Abstract
Artificial intelligence (usually abbreviated to AI) is an area of research which has attracted much interest and controversy during its relatively short existence. Its origins are often traced to 1950, when Alan Turing published ‘Computing machinery and intelligence’.1 In the article, Turing raised the question ‘can machines think?’ Since that time, there has been considerable debate on the philosophical issues which such a question poses.2 This is not, however, the main focus of this chapter. Rather, I hope to illustrate some of the techniques and algorithms which have been developed by workers in AI that may prove useful in some of the problems encountered in molecular modelling.
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References
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See, for example, (a) Penrose, R. (1989) The Emperor’s New Mind, Oxford University Press, Oxford;
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There are a great number of introductory and advanced volumes which describe the techniques and applications of AI. This is a very limited selection of the texts in this field: (a) Barr, A. and Feigenbaum, E. A. (Eds)(1981) The Handbook of Artificial Intelligence (3 vols), William Kaufmann, Los Altos, Cal.;
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© 1994 J. G. Vinter and M. Gardner
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Leach, A.R. (1994). Applications of Artificial Intelligence in Molecular Modelling and Drug Design. In: Vinter, J.G., Gardner, M. (eds) Molecular Modelling and Drug Design. Topics in Molecular and Structural Biology. Palgrave, London. https://doi.org/10.1007/978-1-349-12973-7_6
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