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 Osborne, Philip.
 San Rafael : Morgan & Claypool Publishers, 2022.
 Description
 Book — 1 online resource (109 pages)
 Sreedharan, Sarath, author.
 [San Rafael, California] : Morgan & Claypool Publishers, [2022]
 Description
 Book — 1 online resource (xx, 164 pages) : color illustrations.
 Summary

 Preface Acknowledgments Introduction Measures of Interpretability Explicable Behavior Generation Legible Behavior Explanation as Model Reconciliation Acquiring Mental Models for Explanations Balancing Communication and Behavior Explaining in the Presence of Vocabulary Mismatch Obfuscatory Behavior and Deceptive Communication Applications Conclusion Bibliography Authors' Biographies Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Mirsky, Reuth, author.
 Cham, Switzerland : Springer, [2020]
 Description
 Book — 1 online resource (xx, 100 pages) : illustrations.
 Summary

 Preface Acknowledgments Introduction Defining a Recognition Problem Implicit vs. Explicit Representation of Knowledge Improving a Recognizer Future Directions Bibliography Authors' Biographies.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Silva, Felipe Leno da, author.
 San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, [2021]
 Description
 Book — 1 online resource (xvii, 111 pages) : illustrations (some color).
 Summary

 Preface Acknowledgments Introduction Background Taxonomy IntraAgent Transfer Methods InterAgent Transfer Methods Experiment Domains and Applications Current Challenges Resources Conclusion Bibliography Authors' Biographies.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
5. Graph representation learning [2020]
 Hamilton, William L. (William Leif), author.
 Cham, Switzerland : Springer, [2020]
 Description
 Book — 1 online resource (xvii, 141 pages) : illustrations
 Summary

 Preface Acknowledgments Introduction Background and Traditional Approaches Neighborhood Reconstruction Methods MultiRelational Data and Knowledge Graphs The Graph Neural Network Model Graph Neural Networks in Practice Theoretical Motivations Traditional Graph Generation Approaches Deep Generative Models Conclusion Bibliography Author's Biography.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
6. Introduction to graph neural networks [2020]
 Liu, Zhiyuan, 1984 author.
 Cham, Switzerland : Springer, [2020]
 Description
 Book — 1 online resource (xvii, 109 pages) : illustrations
 Summary

 Preface Acknowledgments Introduction Basics of Math and Graph Basics of Neural Networks Vanilla Graph Neural Networks Graph Convolutional Networks Graph Recurrent Networks Graph Attention Networks Graph Residual Networks Variants for Different Graph Types Variants for Advanced Training Methods General Frameworks Applications
 Structural Scenarios Applications
 NonStructural Scenarios Applications
 Other Scenarios Open Resources Conclusion Bibliography Authors' Biographies.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
7. Introduction to logic programming [2020]
 Genesereth, Michael R., 1948 author.
 Cham, Switzerland : Springer, [2020]
 Description
 Book — 1 online resource (xx, 199 pages) : illustrations
 Summary

 Preface Introduction Datasets Queries Updates Query Evaluation View Optimization View Definitions View Evaluation Examples Lists, Sets, Trees Dynamic Systems Metaknowledge Operations Dynamic Logic Programs Database Management Interactive Worksheets Variations References Authors' Biographies.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
8. Multiobjective decision making [2017]
 Roijers, Diederik M., author.
 Cham, Switzerland : Springer, [2017]
 Description
 Book — 1 online resource (xvii, 111 pages) : illustrations
 Summary

 Preface Acknowledgments Table of Abbreviations Introduction MultiObjective Decision Problems Taxonomy Inner Loop Planning Outer Loop Planning Learning Applications Conclusions and Future Work Bibliography Authors' Biographies.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Bazzan, Ana L. C., author.
 Cham, Switzerland : Springer, [2014]
 Description
 Book — 1 online resource (xvii, 119 pages) : illustrations
 Summary

 Preface Acknowledgments List of Symbols Introduction Elements of Supply Elements of Demand Traffic Assignment: Connecting Supply and Demand Getting Data for Demand Estimation and Traffic Flow Modeling Modeling and Simulation of Advanced Decision Making Intelligent Measures in Control and Management Driver Support and Guidance Trends and New Technologies Bibliography Authors' Biographies.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
10. Answer set solving in practice [2013]
 Gebser, Martin, author.
 Cham, Switzerland : Springer, ©2013.
 Description
 Book — 1 online resource (xxv, 212 pages) : illustrations
 Summary

 List of Figures List of Tables Motivation Introduction Basic modeling Grounding Characterizations Solving Systems Advanced modeling Conclusions.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
11. Human computation [2011]
 Law, Edith L. M. (Edith Lok Man), 1977
 Cham, Switzerland : Springer, ©2011.
 Description
 Book — 1 online resource (xi, 105 pages) : illustrations
 Summary

