some Discussions on Subjectivity of Machine and its Function
• Hexagon of Intelligence
• Uncertain Theory
• Interactive Granular Computing Model for Intelligent Systems
• A framework for the approximation of relations
• Logical treatment of incomplete/uncertain information relying on different systems of rough sets
• Possibility theory and possibilistic logic: Tools for reasoning under and about incomplete information
• Machine Learning
• Similarity-based Rough Sets with Annotation Using Deep Learning
• P-T Probability Framework and Semantic Information G Theory Tested by Seven Difficult Tasks
• Trilevel Multi-Criteria Decision Analysis based on Three-Way Decision
• Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) based Type-2 Diabetic Modeling
• Granulated Tables with Frequency by Discretization and Their Application
• Data Intelligence
• Person Authentication by Gait Data from Smartphone Sensors using Convolutional Autoencoder
• Research on Personal Credit Risk Assessment Model Based on Instance-based Transfer Learning
• Language Cognition
• From Texts to Classification Knowledge
• ANAS： Sentence similarity calculation based on automatic neural architecture search
• Fully interval integer transhipment problem- A solution approach
• Vision Cognition
• Novel image compression and deblockingapproach using BPN and Deep neural network architecture
• Characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning
• Perceptual Intelligence
• Stability Analysis of Imprecise Prey-Predator Model
• Comparative Performance Study on Human Activity Recognition with Deep Neural Networks
• Intelligent Robot
• Beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control
• Application of pinching method to quantify sensitivity of reactivity coefficients on power defect
• Computation with Democracy An Intelligent System
• Medical Artificial Intelligence
• Economy and Unemployment Due to COVID19 Secondary ResearchL
• Optimal Control of Dengue-Chikungunya Co-infection: A mathematical Study
• Comparative analysis of machine learning algorithms for categorizing eye diseases.

This book constitutes the refereed post-conference proceedings of the 4th International Conference on Intelligence Science, ICIS 2020, held in Durgapur, India, in February 2021 (originally November 2020). The 23 full papers and 4 short papers presented were carefully reviewed and selected from 42 submissions. One extended abstract is also included. They deal with key issues in brain cognition; uncertain theory; machine learning; data intelligence; language cognition; vision cognition; perceptual intelligence; intelligent robot; and medical artificial intelligence.

• Machine Learning.- A Salient Object Detection Algorithm Based on Region Merging and Clustering.- Link-based Cluster Ensemble Method for Improved Meta-Clustering Algorithm.- Large-scale Spectral Clustering with Stochastic Nystroem Approximation.- Feature selection algorithm based on Multi Strategy grey wolf optimizer.- A Novel Fuzzy C-means Clustering Algorithm Based on Local Density.- A novel method to solve the separation problem of LDA.- Multi-label Classification of Short Text based on Similarity Graph and Restart Random Walk Model.- Environmental Parameters Analysis and Power Prediction for Photovoltaic Power Generation Based on Ensembles of Decision Trees.- The Qualitative Grid Computer Based on Conjugate Entangled Manifold for Law of Unity of Contradiction.- Similarity Evaluation with Wikipedia Features.- Multi-agent System.- Adaptive Game AI-Based Dynamic Difficulty Scaling via the Symbiotic Game Agent.- Recommendation System.- Scientific Paper Recommendation Using Author's Dual Role Citation Relationship.- A Genetic Algorithm for Travel Itinerary Recommendation with Mandatory Points-of-Interest.- Social Computing.- Stochastic Blockmodels Meets Overlapping Community Detection.- Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes.- Brain Computer Integration.- Coarse-to-Fine Classification with Phase Synchronization and Common Spatial Pattern for Motor Imagery-based BCI.- Ballistocardiogram artifact removal for concurrent EEG-fMRI recordings using blind source separation based on dictionary learning.- Comparison of Machine Learning and Deep Learning Approaches for Decoding Brain Computer Interface: an fNIRS Study.- Pattern Recognition.- Phase Plane Analysis of Traffic Flow Evolution Based on a macroscopic traffic flow model.- Phase Plane Analysis of Traffic Phenomena with Different Input and Output Conditions.- Bird Detection on Transmission Lines Based on DCYOLO Model.- Research on Customer Credit Scoring Model Based on Bank Credit Card.- Analysis of the stability and solitary waves for the carfollowing model on two lanes.- Queue Length Estimation based Defence Against Data Poisoning Attack for Tra c Signal Control.- A Method of Style Transfer for Chinese Painting.- Speech Triggered Mobility Support And Privacy.- Computer Vision and Image Understanding.- Explaining Color Evolution, Color Blindness, and Color Recognition by the Decoding Model of Color Vision.- A Content-based Deep Hybrid Approach with Segmented Max-pooling.- Image caption combined with GAN training method.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 11th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2020, held in Hangzhou, China, in July 2020. The 24 full papers and 5 short papers presented were carefully reviewed and selected from 36 submissions. They are organized in topical sections on machine learning; multi-agent system; recommendation system; social computing; brain computer integration; pattern recognition; and computer vision and image understanding.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the First Asian Semantic Web Conference, ASWC 2006, held in Beijing, China, in September 2006. The 36 revised full papers and 36 revised short papers presented together with 3 invited contributions were carefully reviewed and selected from 208 full paper submissions. The papers are organized in topical sections on annotation, ontology alignment, documents and recommendation, social networks and RSS, ontology integration and interoperability, reasoning, applications, information search, databases, semantic Web services, ontologies and tools, ontologies and theory, peer-to-peer, and industrial applications.
(source: Nielsen Book Data)

