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• 1. Introduction.-
• 2. Preliminaries.-
• 3. Two Consensus Problems.-
• 4. The Distributed Observer Approach.-
• 5. Leader-Following Consensus of Multiple Euler-Lagrange Systems.-
• 6. Leader-Following Consensus of Multiple Rigid Body Systems.-
• 7. Output Regulation.-
• 8. Cooperative Output Regulation of Linear Multi-agent Systems by Feedforward Design.-
• 9. Cooperative Robust Output Regulation of Linear Multi-agent Systems.-
• 10. Cooperative Robust Output Regulation of Nonlinear Multi-agent Systems.-
• 11. Cooperative Robust Output Regulation of Nonlinear Multi-agent Systems over Switching Graphs.
• (source: Nielsen Book Data)

The main focus of this book is a pair of cooperative control problems: consensus and cooperative output regulation. Its emphasis is on complex multi-agent systems characterized by strong nonlinearity, large uncertainty, heterogeneity, external disturbances and jointly connected switching communication topologies. The cooperative output regulation problem is a generalization of the classical output regulation problem to multi-agent systems and it offers a general framework for handling a variety of cooperative control problems such as consensus, formation, tracking and disturbance rejection. The book strikes a balance between rigorous mathematical proof and engineering practicality. Every design method is systematically presented together with illustrative examples and all the designs are validated by computer simulation. The methods presented are applied to several practical problems, among them the leader-following consensus problem of multiple Euler-Lagrange systems, attitude synchronization of multiple rigid-body systems, and power regulation of microgrids. The book gives a detailed exposition of two approaches to the design of distributed control laws for complex multi-agent systems-the distributed-observer and distributed-internal-model approaches. Mastering both will enhance a reader's ability to deal with a variety of complex real-world problems. Cooperative Control of Multi-agent Systems can be used as a textbook for graduate students in engineering, sciences, and mathematics, and can also serve as a reference book for practitioners and theorists in both industry and academia. Some knowledge of the fundamentals of linear algebra, calculus, and linear systems are needed to gain maximum benefit from this book. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
(source: Nielsen Book Data)

• Introduction.- Preliminaries of Sliding Mode Control and Graph Theory.- Discrete-time Sliding Mode Protocols for Leader-Following Consensus of Homogeneous Discrete Multi-Agent System with Fixed Graph Topology.- Discrete-time Sliding Mode Protocols for Leader-Following Consensus of Discrete Multi-Agent System with Switching Graph Topology.- Discrete-time Higher Order Sliding Mode Protocols for Leader-Following Consensus of Homogeneous Discrete Multi-Agent System.- Event-triggered Discrete-time Higher-order Sliding Mode Protocol for Leader-Following Consensus of Homogeneous DMAS.- Discrete-time Higher-Order Sliding Mode Protocol for Consensus of Leader-Following Heterogeneous Discrete Multi-Agent System.- Concluding remarks and future scope.
• (source: Nielsen Book Data)

This book presents few novel Discrete-time Sliding Mode (DSM) protocols for leader-following consensus of Discrete Multi-Agent Systems (DMASs). The protocols intend to achieve the consensus in finite time steps and also tackle the corresponding uncertainties. Based on the communication graph topology of multi-agent systems, the protocols are divided into two groups, namely (i) Fixed graph topology and (ii) Switching graph topology. The coverage begins with the design of Discrete-time Sliding Mode (DSM) protocols using Gao's reaching law and power rate reaching law for the synchronization of linear DMASs by using the exchange of information between the agents and the leader to achieve a common goal. Then, in a subsequent chapter, analysis for no. of fixed-time steps required for the leader-following consensus is presented. The book also includes chapters on the design of Discrete-time Higher-order Sliding Mode (DHSM) protocols, Event-triggered DSM protocols for the leader-following consensus of DMASs. A chapter is also included on the design of DHSM protocols for leader-following consensus of heterogeneous DMASs. Special emphasis is given to the practical implementation of each proposed DSM protocol for achieving leader-following consensus of helicopter systems, flexible joint robotic arms, and rigid joint robotic arms. This book offers a ready reference guide for graduate students and researchers working in the areas of control, automation, and communication engineering, and in particular the cooperative control of multi-agent systems. It will also benefit professional engineers working to design and implement robust controllers for power systems, autonomous vehicles, military surveillance, smartgrids/microgrids, vehicle traffic management, robotic teams, and aerial robots.
(source: Nielsen Book Data)

