Iterated Mutual Observation with Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{oai:CiteSeerPSU:444392,
-
author = "Peter Dittrich and Thomas Kron and Christian Kuck and
Wolfgang Banzhaf",
-
title = "Iterated Mutual Observation with Genetic Programming",
-
journal = "Sozionik Aktuell",
-
year = "2001",
-
volume = "2",
-
month = jul,
-
keywords = "genetic algorithms, genetic programming",
-
citeseer-isreferencedby = "oai:CiteSeerPSU:91154;
oai:CiteSeerPSU:64418",
-
citeseer-references = "oai:CiteSeerPSU:468369; oai:CiteSeerPSU:354356;
oai:CiteSeerPSU:68864",
-
annote = "The Pennsylvania State University CiteSeer Archives",
-
language = "en",
-
oai = "oai:CiteSeerPSU:444392",
-
rights = "unrestricted",
-
URL = "http://www.informatik.uni-hamburg.de/TGI/forschung/projekte/sozionik/journal/2/gp.pdf",
-
URL = "http://citeseer.ist.psu.edu/444392.html",
-
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.",
-
notes = "http://www.sozionik-aktuell.de/",
- }
Genetic Programming entries for
Peter Dittrich
Thomas Kron
Christian Kuck
Wolfgang Banzhaf
Citations