Experimental criteria to identify efficient probabilistic memory-one strategies for the iterated prisoner’s dilemma

Author:

Mathieu PhilippeORCID,Delahaye Jean-Paul

Publisher

Elsevier BV

Subject

Hardware and Architecture,Modelling and Simulation,Software

Reference31 articles.

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2. Corrigendum: evolutionary instability of zero-determinant strategies demonstrates that winning is not everything;Adami;Nature Commun.,2014

3. The iterated prisoners dilemma: good strategies and their dynamics;Akin;Ergodic Theory, Adv. Dyn. Syst.,2016

4. The Evolution of Cooperation;Axelrod,2006

5. Our Meeting with Gradual, a Good Strategy for the Iterated Prisoners Dilemma;Beaufils,1997

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1. An Analysis of the Generalized Tit-for-Tat Strategy Within the Framework of Memory-One Strategies;Communications in Computer and Information Science;2023-10-30

2. Être ou ne pas être individualiste, quelles conséquences ?;Revue Ouverte d'Intelligence Artificielle;2023-07-04

3. Softening and Hardening in the Iterated Prisoner’s Dilemma;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-02

4. Probabilistic memory-one strategies to dominate the iterated prisoner’s dilemma over networks;Simulation Modelling Practice and Theory;2022-09

5. The “self-bad, partner-worse” strategy inhibits cooperation in networked populations;Information Sciences;2022-03

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