• Series Editor's Introduction Preface Acknowledgments About the Author
• Chapter 1: The Idea of Agent-Based Modeling 1.1 Agent-Based Modeling 1.2 Some Examples 1.3 The Features of Agent-Based Modeling 1.4 Other Related Modeling Approaches
• Chapter 2: Agents, Environments, and Timescales 2.1 Agents 2.2 Environments 2.3 Randomness 2.4 Time 2.5 Population Learning
• Chapter 3: Designing an Agent-Based Model 3.1 Design Steps 3.2 An Example of Developing an Agent-Based Model
• Chapter 4: Developing an Agent-Based Model 4.1 Modeling Toolkits, Libraries, Languages, Frameworks, and Environments 4.2 Using NetLogo to Build Models 4.3 Building the Collectivities Model Step by Step 4.4 Verification: Getting Rid of the Bugs 4.5 Validation 4.6 Techniques for Validation
• Chapter 5: Using Agent-Based Models 5.1 Planning an Agent-Based Modeling Project 5.2 Reporting Agent-Based Model Research 5.3 Agent-Based Models for Public Policy Resources Societies and Associations Journals Mailing List and Web Sites Glossary References Index.
• (source: Nielsen Book Data)

This second edition introduces the technique of agent-based modeling; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies. An accompanying simulation using NetLogo and commentary on the program can be downloaded on the book's website: https://study.sagepub.com/researchmethods/qass/gilbert-agent-bas ed-models-2e.
(source: Nielsen Book Data)

This compendium covers several important topics related to multiagent systems, from learning and game theoretic analysis, to automated negotiation and human-agent interaction. Each chapter is written by experienced researchers working on a specific topic in mutliagent system interactions, and covers the state-of-the-art research results related to that topic.The book will be a good reference material for researchers and graduate students working in the area of artificial intelligence/machine learning, and an inspirational read for those in social science, behavioural economics and psychology.
(source: Nielsen Book Data)

• Background Information
• A New Approach for Disruption Management
• Conclusions
• Appendixes.

Most of the research efforts dealing with airline scheduling have been done on off-line plan optimization. However, nowadays, with the increasingly complex and huge traffic at airports, the real challenge is how to react to unexpected events that may cause plan-disruptions, leading to flight delays. Moreover these disruptive events usually affect at least three different dimensions of the situation: the aircraft assigned to the flight, the crew assignment and, often forgotten, the passengers' journey and satisfaction. This book includes answers to this challenge and proposes the use of the Multi-agent System paradigm to rapidly compose a multi-faceted solution to the disruptive event taking into consideration possible preferences of those three key aspects of the problem. Negotiation protocols taking place between agents that are experts in solving the different problem dimensions, combination of different utility functions and, not less important, the inclusion of the human in the automatic decision-making loop make MASDIMA, the system described in this book, well suited for real-life plan-disruption management applications.

• Designing International Humanitarian Law into Military Autonomous Devices.- Epistemic Diversity and Explanatory Adequacy in Distributed Information Processing.- The Complexity of Norm Synthesis and Revision.- Embracing AWKWARD! Real-Time Adjustment of Reactive Plans Using Social Norms.- Self-Learning Governance of Black-Box Multi-Agent Systems.- Computational Theory of Mind for Human-Agent Coordination.- Computational Discovery of Transaction-Based Financial Crime via Grammatical Evolution: The Case of Ponzi Schemes.- Centralized Norm Enforcement in Mixed-Motive Multiagent Reinforcement Learning.- Supporting the Reasoning about Environmental Consequences of Institutional Actions.- Social Motives and Social Contracts in Cooperative Survival Games.- Evaluating Human and Agent Task Allocators in Ad Hoc Human-Agent Teams.- Fleur: Social Values Orientation for Robust Norm Emergence.- Reasoning about Collective Action in Markov Logic: A Case Study from Classical Athens.- Design Heuristics for Ethical Online Institutions.
• (source: Nielsen Book Data)

This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COINE 2022, which was held in Auckland, New Zealand, on May 9, 2022. The 14 papers included in these proceedings were carefully reviewed and selected from 15 submissions. They deal with autonomous agents and multi-agent systems, focusing on the scientific and technological aspects of social coordination, organizational theory, artificial (electronic) institutions, and normative and ethical MAS.
(source: Nielsen Book Data)

