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Published on: November 10, 2010
Competing with oneself: introducing self-interaction in a model of competitive learning
1S. N. Bose National Centre for Basic Sciences, Block JD, Sector III, Salt Lake, 700098 Kolkata, India. gaurang@iucaa.ernet.in
This study extends a competitive learning model where individuals choose strategies based on majority and neighbor success. The enhanced model incorporates personal outcomes, leading to distinct phase diagrams and departures from the original interfacial model.
Area of Science:
- Complex Systems
- Statistical Physics
- Agent-Based Modeling
Background:
- Introduces a competitive learning model based on conformity and perceived neighbor success.
- Builds upon the interfacial model by Mehta and Luck (1999).
Purpose of the Study:
- To extend the interfacial model by incorporating individuals' own outcomes into strategy selection.
- To investigate the impact of this modification on the model's behavior and phase diagrams.
Main Methods:
- Proposed an extension to the interfacial model.
- Considered three distinct update rules for bulk sites.
- Analyzed phase diagrams at coexistence.
Main Results:
- The extended model exhibits systematic departures from the original interfacial model's phase diagrams.
- The inclusion of personal outcomes alters the dynamics of strategy adoption.
Conclusions:
- The modified competitive learning model offers a new perspective on outcome-based decision-making.
- Further exploration of relationships with cooperative models is suggested.
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