Enhanced Competitiveness of Multi-Agent System by Special Algorithm

DOI

10.2991/jcis.2006.329How to use a DOI?

Keywords

Multi-Agent Systems, Resource allocation, Strategy, Econophysics.

Abstract

Resource allocation in the econophysics of competing supermarket chains, modelled as a Multi-Agent System is addressed in the context of finding good method to increase the competitiveness of the company in networked economy. A special swapping algorithm which increased the local clustering effects of one Multi-Agent System is introduced and numerical work using Monte Carlo simulation demonstrate its effectiveness in enhancing the speed of market dominance as well as increasing the probability of dominance. Application of this model can be found in the problem of resource allocation of two supermarket chains competing for dominance in a hexagonal lattice, using the statistical mechanics of Ising spin.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tin Yau Pang
AU  - Kwok Yip Szeto
PY  - 2006/10
DA  - 2006/10
TI  - Enhanced Competitiveness of Multi-Agent System by Special Algorithm
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.329
DO  - 10.2991/jcis.2006.329
ID  - Pang2006/10
ER  -