๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Building large knowledge-based systems: Representation and inference in the cyc project: D.B. Lenat and R.V. Guha

โœ Scribed by Charles Elkan; Russell Greiner

Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
725 KB
Volume
61
Category
Article
ISSN
0004-3702

No coin nor oath required. For personal study only.

โœฆ Synopsis

The book under review here, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project, describes progress so far in an attempt to build a system that is intended to exhibit general common-sense reasoning ability. This review first discusses aspects of the Cyc system, with a focus on important decisions made in designing its

๐Ÿ“œ SIMILAR VOLUMES

Building large knowledge-based systems:
Building large knowledge-based systems: Representation and inference in the cyc project: D.B. Lenat and R.V. Guha
โœ Drew McDermott ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 617 KB

The Cyc project, and this book, are based on two premises: ( 1 ) that what is holding AI back is programs' lack of explicitly represented knowledge; and (2) that the time is ripe to fix the problem by encoding large chunks of it. The project aims to verify (2) by the most forthright means possible,

Building large knowledge-based systems:
Building large knowledge-based systems: Representation and inference in the cyc project: D.B. Lenat and R.V. Guha
โœ Robert Neches ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 921 KB

## Top-level reactions The Cyc Project is a monumental experiment in building very large knowledge-based systems. The book caused me to think a lot about how such research is done and what will be required to someday apply it. In this review, I want to focus on four issues derived from those conce