Abstract
The management problem of the CA technology of OTSs has been considered and formalized in Chap. 1 (also see Belov and Novikov in Methodology of complex activity. Lenand, Moscow, 320 pp., 2018, [1]). More specifically, the most important peculiarities of the CA of OTSs have been analyzed and also formal models and a mathematical setup of this management problem have been presented.
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Notes
- 1.
Hereinafter, the symbol “□” indicates the end of a proof or example.
- 2.
Recall that the learning curve Lt describes the probability that the environment will take a new value at time (t + 1). This probability is estimated using the observations during t times inclusive.
- 3.
This model may have an alternative interpretation as follows. Checks are performed at each step while a technology for a new state is designed with some probability determined by a metaprocess. In the logistic model, this probability is equal to the learning level in the process itself; in the hyperbolic model, to the probability of “error” raised to some power with the proportionality factor µ.
References
Belov M, Novikov D (2018) Methodology of complex activity. Lenand, Moscow, 320 pp (in Russian)
Business Process Model and Notation (BPMN), v2.0.2. http://www.omg.org/spec/BPMN/2.0
Novikov D (2013) Theory of control in organizations. Nova Science Publishers, New York, 341 pp
Novikov D (1998) Laws of iterative learning. Trapeznikov Institute of Control Sciences RAS, Moscow, 98 pp (in Russian)
Ebbinghaus H (1885) Über das Gedächtnis. Dunker, Leipzig, 168 pp
Thurstone L (1919) The learning curve equation. Psychol Monogr 26(3):1–51
Thurstone L (1930) The learning function. J Gen Psychol 3:469–493
Tolman E (1934) Theories of learning. In: Moss FA (ed) Comparative psychology. Prentice Hall, New York, pp 232–254
Atkinson R, Bower G, Crothers J (1967) Introduction to mathematical learning theory. Wiley, New York, 429 pp
Bush R, Mosteller F (1955) Stochastic models for learning. Wiley, New York, 365 pp
Hull C (1943) Principles of behavior and introduction to behavior theory. D. Appleton Century Company, New York, 422 pp
Wright T (1936) Factors affecting the cost of airplanes. J Aeronaut Sci 3(4):122–128
Crawford J (1944) Learning curve, ship curve, ratios, related data. Lockheed Aircraft Corporation, pp. 122–128
Henderson B (1984) The application and misapplication of the learning curve. J Bus Strategy 4:3–9
Leibowitz N, Baum B, Enden G, Karniel A (2010) The exponential learning equation as a function of successful trials results in sigmoid performance. J Math Psychol 54:338–340
Novikov D (2012) Collective learning-by-doing. IFAC Proc Vol 45(11):408–412
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Belov, M.V., Novikov, D.A. (2020). Models of Technology Design and Adoption. In: Models of Technologies. Lecture Notes in Networks and Systems, vol 86. Springer, Cham. https://doi.org/10.1007/978-3-030-31084-4_2
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DOI: https://doi.org/10.1007/978-3-030-31084-4_2
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