Enhanced descriptions from Syndetics:

It is clear that the techniques of artificial intelligence are useful for more than just the development of thinking machines; they constitute powerful problem-solving tools in their own right and expand the range of problems in science that can be tackled. AI methods can now be used on a routine basis by scientists in academic research as well as the commercial world, it is therefore vital that science students are exposed to, and understand these techniques. This is the first book to present an introduction to AI methods for science undergraduates. The examples are drawn mainly from chemistry but the book is suited to a general scientific audience wanting to know more about how computers can help to understand and interpret science.

Table of contents provided by Syndetics

• 1 Artificial intelligence
• 2 Artificial neural networks
• 3 Expert systems
• 4 Genetic algorithms

Reviews provided by Syndetics

CHOICE Review

Cartwright has prepared a short introduction to several new problem-solving techniques known collectively as "artificial intelligence." These techniques--neural networks, expert systems, and genetic algorithms--are being used to solve certain types of scientific problems that have proven intractable to traditional analytic methods. Cartwright is a chemist, and a number of the examples he has chosen come from chemistry. Within the limited amount of space in this work, he presents the essence of each of these methods clearly and elegantly. A reader interested in using one of these techniques to attack a new problem will not learn enough to be able to do so, but will be able to develop a sense of whether the techniques are likely to help solve the problem. A list of further readings in each area is supplied. For undergraduate-level science libraries and possibly even high school libraries. A. Fry Wesleyan University

Author notes provided by Syndetics

Hugh M. Cartwright is at University of Oxford.