 Introduction Human Computation Algorithms Aggregating Outputs Task Routing Understanding Workers and Requesters The Art of Asking Questions The Future of Human Computation.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
12. Trading agents [2011]
 Wellman, Michael P.
 Cham, Switzerland : Springer, ©2011.
 Description
 Book — 1 online resource (xiii, 93 pages) : illustrations
 Summary

 Introduction Example: Bidding on eBay Auction Fundamentals Continuous Double Auctions Interdependent Markets Conclusion.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
13. Visual object recognition [2011]
 Grauman, Kristen Lorraine, 1979
 Cham, Switzerland : Springer, ©2011.
 Description
 Book — 1 online resource (xvii, 163 pages) : illustrations
 Summary

 Introduction Overview: Recognition of Specific Objects Local Features: Detection and Description Matching Local Features Geometric Verification of Matched Features Example Systems: SpecificObject Recognition Overview: Recognition of Generic Object Categories Representations for Object Categories Generic Object Detection: Finding and Scoring Candidates Learning Generic Object Category Models Example Systems: Generic Object Recognition Other Considerations and Current Challenges Conclusions.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
14. Algorithms for reinforcement learning [2010]
 Szepesvári, Csaba.
 Cham, Switzerland : Springer, ©2010.
 Description
 Book — 1 online resource (xii, 89 pages) : illustrations
 Summary

 Markov Decision Processes Value Prediction Problems Control For Further Exploration.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Genesereth, Michael R., 1948
 Cham, Switzerland : Springer, ©2010.
 Description
 Book — 1 online resource (xi, 97 pages) : illustrations
 Summary

 Preface Interactive Edition Introduction Basic Concepts Query Folding Query Planning Master Schema Management Appendix References Index Author Biography.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
16. Introduction to semisupervised learning [2009]
 Zhu, Xiaojin, Ph. D.
 Cham, Switzerland : Springer, ©2009.
 Description
 Book — 1 online resource (xi, 116 pages) : color illustrations
 Summary

 Introduction to Statistical Machine Learning Overview of SemiSupervised Learning Mixture Models and EM CoTraining GraphBased SemiSupervised Learning SemiSupervised Support Vector Machines Human SemiSupervised Learning Theory and Outlook.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Domingos, Pedro.
 Cham, Switzerland : Springer, ©2009.
 Description
 Book — 1 online resource (viii, 145 pages) : illustrations
 Summary

 Introduction Markov Logic Inference Learning Extensions Applications Conclusion.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Haslum, Patrik.
 Cham, Switzerland : Springer, [2019]
 Description
 Book — 1 online resource
 Summary

 1. Introduction
 1.1. What is AI planning?
 1.2. Planning models
 1.3. Examples
 1.4. The origins of PDDL and the scope of this book
 1.5. Planning systems and modelling tools
 2. Discrete and deterministic planning
 2.1. Domain and problem definition
 2.2. Plans and plan validity
 2.3. Notes on PDDL's syntax : the strips fragment
 2.4. Advanced modelling examples
 2.5. Expressiveness and complexity
 3. More expressive classical planning
 3.1. Conditional and quantified conditions and effects
 3.2. Axioms
 3.3. Preferences and plan quality
 3.4. State trajectory constraints
 3.5. Expressiveness and complexity
 4. Numeric planning
 4.1. Numeric planning in PDDL
 4.2. Numeric plan validity
 4.3. More modelling examples
 4.4. Complexity of numeric planning
 5. Temporal planning
 5.1. Durative actions
 5.2. Planning with predictable events
 5.3. Temporal plan validity
 5.4. Combining numeric and temporal planning
 6. Planning with hybrid systems
 6.1. Continuous processes
 6.2. Exogenous events
 6.3. Example : the generator
 6.4. Example : multiplebattery management
 6.5. Plan validation in hybrid domains
 7. conclusion
 7.1. Other planning PDDLlike languages
 7.2. The future of PDDL
 A. Online PDDL resources.
19. Learning and decisionmaking from rank data [2019]
 Xia, Lirong, author.
 Cham, Switzerland : Springer, [2019]
 Description
 Book — 1 online resource (xv, 143 pages) : illustrations
 Summary

 Preface Acknowledgments Introduction Statistical Models for Rank Data Parameter Estimation Algorithms The RankBreaking Framework Mixture Models for Rank Data Bayesian Preference Elicitation Socially Desirable Group DecisionMaking from Rank Data Future Directions Bibliography Author's Biography.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Dechter, Rina, 1950 author.
 Second edition.  Cham, Switzerland : Springer, [2019]
 Description
 Book — 1 online resource (xiv, 185 pages) : illustrations
 Summary

 Preface Introduction Defining Graphical Models Inference: Bucket Elimination for Deterministic Networks Inference: Bucket Elimination for Probabilistic Networks TreeClustering Schemes AND/OR Search Spaces for Graphical Models Combining Search and Inference: Trading Space for Time Conclusion Bibliography Author's Biography.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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