Enhanced Competitiveness of Multi-Agent System by Special Algorithm
Tin Yau Pang 0, Kwok Yip Szeto
Tin Yau Pang
0Department of Physics, HKUST
Available Online October 2006.
- https://doi.org/10.2991/jcis.2006.329How to use a DOI?
- Multi-Agent Systems, Resource allocation, Strategy, Econophysics.
- 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.
- 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 -