Discovery of emergent natural laws by hierarchical multi-agent systems

Author

Stolk, Henk ; Gates, Kevin ; Hanan, Jim

Author_Institution

Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, Qld., Australia

fYear

2003

fDate

13-16 Oct. 2003

Firstpage

75

Lastpage

82

Abstract

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.

Keywords

distributed programming; multi-agent systems; simulation; complex natural system; complex system theory; distributed programming environment; emergent natural law; environmental process; group agents; hierarchical multi-agent system; large-scale simulation; macro-level natural laws; micro-level natural entities; multiagent simulation; natural system simulation; Australia; Computational modeling; Concrete; Concurrent computing; Equations; Information technology; Insects; Multiagent systems; Organisms; Programming environments;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Agent Technology, 2003. IAT 2003. IEEE/WIC International Conference on

Print_ISBN

0-7695-1931-8

Type

conf

DOI

10.1109/IAT.2003.1241051

Filename

1241051