Iterated mutual observation with genetic programming

Journal article | Zeitschriftenartikel

"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)

Object Details

• Extent: Seite(n): 10
• Language: Englisch
• Notes: Status: Veröffentlichungsversion

References and Relationships

• Bibliographic citation: Sozionik aktuell(2)

Classification and Topics

• Subject: Soziologie, Anthropologie ; Allgemeine Soziologie, Makrosoziologie, spezielle Theorien und Schulen, Entwicklung und Geschichte der Soziologie ; Handlung ; soziales Dilemma ; Akteur ; Simulation ; Technologie ; Versuch ; Verhalten ; Verhaltensprognose ; Experiment ; Modell ; Verhaltensmodell ; Beobachtung ; Modellversuch ; Interaktion ; Grundlagenforschung

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Dittrich, Peter ; Kron, Thomas ; Kuck, Christian ; Banzhaf, Wolfgang
• Event: Veröffentlichung
• (where): Deutschland
• (when): 2001

Further information

• URN: urn:nbn:de:0168-ssoar-197300
• Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
• Last update: 21.06.2024, 4:27 PM CEST