Abstract
This self-contained introductory text on the behavior of learning automata focuses on how a sequential decision-maker with a finite number of choices responds in a random environment. Topics include fixed structure automata, variable structure stochastic automata, convergence, 0 and S models, nonstationary environments, interconnected automata and games, and applications of learning automata. A must for all students of stochastic algorithms, this treatment is the work of two well-known scientists and is suitable for a one-semester graduate course in automata theory and stochastic algorithms.
Keywords
Computer science
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Publication Info
- Year
- 1989
- Type
- book
- Citations
- 1559
- Access
- Closed
External Links
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Cite This
Kumpati S. Narendra,
Mandayam A. L. Thathachar
(1989).
Learning Automata: An Introduction.
CERN Document Server (European Organization for Nuclear Research)
.