Presentation 2007/3/8
An examination of emerging cooparation under double-bind dilemma
Shihomi WADA, Keiji SUZUKI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we compare the experimental results of human agent with that of programmed agent using double-bind prisoner's dilemma game, which ordinary prisoner's dilemma game is nested into another dilemma, that is, a player has to decide firstly if s/he will play prisoner's dilemma or not. We find that when cooperation is chosen in the second stage, both human and programmed agents show any preference in what kind of 2x2 game they play. On the other hand, human agents are willing to play ordinary prisoner's dilemma game when they choose defection in the second stage, though programmed agents show any preference in the first stage. This suggests that programmed agents may be cooperators and get close to the Pareto optimal equilibrium in an appropriate setting.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) double-bind prisoner's dilemma game / prisoner's dilemma game / reinforcement learning / preference
Paper # AI2006-42
Date of Issue

Conference Information
Committee AI
Conference Date 2007/3/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Vice Chair

Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An examination of emerging cooparation under double-bind dilemma
Sub Title (in English)
Keyword(1) double-bind prisoner's dilemma game
Keyword(2) prisoner's dilemma game
Keyword(3) reinforcement learning
Keyword(4) preference
1st Author's Name Shihomi WADA
1st Author's Affiliation Graduate School of Future University-Hakodate, System Information Science()
2nd Author's Name Keiji SUZUKI
2nd Author's Affiliation Future University-Hakodate, Departmemt of System Information Science
Date 2007/3/8
Paper # AI2006-42
Volume (vol) vol.106
Number (no) 586
Page pp.pp.-
#Pages 8
Date of Issue