Stochastic automata and learning systems

Thathachar, M. A. L. (1990) Stochastic automata and learning systems Sadhana (Academy Proceedings in Engineering Sciences), 15 (4-5). pp. 263-281. ISSN 0256-2499

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We consider stochastic automata models of learning systems in this article. Such learning automata select the best action out of a finite number of actions by repeated interaction with the unknown random environment in which they operate. The selection of an action at each instant is done on the basis of a probability distribution which is updated according to a learning algorithm. Convergence theorems for the learning algorithms are available. Moreover the automata can be arranged in the form of teams and hierarchies to handle complex learning problems such as pattern recognition. These interconnections of learning automata could be regarded as artificial neural networks.

Item Type:Article
Source:Copyright of this article belongs to Indian Academy of Sciences.
Keywords:Stochastic Sutomata; Learning Systems; Artificial Neural Networks
ID Code:51320
Deposited On:28 Jul 2011 11:58
Last Modified:18 May 2016 05:19

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