Mutual Support in Agent Networks
Abstract
We construct a model of social behaviour through the dynamics of interacting agents. The agents undergo game-theoretic interactions where each agent can decide to lend support to particular other agents or otherwise, and agents are rewarded according to total support received. We analyse and carry out Monte Carlo simulations of such systems to uncover their evolutionary dynamics, and to explore their phase structure.
- Publication:
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arXiv e-prints
- Pub Date:
- August 2005
- DOI:
- arXiv:
- arXiv:physics/0508205
- Bibcode:
- 2005physics...8205A
- Keywords:
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- Physics - Physics and Society;
- Condensed Matter - Disordered Systems and Neural Networks
- E-Print:
- 7 pages. Invited presentation at the International Meeting on the Frontiers of Physics 2005, Kuala Lumpur, 25-29 July 2005 (Proceedings to appear in special issue of J. Fiz. Mal.)