• Robustness of Congestion Pricing in Traffic Networks with Link-specific Noise.- Explanation-based Negotiation Protocol for Health Coaching.- Cooperative driving at intersections through agent-based argumentation.- Dyadic Obligations: Proofs and Countermodels via Hypersequents.- On Normative Reinforcement Learning via Safe Reinforcement Learning.- Analysis of Carbon Neutrality Scenarios of Industrial Consumers Using Electric Power Market Simulations.- Task Allocation on Networks with Execution Uncertainty.- Incorporating AI methods in micro-dynamic analysis to support group-specific policy-making.- False-Name-Proof Facility Location on Wheel Graphs.- Improving Problem Decomposition and Regulation in Distributed Multi-Agent Path Finder (DMAPF).- Assume-Guarantee Verification of Strategic Ability.- Sample Complexity of Learning Multi-Value Opinions in Social Networks.- A Hybrid Model of Traffic Assignment and Control for Autonomous Vehicles.- MTIRL: Multi-trainer interactive reinforcement learning system.- Action Languages Based Actual Causality in Decision Making Contexts.- Goal-oriented coordination with cumulative goals.- Optimal Parameter Selection Using Explainable AI for Time-Series Anomaly Detection.- Does Order Simultaneity Affect the Data Mining Task in Financial Markets?
• Effect Analysis of Order Simultaneity using Artificial Market.- Fine-grained Prediction and Control of Covid-19 Pandemic in a City: Application to Post-Initial Stages.- Preference Aggregation Mechanisms for a Tourism-Oriented Bayesian Recommender.- Weaponizing Actions in Multi-Agent Reinforcement Learning: Theoretical and Empirical Study on Security and Robustness.- Learning to Classify Logical Formulas based on their Semantic Similarity.- Time Series Predictive Models for Opponent Behavior Modeling in Bilateral Negotiations.- An MCTS-based Algorithm to Solve Sequential CFGs on Valuation Structures.- The FastMap Pipeline for Facility Location Problems.- An Axiomatic Approach to Formalized Responsibility Ascription.- Task Selection Algorithm for Multi-Agent Pickup and Delivery with Time.- Synchronization.- Dynamic Continuous Distributed Constraint Optimization Problems.- DITURIA: A Framework for Decision Coordination Among Multiple Agents.- Evaluating Adaptive and Non-adaptive Strategies for Selecting and Orienting Influencer Agents for Effective Flock Control.- A Proportional Pricing Mechanism for Ridesharing Services With Meeting Points.- Privacy-Aware Explanations for Team Formation.- A New Semantics for The Action Language mA*.- Coalition Logic for Specification and Verification of Smart Contract Upgrades.- Collaborative Multi-Agent System for Automatic Linear Text Segmentation.- Start Making Sense: Identifying Behavioural Indicators When Things Go Wrong During Interaction with Artificial Agents.- Comparing mediated and unmediated agent-based negotiation in Wi-Fi channel assignment.- Design of Conversational Components to Facilitate Human-Agent Negotiation.- AN Using Local Search in Multi-Issue Bilateral and Repeated Negotiation.- Ontology-based Reflective Communication for Shared Human-AI Recognition of Emergent Collaboration Patterns.- Accounting for Strategic Response in Limit Order Book Dynamics.- Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.- On Reachable Assignments under Dichotomous Preferences.- Identifying Necessary and Sufficient Conditions for the Enforcement Problem of Argumentation Frameworks.- Collaborative filtering to capture AI user's preferences as norms.- Influence Of Expertise Complementarity on Ad Hoc Human-Agent Team Effectiveness.- STV+AGR: Towards Verification of Strategic Ability Using Assume-Guarantee Reasoning.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in hybrid mode in Valencia, Spain, in November 2022. The 31 full papers presented together with 15 short papers and 1 demo paper were carefully reviewed and selected from 100 submissions.The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
(source: Nielsen Book Data)

• [I]. Multi-agent systems and Internet of Things: Distributed speaking objects : a case for massive multiagent systems / Marco Lippi, Marco Mamei, Stefano Mariani, and Franco Zambonelli
• Injecting (micro)intelligence in the IoT : logic-based approaches for (M)MAS / Andrea Omicini and Roberta Calegari
• Integrating Internet of Services and Internet of Things from a multiagent perspective / Donghui Lin, Yohei Murakami, and Toru Ishida.

• [II]. Architectures of massively multi-agent systems: Two-layer architecture for distributed massively multi-agent systems / Yohei Murakami, Takao Nakaguchi, Donghui Lin, and Toru Ishida
• Multi-agent social simulation for social service design / Itsuki Noda
• Inverse reinforcement learning for agents behavior in a crowd simulator / Nahum Alvarez and Itsuki Noda
• FARM : architecture for distributed agent-based social simulations / Jim Blythe and Alexey Tregubov.

