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Iterated mutual observation with genetic programming

[journal article]

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

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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-197300

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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. 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)
Keywords action; interaction; behavior prognosis; social actor; behavior model; simulation; social dilemma; technology; experiment; model; pilot project; attempt; behavior; observation
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 provider This metadata entry was indexed by the Special Subject Collection Social Sciences, USB Cologne