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, nonsta...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | Undetermined |
| Được phát hành: |
Englewood Cliffs, N.J.
Prentice Hall
1989
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| Những chủ đề: | |
| Các nhãn: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
|---|
| LEADER | 01379nam a2200205Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_232700 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 082 | |a 006.3 | ||
| 082 | |b N225 | ||
| 100 | |a Narendra, Kumpati S. | ||
| 245 | 0 | |a Learning automata : | |
| 245 | 3 | |b An introduction | |
| 245 | 0 | |c Kumpati S. Narendra, Mandayam A.L. Thathachar | |
| 260 | |a Englewood Cliffs, N.J. | ||
| 260 | |b Prentice Hall | ||
| 260 | |c 1989 | ||
| 520 | |a 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. | ||
| 650 | |a Trí tuệ nhân tạo,Artificial intelligence | ||
| 910 | |b dqhieu | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||