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2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1931-8
ASCII Text
x 
 
Henk Stolk, Kevin Gates, Jim Hanan, "Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems," Intelligent Agent Technology, IEEE / WIC / ACM International Conference on, pp. 75, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003.
 
 
BibTex
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@article{ 10.1109/IAT.2003.1241051,
author = {Henk Stolk and Kevin Gates and Jim Hanan},
title = {Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems},
journal ={Intelligent Agent Technology, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2003},
isbn = {0-7695-1931-8},
pages = {75},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAT.2003.1241051},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
TI - Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems
SN - 0-7695-1931-8
SP
EP
A1 - Henk Stolk,
A1 - Kevin Gates,
A1 - Jim Hanan,
PY - 2003
KW - null
VL - 0
JA - Intelligent Agent Technology, IEEE / WIC / ACM International Conference on
ER -
 
Henk Stolk, University of Queensland, Brisbane, Australia
Kevin Gates, University of Queensland, Brisbane, Australia
Jim Hanan, University of Queensland, Brisbane, Australia
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.
Citation:
Henk Stolk, Kevin Gates, Jim Hanan, "Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems," iat, pp.75, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003
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