Paper Info
Title
Experimental criteria to identify efficient probabilistic memory-one strategies for the iterated prisoner's dilemma.
Abstract
Many works and articles about probabilistic strategies for the prisoner’s dilemma have already been realised. Notably Press & Dyson 2012 article has lead to renewed interest in the subject. In this article, with the help of a systematic study of probabilistic memory-one strategies, we show that there is a basic criterion to configure and anticipate their success. This criterion, identified through the study of large homogeneous sets of strategies, is then compared to other similar criteria. Our experimental method has allowed us to discover new strategies that are efficient not only in probabilistic environments, but also in more general, probabilistic or non-probabilistic environments. We test the robustness of our results by various methods and compare the new strategies obtained with the best strategies currently known.
Year
DOI
Venue
2019
10.1016/j.simpat.2019.101946
Simulation Modelling Practice and Theory
Keywords
Field
DocType
Iterated prisoner’s dilemma,Probabilistic strategies,Simulation,Agents’ Strategies,Evolutionary game theory,Behaviour
Computer science,Homogeneous,Prisoner's dilemma,Control engineering,Robustness (computer science),Artificial intelligence,Dilemma,Probabilistic logic,Iterated function
Journal
Volume
ISSN
Citations 
97
1569-190X
1
PageRank 
References 
Authors
0.48
0
2
Name
Order
Citations
PageRank
Philippe Mathieu113928.72
Jean-Paul Delahaye232554.60