Accession Number : ADA193107

Title :   Distributed Knowledge Base Systems for Diagnosis and Information Retrieval.

Descriptive Note : Technical rept.,

Corporate Author : OHIO STATE UNIV RESEARCH FOUNDATION COLUMBUS

Personal Author(s) : Chandrasekaran, B

PDF Url : ADA193107

Report Date : 08 Apr 1988

Pagination or Media Count : 160

Abstract : This report summarizes work done in artificial intelligence. Research is reported on in the following areas: applications of generic task methodology to learning, design, and planning; theoretical and critical studies of connectionism, neural nets, and symbolic computation; and studies of the uses of distributed systems for concurrent algorithms/implementation for abductive assembly a basic generic problem solving task. Topics include: A corrective learning procedure using different explanatory types; A task oriented approach to knowledge-based systems for process engineering design; An information processing model of japanese foreign and energy policy decision making; Understanding device feedback; Connectionism and information processing abstractions--The message still counts more than the medium; Some experiments with neural nets; From numbers to symbols to knowledge structures--AI perspectives on the classification task; Distributed synthesis of composite explanatory hypotheses.

Descriptors :   *ARTIFICIAL INTELLIGENCE, *INFORMATION RETRIEVAL, CLASSIFICATION, COMPUTATIONS, DISTRIBUTION, ENGINEERING, HYPOTHESES, INFORMATION PROCESSING, LEARNING, METHODOLOGY, MODELS, NEURAL NETS, PROBLEM SOLVING, PROCESSING, SYMBOLS, SYNTHESIS, DECISION MAKING, ALGORITHMS

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE