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1. Nolfi, S. Evolutionary robotics: The biology, intelligence, and technology of selforganizing machines (Intelligent Robotics and Autonomous Agents) / S. Nolfi, D. Floreano. Boston: MIT Press, 2004. 332 pp.

2. Wang, L., Tan. Evolutionary robotics: from algorithms to implementations / L. Wang, K.C. Tan, A.B. Chew. Singapore: World Scientific, 2006. 268 pp.

3. Jacobi, N. Minimal simulations for evolutionary robotics / N. Jacobi. Sussex, UK:

Ph.D. thesis, University of Sussex, 1998. 116 pp.

4. Pin, F.G. A fuzzy behaviorist approach to sensor-based reasoning and robot navigation. In: Control in Robotics and Automation: Sensor-Based Integration (B.K. Ghosh, N.~Xi and T.J. Tarn, Eds.) / F.G. Pin. London: Academic Press, 1999. . 381417.

5. Svinin, M.M. Emergent synthesis of motion patterns for locomotion robots // M.M. Svinin, K. Yamada, K. Ueda. Artificial Intelligence in Engineering. 2001. Vol. 15.

. 353-363.

6. Manko, D.J. A general model of legged locomotion on natural terrain / D.J. Manko. New York: Springer, 1992. 129 pp.

7. Cymbalyuk, G.S. Oscillatory network controlling six-legged locomotion: optimization of model parameters // G.S. Cymbalyuk, R.M. Borisyuk, U. Muller-Wilm, H. Cruse. Neural Networks. 1998. Vol. 11. . 1 4491 460.

8. Svinin, M.M. Reinforcement learning approach to acquisition of stable gaits for locomotion robots // M.M. Svinin, K. Yamada, K. Ueda - Proc. IEEE Int. Conf. On Systems, Man, and Cybernetics. Tokyo, 1999. Vol. 6. . 936941.

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