• [III]. Applications of massively multi-agent systems: Diversity in massively multi-agent systems : concepts, implementations, and normal accidents / Philip Feldman and Antonio Bucchiarone
• CARAVAN : a framework for comprehensive simulations on massive parallel machines / Yohsuke Murase, Hiroyasu Matsushima, Itsuki Noda, and Tomio Kamada
• BASIC : towards a blockchained agent-based simulator for cities / Luana Marrocco, Eduardo Castelló Ferrer, Antonio Bucchiarone, Arnaud Grignard, Luis Alonso, Kent Larson, and Alex 'Sandy' Pentland.

This book contains revised selected and invited papers presented at the International Workshop on Massively Multi-Agent Systems, MMAS 2018, held in Stockholm, Sweden, in July 2018. The 7 revised full papers presented were carefully reviewed and selected for inclusion in this volume. Also included are 3 post-workshop papers. The papers discuss enabling technologies, new architectures, promising applications, and challenges of massively multi-agent systems in the era of IoT. They are organized in the following topical sections: multi-agent systems and Internet of Things; architectures for massively multi-agent systems; and applications of massively multi-agent systems.
(source: Nielsen Book Data)

• Intro; Preface; Organization; Contents; Temporal Epistemic Gossip Problems; 1 Introduction; 2 Definitions; 3 Membership in NP; 4 A Subproblem of the Temporal Gossip Problem in P; 5 NP-completeness When Execution Time Is Bounded; 6 NP-completeness of Gossiping with Negative Goals; 7 Discussion and Conclusion; References; Partial and Full Goal Satisfaction in the MUSA Middleware; 1 Introduction; 2 Motivation; 3 Full and Partial Goal Satisfaction; 4 The Agent and Artifact Architecture; 4.1 Implementing the Metric for Partial Satisfaction; 5 Discussion; 6 Conclusions; References

• Generalising the Dining Philosophers Problem: Competitive Dynamic Resource Allocation in Multi-agent Systems1 Introduction and Related Work; 2 Generalisation of the Dining Philosophers Problem; 3 Logic for Specification and Verification of GDP Games; 4 Symbolic Representation of Configurations on GDP Games; 5 Symbolic Verification of LGDP Formulae in GDP Games; 6 Conclusions and Outlook to Future Work; A Appendix: Proof of Theorem1; References; Interpreting Information in Smart Environments with Social Patterns; 1 Introduction; 2 Background; 3 The SCAA Framework; 3.1 Social Information

• 3.2 Architecture4 Case Study: Distributed Collaborative Care System; 5 Related Work; 6 Conclusions; References; Learning Hedonic Games via Probabilistic Topic Modeling; 1 Introduction; 2 Background and Related Work; 2.1 Hedonic Games; 2.2 Probabilistic Topic Modeling; 2.3 Uncertainty; 3 Game Interpretation as Documents; 4 Experimental Evaluation; 4.1 Dataset and Setting Escalation; 4.2 Significant Agents and Valid Topics; 4.3 Results; 5 Conclusion and Future Work; A Appendix: Detailed Results; References; Learning Best Response Strategies for Agents in Ad Exchanges; 1 Introduction

• 2 Related Work3 Model for the Publisher in an Ad Exchange; 3.1 HBA Types (Advertiser's Strategies); 3.2 HBA Beliefs and Best Responses; 3.3 HBA Censored; 3.4 KM Estimator for Stochastic Opponents; 4 Experimental Results; 4.1 Agents in the Type Space A; 4.2 Neural Network Agent; 5 Discussion and Conclusions; References; Towards Online Electric Vehicle Scheduling for Mobility-On-Demand Schemes; 1 Introduction; 2 Problem Formulation; 3 Scheduling Algorithms; 3.1 Short Mode Algorithm; 3.2 Long Mode Algorithm; 4 MOD Software Package; 4.1 Web Platform; 4.2 Mobile Application

• 5 Testing and Evaluation6 Conclusions and Future Work; References; Two-Sided Markets: Mapping Social Welfare to Gain from Trade; 1 Introduction; 2 Preliminaries; 3 Converting Social Welfare to Gain from Trade; 4 Experimental Results; 5 Conclusion and Discussion; References; Affective Decision-Making in Ultimatum Game: Responder Case; 1 Introduction; 2 Preliminaries; 2.1 General Notation; 2.2 Ultimatum Game Rules; 2.3 Markov Decision Process; 3 Ultimatum Game as Markov Decision Process: Responder's Strategy; 3.1 Model of the Responder; 3.2 Dynamic Programming in UG; 4 Illustrative Experiments

