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Plan, Activity, and Intent Recognition

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 homes

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.

  • 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
Part I: Plan and Goal Recognition
Chapter 1. Hierarchical Goal Recognition
Chapter 2. Weighted Abduction for Discourse Processing Based on Integer Linear Programming
Chapter 3. Plan Recognition using Statistical Relational Models
Chapter 4. Keyhole Adversarial Plan Recognition for Recognition of Suspicious and Anomalous Behavior

Part II: Activity Discovery and Recognition
Chapter 5. Scaling Activity Recognition
Chapter 6. Extraction of Latent Patterns and Contexts from Social Honest Signals Using Hierarchical Dirichlet Processes

Part III: Modeling Human Cognition
Chapter 7. Modeling Human Plan Recognition using Bayesian Theory of Mind
Chapter 8. DecisionTheoretic Planning in Multiagent Settings with Application to Modeling Human Strategic Behavior

Part IV: Multiagent Systems
Chapter 9. MultiAgent Plan Recognition from Partially Observed Team Traces
Chapter 10. Role-based Ad Hoc Teamwork

Part IV: Applications
Chapter 11. Probabilistic plan recognition for proactive assistant agents
Chapter 12. Recognizing Player Goals in OpenEnded Digital Games with Markov Logic Networks
Chapter 13. Using Opponent Modeling to Adapt Team Play in American Football
Chapter 14. Intent Recognition for HumanRobot Interaction

Book Details

  • Paperback: 424 pages
  • Publisher: Morgan Kaufmann (February 2014)
  • Language: English
  • ISBN-10: 0123985323
  • ISBN-13: 978-0123985323
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