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Entropy of Knowledge

Published online by Cambridge University Press:  14 March 2022

Hillary Jay Kelley
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Abstract

Entropy is proposed as a concept which in its broader scope can contribute to the study of the General Information System. This paper attempts to identify a few fundamental subconcepts and lemmas which will serve to facilitate further study of system order. The paper discusses: partitioning order into logical and arbitrary kinds; the relationship of order to pattern; and suggested approaches to evaluating and improving the General Information System.

Type
Research Article
Information
Philosophy of Science , Volume 36 , Issue 2 , June 1969 , pp. 178 - 196
Copyright
Copyright © 1969 by The Philosophy of Science Association

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References

[1] Adey, R., In Conversation with the Author, Washington, D.C., 1964.Google Scholar
[2] Black, D. V., Document Storage and Retrieval Techniques—Appendix, Technical Report by Planning Research Corporation for Naval Command Systems Support Activity AD414713, 1963.Google Scholar
[3] Cherry, C., On Human Communication, Technology Press, 1967.Google Scholar
[4] Elsasser, W. M., et al., The Physical Foundations of Biology, Pergamon Press, 1958, p. 198.Google Scholar
[5] Gabor, D., “A summary of communication theory,” in Communication Theory, Academic Press, New York, 1953.Google Scholar
[6] Giuliano, V. E., “How we find patterns,” International Science and Technology, February 1967, p. 42.Google Scholar
[7] Heisenberg, W. Z., Physics, vol. 43 (No. 172), 1927.Google Scholar
[8] Jung, F., “The Applications of Thermodynamics to Biological and Medical Problems,” 1956.Google Scholar
[9] Kelvin, W. T., Principles of Mechanics and Dynamics, Dover, New York, 1960. (Republished.)Google Scholar
[10] Mackay, D. M., “Quantal aspect of scientific information,” Philosophical Magazine, 1950.CrossRefGoogle Scholar
[11] Miller, J. G., “Living systems, basic concepts,” Behavioral Science, vol. 10 (No. 3), July 1965.CrossRefGoogle ScholarPubMed
[12] Miller, G. A., Bruner, W. S., and Postman, L., “Familiarity of letter sequences and tachistoscopic identification,” W. Genet. Psychology, vol. 50, 1954.Google Scholar
[13] Mizutani, I., On Economic Entropy, Princeton University Econometric Research Program Paper No. 11, April 1965.Google Scholar
[14] Rothstein, J., “Information, measurement, and quantum mechanics,” Science, 1951.CrossRefGoogle Scholar
[15] Rothstein, J., “Entropy, Organization and Physical Models of Biological Systems,” Annual Meeting Biophysical Soc., Philadelphia, 1960.Google Scholar
[16] Schroedinger, E., What is Life?, Cambridge University Press, London, 1944.Google Scholar
[17] Shannon, C. E., “The mathematical theory of communication,” Bell System Technical Journal, 1948.CrossRefGoogle Scholar
[18] Thorndike, E., Human Learning, Century Press, 1931.CrossRefGoogle Scholar
[19] Von Neumann, J., Mathematical Foundations of Quantum Mechanics.Google Scholar
[20] Zipf, G. K., Human Behavior and the Principle of Least Effort, Hafner Publishing Company, New York, 1949.Google Scholar