Analysis of Markov Chain Models of Adaptive Processes

Released on by K. R. Kaplan
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  • Analysis of Markov Chain Models of Adaptive Processes Book Detail

  • Author : K. R. Kaplan
  • Release Date : 1965
  • Publisher :
  • Genre : Adaptation (Physiology)
  • Pages : 116
  • ISBN 13 :
  • File Size : 28,28 MB
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Analysis of Markov Chain Models of Adaptive Processes by K. R. Kaplan PDF Summary

Book Description: Learning and adaptation are considered to be stochastic in nature by most modern psychologists and by many engineers. Markov chains are among the simplest and best understood models of stochastic processes and, in recent years, have frequently found application as models of adaptive processes. A number of new techniques are developed for the analysis of synchronous and asynchronous Markov chains, with emphasis on the problems encountered in the use of these chains as models of adaptive processes. Signal flow analysis yields simplified computations of asymptotic success probabilities, delay times, and other indices of performance. The techniques are illustrated by several examples of adaptive processes. These examples yield further insight into the relations between adaptation and feedback. (Author).

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Adaptive Markov Control Processes

Adaptive Markov Control Processes

File Size : 19,19 MB
Total View : 9575 Views
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This book is concerned with a class of discrete-time stochastic control processes known as controlled Markov processes (CMP's), also known as Markov decision pr