DocumentCode
3337460
Title
Introducing Affect into Competitive Game Play
Author
Alabduljalil, Maha ; Xu, Songhua ; Miranker, Willard
Author_Institution
Dept. of Comput. Sci., Yale Univ., New Haven, CT
Volume
2
fYear
2008
fDate
3-5 Nov. 2008
Firstpage
246
Lastpage
250
Abstract
A dynamic notion of affect (degree of satisfaction) that an agent acquires in competitive iterated game play is developed. Simulated play against both a random environment and a competitor agent is used to study the impact of affect on game playing strategies. For definiteness, the formulation is framed in terms of stock trading. Comments on how affect in game play informs a notion of consciousness along with simulations are given.
Keywords
game theory; stock markets; competitive iterated game play; competitor agent; game playing strategies; random environment; simulated play; stock trading; Artificial intelligence; Computational modeling; Computer science; Displays; Game theory; Marketing and sales; Predictive models; Switches; Timing; USA Councils; affect; anti-tit-for-tat; consciousness; stock trading; tit-for-two-tat;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location
Dayton, OH
ISSN
1082-3409
Print_ISBN
978-0-7695-3440-4
Type
conf
DOI
10.1109/ICTAI.2008.63
Filename
4669782
Link To Document