• Model Organization Constraints in Multi-Agent System.- A Multi-Agent System for Mobile Environments.- Agent Interaction Management and Application in a Virtual Collaborative Environment.- An Integrated Approach to Battlefield Situation Assessment.- Negotiation Based on Personality.- MIAM: A Robot Oriented Mobile Intelligent Agent Model.- Incorporating Elements from Camle in the Open Repository.- Representing Human Spatial Behavior by Self-Organizing Networks.- Multi-Agent System Development Kit.- Limitations in Auml's Roles Specification.- The Research of Geometric Constraint Soving Based on the Path Tracking Homotopy Iteration Method.- Fast Stereo Matching Method Using Edge Traction.- Hybrid Color Image Segmentation Based Fully Automatic Chroma-Keying System with Cluttered Background.- Research on Techniques of Approximate Recognition of Continuous Deformation of Images with Multi-Grey-Levels.- Recognition of Image with Natural Textures Based on Learning of Information Augmentation.- Improvements on CCA Model with Application to Face Recognition.- Performance of Several Types of Median Filters in Spectral Domain.- Fuzzy and Rough Set.- Algebraic Property of Rough Implication Based on Interval Structure.- Research on Information Requirement of First-Order Universal Implication Operators in Fuzzy Reasoning.- An Extended Rough Sets Approach to Analysis of CUDT.- Intrusion Detection Based on Organizational Coevolutionary Fuzzy Classifiers.- Simple Fuzzy Logic Rules Based on Fuzzy Decision Tree for Classification and Prediction Problem.- A Research on Knowledge Reduction of Information Systems Based on Sub-Consciousness.- Optimal Design of Conic-Cylindrical Gear Reduction Unit Using Fuzzy Physical Programming.- NLOMJ-Natural Language Object Model in Java.- Fingerprint Ridge Line Reconstruction.- Design and Implementation of Automated Data Mining Using Intelligent Agents in Object Oriented Databases.- A Bayesian Optimization Algorithm for UAV Path Planning.- Dilated Chi-Square: A Novel Interestingness Measure to Build Accurate and Compact Decision List.- Post Sequential Patterns Mining.- Extended Constraint Handling for CP-Networks.- Solving CSP by Lagrangian Method with Importance of Constraints.- Component Retrieval Using Conversational Case-Based Reasoning.- Mixed Parallel Execution of Algorithms for Satisfiability Problem.- Clustering Binary Codes to Express the Biochemical Properties of Amino Acids.- Natural Language Interface to Mobile Devices.- Research and Application in Web Usage Mining of the Incremental Mining Technique for Association Rule.- Face Recognition Technique Based on Modular ICA Approach.- Model-Based Debugging with High-Level Observations.- Mapping Search Results into Self-Customized Category Hierarchy.- Rank Aggregation Model for Meta Search.- On the Importance of Being Diverse.- Using Finite Domains in Constraint Satisfaction Problem.- Research on Radar Targets Recognition by Extracting 3-D Characteristic from ISAR Images.- Uncertain Reasoning and Decision Making.- Diagnosing Java Programs with Static Abstractions of Data Structures.- Intelligent Technology for Well Logging Analysis.- SEDatalog: A Set Extension of Datalog.- Session Identification Based on Time Interval in Web Log Mining.- Efficiently Mining Frequent Itemsets with Compact FP-Tree.- Towards Human Oriented WWW.- An Intelligent Diagnosis System Handling Multiple Disorders.- An Intelligent Knowledge-Based Recommendation System.- A Formal Concept Analysis Approach for Web Usage Mining.- Knowledge-Based Decision Support in Oil Well Drilling.- A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms.- Ensembles of Multi-Instance Neural Networks.- A Wordnet-Based Approach to Feature Selection in Text Categorization.- A New Support Vector Neural Network Inference System.- An Improved Vehicle Classification Method Based on Gabor Features.- An Incremental Algorithm about the Affinity-Rule Based Transductive Learning Machine for Semi-Supervised Problem.- A Short Tutorial on Reinforcement Learning.- Hardware Design of Two Weighted Neural Network and Application for Object Recognition.- Improvement of Web Data Clustering Using Web Page Contents.- A Prediction Approach to Well Logging.
• (source: Nielsen Book Data)

Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.
(source: Nielsen Book Data)

• Intro
• Preface
• Organization
• Abstracts of Keynote and Invited Talks
• Tactile Situations: A Basis for Manual Intelligence and Learning
• Brain-like Perception and Cognition: Challenges and Thinking
• Dealing with Concept Drifts in Data Streams
• A Novel Bionic Imaging and Its Intelligent Processing
• Skill Learning in Dynamic Scene for Robot Operations
• Emerging Artificial Intelligence Technologies in Healthcare
• Memory Cognition
• Contents
• Brain Cognition
• Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning
• 1 Introduction

• 2 Related Works
• 3 Methods
• 3.1 The Allen Mouse Brain Atlas
• 3.2 The Clustered Hierarchical Circuits
• 3.3 The Neuron Model
• 3.4 Coping the Biological Circuits to Artificial Ones
• 3.5 The Network Learning
• 4 Experiments
• 4.1 The Clustered Brain Regions
• 4.2 The Network Topology from Biological Mouse Brain
• 4.3 Results with Circuit-46 and Random Networks
• 4.4 Result Comparison with Different Algorithms
• 5 Discussion
• References
• DNM-SNN: Spiking Neural Network Based on Dual Network Model
• 1 Introduction
• 2 Methods

• 2.1 Traditional SNN Supervised Learning Algorithm Framework and Its Limitations
• 2.2 Proposed Dual-Model Spike Network Supervised Learning Algorithm
• 2.3 Proposed Multi-channel Mix Module Prediction Method
• 2.4 The Chosen Network Model
• 2.5 Selection of Spiking Neurons
• 3 Experimental Results
• 3.1 Single- and Dual-Model Resnet11 Performance on the CIFAR-10 Dataset
• 3.2 Related Work Comparison
• 4 Conclusion
• References
• A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection
• 1 Introduction
• 2 Background
• 2.1 Modularity

• 2.2 Normalized Mutual Information
• 3 Description of MA-ASA
• 3.1 Segmented Label Propagation
• 3.2 Selection and Crossover Operation
• 3.3 Mutation Operation
• 3.4 Improved Simulated Annealing
• 3.5 Framework of MA-ASA
• 4 Experiments and Analysis
• 4.1 Experimental Settings
• 4.2 Experimental Results and Analysis
• 5 Conclusion
• References
• The Model of an Explanation of Self and Self-awareness Based on Need Evolution
• 1 Background and Significance
• 2 The Nature and Needs of Life
• 2.1 The Nature and Representation of the Self
• 2.2 The Primary Needs and Principle of Life

• 3 Evolution and Representation of the Needs of Life
• 3.1 Needs Representation and Original Self-evolution in Single-Celled and Complex Organisms
• 3.2 Representation Needs and Self-awareness of Human
• 4 Self-model Based on the Evolution of Needs
• 4.1 Iterative Model of Needs Evolution
• 4.2 Evolutionary Model of the Self
• 5 Dicussion and Conclusion
• References
• Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron
• 1 Introduction
• 2 Proposed Method
• 2.1 Leaky Integrate-and-Fire Model
• 2.2 Design of LIF Circuit
• 2.3 Correspondence Between Network and Circuit

This book constitutes the refereed proceedings of the 5th International Conference on Intelligence Science, ICIS 2022, held in Xi'an, China, in August 2022. The 41 full and 5 short papers presented in this book were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: Brain cognition; machine learning; data intelligence; language cognition; remote sensing images; perceptual intelligence; wireless sensor; and medical artificial intelligence.
(source: Nielsen Book Data)

