Applied Functional Analysis Numerical Methods, Wavelet by Siddiqi

By Siddiqi

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For example, the flow from sensing to the world model is much greater than the flow to sensing from the world model. And, as we move from the sensing node through preprocessing and algorithms, and then through adaptation and self-organization to output generation, a greater proportion of the flow comes from the world model to the node. 5 is an expanded view of the world model, within which some of the categories of "information" are stored. Note that the world model is dynamic, constantly being revised and updated.

Some of it resides in the world model. At the heart of the adaptation and self-organization node are (in silicon-based systems) such computational intelligence tools as the hybrid neural network/genetic algorithm/fuzzy logic tools described in the definition of computational intelligence near the beginning of this chapter. These tools have access to, and use, embedded knowledge. There is, therefore, a difference between artificial intelligence and computational intelligence, albeit a somewhat "fuzzy" one.

In 1975, Holland published one of the field's most important books, entitled Adaptation in Natural and Artificial Systems. In the first five years after it was published, the book sold 100 to 200 copies per year and seemed to be fading into oblivion. Instead, between 1985 and 1990, the number of people working on genetic algorithms~and interest in Holland's book~increased sufficiently to persuade Holland to update and reissue it (Holland 1992). Also in 1975, K. A. D. " As part of his work, De ]ong put forward a set of five test functions designed to measure the performance of any genetic algorithm.

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