{"id":{"repo_id":"vt","oai_identifier":"oai:vtechworks.lib.vt.edu:10919/29465"},"canonical_url":"https://search.dev.ndltd.org/etd/vt/oai:vtechworks.lib.vt.edu:10919/29465","repository":{"repo_id":"vt","name":"Virginia Tech","base_url":"https://vtechworks.lib.vt.edu/oai/request"},"display":{"title":"Local Interactions, Learning and Automata Networks in Games","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Outkin, Alexander V."],"institution":"Virginia Tech","degree_name":"Ph. D.","degree_level":"doctoral","degree_discipline":"Economics","degree_department":"Economics (Arts and Sciences)","school":null,"contributors":[],"advisors":[],"committee_chairs":["Haller, Hans H.","Stegeman, Mark"],"committee_members":["Snyder, Susan K.","Gilles, Robert P.","Kats, Amoz"],"year":1998,"date_issued":"1998-09-13","date_published":"1998-09-13","updated_at":"2026-07-22T22:19:16Z","subjects":["automata networks","learning","evolution","cooperation"],"languages":["en"],"rights":["In Copyright"],"rights_urls":["http://rightsstatements.org/vocab/InC/1.0/"],"identifier_entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-110498-170256"],"render_values":[{"text":"etd-110498-170256","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10919/29465","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.committeechair","label":"Committee Chair","values":["Haller, Hans H.","Stegeman, Mark"]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Snyder, Susan K.","Gilles, Robert P.","Kats, Amoz"]},{"key":"dc:contributor.department","label":"Department","values":["Economics (Arts and Sciences)"]},{"key":"dc:creator","label":"Author","values":["Outkin, Alexander V."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-03-14T20:17:59Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-03-14T20:17:59Z","1999-12-15"]},{"key":"dc:date.issued","label":"Date","values":["1998-09-13"]},{"key":"dc:publisher","label":"Institution","values":["Virginia Tech"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Economics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["doctoral"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph. D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Virginia Polytechnic Institute and State University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["automata networks","learning","evolution","cooperation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["In Copyright"]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://rightsstatements.org/vocab/InC/1.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.other","label":"Dc Identifier Other","values":["etd-110498-170256"]},{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10919/29465"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["Ph. D."]},{"key":"dc:title","label":"Title","values":["Local Interactions, Learning and Automata Networks in Games"]}]}],"canonical_facts":{"dc:contributor.committeechair":["Haller, Hans H.","Stegeman, Mark"],"dc:contributor.committeemember":["Snyder, Susan K.","Gilles, Robert P.","Kats, Amoz"],"dc:contributor.department":["Economics (Arts and Sciences)"],"dc:creator":["Outkin, Alexander V."],"dc:date.accessioned":["2014-03-14T20:17:59Z"],"dc:date.available":["2014-03-14T20:17:59Z","1999-12-15"],"dc:date.issued":["1998-09-13"],"dc:description.abstract":["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."],"dc:description.degree":["Ph. D."],"dc:identifier.other":["etd-110498-170256"],"dc:identifier.uri":["http://hdl.handle.net/10919/29465"],"dc:language.iso":["en"],"dc:publisher":["Virginia Tech"],"dc:rights":["In Copyright"],"dc:rights.uri":["http://rightsstatements.org/vocab/InC/1.0/"],"dc:subject":["automata networks","learning","evolution","cooperation"],"dc:title":["Local Interactions, Learning and Automata Networks in Games"],"dc:type":["Dissertation"],"thesis:degree_discipline":["Economics"],"thesis:degree_level":["doctoral"],"thesis:degree_name":["Ph. D."],"thesis:institution_name":["Virginia Polytechnic Institute and State University"]},"updated_at":"2026-07-22T22:19:16Z"}