KSL-90-83 + redirect page
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory + Has identifier
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory + Ksl tr id
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory + Number
| Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory |
Bibtype
techreport
Has publishing details
November,1990
Has title
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory
Has where published
KSL-90-83
Has year
1990
Title
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory
Year
1990
Abstract
We view the limitation of highly specializ … We view the limitation of highly specialized, narrowly scoped knowledge bases as the single greatest impediment to achieving higher levels of competence inexpert systems and other AI programs. Programs must know more than they know today, and be able to use more general forms of knowledge, if they are to become more intelligent. To build programs with more generally useful knowledge will require advances in the representation of knowledge and appropriate reasoning processes.Our long-term goal is to explore the limits of performance/competence achievable by intelligent systems. Considering the principle that intelligent performance is strongly dependent on the knowledge given to systems, we are concentrating on the question of how to represent general-purpose scientific and engineering knowledge that can be used in a variety of important tasks.This paper summarizes the technical issues that motivate the How Things Work project, discusses some of the tangible results expected, and concludes with a section on the scientific and social importance of the research. fic and social importance of the research.
Address
Stanford, CA, USA +
Author
Edward A. Feigenbaum and Robert S. Engelmore and Thomas R. Gruber and Yumi Iwasaki +
Has author
Edward A. Feigenbaum and Robert S. Engelmore and Thomas R. Gruber and Yumi Iwasaki +
Has identifier
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory +
Month
November +
Number
Large Knowledge Bases for Engineering: The How Things Work Project of the Knowledge Systems Laboratory +
Process note
NO +
Categories KSL Technical Report +, Publication +, Technical Report +
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