• The AI Journey: The Road Traveled and the (Long) Road Ahead / Ramon Lopez de Mantaras
• Transfer Learning and Applications / Qiang Yang
• Semantics of Cyber-Physical Systems / Tharam Dillon, Elizabeth Chang, Jaipal Singh and Omar Hussain
• Big Data Mining in the Cloud / Zhongzhi Shi
• Research on Semantic Programming Language / Shi Ying
• Effectively Constructing Reliable Data for Cross-Domain Text Classification / Fuzhen Zhuang, Qing He and Zhongzhi Shi
• Improving Transfer Learning by Introspective Reasoner / Zhongzhi Shi, Bo Zhang and Fuzhen Zhuang
• PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce / Ning Li, Fuzhen Zhuang, Qing He and Zhongzhi Shi
• Analysis on Limitation Origins of Information Theory / Yong Wang, Huadeng Wang and Qiong Cao
• Intelligent Inventory Control: Is Bootstrapping Worth Implementing? / Tatpong Katanyukul, Edwin K.P. Chong and William S. Duff
• Support Vector Machine with Mixture of Kernels for Image Classification / Dongping Tian, Xiaofei Zhao and Zhongzhi Shi.

• The BDIP Software Architecture and Running Mechanism for Self-Organizing MAS / Yi Guo, Xinjun Mao, Fu Hou, Cuiyun Hu and Jianming Zhao
• Optimization of Initial Centroids for K-Means Algorithm Based on Small World Network / Shimo Shen and Zuqiang Meng
• ECCO: A New Evolutionary Classifier with Cost Optimisation / Adam Omielan and Sunil Vadera
• Reasoning Theory for D3L with Compositional Bridge Rules / Xiaofei Zhao, Dongping Tian, Limin Chen and Zhongzhi Shi
• Semantic Keyword Expansion: A Logical Approach / Limin Chen
• An ABox Abduction Algorithm for the Description Logic ALCI / Yanwei Ma, Tianlong Gu, Binbin Xu and Liang Chang
• Reasoning about Assembly Sequences Based on Description Logic and Rule / Yu Meng, Tianlong Gu and Liang Chang
• Dynamic Logic for the Semantic Web / Liang Chang, Qicheng Zhang, Tianlong Gu and Zhongzhi Shi
• On the Support of Ad-Hoc Semantic Web Data Sharing / Jing Zhou, Kun Yang, Lei Shi and Zhongzhi Shi
• An Architecture Description Language Based on Dynamic Description Logics / Zhuxiao Wang, Hui Peng, Jing Guo, Ying Zhang and Kehe Wu, et al.

• Query Expansion Based-on Similarity of Terms for Improving Arabic Information Retrieval / Khaled Shaalan, Sinan Al-Sheikh and Farhad Oroumchian
• Towards an Author Intention Based Computational Model of Story Generation / Feng Zhu and Cungen Cao
• Adaptive Algorithm for Interactive Question-Based Search / Jacek Rzeniewicz, Julian Szymański and Włodzisław Duch
• Research of Media Material Retrieval Scheme Based on XPath / Shuang Feng and Weina Zhang
• Construction of SCI Publications Information System for Statistic / Xie Wu, Huimin Zhang and Jingbo Jiang
• Symbolic ZBDD Representations for Mechanical Assembly Sequences / Fengying Li, Tianlong Gu, Guoyong Cai and Liang Chang
• The Representation of Indiscernibility Relation Using ZBDDs / Qianjin Wei, Tianlong Gu, Fengying Li and Guoyong Cai
• Symbolic OBDD Assembly Sequence Planning Algorithm Based on Unordered Partition with 2 Parts of a Positive Integer / Zhoubo Xu, Tianlong Gu and Rongsheng Dong
• A Representation Model of Geometrical Tolerances Based on First Order Logic / Yuchu Qin, Yanru Zhong, Liang Chang and Meifa Huang.

• Modeling Group Emotion Based on Emotional Contagion / Yanjun Yin, Weiqing Tang and Weiqing Li
• Hierarchical Overlapping Community Discovery Algorithm Based on Node Purity / Guoyong Cai, Ruili Wang and Guobin Liu
• Finding Topic-Related Tweets Using Conversational Thread / Peng Cao, Shenghua Liu, Jinhua Gao, Huawei Shen and Jingyuan Li, et al.
• Messages Ranking in Social Network / Bo Li, Fengxian Shi and Enhong Chen
• Diagnosis of Internetware Systems Using Dynamic Description Logic / Kun Yang, Weiqun Cui, Junheng Teng and Chenzhe Hang
• Reasoning about Semantic Web Services with an Approach Based on Temporal Description Logic / Juan Wang, Liang Chang, Chuangying Zhu and Rongsheng Dong
• Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter / Yonghong Yu and Yang Gao
• Recommendation-Based Trust Model in P2P Network Environment / Yueju Lei and Guangxi Chen
• Frequency-Adaptive Cluster Head Election in Wireless Sensor Network / Tianlong Yun, Wenjia Niu, Xinghua Yang, Hui Tang and Song Ci.

