Logit Dynamics with Concurrent Updates for Local Interaction Games View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017

AUTHORS

Vincenzo Auletta , Diodato Ferraioli , Francesco Pasquale , Paolo Penna , Giuseppe Persiano

ABSTRACT

Game Theory is the main tool used to model the behavior of agents that are guided by their own objective in contexts where their gains depend also on the choices made by neighboring agents. Game theoretic approaches have been often proposed for modeling phenomena in a complex social network, such as the formation of the social network itself. We are interested in the dynamics that govern such phenomena. In this paper, we study a specific class of randomized update rules called the logit choice function which can be coupled with different selection rules so to give different dynamics. We study how the logit choice function behave in an extreme case of concurrency. More... »

PAGES

17-22

References to SciGraph publications

  • 2010. Game-Theoretic Models of Information Overload in Social Networks in ALGORITHMS AND MODELS FOR THE WEB-GRAPH
  • 2009. On the Inefficiency Ratio of Stable Equilibria in Congestion Games in INTERNET AND NETWORK ECONOMICS
  • 2012. Decentralized Dynamics for Finite Opinion Games in ALGORITHMIC GAME THEORY
  • Book

    TITLE

    Extended Abstracts Summer 2015

    ISBN

    978-3-319-51752-0
    978-3-319-51753-7

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-51753-7_3

    DOI

    http://dx.doi.org/10.1007/978-3-319-51753-7_3

    DIMENSIONS

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