Title
Emotions And Personality In Agent Design And Modeling
Abstract
Our research combines two diverse strands of work in AI and cognitive science. We start from the principled paradigm of rational agent design based on decision theory. We then use this paradigm to formally define the emotional states and personality of an artificial intelligent agent. We view the emotional states as the agent's decision-making modes, predisposing the agent to make its choices in a specific, yet rational, way. Change of the emotional state, say due to an external stimulus, in vokes a transformation of the agent's decision-making behavior. We define personality as consisting of the agent's emotional states together with the specification of transitions taking place among the states. To enable an artificial agent to model the personalities and emotional states of agents and humans that it interacts with, we additionally provide a precise definition of a personality models of other agents. Our definition allows the personality models to be learned over the course of multiple interactions with the users and other agents. © Springer-Verlag Berlin Heidelberg 2002.
Publication Date
1-1-2002
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
2333 LNAI
Number of Pages
21-31
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/3-540-45448-9_3
Copyright Status
Unknown
Socpus ID
84901724197 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84901724197
STARS Citation
Gmytrasiewicz, Piotr J. and Lisetti, Christine L., "Emotions And Personality In Agent Design And Modeling" (2002). Scopus Export 2000s. 2703.
https://stars.library.ucf.edu/scopus2000/2703