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Multi-state-choice automata model for expedient learning in random environment

Lakshminarasimhan, AL and Dasarathy, BV (1975) Multi-state-choice automata model for expedient learning in random environment. In: Information Sciences, 9 (2). pp. 91-98.

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Abstract

A new automata model Mr,k, with a conceptually significant innovation in the form of multi-state alternatives at each instance, is proposed in this study. Computer simulations of the Mr,k, model in the context of feature selection in an unsupervised environment has demonstrated the superiority of the model over similar models without this multi-state-choice innovation.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Elsevier Science.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 03 Feb 2010 06:16
Last Modified: 03 Feb 2010 06:16
URI: http://eprints.iisc.ernet.in/id/eprint/23881

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