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22. M. ), Readings in Nonmonotonic Reasoning. Los Altos, California: Morgan Kaufmann Publishers, 1987. 23. G. R. Martinez, An integrated framework for learning and reasoning. Journal of Artificial Intelligence Research, 3: 147–185, 1995. 24. J. Glasgow and D. Papadias, Computational imagery. Cognitive Science, 16: 355–394, 1992. 25. F. Gobet, Roles of pattern recognition and search in expert problem solving. Thinking and Reasoning, 3: 291–313, 1997. 26. A. Groeger, Memory and Remembering. Hong Kong: Longman, 1997.

It is necessary to decompose a document into its component parts in order to process these individual components. Their structural analysis, in terms of spatical relationships and logical ordering, is necessary to invoke modules in appropriate order and to integrate the results of the appropriate modules. Text Recognition and Interpretation. It is necessary to recognize words of text, often using lexicons and higher level linguistic and statistical context. The necessity for contextual analysis arises from the fact that it is often impossible to recognize characters and words in isolation, particularly with handwriting and degraded print.

Artificial Intelligence 14. A. Ericsson andJ. ), Towards a General Theory of Expertise. New York: Cambridge University Press, 1991. 15. A. A. Simon, EPAM-like models of recognition and learning. Cognitive Science, 8: 305–336, 1984. 16. H. J. Pazzani, andP. ), Concept Formation: Knowledge and Experience in Unsupervised Learning. San Mateo, California: Morgan Kaufmann Publishers, 1991. 17. A. ), A Dictionary of Philosophy, 2nd ed. London, UK: Picador, 1984. 18. P. F¨oldiak, ´ Forming sparse representations by local antiHebbian learning.

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43.Pattern Analysis and Machine Intelligence by John G. Webster (Editor)


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