Titlebook: Networks of Learning Automata; Techniques for Onlin M. A. L. Thathachar,P. S. Sastry Book 2004 Kluwer Academic Publishers 2004 Computer Vis

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Epilogue, learning problems. One example of an application, namely, pattern recognition was considered in detail in Chapter 4. The problem of speed of learning, which becomes crucial with larger assemblage of LA, was handled in Chapter 5 by forming modules which enable parallel operation.

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M. A. L. Thathachar,P. S. Sastryution (e.g., structure rules), impose dependencies among Web services, and set constraints on their nonfunctional properties. This chapter presents a new approach to Web service discovery that considers implicit social-like relationships between Web services and end-to-end Web service selection fram

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Learning Automata for Pattern Classification, to specific learning problems. As has been mentioned, we can also utilize other automata models such as PLA and GLA in such structures. We have also shown that with PLA we can have learning algorithms (for networks of automata) that converge to the global maximum of expectation of reinforcement.