Vidal's libraryTitle: | “Go to the Ant”: Engineering Principles from Natural Agent Systems |
Author: | H. Van Dyke Parunak |
Journal: | Annals of Operation Research |
Volume: | 75 |
Pages: | 69--101 |
Year: | 1997 |
Abstract: | Agent architectures need to organize themselves and adapt dynamically to changing circumstances without top-down control from a system operator. Many 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 andimplementation 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 agent-based systems can use to support overall system behavior significantly more complex than the behavior of the individuals agents. |
Cited by 328 - Google Scholar
@Article{ parunak97b,
author = {H. Van Dyke Parunak},
title = {``Go to the Ant'': Engineering Principles from
Natural Agent Systems },
googleid = {zQMgWCI6gHEJ:scholar.google.com/},
journal = {Annals of Operation Research},
year = 1997,
volume = 75,
pages = {69--101},
abstract = {Agent architectures need to organize themselves and
adapt dynamically to changing circumstances without
top-down control from a system operator. Many
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
andimplementation 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 agent-based
systems can use to support overall system behavior
significantly more complex than the behavior of the
individuals agents.},
keywords = {multiagent biology},
url = {http://jmvidal.cse.sc.edu/library/parunak97b.pdf},
cluster = {1937313538112164040}
}
Last modified: Wed Mar 9 10:14:07 EST 2011