Return to search

Local Interactions, Learning and Automata Networks in Games

This dissertation is an attempt of expanding the domain of game theory into the sphere of evolving, potentially non-equilibrium systems. We especially focus our attention on studying the effects of local interactions, using automata networks as a modelling tool.

The Chapters 2 and 3 of this dissertation concentrate on applications of the local nature of interactions and rely on automata networks as an investigating and modelling tool for game theory. Chapter 2 is devoted to cooperation and to a smaller extent to the endogenous formation of links between the agents. Chapter 3 is investigating the deterministic and stochastic best response play when interactions are local. / Ph. D.

Identiferoai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/29465
Date15 December 1998
CreatorsOutkin, Alexander V.
ContributorsEconomics (Arts and Sciences), Snyder, Susan K., Gilles, Robert P., Kats, Amoz, Haller, Hans H., Stegeman, Mark
PublisherVirginia Tech
Source SetsVirginia Tech Theses and Dissertation
LanguageEnglish
Detected LanguageEnglish
TypeDissertation
Formatapplication/pdf, application/pdf, application/pdf, application/pdf, application/pdf, image/tiff, image/tiff, image/tiff, image/tiff, image/tiff, image/tiff, image/tiff, image/tiff, image/tiff, image/tiff, application/pdf
RightsIn Copyright, http://rightsstatements.org/vocab/InC/1.0/
RelationVita.pdf, Figure9.tif, Figure8.tif, Figure7.tif, Figure10.tif, Figure11.tif, Contents.pdf, OUTKINCHAPTER2.PDF, Chapter3.pdf, Chapter1.pdf, Figure1.tif, Figure6.tif, Figure2.tif, Title.pdf, Figure5.tif, Figure3_4.tif

Page generated in 0.0017 seconds