Evolution of Simple Intelligence Distribution in Artificial Organisms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{dhingra:2002:ESIDAO,
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author = "Philip Dhingra",
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title = "Evolution of Simple Intelligence Distribution in
Artificial Organisms",
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booktitle = "Genetic Algorithms and Genetic Programming at Stanford
2002",
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year = "2002",
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editor = "John R. Koza",
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pages = "83--92",
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address = "Stanford, California, 94305-3079 USA",
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month = jun,
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publisher = "Stanford Bookstore",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.genetic-programming.org/sp2002/Dhingra.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.1093",
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language = "en",
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oai = "oai:CiteSeerXPSU:10.1.1.141.1093",
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abstract = "This paper uses Genetic Programming to evolve groups
of ants to push a box from the center of a room to a
wall. Group sizes and ant capabilities are varied to
observe the speed, effectiveness, and nature of the
intelligence that evolves for each ant. As expected,
larger groups compensate for lesser intelligent ants by
having more of them to solve the task. The
ant-boxpushing problem then becomes a coverage problem
whereby solutions are found by adequately covering the
space in which the task is to be completed.",
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notes = "part of \cite{koza:2002:gagp} GP to evolve group of
ants to push a box from the centre of a room to a wall.
Trade off between intelligence of individual ants and
number of ants in the group. LISP",
- }
Genetic Programming entries for
Philip Dhingra
Citations