• A Cluster-Based Multilevel Security Model for Wireless Sensor Networks / Chao Lee, Lihua Yin and Yunchuan Guo
• A New Security Routing Algorithm Based on MST for Wireless Sensor Network / Meimei Zeng and Hua Jiang
• A Novel Model for Semantic Learning and Retrieval of Images / Zhixin Li, ZhiPing Shi, ZhengJun Tang and Weizhong Zhao
• Automatic Image Annotation and Retrieval Using Hybrid Approach / Zhixin Li, Weizhong Zhao, Zhiqing Li and Zhiping Shi
• Double Least Squares Pursuit for Sparse Decomposition / Wanyi Li, Peng Wang and Hong Qiao
• Ensemble of k-Labelset Classifiers for Multi-label Image Classification / Dapeng Zhang and Xi Liu
• Robust Palmprint Recognition Based on Directional Representations / Hengjian Li, Lianhai Wang and Zutao Zhang
• FPGA-Based Image Acquisition System Designed for Wireless / Haohao Yuan, Jianhe Zhou and Suqiao Li
• A Context-Aware Multi-Agent Systems Architecture for Adaptation of Autonomic Systems / Kaiyu Wan and Vasu Alagar
• Eyes Closeness Detection Using Appearance Based Methods / Xue Liu, Xiaoyang Tan and Songcan Chen.

This book constitutes the refereed proceedings of the 7th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2012, held in Guilin, China, in October 2012. The 39 revised papers presented together with 5 short papers were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, automatic reasoning, semantic web, information retrieval, knowledge representation, social networks, trust software, internet of things, image processing, and pattern recognition.

• Multi-Agent Systems.- Teams in Multi-Agent Systems.- The Link between Agent Coordination and Cooperation.- Classification of Intelligent Agent Network Topologies and a New Topological Description Language for Agent Networks.- Reactive (Re) Planning Agents in a Dynamic Environment.- Automated Reasoning.- Reasoning about Actions, Knowledge and Normative Ability.- Applying Quantum Algorithm to Speed Up the Solution of Hamiltonian Cycle Problems.- Model Checking for Real-Time Temporal, Cooperation and Epistemic Properties.- Probabilistic Approximation under Incomplete Information Systems.- Semantic Web and Ontology.- DDL: Embracing Actions into Semantic Web.- One Axiomatic System for the Ontology Revision.- A Survey of Autonomic Computing Systems.- Trust Calculation.- QA System Metis Based on Web Searching and Semantic Graph Matching.- Extended Semantic Network for Knowledge Representation.- Education for Rural Sector Using Knowledge Network.- Search Technology.- Extraction of Leader-Pages in WWW.- Safe Use of Protected Web Resources.- Applying Quantum Search to a Known-Plaintext Attack on Two-Key Triple Encryption.- Quantum Search: Reduces the Time and Cost for Searching for Objects in Multiple-Server Peer-To-Peer Networks.- Machine Learning.- Efficient Knowledge Assessment Based on Convex Geometries.- A New Cluster Merging Algorithm of Suffix tree Clustering.- Fuzzy Linguistic Variable Matrix and Parabola-Based Fuzzy Normal Distribution.- A New Method for Modeling Principal Curve.- Solving Cluster Ensemble Problems by Correlation's matrix & GA.- Study on Compound Genetic and Back Propagation Algorithm for Prediction of Coal and Gas Outburst Risk.- Development of an OLAP-Fuzzy Based Process Mining System for Quality Improvement.- Innovation Knowledge Acquisition.- Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.- Expert Systems.- An Iterative Heuristics Expert System for Enhancing Consolidation Shipment Process in Logistics Operations.- A Fast JPDA-IMM-PF based DFS Algorithm for Tracking Highly Maneuvering Targets.- An Improved Particle Filter Algorithm Based on Neural Network for Target Tracking.- A Mimetic Algorithm for Refinement of Lower Bound of Number of Tracks in Channel Routing Problem.- Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic.- MRBF: A Method for Predicting HIV-1 Drug Resistance.- The PGNN for the Differentiation of Syndromes of the Kidney.- Deviation Analysis and Failure Diagnosis of Diesel Engine.- Image Processing.- Utilizing Structural Context for Region Classification.- A Neuro-Fuzzy System for Automatic Multi-Level Image Segmentation using KFCM and Exponential Entropy.- Comparison of Image Analysis for Thai Handwritten Character Recognition.- 2D Conditional Random Fields for Image Classification.- Image Enhancement Using Nonsubsampled Contourlet Transform.- Nonlinear Similarity Based Image Matching.- Natural Language Processing.- A Fuzzy Approach for Persian Text Segmentation Based on Semantic Similarity of Sentences.- An Intelligent System for Solo Taxonomy.- Educating Lia: The Development of a Linguistically Accurate Memory-Based Lemmatiser for Afrikaans.- Arabic Morphological Generation from Interlingua.- Development of a Multilingual Parallel Corpus and a Part-of-Speech Tagger for Afrikaans.- Ubiquitous Computing.- Content-Based Filtering for Music Recommendation Based on Ubiquitous Computing.- An Iterative Approach to Image Super-Resolution.- Interacting with Computer Using Ears and Tongue.- Short Paper.- The Process of Synchronization in Dual Redundant Fault-Tolerant System.- Application of Association Rules for Efficient Learning Work-Flow.- Application of Machine Translation in China-America Digital Academic Library.- IIP2006 Proceedings.- A Formal Description of Agents' Epistemic States and Environments.- Network Anomalous Intrusion Detection using Fuzzy-Bayes.- Reference Algorithm of Text Categorization Based on Fuzzy Cognitive Maps.- An Ontology-Based and Cooperative Annotation System.- Simulating Agent Emotion in a Virtual Super Market.- Digging High Risk Defects Out in Software Engineering.- Visual Clustering of Complex Network Based on Nonlinear Dimension Reduction.- Reduced Attribute Oriented Handling of Inconsistency in Decision Generation.- Message Retrieval and Classification from Chat Room Servers Using Bayesian Networks.- Operational Semantics of the Seal Calculus.
• (source: Nielsen Book Data)

