Evolution of Simple Intelligence Distribution in Artificial Organisms

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InCollection{dhingra:2002:ESIDAO,

• author = "Philip Dhingra",
• title = "Evolution of Simple Intelligence Distribution in Artificial Organisms",
• booktitle = "Genetic Algorithms and Genetic Programming at Stanford 2002",
• year = "2002",
• editor = "John R. Koza",
• pages = "83--92",
• address = "Stanford, California, 94305-3079 USA",
• month = jun,
• publisher = "Stanford Bookstore",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.genetic-programming.org/sp2002/Dhingra.pdf",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.1093",
• language = "en",
• oai = "oai:CiteSeerXPSU:10.1.1.141.1093",
• 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.",
• 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