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SLICE — A System for Simulation Through a Set of Cooperating Expert Systems

  • Geoffrey D. Gosling
  • Anna M. Okseniuk
Conference paper

Abstract

Expert systems have been receiving increasing attention as potential components of automated, real-time systems. Early applications to engineering problems such as PROSPECTOR (analysis of borehole logs) or R1 (configuration of computer equipment) involved an interaction with the user in an off-line environment. However, applications are now being considered in which users interact with expert systems in real time, while also taking control or design decisions. Among the applications that have been proposed, or are being actively developed, are military command and control systems (Taylor, 1983), aircraft flight decks and space flight operations (Marsh, 1984), and air traffic control systems (Gosling & Hockaday, 1984; Shively & Schwamb, 1984). In all these applications, a critical aspect is the role of the human in the system, and the interface between the human operator or decision-maker and the automated system. Data flows in to the system from sensors and is stored in a database by a data management system.

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References

  1. Goldberg, A. and D. Robson (1984), Smalltalk-80; the Language and its Implementation, Addison-Wesley, Reading, Massachusetts, 1984.Google Scholar
  2. Gosling, G.D. (1984), Development of a Computer Evaluation Model to Analyze Alternative Air Traffic Control Strategies, Working Paper UCB-ITS-WP-84–10, Institute of Transportation Studies, University of California, Berkeley, November 1984.Google Scholar
  3. Gosling, G.D., and S.L.M. Hockaday (1984), Identification and Assessment of Artificial Intelligence Techniques in Air Traffic Control, Research Report UCB-ITS-RR-84–14, Institute Transportation Studies, University of California, Berkeley, September, 1984.Google Scholar
  4. Gosling, G.D. and A.M. Okseniuk (1985), Simulation in LISP of Continuous Events, Working Paper UCB-ITS-WP-85–11, Institute of Transportation Studies, University of California, Berkeley, May 1985.Google Scholar
  5. Marsh, A.K. (1984), “NASA to Demonstrate Artificial Intelligence in Flight Operations,” Aviation Week and Space Tech-nology, September 17, 1984.Google Scholar
  6. Shively, CA., and K.B. Schwamb, (1984 ), AIRPAC: Advisor for the Intelligent Resolution of Predicted Aircraft Conflicts, Report MTR-84WI64, The MITRE Corporation, McLean, Virginia, October 1984.Google Scholar
  7. Taylor, E.C. (1983), “Knowledge Engineering: Making Artificial Experts,” TRW Electronics and Defense Sector, Quest, Summer 1983.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • Geoffrey D. Gosling
    • 1
  • Anna M. Okseniuk
    • 1
  1. 1.Institute of Transportation StudiesUniversity of CaliforniaBerkeleyUSA

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