Intelligent Information Processing supports the most advanced productive tools that are said to be able to change human life and the world itself. This book presents the proceedings of the 4th IFIP International Conference on Intelligent Information Processing. This conference provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in all aspects of Intelligent Information Processing.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 9th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2016, held in Melbourne, VIC, Australia, in October 2016. The 24 full papers and 3 short papers presented were carefully reviewed and selected from more than 40 submissions. They are organized in topical sections on machine learning, data mining, deep learning, social computing, semantic web and text processing, image understanding, and brain-machine collaboration.
(source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 8th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2014, held in Hangzhou, China, in October 2014. The 32 revised papers presented were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, web mining, multi-agent systems, automatic reasoning, decision algorithms, multimedia, pattern recognition, and information security.

• Invited talks
• Annotation
• Ontology alignment
• Document and recommendation
• Social network and RSS
• Ontology integration and interoperability
• Reasoning
• Application
• Information search
• Database
• Semantic Web services
• Ontology and tool
• Ontology and theory
• Peer-to-peer
• Industrial track.

• Machine Learning.- An AdaBoost Based- Deep Stochastic Configuration Network.- Comparative Study of Chaos-embedded Particle Swarm Optimization.- A Novel Feature Selection Algorithm Based on Aquila Optimizer for COVID-19 Classification.- Inductive Light Graph Convolution Network for Text Classification based on Word-Label Graph.- Sparse Subspace Clustering Based on Adaptive Parameter Training.- A Hybrid Multi-objective Optimization Algorithm with Improved Neighborhood Rough Sets for Feature Selection.- Augmenting Convolution Neural Networks By Utilizing Attention Mechanism for Knowledge Tracing.- Data Mining.- Interactive Mining of User-Preferred Co-Location Patterns Based on SVM.- Classification between Rumors and Explanations of Rumors based on Common and Difference Subsequences of Sentences.- Double-Channel Multi-layer Information Fusion for Text Matching.- Augmenting Context Representation with Triggers Knowledge for Relation Extraction.- Does Large Pretrained Dataset always help? On the Effect of Dataset Size on Big Transfer Model.- Using Multi-level Attention based on Concept Embedding Enrichen Short Text to Classification.- Multiagent Systems.- Pre-loaded Deep-Q Learning.- Resource Scheduling for Human-Machine Collaboration in Multiagent Systems.- Social Computing.- Automatic Generation and Analysis of Role Relation Network from Emergency Plans.- Information Tracking Extraction for Emergency Scenario Response.- Neighborhood Network for Aspect-based Sentiment Analysis.- A Hybrid Parallel Algorithm with Multiple Improved Strategies.- Blockchain Technology.- Research on Blockchain Privacy Protection Mechanism in Financial Transaction Services based on Zero-knowledge Proof and Federal Learning.- A Distributed Supply Chain Architecture Based on Blockchain Technology.- Game Theory and Emotion.- A Game-Theoretic Analysis of Impulse Purchase.- A Self-supervised Strategy for the Robustness of VQA Models.- Employing Contrastive Strategies for Multi-label Textual Emotion Recognition.- Pattern Recognition.- Fault Localization Based on Deep Neural Network and Execution Slicing.- Defect Detection and Classification of Strip Steel based on Improved VIT Model.- ROSES: A novel semi-supervised feature selector.- Improving speech emotion recognition by fusing pre-trained and acoustic features using Transformer and BiLSTM.- A Pear Leaf Diseases Image Recognition Model Based on Capsule Network.- Software Defect Prediction Method Based on Cost-Sensitive Random Forest.- Fault Diagnosis of Sewage Treatment Equipment Based on Feature Selection.- Attention Adaptive Chinese Named Entity Recognition Based on Vocabulary Enhancement.- Image Processing.- A HEp-2 Cell Image Classification Model Based on Deep Residual Shrinkage Network Combined with Dilated Convolution.- A Method on Online Learning Video Recommendation Method Based on Knowledge Graph.- Data Transformation for Super-Resolution on Ocean Remote Sensing Images.- A Novel RGBD Image Superpixel Segmentation Intergrated Depth Map Quality.- Super-Resolution of Defocus Thread Image Based on Cycle Generative Adversarial Networks.- Multi-instance Learning for Semantic Image Analysis.- High-resolution Remote Sensing Image Semantic Segmentation Method Based on Improved Encoder-Decoder Convolutional Neural Network.- Applications.- A Method for AGV Double-cycling Scheduling at Automated Container Terminals.- Predicting Student Performance In Online Learning Using A Highly Efficient Gradient Boosting Decision Tree.- Adapting on Road Traffic-oriented Controlled Optimization of Phases to Heterogeneous Intersections.- A Method of Garbage Quantity Prediction based on Population Change.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 12th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2022, held in Qingdao, China, in July 2022. The 37 full papers and 6 short papers presented were carefully reviewed and selected from 57 submissions. They are organized in topical sections on Machine Learning, Data Mining, Multiagent Systems, Social Computing, Blockchain Technology, Game Theory and Emotion, Pattern Recognition, Image Processing and Applications.
(source: Nielsen Book Data)

