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Chaitin, G.W, “On the Length of Programs for Computing Finite Binary Sequences,” Journal of the Assoc. of Comp. Mach., 13, pp. 547–569, 1966.
Chaitin, G.W, “On the Length of Programs for Computing Finite Binary Sequences: Statistical Considerations,” Journal of the Assoc. of Comp. Mach., 16, pp. 145–159, 1969.
Chaitin, G.W, “A Theory of Program Size Formally Identical to Information Theory,” Journal of the Assoc. of Comp. Mach., vol. 22, no. 3, pp. 329–340, July, 1975.
Chomsky, A.N., “Three Models for the Description of Language,” IRE Transactions on Information Theory, Vol. IT-2, No. 3, Sept. 1956, pp. 113–124.
Cover, T.M. “Universal Gambling Schemes and the Complexity Measures of Kolmogorov and Chaitin,” Rep. 12, Statistics Dept., Stanford Univ., Stanford, Ca, 1974.
Feigenbaum, E.A. and Feldman, J. Computers and Thought, McGraw-Hill Book Co., New York, 1963.
Gács. P. “On the Symmetry of Algorithmic Information,” Soviet Math. Dokl., 15:1477–1480, 1974. Correction, Ibid, 15:1480, 1974.
Hayakawa, S.I. Language in Action, Harcourt, Brace and Co., New York, 1941.
Hillis, D. “Co-evolving Parasites Improves Simulated Evolution as an Optimization Procedure,” Artificial Life II, Langdon, C., Taylor, C., Farmer, J., and Rasmussen, S. (Eds), pp 313–324.
Horning, J. “A Procedure for Grammatical Inference,” Proceedings of the IFIP Congress 71, Amsterdam, North Holland, pp. 519–523, 1971.
Huffman, D.A. “A Method for Construction of Minimum-Redundancy Codes,” Proceedings IRE, 40:1098–1101, 1952.
Johnson, W. People in Quandaries; the Semantics of Personal Adjustment, Harper and Row, New York, 1946.
Kolmogorov, A.N. “Three Approaches to the Quantitative Definition of Information.” Problems Inform. Transmission, 1(1): 1–7, 1965
Kolmogorov, A.N. “Logical Basis for Information Theory and Probability Theory.” IEEE Trans. on Information Theory, IT-14(5):662–664, 1968.
Kolmogorov, A.N. “Some Theorems on Algorithmic Entropy and the Algorithmic Quantity of Information.” Uspekhi Mat. Nauk, 23(2):201, 1968.
Kolmogorov, A.N. “On the Logical Foundations of Information Theory and Probability Theory.” Problems Inform. Transmission, 5:1–4, 1969.
Korzybski, A. Science and Sanity, Internat. Non-Aristotelian Library Pub. Co., Lakeville, Conn., 1958.
Koza, J. “Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems,” Rep. No. STAN-CS-90-1314, Dept. of Computer Science, Stanford Univ., Stanford, Ca, 1990, pp. 16–24.
Levin, L.A. “Universal Search Problems,” Problemy Peredaci Informacii 9, pp. 115–116, 1973. Translated in Problems of Information Transmission 9, pp. 265–266.
Levin, L.A. “On the Notion of a Random Sequence,” Soviet Math. Dokl, 14:1413–1416, 1973.
Levin, L.A. “Laws of Information Conservation (Non-Growth) and Aspects of the Foundation of Probability Theory,” Problems Inform. Transmission, 10:206–210. 1974.
Levin, L.A. Personal communication.
Li, M. and Vitányi, P. An Introduction to Kolmogorov Complexity and Its Applications, Springer-Verlag, New York, 1993.
Martin-Löf, P. “The Definition of Random Sequences,” Information and Control, 9:602–619, 1966.
Minsky, M.L.. “Steps Toward Artificial Intelligence,” Proceedings of the Institute of Radio Engineers, 49:8–30, 1961.
Minsky, M.L.. “Problems of Formulation for Artificial Intelligence,” Mathematical Problems in the Biological Sciences, Proceedings of Symposia in Applied Mathematics XIV, R.E. Bellman (ed.), pp. 35–46, American Mathematical Society, R.I., 1962.
