Biology helps you to win a game
arXiv:cond-mat/0303221 · doi:10.1238/Physica.Topical.106a00032
Abstract
We present a game of interacting agents which mimics the complex dynamics found in many natural and social systems. These agents modify their strategies periodically, depending on their performances using genetic crossover mechanisms, inspired by biology. We study the performances of the agents under different conditions, and how they adapt themselves. In addition the dynamics of the game is investigated.
arXiv comment4 pages including 6 figures. Uses REVTeX4. Submitted for Conference Proceedings of the "Unconventional Applications of Statistical Physics", Kolkata
References in corpus (6)
- Emergence of Cooperation and Organization in an Evolutionary Game
- Statistical mechanics of systems with heterogeneous agents: Minority Games
- A thermal model for adaptive competition in a market
- Predictability of large future changes in a competitive evolving population
- Evolution in Minority Games II. Games with Variable Strategy Spaces
- Evolution in Minority Games I. Games with a Fixed Strategy Space
Cited by in corpus (4)
- Searching good strategies in adaptive minority games
- Statistical Mechanics of Competitive Resource Allocation using Agent-based Models
- The Saga of KPR: Theoretical and Experimental developments
- Limited resources and evolutionary learning may help to understand the mistimed reproduction in birds caused by climate change