[The use of a mathematical model of human instruction for a description of the process of animal learning].
We suggest to use logistic equations derived for description of human learning to predict the process of animal learning. Experimental data available in the literature on the problem are reduced (if necessary) to the curves which describe the relative degree of learning I(n) as a function of number of trials. Comparison between the calculations by the formula for human learning curve and experimental data on animal learning leads to the conclusion about the applicability of this theory to studying animal behaviour in the process of learning. Numerical values of the parameter tau 1 are estimated. Analysis of theoretical and experimental data allows us to distinguish a certain period of adaptation of animals to learning. The possibility of estimating the animal "intelligence" is demonstrated. The general conclusion is that it is reasonable to apply some theoretical findings obtained from the studies of human learning to investigation of animal behaviour.
Prisniakov
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D000818:Animals; D002415:Cats; D003214:Conditioning, Classical / Q000502:physiology; D003216:Conditioning, Operant / Q000502:physiology; D004285:Dogs; D000882:Haplorhini; D006801:Humans; D007858:Learning / Q000502:physiology*; D008433:Mathematics; D017145:Models, Educational; D008960:Models, Psychological; D011379:Prognosis; D051381:Rats