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Published on: December 16, 2010
Effects of diversity on multiagent systems: minority games
K Y Michael Wong1, S W Lim, Zhuo Gao
1Department of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
Agent diversity in large population games reduces maladaptive behavior and modifies scaling dynamics. Increased diversity impacts convergence time and wealth variance, showing clear dynamical origins.
Area of Science:
- Complex Systems
- Game Theory
- Agent-Based Modeling
Background:
- Large population games model interactions in diverse systems like markets and ecosystems.
- Agents with adaptable preferences can exhibit maladaptive behavior.
- Initial diversity in agent preferences is crucial for understanding system dynamics.
Purpose of the Study:
- To investigate the impact of initial preference diversity on agent behavior in large population games.
- To analyze how diversity influences system parameters such as convergence time and wealth distribution.
- To explore the dynamical origins of observed scaling relations with diversity.
Main Methods:
- Simulating large population games with agents employing adaptable strategies.
- Introducing diversity by randomly assigning initial biases to agent preferences.
- Analyzing scaling relations for parameters like convergence time, agent fickleness, and wealth variance.
Main Results:
- Agent diversity was found to significantly reduce maladaptive behaviors.
- Interesting scaling relations were identified between diversity and key parameters.
- Increased diversity modifies scaling dynamics through kinetic sampling and waiting effects.
Conclusions:
- Diversity is a critical factor in mitigating maladaptive behavior in large population games.
- The study reveals the dynamical origins of scaling phenomena related to diversity.
- Findings offer insights into optimizing strategies in complex adaptive systems.
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