The application of these principles is not restricted to any single method of horse-training, and we do not expect that just one system will emerge. There are many possible systems of optimal horse-training that adhere to all of these principles. Learning theory explains positive and negative reinforcement and how they work in establishing habitual responses to light, clear signals. For example, when the horse responds to a turn signal and the rein pressure is immediately released, negative reinforcement has been applied.
Prompt and correct reinforcement makes it more likely that the horse will respond in the same way in future. Learning theory explains how classical conditioning and habituation can be correctly used in horse-training. It is a prerequisite for effective learning that responses are trained one-at-a-time. To avoid confusing the horse, it is essential that each signal elicits just one response. However, there is no problem with a particular response being elicited by more than one signal. Sometimes a response may be complex and consist of several trained elements. These should be shaped or built up progressively.
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For clarity, a complete sequence of responses must be offered by the horse within a consistent structure e. Verbal behavior in the mynah bird. Salzinger Eds. New York: Academic, , pp. Hayes, K. The intellectual development of a home-raised chimpanzee. Proceedings of the American Philosophical Society , , 95 , — Konorski, J. Mechanisms of learning. Brown Eds.
New York: Academic, Postscript to: On a particular form of conditioned reflex. Behavior Analysis. CrossRef Google Scholar. Mowrer, O.
Learning theory and personality dynamics. New York: Ronald, Learning theory and behavior. The E-mail message field is required.
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