Open AccessCYC: Using Common Sense Knowledge to Overcome Brittleness and Knowledge Acquisition Bottlenecks
Author(s) -
Lenat Doug,
Prakash Mayank,
Shepherd Mary
Publication year - 1986
Publication title -
ai magazine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.597
H-Index - 79
eISSN - 2371-9621
pISSN - 0738-4602
DOI - 10.1609/aimag.v6i4.510
Subject(s) - computer science , knowledge base , software engineering , field (mathematics) , software , knowledge acquisition , artificial intelligence , data science , programming language , mathematics , pure mathematics
MCC's CYC project is the building, over the coming decade, of a large knowledge base (or KB) of real world facts and heuristics and—as a part of the KB itself—methods for efficiently reasoning over the KB. As the title of this article suggests, our hypothesis is that the two major limitations to building large intelligent programs might be overcome by using such a system. We briefly illustrate how common sense reasoning and analogy can widen the knowledge acquisition bottleneck The next section (“How CYC Works”) illustrates how those same two abilities can solve problems of the type that stymie current expert systems. We then report how the project is being conducted currently: its strategic philosophy, its tactical methodology, and a case study of how we are currently putting that into practice. We conclude with a discussion of the project's feasibility and timetable.