Description
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:- personal agent assistants- computer and network security- opponent modeling in games and simulation systems- coordination in robots and software agents- web e-commerce and collaborative filtering- dialog modeling- video surveillance- smart homesIn 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.- Combines basic theory on algorithms for plan/activity recognition along with results from recent workshops and seminars- Explains how to interpret and recognize plans and activities from sensor data- Provides valuable background knowledge and assembles key concepts into one guide for researchers or students studying these disciplines
Table of Contents
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 BehaviorActivity Discovery and Recognition 5. Scaling Activity Recognition 6. Extraction of Latent Patterns and Contexts from Social Honest Signals Using Hierarchical Dirichlet ProcessesModeling 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 BehaviorMultiagent Systems 9. Multiagent Plan Recognition from Partially Observed Team Traces 10. Role-based Ad Hoc TeamworkApplications 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
