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Controlled Markov Chain Models for Biological Hierarchies

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Part of the NATO Conference Series book series (SYSC,volume 5)

Abstract

A self-organizing system is a hierarchical structure [2] which is simultaneously undergoing a variety of distinguishable activities. In the present paper we model a multihierarchical level system which communicates with the environment via a specific pair of hierarchical levels Q and W (Figure 1).

Keywords

  • Hierarchical Level
  • Quantization Level
  • MARKOV Chain Model
  • Discrete Time Markov Chain
  • Stochastic Control Problem

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References

  1. R. C. Atkinson, G. H. Bower, and E. J. Crothers, An Introduction to Mathematical Learning Theory, Wiley, 1965.

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  2. J. S. Nicolis, and M. Benrubi, “A model on the role of noise at the neuronal and the cognitive levels,” J. of Theor. Biology, 58, pp. 76–96, June 1976.

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© 1978 Springer Science+Business Media New York

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Nicolis, J.S., Protonotarios, E.N., Voulodemou, I. (1978). Controlled Markov Chain Models for Biological Hierarchies. In: Klir, G.J. (eds) Applied General Systems Research. NATO Conference Series, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-0555-3_41

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  • DOI: https://doi.org/10.1007/978-1-4757-0555-3_41

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-0557-7

  • Online ISBN: 978-1-4757-0555-3

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