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"Go to the ant": Engineering principles from natural multi-agent systems

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  • H. Van Dyke Parunak

Abstract

Agent architectures need to organize themselves and adapt dynamically to changing circumstances without top-down control from a system operator. Some researchers provide this capability with complex agents that emulate human intelligence and reason explicitly about their coordination, reintroducing many of the problems of complex system design and implementation that motivated increasing software localization in the first place. Naturally occurring systems of simple agents (such as populations of insects or other animals) suggest that this retreat is not necessary. This paper summarizes several studies of such systems, and derives from them a set of general principles that artificial multi-agent systems can use to support overall system behavior significantly more complex than the behavior of the individuals agents. Copyright Kluwer Academic Publishers 1997

Suggested Citation

  • H. Van Dyke Parunak, 1997. ""Go to the ant": Engineering principles from natural multi-agent systems," Annals of Operations Research, Springer, vol. 75(0), pages 69-101, January.
    • Handle: RePEc:spr:annopr:v:75:y:1997:i:0:p:69-101:10.1023/a:1018980001403
    DOI: 10.1023/A:1018980001403
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    Cited by:

    1. Daniel Charbonneau & Anna Dornhaus, 2015. "When doing nothing is something. How task allocation strategies compromise between flexibility, efficiency, and inactive agents," Journal of Bioeconomics, Springer, vol. 17(3), pages 217-242, October.
    2. Sarah Schiffling & Claire Hannibal & Matthew Tickle & Yiyi Fan, 2022. "The implications of complexity for humanitarian logistics: a complex adaptive systems perspective," Annals of Operations Research, Springer, vol. 319(1), pages 1379-1410, December.

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