Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Enhanced Competitiveness of Multi-Agent System by Special Algorithm

Authors
Tin Yau Pang 0, Kwok Yip Szeto
Corresponding Author
Tin Yau Pang
0Department of Physics, HKUST
Available Online October 2006.
DOI
https://doi.org/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.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.329How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/jcis.2006.329
ID  - Pang2006/10
ER  -