Title
Plan, Activity, And Intent Recognition: Theory And Practice
Abstract
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. © 2014 Elsevier Inc. All rights reserved.
Publication Date
1-1-2014
Publication Title
Plan, Activity, and Intent Recognition: Theory and Practice
Number of Pages
1-385
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/C2012-0-01169-6
Copyright Status
Unknown
Socpus ID
84902910186 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84902910186
STARS Citation
Sukthankar, Gita; Goldman, Robert P.; Geib, Christopher; Pynadath, David V.; and Bui, Hung Hai, "Plan, Activity, And Intent Recognition: Theory And Practice" (2014). Scopus Export 2010-2014. 9056.
https://stars.library.ucf.edu/scopus2010/9056