Cargando…
Reinforcement learning account of network reciprocity
Evolutionary game theory predicts that cooperation in social dilemma games is promoted when agents are connected as a network. However, when networks are fixed over time, humans do not necessarily show enhanced mutual cooperation. Here we show that reinforcement learning (specifically, the so-called...
Autores principales: | Ezaki, Takahiro, Masuda, Naoki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722284/ https://www.ncbi.nlm.nih.gov/pubmed/29220413 http://dx.doi.org/10.1371/journal.pone.0189220 |
Ejemplares similares
-
Reinforcement Learning Explains Conditional Cooperation and Its Moody Cousin
por: Ezaki, Takahiro, et al.
Publicado: (2016) -
Reinforcement learning accounts for moody conditional cooperation behavior: experimental results
por: Horita, Yutaka, et al.
Publicado: (2017) -
Clustering in Large Networks Does Not Promote Upstream Reciprocity
por: Masuda, Naoki
Publicado: (2011) -
Clustering Coefficients for Correlation Networks
por: Masuda, Naoki, et al.
Publicado: (2018) -
Indirect Reciprocity under Incomplete Observation
por: Nakamura, Mitsuhiro, et al.
Publicado: (2011)