Abstract
Learning algorithms have been extensively studied in Mathematical Psychology [13] [14] [18] for decades and more recently in Learning Automata Theory and Mathematical Statistics [1] [2] [8] [11] [16]. In Mathematical Psychology the interest in learning stems from the desire to understand the observed animal learning and associated changes in their behavior. However, in Learning Automata Theory and Mathematical Statistics the aim is to build algorithms that exhibit prespecified behaviour. Our interests, in this paper, are in the latter approach.
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