By Robert P. Goldman, Christopher Geib, Gita Sukthankar, Hung Hai Bui, David Pynadath
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: March 2014
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
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
Plan, Activity, and Intent Recognition
Robert P. Goldman, Christopher Geib, Gita Sukthankar, Hung Hai Bui, David Pynadath