This book constitutes the revised post-conference proceedings of the 16th European Conference on Multi-Agent Systems, EUMAS 2018, held at Bergen, Norway, in December 2018. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 34 submissions. The papers report on both early and mature research and cover a wide range of topics in the field of multi-agent systems. .
(source: Nielsen Book Data)

• Main track full papers
• Deliberation towards transitivity with unshared features
• K-ACE: a Flexible Environment for Knowledge-Aware Multi-Agent Systems
• Formal analysis of responsibility attribution in a multimodal framework
• Decidable Verification of Agent-Based Data-aware Systems
• New Distributed Constraint Reasoning Algorithms for Load Balancing in Edge Computing
• A Distributed and Clustering-based Algorithm for the Enumeration Problem in Abstract Argumentation
• Dynamic multi-agent systems: conceptual framework, automata-based modelling and verification
• Usefulness of Information for Goal Achievement
• A Scheduler for Smart Homes with Probabilistic User Preferences
• Supply Chain Management World: A benchmark environment for situated negotiations
• Coordination of Mobile Agents for Simultaneous Coverage
• MCTS-based Automated Negotiation Agent
• Automating Agential Reasoning: Proof-Calculi and Syntactic Decidability for STIT Logics
• Selfish Mining in Proof-of-Work Blockchain with Multiple Miners: An Empirical Evaluation
• A Co-Evolutionary Approach to Analyzing the Impact of Rationality on the Italian Electricity Market
• Modelling Shared Decision Making in Medical Negotiations: Interactive Training with Cognitive Agents
• Doxastic Group Reasoning via Multiple Belief Shadowing
• Subset Spaces for Conditional Norms
• Integrating CP-nets in Reactive BDI Agents
• SAT-Based Automated Mechanism Design for False-Name-Proof Facility Location
• Solving Coalition Structure Generation Problems over Weighted Graph
• From good intentions to behaviour change: Probabilistic Feature Diagrams for Behaviour Support Agents
• Identifying Belief Sequences in a Network of Communicating Agents
• Non-monotonic collective decisions
• A Coalitional Algorithm for Recursive Delegation
• Short papers
• Compact Frequency Memory for Reinforcement Learning with Hidden States
• Leveraging Symmetric Relations for Approximation Coalition Structure Generatio n
• Deception/Honesty Detection and (Mis)trust Building in Manipulable Multi-Agent Argumentation: an Insight
• Self-Vehicle Positioning Using Smart Infrastructures
• A Combined Netflow-driven and Agent-based Social Modeling Approach for Building Evacuation
• Imperfect Information in Alternating-time Temporal Logic on Finite Traces
• TAMER: Task Allocation in Multi-Robot Systems Through an Entity-Relationship Model
• A Modeling Environment for Reified Temporal-Causal Networks: Modeling Plasticity and Metaplasticity in Cognitive Agent Models
• The Choice Between Bad and Worse: A Cognitive Agent Model for Desire Regulation under Stress
• Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models
• Emergent Privacy Norms for Collaborative Systems
• Estimating Missing Environmental Information by Contextual Data Cooperation
• Semantics of extended argumentation frameworks defined by renovation sets
• Smart RogAgent: where Agents and Humans Team Up
• Coordination in Collaborative Work by Deep Reinforcement Learning with Various State Descriptions
• Learning to Explain Anger : An Adaptive Humanoid-Agent for Cyber-Aggression
• SPSC: a new execution policy for exploring discrete-time stochastic simulations
• Computational Complexity of Hedonic Games on Sparse Graphs
• Strategies for Energy-Aware Multi-Agent Continuous Cooperative Patrolling Problems subject to Requirements
• Deep false-name-proof auction mechanisms
• Ubiquitous computing and multi-agent systems: clarification of the lexicon
• Explainable ASP
• Block Argumentation
• DyNeMoC: Statistical Model Checking for Agent Based Systems on Graphs
• An Adaptive Cognitive Agent Model for Development of a Hoarding Disorder and Recovery from it by Therapy.

This book constitutes the refereed proceedings of the 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019, held in Turin, Italy, in October 2019. The 25 full papers presented and 25 short papers were carefully reviewed and selected from 112 submissions. The papers presented at the PRIMA 2019 conference focus on the following topics: Logic and Reasoning, Engineering Multi-Agent Systems, Agent-Based Modeling and Simulation, Collaboration and Coordination, Economic Paradigms, Human-Agent Interaction, Decentralized Paradigms, and Application Domains for Multi-Agent Systems.

