Bibliography

[Nag02] Distributed intelligence in large scale traffic simulations on parallel computers

Nagel.cc02 (Miscellaneous document)
Author(s)	Nagel K.
Title	« Distributed intelligence in large scale traffic simulations on parallel computers »
How published	presented at: Collective Cognition: Mathematical Foundations of Distributed Intelligence
Year	2002

Nagel.cc02 (Miscellaneous document)

Author(s)

Nagel K.

Title

« Distributed intelligence in large scale traffic simulations on parallel computers »

How published

presented at: Collective Cognition: Mathematical Foundations of Distributed Intelligence

Year

2002

Abstract
Transportation systems can be seen as displaying meta-intelligence, in the sense that intelligent actors (travelers) conspire to make the system function as a whole. In simulations one can model this by resolving each traveler individually, and giving each traveler rules according to which she/he generates goals and then attempts to achieve them. The system as a whole has no goal of its own except to ``function'', i.e. to be a metropolitan region where people's lives are good enough so they do not move away. This paper approaches this question from an extremely pragmatic point -- how can a large scale simulation of such a system be implemented on a parallel computer? In particular, we concentrate on Beowulf clusters, which are clusters of regular PCs connected by regular relatively slow local area network. Our working hypothesis is that the imbalance of the computational system --fast CPUs, slow communication-- resembles the real system, and that a good simulation of the real system will take advantage of these parallels. The paper focuses both on what is actually implemented and working, and on future plans.

Abstract

Transportation systems can be seen as displaying meta-intelligence, in the sense that intelligent actors (travelers) conspire to make the system function as a whole. In simulations one can model this by resolving each traveler individually, and giving each traveler rules according to which she/he generates goals and then attempts to achieve them. The system as a whole has no goal of its own except to ``function'', i.e. to be a metropolitan region where people's lives are good enough so they do not move away. This paper approaches this question from an extremely pragmatic point -- how can a large scale simulation of such a system be implemented on a parallel computer? In particular, we concentrate on Beowulf clusters, which are clusters of regular PCs connected by regular relatively slow local area network. Our working hypothesis is that the imbalance of the computational system --fast CPUs, slow communication-- resembles the real system, and that a good simulation of the real system will take advantage of these parallels. The paper focuses both on what is actually implemented and working, and on future plans.

BibTeX code

@misc{Nagel.cc02,
  domains = {Multi-Agent Systems/Agent Architecture/Cognitive
             Architecture:Transportation and Logistical Systems:},
  howpublished = {presented at: Collective Cognition: Mathematical Foundations
                  of Distributed Intelligence},
  month = jan,
  title = {Distributed intelligence in large scale traffic simulations on
           parallel computers},
  author = {Nagel, Kai},
  year = 2002,
}

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