Rapoport, A. Operational Philosophy, New York, J. Wiley, 1965.
Rissanen, J. “Modeling by the Shortest Data Description,” Automatica, 14:465–471, 1978.
Rissanen, J. Stochastical Complexity and Statistical Inquiry, World Scientific Publishing Company, 1989.
Schnorr, C.P. “Process Complexity and Effective Random Tests,” J. Comput. System Sci., 7:376–388, 1973.
Solomonoff, R.J. “An Inductive Inference Machine,” A privately circulated report, August 1956.
Solomonoff, R.J. “An Inductive Inference Machine,” IRE Convention Record, Section on Information Theory, 1957.
Solomonoff, R.J. “A Progress Report on Machines to Learn to Translate Languages and Retrieve Information,” Advances in Documentation and Library Science, Vol. III, pt. 2, pp. 941–953. (Proceedings of a conference in September 1959).
Solomonoff, R.J. “A Preliminary Report on a General Theory of Inductive Inference,” Report V-131, Zator Co., Cambridge, Mass., Feb. 4, 1960.
Solomonoff, R.J. “A Preliminary Report on a General Theory of Inductive Inference,” (Revision of Report V-131), Contract AF 49(639)-376, Report ZTB-138, Zator Co., Cambridge, Mass., Nov, 1960.
Solomonoff, R.J. “A Formal Theory of Inductive Inference,” Information and Control, Part I: Vol 7, No. 1, pp. 1–22, March 1964.
Solomonoff, R.J. “A Formal Theory of Inductive Inference,” Information and Control, Part II: Vol 7, No. 2, pp. 224–254, June 1964.
Solomonoff, R.J. “Inductive Inference Theory-a Unified Approach to Problems in Pattern Recognition and Artificial Intelligence,” Proceedings of the 4th International Conference on Artificial Intelligence, pp 274–280, Tbilisi, Georgia, USSR, September 1975.
Solomonoff, R.J. “The Adequacy of Complexity Models of Induction,” International Congress of Logic, Methodology and Philosophy of Science, Section VI, pp 19–20, London, Ontario, Canada, September 1975.
Solomonoff, R.J. “Complexity-Based Induction Systems: Comparisons and Convergence Theorems,” IEEE Trans. on Information Theory, Vol IT-24, No. 4, pp. 422–432, July 1978.
Solomonoff, R.J. “Optimum Sequential Search,” Oxbridge Research, P.O. Box 391887, Cambridge, Mass. 02139, June 1984.
Solomonoff, R.J. “The Application of Algorithmic Probability to Problems in Artificial Intelligence,” in Uncertainty in Artificial Intelligence, Kanal, L.N. and Lemmer, J.F. (Eds), Elsevier Science Publishers B.V., PP. 473–491, 1986.
Solomonoff, R.J. “A System for Incremental Learning Based on Algorithmic Probability,” Proceedings of the Sixth Israeli Conference on Artificial Intelligence, Computer Vision and Pattern Recognition, Dec. 1989, pp. 515–527.
van Heerden, P.J. “A General Theory of Prediction,” Technical Report, Polaroid Corp., Cambridge, Mass., 1963.
Wallace, C.S and Boulton, D.M. “An Information Measure for Classification,” Computing Journal, 11:185–195, 1968.
Willis, D.G. “Computational Complexity and Probability Constructions,” Journal of the Assoc. of Comp. Mach., pp. 241–259, April 1970.
Zvonkin, A.K., and Levin, L.A., “The Complexity of Finite Objects and the Development of the Concepts of Information and Randomness by Means of the Theory of Algorithms,” Russ. Math. Survs, Vol. 25, No. 6, pp. 83–124, 1970.
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Solomonoff, R.J. (1995). The discovery of algorithmic probability: A guide for the programming of true creativity. In: Vitányi, P. (eds) Computational Learning Theory. EuroCOLT 1995. Lecture Notes in Computer Science, vol 904. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59119-2_165
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