Abstract

In this paper we present a new use of a new kind of stochastic learning automaton called a Skinner automaton as a psychological model to formalize the theory of operant conditioning. The animal operant learning is identified with a thermodynamic process, and a so-called Skinner algorithm from Monte Carlo method and Metropolis algorithm as well as simulated annealing is derived. In this paper, the Skinner automaton is implemented on tracking a target to show its wide usage.

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