Results 161 to 170 of about 395,591 (212)

Martin Peterson (ed.), The Prisoner’s Dilemma

Œconomia, 2019
Shaun P. Hargreaves Heap
doaj  

A multi-agent reinforcement learning framework for exploring dominant strategies in iterated and evolutionary games. [PDF]

Nat Commun
Su Q, Wang H, Xia Y, Wang L.
europepmc   +1 more source

Loss avoidance during social interactions. [PDF]

Commun Psychol
Kuper-Smith BJ, Korn CW.
europepmc   +1 more source

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Advantages Of Using Memetic Algorithms In The N-Person Iterated Prisoner’s Dilemma Game

ECMS 2014 Proceedings edited by: Flaminio Squazzoni, Fabio Baronio, Claudia Archetti, Marco Castellani, 2014
Memetic algorithms are a type of genetic algorithms very valuable in optimization problems. They are based on the concept of “meme”, and use local search techniques, which allow them to avoid premature convergence to suboptimal solutions. Among these algorithms we can consider Lamarckian and Baldwinian models, depending on whether they modify (the ...
Tamara Alvarez, Miguel Loureiro, Jose Covelo, Ana Peleteiro, Aleksander Byrski, Juan C. Burguillo   +5 more
openaire   +1 more source

Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior

Pacific Rim International Conference on Artificial Intelligence, 2020
Prisoner's Dilemma mainly treat the choice to cooperate or defect as an atomic action. We propose to study online learning algorithm behavior in the Iterated Prisoner's Dilemma (IPD) game, where we explored the full spectrum of reinforcement learning ...
Baihan Lin, Djallel Bouneffouf, G. Cecchi   +2 more
semanticscholar   +1 more source

Interaction state Q-learning promotes cooperation in the spatial prisoner's dilemma game

Applied Mathematics and Computation
Many recent studies have used reinforcement learning methods to investigate the behavior of agents in evolutionary games. Q-learning, in particular, has become a mainstream method during this development.
Zhengzhi Yang, Lei Zheng, M. Perc, Yumeng Li   +3 more
semanticscholar   +1 more source

Investigating the co-evolution of node reputation and edge-strategy in prisoner's dilemma game

Applied Mathematics and Computation, 2020
In practice, there exists numerous examples indicating the phenomenon that individuals are inclined to employ different strategies when interacting with the others.
Peican Zhu, Xiaoyu Wang, Danyang Jia, Yangming Guo, Shudong Li, Chen Chu   +5 more
semanticscholar   +1 more source

Mixing prisoner's dilemma games on higher-order networks

Neurocomputing
The prisoner’s dilemma game is a paradigmatic example of a plight situation in which different individuals vie for maximal payoffs. And it has been shown that interaction networks that host such individuals have an immense impact on individual strategy ...
Juan Wang, Jindong Nie, Shiqiang Guo, Mahmut Özer, Chengyi Xia, M. Perc   +5 more
semanticscholar   +1 more source

Cooperative advertising: A way escaping from the prisoner’s dilemma in a supply chain with sticky price

Omega, 2019
This paper develops a differential game in a two-player supply chain with sticky price where a manufacturer provides a cooperative advertising program for a retailer. The manufacturer sets the wholesale price while the retailer decides the order quantity
F. Lu, Wansheng Tang, Guowei Liu, Jianxiong Zhang   +3 more
semanticscholar   +1 more source