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 :
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