Abstract
The term identification was introduced by Zadeh in a 1956 paper [1] as a generic expression for the problem of “determining the input-output relationships of a black box by experimental means.” He cited the various terminologies then prevalent for the same problem: “characterization,” “measurement,” “evaluation,” “gedanken experiments,” etc., and noted that the term “identification” states “the crux of the problem with greater clarity than the more standard terms above.”
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References
L. A. Zadeh, “On the Identification Problem,” IRE Transactions on Circuit Theory, 3, December 1956, pp. 277–281.
P. Eykhoff, System Identification, J. Wiley, London, 1974.
B. R. Gaines, “Linear and NonLinear Models of the Human Controller,” International Journal of Man-Machine Studies, 1, pp. 333–360, 1969.
M. Dawkins, and R. Dawkins, “Some Descriptive and Explanatory Stochastic Models of Decision-Making,” Motivational Control Systems Analysis, Academic Press, pp. 119–168, 1974.
R. Dawkins, “Hierarchical Organization: A Candidate Principle for Ethology,” in P. P. G. Bateson and R. A. Hinde (ed), Growing Points in Ethology, Cambridge University Press, pp. 7–54, 1976.
D. M. Vowles, “Neuroethology, Evolution and Grammar,” in L. R. Aronson et al. (eds), Development and Evolution of Behaviour, W. H. Freeman, pp. 194–215, 1970.
K. S. Fu, and T. L. Booth, “Grammatical Inference: Introduction and Survey,” IEEE Trans, Systems, Man and Cybernetics, SMC-5, 1975, pp. 95–111 (Part I), 409–423 (Part II).
K. S. Fu, Syntactic Methods in Pattern Recognition, Academic Press, New York, 1974.
B. R. Gaines, “System Identification, Approximation and Complexity,” International Journal of General Systems, 3, pp. 145–174, 1977.
B. R. Gaines, “Behaviour/Structure Transformations Under Uncertainty,” International Journal of Man-Machine Studies, 8, pp. 337–365, 1976.
B. R. Gaines, “Progress in General Systems Research,” Proceedings of First International Conference on Applied General Systems Research: Recent Developments and Trends, Binghamton, N.Y., August 1977.
S. Watanabe, “Information-Theoretical Aspects of Inductive and Deductive Inference,” IBM Journal Research and Development, 4, pp. 208–231, 1960.
S. Watanabe, “Symmetry in Physical Laws, Part III, Prediction and Retrodiction,” Reviews of Modern Physics, 27, pp. 179–186, 1955.
R. Solomonoff, “A Formal Theory of Inductive Inference,” Information and Control, 7, pp. 1–22 (Part 1), 224–254 (Part 2), 1964.
R. Solomonoff, “A New Method for Discovering the Grammars for Phrase Structure Languages,” Proc. Int. Conf. Information Processing, UNESCO, Paris, Butterworths, June 1959, pp. 285–290.
N. Chomsky, and G. A. Miller, Pattern Conception, Report AFCRC-TN-57–57, August 1957.
E. M. Gold, “Language Identification in the Limit,” Information and Control, 10, pp. 447–474, 1967.
J. A. Feldman, “First Thoughts on Grammatical Inference,” A. I. Memo 55, Stanford University, 1967.
J. Feldman, “Some Decidability Results on Grammatical Inference and Complexity,” Information and Control, 20, pp. 244–262, 1972.
A. Biermann, and J. Feldman, “A Survey of Results in Grammatical Inference,” in S. Watanabe (ed), Frontiers of Pattern Recognition, Academic Press, New York, pp. 31–53, 1972.
J. J. Horning, A Study of Grammatical Inference, Ph.D. Thesis, Stanford University, 1969 (University Microfilms 70–10, 465).
A. W. Biermann, and R. Krishnaswamy, “Constructing Programs from Example Computations,” IEEE Trans. Software Engineering, SE-2, pp. 141–153, 1976.
A. R. Patel, Grammatical Inference for Probabilistic Finite State Grammars, Ph.D. Thesis, University of Connecticut, 1972 (University Microfilms 72–32 241).
F. J. Maryanski, Inference of Probabilistic Grammars, Ph.D. Thesis, University of Connecticut, 1974 (University Microfilms 75–10 645).