• Social Choice Theory as a Foundation for Multiagent Systems
• A Boolean Game Based Modeling of Socio-Technical Systems
• Evaluating Strategies for Penny Auctions Using Multi-Agent Systems
• Robustness Analysis of Negotiation Strategies through Multiagent Learning in Repeated Negotiation Games
• Using Multi-attribute Combinatorial Auctions for Resource Allocation
• A Negotiation-Based Genetic Framework for Multi-Agent Credit Assignment
• Agent-Based Concepts for Manufacturing Automation
• Orchestrating the Sequential Execution of Tasks by a Heterogeneous Set of Asynchronous Mobile Agents
• A Conceptual Framework of a Decision Support System for Operational Dispatching of Agricultural Bulk Goods
• An Agent-Based Approach
• Planning with Numeric Key Performance Indicators over Dynamic Organizations of Intelligent Agents
• Employing Automatic Temporal Abstractions to Accelerate Utile Suffix Memory Algorithm
• The Effects of Variation on Solving a Combinatorial Optimization Problem in Collaborative Multi-Agent Systems
• Complexity Measurement of Multi-Agent Systems
• Extensible Java EE-based Agent Framework in Clustered Environments
• Programming BDI Agents with Pure Java
• AGADE: How Individual Guidance Leads to Group Behaviour and How This Can Be Simulated
• A Tree-Based Context Model to Optimize Multiagent Simulation
• Agent-Based Modeling and Simulation of the Emotional and Behavioral Dynamics of Human Civilians during Emergency Situations.

This book constitutes the proceedings of the 12th German Conference on Multiagent System Technologies, MATES 2014, held in Stuttgart, Germany, in September 2014. The 9 full papers and 7 short papers included in this volume were carefully reviewed and selected from 31 submissions. The book also contains 2 invited talks. The papers are organized in topical sections named: mechanisms, negotiation, and game theory; multiagent planning, learning, and control; and multiagent systems engineering, modeling and simulation.

• Invited Speakers.- Machine ethics - is it just normative multi-agent systems?.- Conceptual Frameworks Architectures for Collaboration and Coordination.- A Framework for Automatic Monitoring of Norms that regulate Time Constrained Actions.- Collaborative Human-Agent Planning for Resilience.- Environmental consequences of institutional facts in artificial institutions.- Noe: Norms Emergence and Robustness Based on Emotions in Multiagent Systems.- Run-time Norms Synthesis in Multi-Objective Multi-Agent Systems.- Modelling and Understanding Social Behaviour Using COINE Technologies.- A Bayesian model of information cascades.- Interactions between social norms and incentive mechanisms in organizations.- Learning for Detecting Norm Violation in Online Communities.- Solving social dilemmas by reasoning about expectations.
• (source: Nielsen Book Data)

This book constitutes revised selected papers from the thoroughly refereed proceedings of the International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV, COINE 2021, held in London, UK, May 3, 2021. The 9 full papers included in this book were carefully reviewed and selected from 12 submissions. They were organized in topical sections as follows: Invited talk; conceptual frameworks architectures for collaboration and coordination; and modelling and understanding social behaviour using COINE technologies.
(source: Nielsen Book Data)

• The 15th Multi-Agent Programming Contest: Assemble with care.- FIT BUT: Rational Agents in the Multi-Agent Programming Contest.- The 15th Edition of the Multi-Agent Programming Contest - The GOAL-DTU Team.- MLFC: From 10 to 50 Planners in the Multi-Agent Programming Contest.- The LTI-USP strategy to the 2020/2021 Multi-Agent Programming Contest.- JaCaMo Builders: Team Description for the Multi-Agent Programming Contest 2020/21.
• (source: Nielsen Book Data)

This book constitutes the 15th edition of the annual Multi-Agent Programming Contest, MAPC 2020. It gives an overview of the competition, describes the current scenario. Furthermore, it summarises this year's participants and their approaches and analyses some of the matches played and the contest as a whole. In the second part, each team contributed a paper describing their approach and experiences with creating a team of agents to participate in the contest. .
(source: Nielsen Book Data)

• Contents:
• 1. A short history of computational simulation in management
• 2. Understanding agent-based computational simulation
• 3. Basic components of agent-based modelling
• 4. Planning and programming an agent-based model
• 5. Examples of models
• 6. Further research opportunities with ABM References Glossary Index.
• (source: Nielsen Book Data)

