Northeast Artificial Intelligence Consortium Annual Report 1987. Volume 9. Computer Architectures for Very Large Knowledge Bases
Abstract
The Northeast Artificial Intelligence Consortium (NAIC) purpose is to conduct pertinent research in artificial intelligence and to perform activities ancillary to this research. This report describes progress that has been made. The topics covered in general are: versatile expert system for equipment maintenance, distributed AI for communications system control, automatic photo interpretation, time-oriented problem solving, speech understanding systems, knowledge base maintenance, hardware architectures for very large systems, knowledge-based reasoning and planning, and a knowledge acquisition, assistance, and explanation system. The specific topic for this volume is the development of architectures for very large knowledge bases, especially in light of real time requests, parallelism, and the advent of optical computing. Keywords: Very large knowledge bases; Artificial intelligence; Computer architectures; Real time processing; Pattern matching; Parallel computing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1989
- Accession Number
- ADA209454
Entities
People
- P. B. Berra
Organizations
- Syracuse University