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Tata research development and design centre

240 FRONTIERS OF EVOLUTIONARY COMPUTATION

Lewontin, R. C. (1976). Sociobiology - a caricature of darwinism. Proceedings of the Biennial Meeting of the Philosophy of Science Association, 2:22–31. Louis, S. (2002). Genetic learning for combinational logic design. In et. al., W. B. L., editor, Proceedings of the Genetic and Evolutionary Computation Conference, (GECCO’2002) Workshop on Approximation and Learning in Evolutionary Computing, pages 21–26, San Francisco, CA. Morgan Kauf­ mann.

Nguyen, T., Czerwinski, M., and Lee, D. (1993). Compaq Quicksource - pro­ viding the consumer with the power of AI. AI Magazine, 14(3):50–60.

Perez, E. I., Coello, Coello, C. A., and Aguirre, A. H. (2001). Extracting and reusing design patterns from genetic algorithms using case-based reasoning.

Reynolds, R. I. (1982). Search heuristics of chess players of different calibers. American journal of psychology, 95:383–392.

Rich, C. and Waters, R. C. (1990). The Programmer’s Apprentice. ACM Press. Schank, R. (1972). Conceptual dependency: A theory of natural language un­ derstanding. Cognitive Psychology, 3:552–631.

Shin, K. and Han, I. (1999). Case-based reasoning supported by genetic algo­rithms for corporate bond rating. Expert Systems With Applications, 16(2): 85–95.

Smith, E., Nisbett, R., and Langston, C. (1992). The case for rules in reasoning. Cognitive Science, 16(1): 1–43.

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