THE RELEVANCE OF THE LOGIC THEORY MACHINE TO MODELLING OF EVOLUTIONARY SYSTEMS

Based on the postulates underlying the Logic Theory Machine, an attempt is made to develop a stochastic model of the process of problem solving in non‐laboratory situations. To determine the adequacy of the proposed model it is applied to the illustrative case of improvement in the design of digital computers over the course of time. The results of this study do not refute the claim that the scope of the information theory of problem solving may be broader than the tasks it has been applied hitherto. In particular, the relevance of the postulates underlying the Logic Theory Machine to modelling of evolutionary systems is pointed out.