“Go to the Ant”: Engineering Principles from Natural Agent Systems


H. Van Dyke Parunak

Annals of Operation Research 75(0), pp. 69-101, gennaio 1997
Robert W. Blanning, Michael J. Shaw (a cura di)
Special Issue on Artificial Intelligence and Management Science

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.

 @article{ants-aor75,
Author = {Parunak, H. Van Dyke},
Doi = {10.1023/A:1018980001403},
Editor = {Blanning, Robert W. and Shaw, Michael J.},
Issn = {0254-5330},
Journal = {Annals of Operation Research},
Month = jan,
Note = {Special Issue on Artificial Intelligence and Management Science},
Number = 0,
Pages = {69--101},
Title = {``{G}o to the Ant'': Engineering Principles from Natural Agent Systems},
Url = {http://www.springerlink.com/content/n1026507g6218877/},
Volume = 75,
Year = 1997

Tags:

Pubblicazione

— autori/autrici

H. Van Dyke Parunak

— a cura di

Robert W. Blanning, Michael J. Shaw

— stato

pubblicato

— tipo

articolo su rivista

Sede di pubblicazione

— rivista

Annals of Operation Research

— volume

75

— numero

0

— pagine

69-101

— data di pubblicazione

gennaio 1997

URL

pagina originale

Identificatori

— DOI

10.1023/A:1018980001403

— print ISSN

0254-5330

BibTeX

— BibTeX ID
ants-aor75
— BibTeX category
article

Partita IVA: 01131710376 - Copyright © 2008-2022 APICe@DISI Research Group - PRIVACY