01379nam a2200205Ia 4500 CTU_232700 210402s9999 xx 000 0 und d 006.3 N225 Narendra, Kumpati S. Learning automata : An introduction Kumpati S. Narendra, Mandayam A.L. Thathachar Englewood Cliffs, N.J. Prentice Hall 1989 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. Trí tuệ nhân tạo,Artificial intelligence dqhieu Trung tâm Học liệu Trường Đại học Cần Thơ