ERIC Number: ED201337
Record Type: RIE
Publication Date: 1980-May
Knowledge Acquisition, Knowledge Programming, and Knowledge Refinement.
Hayes-Roth, Frederick; And Others
This report describes the principal findings and recommendations of a 2-year Rand research project on machine-aided knowledge acquisition and discusses the transfer of expertise from humans to machines, as well as the functions of planning, debugging, knowledge refinement, and autonomous machine learning. The relative advantages of humans and machines in the building of intelligent systems are explained. Background and guidance is provided for policymakers concerned with the research and development of machine-based learning systems. The research method adopted emphasized iterative refinement of knowledge in response to actual experience; i.e., a machine's knowledge was acquired initially from a human who provided enough concepts, constraints, and problem-solving heuristics to define some minimal level of performance. Sixty-two references are listed. (Author/FM)
Descriptors: Artificial Intelligence, Computers, Information Theory, Man Machine Systems, Programing, Research Reports, Systems Development
Rand Corporation, Main St., Santa Monica, CA 90406 ($3.00).
Publication Type: Reports - Research
Education Level: N/A
Sponsor: National Science Foundation, Washington, DC.
Authoring Institution: Rand Corp., Santa Monica, CA.