Quantum modelling of the learning curve
Artikel i vetenskaplig tidskrift, 2018
Learning curves are tools for assessing and designing strategy and policy. The stakes in decisions on strategy and policy may be high and the reliability of the curves therefore becomes a serious issue. The purpose of this paper is to show that the curve and the learning rates for an unperturbed system emerge from fundamental findings in quantum theory, non-equilibrium thermodynamics and cybernetics. One conclusion is that the learning curve phenomenon pervades all industrial activities performed by operationally closed systems. The learning system is modelled as a spinor representing two superposed operations, computing and producing. The phase difference between the operations is important for system behaviour.