Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chunjiang Mu"'
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
Theoretical studies have shown that cooperation can be promoted by the so-called “network reciprocity,” where cooperation can coexist with defection via the compact cooperative clusters. However, such studies often assume that players have no cha
Externí odkaz:
https://doaj.org/article/54c449aa3a9745a89fd80359470cc87c
Publikováno v:
New Journal of Physics, Vol 21, Iss 6, p 063024 (2019)
Coevolution is considered as an effective means to optimize the conditions for the survival of cooperation. In this work, we propose a coevolution rule between individuals’ node weights and aspiration, and then explore how this mechanism affects th
Externí odkaz:
https://doaj.org/article/bf82503632a148228a133137d5f5d9ef
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Understanding the learning dynamics in multiagent systems is an important and challenging task. Past research on multi-agent learning mostly focuses on two-agent settings. In this paper, we consider the scenario in which a population of infinitely ma
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
Theoretical have shown that cooperation can be promoted by the so-called "network reciprocity", where cooperation can coexist with defection via the compact cooperative clusters. However, this mechanism has one assumption interpreted as players have
Publikováno v:
New journal of physics 21 (2019). doi:10.1088/1367-2630/ab0999
info:cnr-pdr/source/autori:Chu C.; Mu C.; Liu J.; Liu C.; Boccaletti S.; Shi L.; Wang Z./titolo:Aspiration-based coevolution of node weights promotes cooperation in the spatial prisoner's dilemma game/doi:10.1088%2F1367-2630%2Fab0999/rivista:New journal of physics/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:21
info:cnr-pdr/source/autori:Chu C.; Mu C.; Liu J.; Liu C.; Boccaletti S.; Shi L.; Wang Z./titolo:Aspiration-based coevolution of node weights promotes cooperation in the spatial prisoner's dilemma game/doi:10.1088%2F1367-2630%2Fab0999/rivista:New journal of physics/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:21
Coevolution is considered as an effective means to optimize the conditions for the survival of cooperation. In this work, we propose a coevolution rule between individuals’ node weights and aspiration, and then explore how this mechanism affects th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fdea736242d7a7f149625f102fd6097
Publikováno v:
Applied Mathematics and Computation. 362:124493
The popularity of each individual in a realistic social system adaptively changes within a population. In this paper, we propose the coevolution of popularity and strategy and explore potential reasons that how this setup affects the evolution of coo