Title
The PAC cognitive architecture
Abstract
The PAC (personality, affect, and cognition) Architecture is a new modeling architecture designed to create Intelligent Virtual Agents with spe cific personality traits, emotions, and cultural characteristics. PAC integrates theory and data from personality and social psychology, cognitive sci ence, and neuroscience to build a model of personality, emotion, and culture based on fundamental underlying human motivational systems (e.g., dominance, coalition formation, affectional relationships, self-protection, mate choice, parenting, and attachment). These motives are activated by situational cues, but individual agents can have differing baseline activations for different motives. Motives are controlled through a hierarchy of control processes (e.g., Approach and Avoidance systems, Disinhibition/Constraint system) that can be differentially set to capture individual differences. In PAC, the activation dynamics of underlying motives influence both the way in which another agent’s behavior is interpreted and the target agent’s choice of actions. Thus, the motive dynamics give rise to persistent individual behavioral tendencies, that is, differences in personality.
Year
DOI
Venue
2006
10.1007/11821830_49
IVA
Keywords
Field
DocType
mate choice,pac cognitive architecture,fundamental underlying human motivational,underlying motive,new modeling architecture,spe cific personality trait,target agent,avoidance system,individual agent,persistent individual behavioral tendency,individual difference,social psychology,cognitive architecture
Social psychology,Big Five personality traits,Psychology,Disinhibition,Mate choice,Motif (music),Situational ethics,Cognitive architecture,Cognition,Personality
Conference
Volume
Issue
ISSN
4133
184
0302-9743
ISBN
Citations 
PageRank 
3-540-37593-7
0
0.34
References 
Authors
1
7
Name
Order
Citations
PageRank
Lynn C. Miller1112.87
Stephen J. Read2223.95
Wayne Zachary33314.15
Jean-Christophe LeMentec451.15
Vassil Iordanov551.15
Andrew Rosoff661.54
James Eilbert732.48