This clear and coherent book introduces agent-based modelling (ABM) to those who are not familiar with nor have been previously exposed to computational simulation. Featuring examples, cases and models, the book illustrates how ABM can, and should, be considered as a useful approach and technique for the study of management and organisational systems. Davide Secchi begins by explaining what ABM has to offer as opposed to other techniques, emphasising its suitability to the study of complex social systems. While dissecting the core components of the approach, he introduces key elements and mechanisms with a practice oriented approach rather than insisting solely on logic and theory. With an emphasis on applications and using examples from NetLogo - one of the most widely used agent-based software platforms - the book guides the reader through a step-by-step process on how to develop a computational simulation. Featuring a hands-on applied approach that makes a difficult topic easy for non-modellers, How Do I Develop an Agent-Based Model? will be a key resource for business and management Masters-level students embarking on a dissertation project. It will also be a useful reference for PhD students in the field, as well as a starting point for academics who would like to begin using ABM in their research.
(source: Nielsen Book Data)

• Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping / Haitham Bou Ammar, Matthew E. Taylor, Karl Tuyls, Gerhard Weiss
• Game Theory for Security: An Important Challenge for Multiagent Systems / Bo An, Milind Tambe
• Local Coordination in Online Distributed Constraint Optimization Problems / Tim Brys, Yann-Michaël De Hauwere, Ann Nowé, Peter Vrancx
• Improving Diagnosis Agents with Hybrid Hypotheses Confirmation Reasoning Techniques / Álvaro Carrera, Carlos A. Iglesias
• Towards a Design Process for Modeling MAS Organizations / Massimo Cossentino, Carmelo Lodato, Salvatore Lopes, Patrizia Ribino, Valeria Seidita
• Argumentation Strategies for Task Delegation / Chukwuemeka David Emele, Timothy J. Norman, Simon Parsons
• Using OWL 2 DL for Expressing ACL Content and Semantics / Nicoletta Fornara, Daniel Okouya, Marco Colombetti
• Self-adaptive Complex Systems / Marie-Pierre Gleizes
• Argumentation Semantics for Agents / Cristian Gratie, Adina Magda Florea
• Multi-agent Learning and the Reinforcement Gradient / Michael Kaisers, Daan Bloembergen, Karl Tuyls
• A Methodology for the Generation of Multi-agent Argumentation Dialogue Scenarios / Eric M. Kok, John-Jules Ch. Meyer, Herre van Oostendorp, Henry Prakken
• What Are Models for? / Peter McBurney
• QueryPOMDP: POMDP-Based Communication in Multiagent Systems / Francisco S. Melo, Matthijs T.J. Spaan, Stefan J. Witwicki
• A Multi-agent Based Governance of Machine-to-Machine Systems / Camille Persson, Gauthier Picard, Fano Ramparany, Olivier Boissier
• A Proposal of Process Fragment Definition and Documentation / Valeria Seidita, Massimo Cossentino, Antonio Chella
• Recognizing Internal States of Other Agents to Anticipate and Coordinate Interactions / Filipo Studzinski Perotto.

This book constitutes the thoroughly reviewed post-proceedings of the 9th International Workshop, EUMAS 2011, held in Maastricht, The Netherlands, in November 2011. The 16 revised full papers included in the book were carefully revised and selected from 45 submissions. This workshop is primarily intended as a European forum at which researchers and those interested in activities relating to research in the area of autonomous agents and multi-agent systems could meet, present (potentially preliminary) research results, problems, and issues in an open and informal but academic environment. The aim of this workshop was to encourage and support activity in the research and development of multi-agent systems, in academic and industrial efforts.

• Coalitional Public Announcement Games / Thomas Ågotnes and Hans van Ditmarsch
• Probabilistic Model Checking Multi-agent Behaviors in Dispersion Games Using Counter Abstraction / Jianye Hao, Songzheng Song, Yang Liu, Jun Sun and Lin Gui, et al.
• Debugging Is Explaining / Koen V. Hindriks
• An Efficient Negotiation Protocol to Achieve Socially Optimal Allocation / Jianye Hao and Ho-fung Leung
• Reassignment-Based Strategy-Proof Mechanisms for Interdependent Task Allocation / Ayman Ghoneim
• Mechanism for Robust Procurements / Yingqian Zhang and Sicco Verwer
• Auction-Based Strategies for the Open-System Patrolling Task / Cyril Poulet, Vincent Corruble and Amal El Fallah Seghrouchni
• A Decentralized Multi-agent Algorithm for the Set Partitioning Problem / Gerrit Anders, Florian Siefert, Jan-Philipp Steghöfer and Wolfgang Reif
• Two-Sided Parameter Learning of Role Selections for Efficient Team Formation / Dai Hamada and Toshiharu Sugawara
• Distributed Search Method with Bounded Cost Vectors on Multiple Objective DCOPs / Toshihiro Matsui, Marius Silaghi, Katsutoshi Hirayama, Makoto Yokoo and Hiroshi Matsuo
• Analysis of Opinion Spread through Migration and Adoption in Agent Communities / Feyza Merve Hafızoğlu and Sandip Sen
• From Green Norms to Policies -- Combining Bottom-Up and Top-Down Approaches / Bastin Tony Roy Savarimuthu, Lam-Son Lê and Aditya Ghose
• An Adaptive Witness Selection Method for Reputation-Based Trust Models / Han Yu, Zhiqi Shen and Bo An
• Provision and Appropriation of Common-Pool Resources without Full Disclosure / Jeremy Pitt and Julia Schaumeier
• Effect of Anticipatory Stigmergy on Decentralized Traffic Congestion Control / Takayuki Ito, Ryo Kanamori, Jun Takahashi, Ivan Marsa Maestre and Enrique de la Hoz
• Modeling a Surveillance Network Based on Unit Disk Graph Technique -- Application for Monitoring the Invasion of Insects in Mekong Delta Region / Viet Xuan Truong, Hiep Xuan Huynh, Minh Ngoc Le and Alexis Drogoul.

