Freshly Printed - allow 10 days lead
Couldn't load pickup availability
Plan, Activity, and Intent Recognition
Theory and Practice
Gathers together core knowledge with the latest research and provides a single reference source for researchers
Gita Sukthankar (Edited by), Christopher Geib (Edited by), Hung Hai Bui (Edited by), David Pynadath (Edited by), Robert P. Goldman (Edited by)
9780123985323, Elsevier Science
Paperback, published 10 April 2014
424 pages
23.4 x 19 x 2.7 cm, 0.97 kg
"This book serves to provide a coherent snapshot of the exciting developments in the field enabled by improved sensors, increased computational power, and new application areas." - HPCMagazine.com, August 2014 "Plan recognition, activity recognition, and intent recognition all involve making inferences about other actors from observations of their behavior. These inferences are crucial in a wide range of applications including intelligent assistants, computer security, and dialogue management systems. This volume, edited by leading researchers, provides a timely snapshot of some of the key formulations, techniques, and applications that have been developed in this rich and rapidly evolving field." --Dr. Hector Geffner, ICREA & Universitat Pompeu Fabra, Barcelona "This book collects some of the top senior people in the field of plan recognition with some of the newest researchers. It offers a comprehensive review of plan recognition from multiple viewpoints, encompassing both logical and probabilistic formalisms and covering mathematical theory, computer science applications, and human cognitive models." --Dr. Peter Norvig, Director of Research at Google Inc. "Plan, Activity, and Intent Recognition is an indispensable resource for creating systems that infer peoples’ goals and plans on the basis of their behavior. Researchers in security, natural language dialog systems, smart spaces and pervasive computing, and other areas will find a comprehensive and up to date survey of methods, applications, and open research challenges." --Dr. Henry Kautz, University of Rochester, Past President of AAAI (Association for the Advancement of Artificial Intelligence)
Plan recognition, activity recognition, and intent recognition together combine and unify techniques from user modeling, machine vision, intelligent user interfaces, human/computer interaction, autonomous and multi-agent systems, natural language understanding, and machine learning. Plan, Activity, and Intent Recognition explains the crucial role of these techniques in a wide variety of applications including: In this book, follow the history of this research area and witness exciting new developments in the field made possible by improved sensors, increased computational power, and new application areas.
Plan and Goal Recognition 1. Hierarchical Goal Recognition 2. Weighted Abduction for Discourse Processing Based on Integer Linear Programming 3. Plan Recognition using Statistical Relational Models 4. Keyhole Adversarial Plan Recognition for Recognition of Suspicious and Anomalous Behavior Activity Discovery and Recognition 5. Scaling Activity Recognition 6. Extraction of Latent Patterns and Contexts from Social Honest Signals Using Hierarchical Dirichlet Processes Modeling Human Cognition 7. Modeling Human Plan Recognition using Bayesian Theory of Mind 8. Decision Theoretic Planning in Multiagent Settings with Application to Modeling Human Strategic Behavior Multiagent Systems 9. Multiagent Plan Recognition from Partially Observed Team Traces 10. Role-based Ad Hoc Teamwork Applications 11. Probabilistic plan recognition for proactive assistant agents 12. Recognizing Player Goals in Open-Ended Digital Games with Markov Logic Networks 13. Using Opponent Modeling to Adapt Team Play in American Football 14. Intent Recognition for Human-Robot Interaction
Subject Areas: Human-computer interaction [UYZ], Pattern recognition [UYQP], Artificial intelligence [UYQ]