• Keynote Presentations.- Semantic Computing.- Towards Brain-inspired Web Intelligence.- Data Mining Technologies Inspired from Visual Principle.- Semantic Web Services.- A Context Model for Service Composition Based on Dynamic Description Logic.- Evaluation of Ontologies and DL Reasoners.- ER2OWL: Generating OWL Ontology from ER Diagram.- Knowledge Acquisition and Management.- Voice knowledge acquisition system for the management of cultural heritage.- Granularity of Knowledge from Different Sources.- Fuzzy Ontology Models Based on Fuzzy Linguistic Variable for Knowledge Management and Information Retrieval.- Data Mining.- Blog Classification: Adding Linguistic Knowledge to Improve the K-NN Algorithm.- A Modified Clustering Method with Fuzzy Ants.- An New Algorithm for Modeling Regression Curve.- Web Search.- Enhancing Web Search with Heterogeneous Semantic Knowledge.- Exploring Words with Semantic Correlations from Chinese Wikipedia.- A Heuristic Knowledge Reduction Algorithm Based on Partition Subdivision and Consistent Degree.- Cognition-based Intelligent Information Processing.- Object-based Image Retrieval with Attention Analysis and Spatial Re-ranking.- Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models.- A Robot Emotion Generation Mechanism Based on PAD Emotion Space.- Study of Personalized Network Tutoring System Based on Emotional-cognitive Interaction.- Image Processing.- A Novel Fingerprint Matching Method Combining Geometric and Texture Features.- Distinctive Image Region Features from Color Invariant Moments.- Inter-video Similarity for Video Parsing.- Image Segmentation of Historical Handwriting from Palm Leaf Manuscripts.- Virtual Organization and Applications.- Virtual Organizations: Trends and Models.- A Survey of UML Based Regression Testing.- Virtual Organizations: An Overview.- Risk Management and Computational Linguistics.- A Risk Assessment System with Automatic Extraction of Event Types.- Addressing Risk Assessment for Patient Safety in Hospitals through Information Extraction in Medical Reports.- An SMS-based System Architecture (Logical Model) to Support Management of Information Exchange in Emergency Stuations. poLINT-112-SMS PROJECT.- Semi Automatic Ontology Instantiation in the domain of Risk Management.
• (source: Nielsen Book Data)

Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing "knowledge pieces" as rather universal objects that should fit to multi-purpose a- ing systems. According to great number of information system's tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.
(source: Nielsen Book Data)

