an evolutionary game theoretic approach to multi-sector coordination and self-organization

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ID: 167360
2016
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Abstract
Coordination games provide ubiquitous interaction paradigms to frame human behavioral features, such as information transmission, conventions and languages as well as socio-economic processes and institutions. By using a dynamical approach, such as Evolutionary Game Theory (EGT), one is able to follow, in detail, the self-organization process by which a population of individuals coordinates into a given behavior. Real socio-economic scenarios, however, often involve the interaction between multiple co-evolving sectors, with specific options of their own, that call for generalized and more sophisticated mathematical frameworks. In this paper, we explore a general EGT approach to deal with coordination dynamics in which individuals from multiple sectors interact. Starting from a two-sector, consumer/producer scenario, we investigate the effects of including a third co-evolving sector that we call public. We explore the changes in the self-organization process of all sectors, given the feedback that this new sector imparts on the other two.
Reference Key
santos2016entropyan Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Fernando P. Santos;Sara Encarnação;Francisco C. Santos;Juval Portugali;Jorge M. Pacheco
Journal European journal of medicinal chemistry
Year 2016
DOI
10.3390/e18040152
URL
http://www.mdpi.com/1099-4300/18/4/152
Keywords
evolutionary game theory

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