Paper Info
Title
Towards Large-Scale Optimization of Iterated Prisoner Dilemma Strategies.
Abstract
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.
Year
DOI
Venue
2019
10.1007/978-3-662-58611-2_4
Trans. Computational Collective Intelligence
Field
DocType
Volume
Parallel simulation,Computer science,Prisoner's dilemma,Theoretical computer science,Robustness (computer science),Game theory,Dilemma,Iterated function,Scalability
Journal
32
Citations 
PageRank 
References 
0
0.34
16
Authors
6
Name
Order
Citations
PageRank
Grazyna Starzec132.10
Mateusz Starzec200.34
Aleksander Byrski326945.03
Marek Kisiel-Dorohinicki427442.43
Juan C. Burguillo-rial536940.17
Tom Lenaerts627653.44