References Abeles M. (1991). Corticonics. Cambridge:Cambridge University Press. Ackley D.H. and Littman M. L. (1990). Generalization and scaling in reinforcement learn- ing. In D. S. Touretzky (Ed.), Advances in Neural Information Processing Systems 2. San Mateo, CA: Morgan Kaufmann. Ackley D.H. and Littman M.L. (1991). Interaction between learning and evolution. In C.G. Langton et. al (Eds.), Proceedings of the Second Conference on Artificial Life. Reading, MA: Addison-Wesley. Angeline P.J. and Pollack J.B. (1993). Competitive environments evolve better solutions for complex tasks. In S. Forrest (Ed.), Proceedings of the Fifth International Conference on Genetic Algorithms. San Mateo, CA: Morgan Kaufmann. Arakawa T. and Fukuda T. (1997). Natural motion generation of biped locomotion robot us- ing hierarchical trajectory generation method consisting of GA, EP layers. In Proceed- ings of the IEEE Conference on Robotics and Automation. New York: IEEE Press. Arbib M.A. (1989). The Methaphorical Brain 2. New York: Wiley. Arkin R.C. (1989). Motor schema-based mobile robot navigation. International Journal of Robotics Research, 8:92?112. Arkin R.C. (1990). The impact of cybernetics on the design of a mobile robot system: A case study. IEEE Transaction on Systems, Man, and Cybernetics, 20:1245?1257. Arkin R.C. (1998). Behavior-Based Robotics. Cambridge, MA: MIT Press. Ashby W.R. (1956). An Introduction to Cybernetics. London: Chapman and Hall. Bajcsy R. (1988). Active perception. Proceedings of the IEEE, (76)8:996?1005. Baldwin J.M. (1896). A new factor in evolution. American Naturalist, 30:441?451. Barnett L. (1998). Ruggedness and neutrality: The NKp family of fitness landscapes. In C. Adami, R. Belew, H. Kitano and C. Taylor (Eds.), Artificial Life IV: Proceedings of the Sixth International Conference on Artificial Life. Cambridge, MA: MIT Press. Barto A.G., Sutton R.S. and Anderson C.W. (1983). Neuronlike elements that can solve difficult learning control problems. IEEE Transactions on Systems, Man, and Cyber- netics, 13(5):835?846. Barto A.G., Sutton R.S. and Watkins C.J. (1990). Learning and sequential decision making. In M. Gabriel and J.W. Moore (Eds.), Learning and Computational Neuroscience. Cambridge, MA: MIT Press/Bradford Books. Barto A.G., Bradtke S.J. and Singh S.P. (1995). Learning to act using real-time dynamic programming. Artificial Intelligence, 6:105?122. Baxter J. (1994). The evolution of learning algorithms for artificial neural networks. Tech- nical Report, School of Information Science and Technology, The Flinders University of South Australia. Beer R.D. (1990). Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology. New York: Academic Press.