Article

A resource-allocation mechanism for multiagent networks

Authors:

Vishakh,

Nicholas Urrea,

Tadashi Nakano,

Tatsuya SudaAuthors Info & Claims

GECCO '05: Proceedings of the 7th annual workshop on Genetic and evolutionary computation

Pages 411 - 414

https://doi.org/10.1145/1102256.1102350

Published: 25 June 2005 Publication History

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Abstract

The nature of computer networks and the manner in which network services are provided are changing dramatically. Network architectures that employ virtual mobile agents to provide services are under development. We describe Price Propagation, which is based on pricing in market economies. It is a decentralized adaptive mechanism for regulating agent behavior, with the goal of allocating computational resources optimally.

References

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Lerman, K., and Galstyan, A. Agent memory and adaptation in multi-agent systems. In Proceedings of the second internaional joint conference on AAMS 03' (July 14--18, Melbourne, Australia) ACM Press 2003, pp. 797--803.

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Miller, M. B. and Bassler, B. L. Quorum Sensing in Bacteria. In Annual Review of Microbiology. Vol. 55 (2001), 165--199.

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A resource-allocation mechanism for multiagent networks
1. Networks
  1. Network architectures

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GECCO '05: Proceedings of the 7th annual workshop on Genetic and evolutionary computation

June 2005

431 pages

ISBN:9781450378000

DOI:10.1145/1102256

Conference Chair:
Franz Rothlauf
University of Mannheim, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2005

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SIGEVO

GECCO05: Genetic and Evolutionary Computation Conference

June 25 - 26, 2005

D.C., Washington

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Distributed multiagent resource allocation in diminishing marginal return domains

Resource discovery and allocation in wireless grids by using a multiagent system

Locality-sensitive task allocation and load balancing in networked multiagent systems: Talent versus centrality

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