Bibliography

The following works may be helpful or entertaining. They are selected with the intention of being accessible rather than comprehensive. Duda and Hart's book is one of the original and still one of the best books, although showing some signs of its age.

1.

Richard Duda & Peter Hart Pattern classification and scene analysis New York: Wiley 1973.

2.

Mike James Pattern Recognition, BSP Professional Books, Oxford. 1987

3.

Frank Rosenblatt, Principles of neurodynamics : perceptrons and the theory of brain mechanisms. Washington : Spartan Books, 1962.

4.

Nils J. Nilsson Learning machines : Foundations of trainable pattern-classifying systems New York : McGraw-Hill, 1965

5.

F.N. Stein Brain Machines ANALOG, May 1975.

6.

Don Hush & Bill Horne Progress in Supervised Neural Networks IEEE Signal Processing Magazine Vol 10 No.1 Jan 1993 pp 8-39.

7.

R.P.Lippmann An Introduction to Computing with Neural Nets IEEE Acoustics,Speech and Signal Processing Magazine, 4(2):4-22, April 1987.

8.

Jane Austen Mansfield Park London: The Zodiac Press, 1957

For alternative views on Fuzzy Sets, see

1.

Walter J.M. Kickert Fuzzy theories on decision-making : a critical review Leiden : M. Nijhoff Social Sciences Division, 1978 (Frontiers in systems research ; v.3)

2.

James C. Bezdek, Pattern recognition with fuzzy objective function algorithms New York : Plenum Press, 1981. (Advanced applications in pattern recognition)

3.

Bart Kosko Neural networks and fuzzy systems : a dynamical systems approach to machine intelligence Englewood Cliffs, N.J.: Prentice-Hall, 1991, c1992

The book by Bezdek is unlikely to diappoint, and may be recommended to those who do not accept the views of the present writer or at least wish to scrutinise them critically. Note that the last book cited contains in its title almost every power word that has been trendy in the last decade. It needed only genetic algorithms, chaos and feminist thought to be guaranteed a place on every bookshelf.

And for the standard opinions of the Artificial Intelligentsia, the first somewhat out of date but well worth reading (partly because of that) see:

1.

Herbert A. Simon Sciences of the Artificial, MIT Press, Cambridge, Mass. 1982

2.

Patrick Henry Winston, Artificial Intelligence Artificial intelligence 3rd ed. Reading, Mass : Addison-Wesley, 1989

For a somewhat less standard approach to AI with a good deal of charm, see:

1.

Douglas R Hofstadter Gödel, Escher, Bach, An Eternal Golden Braid, Basic Books, 1979

2.

Douglas R. Hofstadter Metamagical Themas: Questing for the Essence of Mind and Pattern Bantam New Age Books 1986.

The exponents of AI can frequently write well, as in the above cases, and have sometimes put in a great deal of thought. The objection of a Mathematician is that the thought is, in general, amiably amateurish. This sour remark may reflect disenchantment or hindsight or both.

Doug collected a Pulitzer prize for GEB, which is a certain kind of warning. Still, anybody who likes the Alice books can't be all bad. These are delightful books to read while slightly drunk on a good champagne.