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Learning Automata: An Introduction | |||
Learning Automata: An Introduction |
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. This volume also provides a fine guide for independent study and a reference for students and professionals in operations research, computer science, artificial intelligence, and robotics. The authors have provided a new preface for this edition.
目录Preface
网友对Learning Automata: An Introduction的评论
this review is not about the content, its about the quality of the print in kindle edition.
kindle edition fonts are worst. pages have different sized fonts for mathematical notation and looks like they pasted pictures (of alpha, beta...) for greek alphabets which gets blown up to a whole page. like one big page of alpha picture, another page will have an = symbol followed by another page of big picture of the equation.
Hi. This text is great and very resourceful. EXCEPT, THAT THE KINDLE VERSION IS ABSOLUTELY ATROCIOUS. Many of the symbols are blown up and unreadable. I highly do not recommend until there is a fix.
Thank you.
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