This book constitutes the refereed proceedings of the 15th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2012, held in Kuching, Sarawak, Malaysia, in September 2012. The conference was collocated with the 12th Pacific Rim International Conference on Artificial Intelligence, PRICAI. The 17 revised full papers presented were carefully reviewed and selected from 42 submissions. The papers are organized in topical sections on foundations, auctions and negotiation, coalition formation and teamwork, norms and institutions, and applications.

• Invited Talks
• Tournament Solutions and Their Applications to Multiagent Decision Making
• Research Challenges in Simulation Aided Design of Complex Multi-agent Systems
• Models and Specifications
• A Model Driven Development of Platform-Neutral Agents
• A Novel Formal Specification Approach for Real Time Multi-Agent System Functional Requirements
• Do You Get It? User-Evaluated Explainable BDI Agents
• Trust, Norms and Reputation
• Reputation in Multi Agent Systems and the Incentives to Provide Feedback
• Normative Deliberation in Graded BDI Agents
• Inducing Desirable Behaviour through an Incentives Infrastructure
• Models, Tools and Architectures
• SONAR/OREDI: A Tool for Creation and Deployment of Organisation Models
• Enhancing the Interoperability between Multiagent Systems and Service-Oriented Architectures through a Model-Driven Approach
• Unifying Agent and Component Concepts
• Applications I
• Impact of Competition on Quality of Service in Demand Responsive Transit
• Towards Distributed Agent Environments for Pervasive Healthcare
• Context-Aware Route Planning
• Coordination and Learning
• Social Conformity and Its Convergence for Reinforcement Learning
• COLYPAN: A Peer-to-Peer Architecture for a Project Management Collaborative Learning System
• Preference Generation for Autonomous Agents
• Evaluation of Techniques for a Learning-Driven Modeling Methodology in Multiagent Simulation
• Applications II
• Price Prediction in Sports Betting Markets
• Modelling Distributed Network Security in a Petri Net- and Agent-Based Approach.

Annotation This book constitutes the proceedings of the 8th German Conference on Multiagent System Technologies held in Leipzig, Germany, in September 2010.

• An Introduction to Multi-Agent Systems
• Hybrid Multi-Agent Systems
• A Framework for Coordinated Control of Multi-Agent Systems
• A Use of Multi-Agent Intelligent Simulator to Measure the Dynamics of US Wholesale Power Trade: A Case Study of the California Electricity Crisis
• Argument Mining from RADB and Its Usage in Arguing Agents and Intelligent Tutoring System
• Grouping and Anti-predator Behaviors for Multi-agent Systems Based on Reinforcement Learning Scheme
• Multi-agent Reinforcement Learning: An Overview
• Multi-Agent Technology for Fault Tolerant and Flexible Control
• Timing Agent Interactions for Efficient Agent-Based Simulation of Socio-Technical Systems
• Group-Oriented Service Provisioning in Next-Generation Network.

This book provides an overview of multi-agent systems and several applications that have been developed for real-world problems. Multi-agent systems is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexities arising from their interactions. Multi-agent systems allow the subproblems of a constraint satisfaction problem to be subcontracted to different problem solving agents with their own interest and goals. This increases the speed, creates parallelism and reduces the risk of system collapse on a single point of failure. Different multi-agent architectures, that are tailor-made for a specific application are possible. They are able to synergistically combine the various computational intelligent techniques for attaining a superior performance. This gives an opportunity for bringing the advantages of various techniques into a single framework. It also provides the freedom to model the behavior of the system to be as competitive or coordinating, each having its own advantages and disadvantages.