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A Methodology for Interactive Systems

  • K. Hanakata

Abstract

In the recent activities in the fields of applied computer science such as Artificial Intelligence, Information Retrieval, Pattern Recognition etc., a methodology of interactive systems is one of the most important problems in designing a system for the above-mentioned purposes. A basic condition which we have to consider in designing an interactive system is that the dialogue partner of a machine is always a man who uses the interactive system and who evaluates its performance on the basis of his different characteristics of information processing. In this respect, it is obvious that the machine part of such an interactive system should be designed so that the human characteristics are also taken into account in terms of performance criterion. In the following brief note, a basic scheme of interactive systems is discussed focusing on the problems which basically come from human ambiguous or fuzzy expression1.

Keywords

Interactive System Resolution Process Machine Problem Description Power Fuzzy Statement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. (1).
    Zadeh, L.A., “The concept of a linguistic variable and its application to approximate reasoning”, Proc. of 2nd joing U.S.-Japan seminar, Oct. 1973.Google Scholar
  2. (2).
    Nilsson, N.J., Problem-solving methods in artificial intelligence, McGraw-Hill, 1971.Google Scholar
  3. (3).
    Laubsch J., Private discussion, Univ. of Stuttgart, Dec. 6, 1973.Google Scholar
  4. (4).
    Newell, A., etal, Human Problem solving, Prentice Hall, N.J. 1972.Google Scholar

Copyright information

© Plenum Press, New York 1974

Authors and Affiliations

  • K. Hanakata
    • 1
  1. 1.University of StuttgartStuttgartW. Germany

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