LISP MACHINE FACILITY FOR EXPERT SYSTEMS RESEARCH

During the year, progress was made in a number of directions: 1. A better understanding of different types of problem solving that underlie expert reasoning was obtained. 2. Advances in representing design knowledge as plans in design specialties were made. 3. CSRL, the language for diagnostic expert system building that was designed in our laboratory, was applied to the implementation of a diagnostic system for the fuel system of an automobile and directions for new constructs for the language were obtained. 4. A representation for functional understanding of how a device works was obtained, and methods of automatically generating diagnostic expert systems from this representation of a device were also obtained. 5. An analysis of how techniques and tasks can be matched in expert design was undertaken.

• Corporate Authors:

  Ohio State University, Columbus

  Research Foundation, 1314 Kinnear Road
  Columbus, OH  United States  43212
• Authors:
  • Chandrasekaran, B
• Publication Date: 1984-8

Media Info

• Pagination: 73 p.

Subject/Index Terms

• TRT Terms: Automobiles; Computer programming languages; Diagnosis; Diagnostic tests; Fuel systems; Information processing
• Identifier Terms: U.S. Department of Transportation
• Old TRIS Terms: Fueling systems; Ost university research
• Subject Areas: Administration and Management; Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 00457204
• Record Type: Publication
• Source Agency: National Technical Information Service
• Report/Paper Numbers: AFOSR-TR-85-0636
• Files: TRIS
• Created Date: Aug 31 1986 12:00AM