Paper Info
Title
Caaf: A Cognitive Affective Agent Programming Framework
Abstract
Cognitive agent programming frameworks facilitate the development of intelligent virtual agents. By adding a computational model of emotion to such a framework, one can program agents capable of using and reasoning over emotions. Computational models of emotion are generally based on cognitive appraisal theory; however, these theories introduce a large set of appraisal processes, which are not specified in enough detail for unambiguous implementation in cognitive agent programming frameworks. We present CAAF (Cognitive Affective Agent programming Framework), a framework based on the belief-desire theory of emotions (BDTE), that enables the computation of emotions for cognitive agents (i.e., making them cognitive affective agents). In this paper we bridge the remaining gap between BDTE and cognitive agent programming frameworks. We conclude that CAAF models consistent, domain independent emotions for cognitive agent programming.
Year
DOI
Venue
2016
10.1007/978-3-319-47665-0_28
INTELLIGENT VIRTUAL AGENTS, IVA 2016
Keywords
Field
DocType
Models of emotionally communicative behavior, Theoretical foundations and formal models, Dimensons of intelligence, cognition and behavior
Cognitive science,Computer science,Computational model,Appraisal theory,Affect (psychology),Cognition,Cognitive agent,Multimedia,Software framework
Conference
Volume
ISSN
Citations 
10011
0302-9743
2
PageRank 
References 
Authors
0.41
9
4
Name
Order
Citations
PageRank
Frank Kaptein1141.68
Joost Broekens234437.07
Koen V. Hindriks323837.43
Mark A. Neerincx475796.80