Introducing affect into competitive game play

Maha Alabduljalil, Songhua Xu, Willard Miranker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - 20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'08
Pages246-250
Number of pages5
DOIs
StatePublished - Dec 22 2008
Event20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'08 - Dayton, OH, United States
Duration: Nov 3 2008Nov 5 2008

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Volume2

Other

Other20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'08
CountryUnited States
CityDayton, OH
Period11/3/0811/5/08

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Science Applications

Keywords

  • Anti-tit-for-tat
  • Consciousness
  • Stock trading
  • Terms-affect
  • Tit-for-two-tat

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