• Multi-Agent Systems.- Teams in Multi-Agent Systems.- The Link between Agent Coordination and Cooperation.- Classification of Intelligent Agent Network Topologies and a New Topological Description Language for Agent Networks.- Reactive (Re) Planning Agents in a Dynamic Environment.- Automated Reasoning.- Reasoning about Actions, Knowledge and Normative Ability.- Applying Quantum Algorithm to Speed Up the Solution of Hamiltonian Cycle Problems.- Model Checking for Real-Time Temporal, Cooperation and Epistemic Properties.- Probabilistic Approximation under Incomplete Information Systems.- Semantic Web and Ontology.- DDL: Embracing Actions into Semantic Web.- One Axiomatic System for the Ontology Revision.- A Survey of Autonomic Computing Systems.- Trust Calculation.- QA System Metis Based on Web Searching and Semantic Graph Matching.- Extended Semantic Network for Knowledge Representation.- Education for Rural Sector Using Knowledge Network.- Search Technology.- Extraction of Leader-Pages in WWW.- Safe Use of Protected Web Resources.- Applying Quantum Search to a Known-Plaintext Attack on Two-Key Triple Encryption.- Quantum Search: Reduces the Time and Cost for Searching for Objects in Multiple-Server Peer-To-Peer Networks.- Machine Learning.- Efficient Knowledge Assessment Based on Convex Geometries.- A New Cluster Merging Algorithm of Suffix tree Clustering.- Fuzzy Linguistic Variable Matrix and Parabola-Based Fuzzy Normal Distribution.- A New Method for Modeling Principal Curve.- Solving Cluster Ensemble Problems by Correlation's matrix & GA.- Study on Compound Genetic and Back Propagation Algorithm for Prediction of Coal and Gas Outburst Risk.- Development of an OLAP-Fuzzy Based Process Mining System for Quality Improvement.- Innovation Knowledge Acquisition.- Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.- Expert Systems.- An Iterative Heuristics Expert System for Enhancing Consolidation Shipment Process in Logistics Operations.- A Fast JPDA-IMM-PF based DFS Algorithm for Tracking Highly Maneuvering Targets.- An Improved Particle Filter Algorithm Based on Neural Network for Target Tracking.- A Mimetic Algorithm for Refinement of Lower Bound of Number of Tracks in Channel Routing Problem.- Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic.- MRBF: A Method for Predicting HIV-1 Drug Resistance.- The PGNN for the Differentiation of Syndromes of the Kidney.- Deviation Analysis and Failure Diagnosis of Diesel Engine.- Image Processing.- Utilizing Structural Context for Region Classification.- A Neuro-Fuzzy System for Automatic Multi-Level Image Segmentation using KFCM and Exponential Entropy.- Comparison of Image Analysis for Thai Handwritten Character Recognition.- 2D Conditional Random Fields for Image Classification.- Image Enhancement Using Nonsubsampled Contourlet Transform.- Nonlinear Similarity Based Image Matching.- Natural Language Processing.- A Fuzzy Approach for Persian Text Segmentation Based on Semantic Similarity of Sentences.- An Intelligent System for Solo Taxonomy.- Educating Lia: The Development of a Linguistically Accurate Memory-Based Lemmatiser for Afrikaans.- Arabic Morphological Generation from Interlingua.- Development of a Multilingual Parallel Corpus and a Part-of-Speech Tagger for Afrikaans.- Ubiquitous Computing.- Content-Based Filtering for Music Recommendation Based on Ubiquitous Computing.- An Iterative Approach to Image Super-Resolution.- Interacting with Computer Using Ears and Tongue.- Short Paper.- The Process of Synchronization in Dual Redundant Fault-Tolerant System.- Application of Association Rules for Efficient Learning Work-Flow.- Application of Machine Translation in China-America Digital Academic Library.- IIP2006 Proceedings.- A Formal Description of Agents' Epistemic States and Environments.- Network Anomalous Intrusion Detection using Fuzzy-Bayes.- Reference Algorithm of Text Categorization Based on Fuzzy Cognitive Maps.- An Ontology-Based and Cooperative Annotation System.- Simulating Agent Emotion in a Virtual Super Market.- Digging High Risk Defects Out in Software Engineering.- Visual Clustering of Complex Network Based on Nonlinear Dimension Reduction.- Reduced Attribute Oriented Handling of Inconsistency in Decision Generation.- Message Retrieval and Classification from Chat Room Servers Using Bayesian Networks.- Operational Semantics of the Seal Calculus.
• (source: Nielsen Book Data)

Intelligent Information Processing supports the most advanced productive tools that are said to be able to change human life and the world itself. This book presents the proceedings of the 4th IFIP International Conference on Intelligent Information Processing. This conference provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in all aspects of Intelligent Information Processing.
(source: Nielsen Book Data)