Thathachar, MAL (1990) Stochastic automata and learning systems. In: Sadhana, 15 (4-5). pp. 263-281.
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Abstract
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: | Journal Article |
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Publication: | Sadhana |
Publisher: | Indian Academy of Sciences |
Additional Information: | Copyright of this article belongs to Indian Academy of Sciences |
Keywords: | Stochastic automata; learning systems; artificial neural networks. |
Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
Date Deposited: | 07 Mar 2008 |
Last Modified: | 19 Sep 2010 04:43 |
URI: | http://eprints.iisc.ac.in/id/eprint/13308 |
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