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Original Articles

PROBABILISTIC FINITE STATE SYSTEM IDENTIFICATION

Pages 229-242 | Received 25 Feb 1982, Accepted 24 Mar 1982, Published online: 06 Apr 2007

References

  • This paper is based on and parts are taken from the author's doctoral dissertation .
  • T. L. Booth , Sequential Machines and Automata Theory . John Wiley and Sons , New York , 1967 .
  • J. W. Carlyle , “ Stochastic Finite-State System Theory .” In: System Theory , edited by L. A. Zadeh and E. Polak , McGraw-Hill , New York , 1969 .
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  • R. Gerardy , “ System Identification The Problem of Using Internal States .” In Systems Science and Science , Proceedings of the twenty-fourth annual North American meeting of the Society for General Systems Research , San Francisco , 1980 .
  • R. Gerardy , Methods for the Identification of Probabilistic Finite State Systems . Ph.D. Dissertation , Slate University of New York at Binghamton , Binghamlon , New York , 1981 .
  • A. Gill , Introduction to the Theory of Finite-State Machines . McGraw-Hill , New York , 1962 .
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  • N. J. Nilsson , Problem-Solving Methods in Artificial Intelligence . McGraw-Hill , New York , 1971 .
  • J. Pearl , “ State Complexity of Imprecise Causal Models .” IEEE Transactions on Systems, Man, and Cybernetics , SMC- 6 , No. 9 , 1976 , pp. 652 – 655 .
  • The algorithms in this paper are described using a pseudocode based on the PASCAL programming language. That is, the control structures of PASCAL are used, but English statements are used in place of formal statements as necessary. The reader who is unfamiliar with PASCAL may consult any of the many excellent texts on the language .

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