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Iterated mutual observation with genetic programming

[journal article]

Dittrich, Peter
Kron, Thomas
Kuck, Christian
Banzhaf, Wolfgang

Abstract

"This paper introduces a simple model of interacting agents that learn to predict each other. For learning to predict the other's intended action we apply genetic programming. The strategy of an agent is rational and fixed. It does not change like in classical iterated prisoners dilemma models. Furt... view more

"This paper introduces a simple model of interacting agents that learn to predict each other. For learning to predict the other's intended action we apply genetic programming. The strategy of an agent is rational and fixed. It does not change like in classical iterated prisoners dilemma models. Furthermore the number of actions an agent can choose from is infinite. Preliminary simulation results are presented. They show that by varying the population size of genetic programming, different learning characteristics can easily be achieved, which lead to quite different communication patterns." (author's abstract)... view less

Keywords
attempt; interaction; behavior model; behavior prognosis; social actor; action; experiment; social dilemma; simulation; observation; behavior; pilot project; model; technology

Classification
General Sociology, Basic Research, General Concepts and History of Sociology, Sociological Theories

Method
basic research

Document language
English

Publication Year
2001

Page/Pages
10 p.

Journal
Sozionik aktuell (2001) 2

Licence
Deposit Licence - No Redistribution, No Modifications

Data providerThis metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.