Building Knowledge-Based Systems for Natural Resource Management - Rilegato

Schmoldt, Daniel L.; Rauscher, H. Michael

 
9780412019210: Building Knowledge-Based Systems for Natural Resource Management

Sinossi

During the last 15 years, the ability to capture and distribute human decision-making skills on a desktop computer has created new possibilities for the management of many types of resources. The resource may be monetary, social, natural or economic. Computer programs that function with a certain degree of skill in solving problems are referred to as expert systems or knowledge systems. Natural resource management appears to be particularly well suited to these types of decision aids. As a result, there is a growing demand for personnel trained in knowledge system development. This guide attempts to cover the major areas which a conservation biologist or research manager requires in order to apply knowledge systems: knowledge acquisition; building a prototype; moving to a final system; knowledge validation; and implementation. Of particular interest is a section discussing the features of a resource management problem appropriate, or inappropriate, for an expert system application.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Contenuti

AI and natural resource management. Knowledge-based systems: representation and search. Other knowledge system components. Planning the application. Knowledge acquisition. Designing the application. Programming knowledge systems in Prolog. An initial prototype using native PROLOG. A PROLOG toolkit approach to developing forest management knowledge-based systems; System evaluation and delivery. Appendix A: Roots of artificial intelligence. Bibliography. Glossary. Index.

Product Description

Book by Schmoldt Daniel L Rauscher H Michael

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9781461284895: Building Knowledge-Based Systems for Natural Resource Management

Edizione in evidenza

ISBN 10:  1461284899 ISBN 13:  9781461284895
Casa editrice: Springer, 2011
Brossura