Recent Developments in Learning Automata

Kumpati S. Narendra and Richard M. Wheeler
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Kumpati S. Narendra: Yale University, Center for Systems Science
Richard M. Wheeler: Yale University, Center for Systems Science

A chapter in Adaptive and Learning Systems, 1986, pp 197-211 from Springer

Abstract: Abstract The paper surveys the major developments in learning automata theory and applications in the last two decades. Since a survey article on the subject appeared in 1977, the emphasis is on subsequent developments. Of particular importance is some recent work on the use of many automata interacting in a decentralized manner. This framework provides a conceptual focus and an analytical basis for future research on modeling and control of complex systems. Applications of the theory are also reviewed, with special attention devoted to the problem of traffic routing in telecommunication networks.

Keywords: Markov Chain; Random Environment; Learn Automaton; Finite Markov Chain; Decentralize Manner (search for similar items in EconPapers)
Date: 1986
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4757-1895-9_13

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DOI: 10.1007/978-1-4757-1895-9_13

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