Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-19T02:14:53.845Z Has data issue: false hasContentIssue false
  • English
  • Français

Entropy of Knowledge

Published online by Cambridge University Press:  14 March 2022

Hillary Jay Kelley
Get access Rights & Permissions [Opens in a new window]

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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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