Plan, Activity, and Intent Recognition: Theory and Practice

Book 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 , 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 security
  • opponent modeling in and simulation systems
  • coordination in robots and software agents
  • web e-commerce and collaborative filtering
  • dialog modeling
  • video surveillance
  • smart homes

follow the history of this research area and witness exciting new developments in the field made possible by improved , 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 1: Plan and GoalRecognition
Chapter 1 Hierarchical Goal Recognition
Chapter 2 Weighted Abduction for Discourse Processing Based on Integer Linear Programming
Chapter 3 Plan Recognition Using Statistical–Relational
Chapter 4 Keyhole Adversarial Plan Recognition for Recognition of Suspicious and Anomalous Behavior

Part 2: Activity Discovery and Recognition
Chapter 5 Stream Sequence Mining for Human Activity Discovery
Chapter 6 Learning Latent Activities from Social Signals with Hierarchical Dirichlet Processes

Part 3: Modeling Human Cognition
Chapter 7 Modeling Human Plan Recognition Using Bayesian Theory of Mind
Chapter 8 Decision-Theoretic Planning in Multiagent Settings with Application to Behavioral Modeling

Part 4: Multiagent Systems
Chapter 9 Multiagent Plan Recognition from Partially Observed Team Traces
Chapter 10 Role-Based Ad Hoc Teamwork

Part 5: Applications
Chapter 11 Probabilistic Plan Recognition for Proactive Assistant Agents
Chapter 12 Recognizing Player Goals in Open-Ended Digital Games with Markov Logic Networks
Chapter 13 Using Opponent Modeling to Adapt Team Play in American Football
Chapter 14 Intent Recognition for Human–Robot Interaction

Book Details

Download LinkFormatSize (MB)Upload Date
Download from EU(multi)PDF12.712/28/2014
Download from FilePiPDF12.712/28/2014
Download from UpLoadedPDF12.701/05/2017
Download from ZippySharePDF12.710/24/2016
How to Download? Report Dead Links & Get a Copy