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Iterated mutual observation with genetic programming
[journal article]
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