Abstract
Soft computing is a relatively new field within computer science. It is a conglomeration of fuzzy logic, neural networks, and probabilistic reasoning. Probabilistic reasoning is further divided into belief networks, genetic algorithms, and chaos theory. What all of these subfields share is an adherence to nonexact computation. Up until now, we have been using formal Boolean logic, which says that something is either true or false, yes or no, black or white. There are no shades of gray with this type of logic.
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Additional Reading
Cox, E.D. (1995). Fuzzy Logic for Business and Industry, Charles River Media Inc., Rockland, MA.
Kosko, B. (1993). Fuzzy Thinking: The New Science of Fuzzy Logic, Hyperion, New York, NY.
Von Altrock, C. (1995). Fuzzy Logic and NeuroFuzzy Applications Explained, Prentice Hall PTR, Englewood Cliffs, N.J.
Neural Networks
Kosko, B. (1992). Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence, Prentice Hall, Englewood Cliffs, NJ.
McClelland, J.L., Rumelhart, D.E., and the PDP Research Group (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 2: Psychological and Biological Models, MIT Press, Cambridge, MA.
Rumelhart, D.E., McClelland, J.L., and the PDP Research Group (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Volume 1: Foundations, MIT Press, Cambridge, MA.
Genetic Algorithms
Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, MA.
Koza, J.R. (1992). Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA.
Michalewicz, Z. (1996). Genetic Algorithms + Data Structures = Evolution Programs, Third revision and extended edition, Springer-Verlag, Berlin, Germany.
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© 1998 Springer Science+Business Media New York
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Grillmeyer, O. (1998). Soft Computing: Fuzzy Logic, Neural Networks, and Genetic Algorithms. In: Exploring Computer Science with Scheme. Undergraduate Texts in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2937-5_16
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DOI: https://doi.org/10.1007/978-1-4757-2937-5_16
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