J. A. Goguen, “Realization is Universal,” Mathematical Systems Theory, 6, pp. 359–374, 1973.
M. A. Arbib, and E. G. Manes, “Foundations of Systems Theory: Decomposable Systems,” Automatica, 10, pp. 285–302, 1974.
H. Ehrig, Universal Theory of Automata, B. G. Teubner, Stuttgart, 1974.
M. A. Arbib, “Automata and Control Theory—A Rapprochement,” Automatica, 3, pp. 161–189, 1966.
T. L. Fine, Theories of Probability, Academic Press, New York, 1973.
B. R. Gaines, “On the Complexity of Causal Models,” IEEE Trans. on Systems, Man and Cybernetics, SMC-6, pp. 56–59, 1976.
A. Kolmogorov, “Logical Basis for Information Theory and Probability Theory,” IEEE Trans. Information Theory, IT-14, pp. 662–664, 1968.
D. A. Ralescu, “Abstract Models for System Identification,” Faculte de Science Economique et de Gestion, Institut de Mathematiques Economiques, Dijon, France.
L. J. Savage, “Elicitation of Personal Probabilities and Their Assessment,” Journal American Statistical Association, 66, pp. 783–801.
B. de Finetti, Probability, Induction and Statistics, John Wiley, London, 1972.
J. Pearl, “An Economic Basis for Certain Methods of Evaluating Probabilistic Forecasts,” UCLA-ENG-7561, School of Engineering and Applied Science, UCLA, California, July 1975.
R. M. Wharton, “Approximate Language Identification,” Information and Control, 26, pp. 236–255, 1974.
E. Sober, Simplicity, Clarendon Press, Oxford, 1975.
J. V. Cornacchio, “System Complexity—A Bibliography,” International Journal of General Systems, 3, pp. 267–271, 1977.
A. Van der Mude, and A. Walker, “On the Inference of Stochastic Regular Grammars,” Information and Control, to appear.
B. P. Zeigler, “Simulation Based Structural Complexity,” International Journal of General Systems, 2, pp. 217–223, 1976.
R. M. Wharton, “Grammar Enumeration and Inference,” Information and Control, 33, pp. 253–272, 1977.
G. J. Klir, “Identification of Generative Structures in Empirical Data,” International Journal of General Systems, 3, pp. 89–104, 1976.
G. J. Klir, and H. J. J. Uyttenhove, “Computerized Methodology for Structure Modelling,” Annals of Systems Research, 5, pp. 29–66, 1976.
G. J. Klir, and H. J. J. Uyttenhove, “On the Role of Computer-Aided Structure Identification: Some Experimental Observations and Guidelines,” International Journal of Man-Machine Studies, 9, 1977, to appear.
L. Blum, and M. Blum, “Toward a Mathematical Theory of Inductive Inference,” Information and Control, 28, pp. 125–155, 1975.
S. Crespi-Reghizzi, M. A. Melankoff, and L. Lichten, “The use of Grammatical Inference for Designing Programming Languages,” Communications of Association for Computing Machinery, 16, pp. 83–90, 1973.
A. Walker, “A Framework for Model Construction and Model-Based Deduction in Systems with Causal Loops,” Proceedings 3rd, Illinois Conf. on Med. Inf. Processing, Department of Information Engineering, University of Illinois at Chicago Circle, 1976.
I. H. Witten, “Non-Deterministic Modelling of Behaviour Sequences,” EES-MMS-MOD-77, April 1977, Department of Electrical Engineering Science, University of Essex.
J. H. Andreae, and J. G. Cleary, “A New Mechanism for the Brain,” International Journal of Man-Machine Studies, 8, pp. 89–119, 1976.
P. Hajek, and T. Havranek, “On Generation of Inductive Hypotheses,” International Journal of Man-Machine Studies, 9, 1977, to appear.
Special issue on the GUHA method and its applications, International Journal of Man-Machine Studies, 10, January 1978.
R. Chilausky, B. Jacobson, and R. S. Michalski, “An Application of Variable-Valued Logic to Inductive Learning of Plant Disease Diagnostic Rules,” Proc. Sixth Int. Symp. on Multiple Valued Logic, IEEE 76 CH 1111–4C, Utah, May 1976, pp. 233–240.
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Gaines, B.R. (1978). General System Identification — Fundamentals and Results. In: Klir, G.J. (eds) Applied General Systems Research. NATO Conference Series, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-0555-3_7
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