| Autor: |
Carbonell, Jaime G., Siekmann, Jörg, Almeida e Costa, Fernando, Rocha, Luis Mateus, Costa, Ernesto, Harvey, Inman, Coutinho, António, Nitschke, Geoff S. |
| Zdroj: |
Advances in Artificial Life (9783540749127); 2007, p1120-1130, 11p |
| Abstrakt: |
This research applies the Collective Specialization Neuro-Evolution (CONE) method to the problem of evolving neural controllers in a simulated multi-robot system. The multi-robot system consists of multiple pursuer (predator) robots, and a single evader (prey) robot. The CONE method is designed to facilitate behavioral specialization in order to increase task performance in collective behavior solutions. Pursuit-Evasion is a task that benefits from behavioral specialization. The performance of prey-capture strategies derived by the CONE method, are compared to those derived by the Enforced Sub-Populations (ESP) method. Results indicate that the CONE method effectively facilitates behavioral specialization in the team of pursuer robots. This specialization aids in the derivation of robust prey-capture strategies. Comparatively, ESP was found to be not as appropriate for facilitating behavioral specialization and effective prey-capture behaviors. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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