Imitation in Large Games

In games with a large number of players where players may have overlapping objectives, the analysis of stable outcomes typically depends on player types. A special case is when a large part of the player population consists of imitation types: that of players who imitate choice of other (optimizing)...

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Main Authors: Soumya Paul, R. Ramanujam
Format: Article
Language:English
Published: Open Publishing Association 2010-06-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1006.2992v1
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spelling doaj-b7dd589b4af742fd9dba2b08b11b6edf2020-11-24T22:25:52ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802010-06-0125Proc. GANDALF 201016217210.4204/EPTCS.25.16Imitation in Large GamesSoumya PaulR. RamanujamIn games with a large number of players where players may have overlapping objectives, the analysis of stable outcomes typically depends on player types. A special case is when a large part of the player population consists of imitation types: that of players who imitate choice of other (optimizing) types. Game theorists typically study the evolution of such games in dynamical systems with imitation rules. In the setting of games of infinite duration on finite graphs with preference orderings on outcomes for player types, we explore the possibility of imitation as a viable strategy. In our setup, the optimising players play bounded memory strategies and the imitators play according to specifications given by automata. We present algorithmic results on the eventual survival of types. http://arxiv.org/pdf/1006.2992v1
collection DOAJ
language English
format Article
sources DOAJ
author Soumya Paul
R. Ramanujam
spellingShingle Soumya Paul
R. Ramanujam
Imitation in Large Games
Electronic Proceedings in Theoretical Computer Science
author_facet Soumya Paul
R. Ramanujam
author_sort Soumya Paul
title Imitation in Large Games
title_short Imitation in Large Games
title_full Imitation in Large Games
title_fullStr Imitation in Large Games
title_full_unstemmed Imitation in Large Games
title_sort imitation in large games
publisher Open Publishing Association
series Electronic Proceedings in Theoretical Computer Science
issn 2075-2180
publishDate 2010-06-01
description In games with a large number of players where players may have overlapping objectives, the analysis of stable outcomes typically depends on player types. A special case is when a large part of the player population consists of imitation types: that of players who imitate choice of other (optimizing) types. Game theorists typically study the evolution of such games in dynamical systems with imitation rules. In the setting of games of infinite duration on finite graphs with preference orderings on outcomes for player types, we explore the possibility of imitation as a viable strategy. In our setup, the optimising players play bounded memory strategies and the imitators play according to specifications given by automata. We present algorithmic results on the eventual survival of types.
url http://arxiv.org/pdf/1006.2992v1
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