A Turing Test for Computational and Associative Theories of Learning

Abstract

A Turing test is proposed to evaluate current computational and associative models of learning, and to guide theoretical developments. This test requires a specification of the procedures to which the model applies, a sampling of procedures and response measures, and an objective way to determine the difficulty of discriminating the responses of the model from the responses of the animal. Scalar timing theory is used as an example of a well-developed computational theory of timing that involves addition, multiplication, division, and sampling. The behavioral theory of timing is used as an example of a well-developed associative theory of timing that involves state transitions and strengthening of connections. A Turing test provides a way to evaluate such theories.