An integrated on-line learning system for evolving programmable logic array controllers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1917, Issue , 2000, Pages 589-598

  Liu, Yong ^a   Iwata, Masaya ^b   Higuchi, Tetsuya ^b   Keymeulen, Didier ^b  

^a UNIVERSITY OF AIZU   (Japan)

^b ELECTROTECHNICAL LABORATORY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; CONTROLLERS; GENETIC ALGORITHMS; MACHINE LEARNING; PROGRAMMABLE LOGIC CONTROLLERS; REINFORCEMENT LEARNING;

COMPLEX ENVIRONMENTS; CONTROL RULES; EVOLUTIONARY LEARNING; LEARNING MODULES; METHOD OF LEARNING; ON-LINE LEARNING SYSTEMS; PROGRAMMABLE LOGIC ARRAY; TEMPORAL DIFFERENCE LEARNING;

E-LEARNING;

EID: 84947934577     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45356-3_58     Document Type: Conference Paper

References (13)

1. Dorigo, M.: Introduction to the special issue on learning autonomous robots. IEEE Trans. Systems, Man, and Cybernetics — Part B: Cybernetics, 26 (1996) 361-364.
2. Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley, Reading, MA, 1989.
3. Fogel, D.B.: Evolutionary Computation: Towards a New Philosophy of Machine Intelligence. IEEE Press, New York, 1995.
4. Schwefel, H.-P.: Evolution and Optimum Seeking. New York: John Wiely & Sons, 1995.
5. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. A Bradford Book, The MIT Press, 1998.
6. Keymeulen, D., Iwata, M., Kuniyoshi, Y., Higuchi, T.: Online evolution for a self-adapting robotic navigation system using evolvable hardware. Artificial Life, 4 (1999) 359-393.
7. Asada, M., Kitano, H., Nöda, I., Veloso, M.: RoboCup: today and tomorrow — what we have learned. Artificial Intelligence, 110 (1999) 132-214.
8. Lund, H.H., Hallam, J.: Evolving sufficient robot controllers. In: Proceedings of the IEEE Fourth International Conference on Evolutionary Computation, IEEE Press, Piscataway, NJ, (1997) 495-499.
9. Higuchi, T., Kajihara, N.: Evolvable hardware chips for industrial applications. Communications of the ACM, 42 (1999) 60-66.
10. Bellman, R.E.: A markov decision process. Journal of Mathematical Mechanics, 6 (1957) 679-684.
11. Watkins, C, Dayan, P.: Q-learning. Machine Learning, 8 (1992) 279-292.
12. Kajitani, I., Hoshino, T., Kajihara, N., Iwata, M., Higuchi, T.: An evolvable hardware chip and its application as a multi-function prosthetic hand controller. In: Proceedings of the 16th National Conference on Artificial Intelligence (AAAI-99), (1999) 182-187.
13. Floreano, D., Mondada, F.: Evolution of homing navigation in a real mobile robot. IEEE Trans. Systems, Man, and Cybernetics — Part B: Cybernetics, 26 (1996) 396-407.