Knowledge Representation for Expert Systems: A Survey and Evaluation of Techniques

Format:

Conference/Event

Author/Creator:

Dankel, Douglas D., author.

Conference Name:

SAE International Congress & Exposition (1987-02-23 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 1987

Summary:

Knowledge representation plays a key role in the development of any Artificial Intelligence based system. A good representation can significantly shorten development time and execution speed, while a poor representation can doom a project.Four representation techniques are commonly used to model knowledge in expert systems: logic, production rules, semantic networks, and frames. This paper describes the application of each of these techniques in modelling mechanical systems. Advantages and disadvantages for each of these techniques are presented

Notes:

Vendor supplied data

Publisher Number:

870110

Access Restriction:

Restricted for use by site license