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Published Articles >> Table of Contents >> Abstract
IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
p. 75
Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems
Henk Stolk, University of Queensland, Brisbane, Australia
Kevin Gates, University of Queensland, Brisbane, Australia
Jim Hanan, University of Queensland, Brisbane, Australia
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IAT.2003.1241051
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| Abstract |
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This paper defines an approach to simulation of
natural systems, inspired by complex systems theory. A
complex natural system is modeled as a multi-agent
simulation system, agents representing living organisms,
physical entities or environmental processes. Agents and
their interactions can be aggregated to higher-level
group agents. The properties and behavior of these group
agents are determined by, or emerge from, the properties
and behavior of the individual agents composing the
group. Group agents discover macro-level natural laws
implied by the properties and behavior of individual
agents modeling micro-level natural entities. Such a
system can be implemented in a distributed programming
environment, exploiting emergence, hierarchy, and
concurrency to perform large-scale simulations.
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 Additional Information
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Citation:
Henk Stolk, Kevin Gates, Jim Hanan,
"Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems,"
iat,
p. 75,
IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03),
2003
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