Towards Large-Scale Optimization of Iterated Prisoner Dilemma Strategies

Grażyna Starzec, Mateusz Starzec, Aleksander Byrski, Marek Kisiel-Dorohinicki, Juan C. Burguillo, Tom Lenaerts

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1 Citaat (Scopus)


The Iterated Prisoner’s Dilemma (IPD) game is a one of the most popular subjects of study in game theory. Numerous experiments have investigated many properties of this game over the last decades. However, topics related to the simulation scale did not always play a significant role in such experimental work. The main contribution of this paper is the optimization of IPD strategies performed in a distributed actor-based computing and simulation environment. Besides showing the scalability and robustness of the framework, we also dive into details of some key simulations, analyzing the most successful strategies obtained.
Originele taal-2English
TitelTransactions on computational collective intelligence XXXII
SubtitelLecture Notes in Computer Science
UitgeverijSpringer Verlag
Aantal pagina's17
ISBN van geprinte versie978-3-662-58611-2
StatusPublished - 2019

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11370 LNCS


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