Knowledge-Based Expert Systems in Chemistry - Not Counting on Computers (Hardcover)

This is currently the only book available on the development of knowledge-based, and related, expert systems in chemistry and toxicology. Written by a pioneer in the field, it shows how computers can work with qualitative information where precise numerical methods are not satisfactory. An underlying theme is the current concern in society about the conflicts between basing decisions on reasoned judgements and wanting precise decisions and measurable effectiveness. As well as explaining how the computer programs work, the book provides insights into how personal and political factors influence scientific progress. The introduction of regulations such as REACH in Europe and modifications to UN and OECD Guidelines on assessment of chemical hazard mean that the use of toxicity prediction is at a turning point. They put a heavy burden on the chemical industry but, for the first time, allow for the use of computer prediction to support or replace in vivo and in vitro experiments. There is increasing recognition among scientists and regulators that qualitative computer methods have much to offer and that in some circumstances they may be more reliable and informative than quantitative methods. This excellent introduction to a field where employment opportunities are growing is aimed at students, scientists and academics with a knowledge of chemistry.

General

Imprint:	Royal Society of Chemistry
Country of origin:	United Kingdom
Series:	Theoretical and Computational Chemistry Series, Volume 1
Release date:	September 2009
First published:	2009
Authors:	Phillip Judson
Series editors:	Jonathan Hirst • Carmay Lim • Kenneth D. Jordan • Walter Thiel
Dimensions:	234 x 156 x 14mm (L x W x T)
Format:	Hardcover - Unsewn / adhesive bound
Pages:	222
ISBN-13:	978-0-85404-160-2
Categories:	Books > Science & Mathematics > Chemistry > Organic chemistry > General Books > Science & Mathematics > Chemistry > Physical chemistry > Quantum & theoretical chemistry
LSN:	0-85404-160-5
Barcode:	9780854041602

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