Algorithms for Decision Making
$160.37
- Hardcover
704 pages
- Release Date
5 October 2022
Summary
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.
Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algor…
Book Details
| ISBN-13: | 9780262047012 |
|---|---|
| ISBN-10: | 0262047012 |
| Author: | Mykel J. Kochenderfer, Tim A. Wheeler |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 704 |
| Release Date: | 5 October 2022 |
| Weight: | 567g |
| Dimensions: | 229mm x 203mm |
About The Author
Mykel J. Kochenderfer
Mykel Kochenderfer is Associate Professor at Stanford University, where he is Director of the Stanford Intelligent Systems Laboratory (SISL). He is the author of Decision Making Under Uncertainty (MIT Press). Tim Wheeler is a software engineer in the Bay Area, working on autonomy, controls, and decision-making systems. Kochenderfer and Wheeler are coauthors of Algorithms for Optimization (MIT Press). Kyle Wray is a researcher who designs and implements the decision-making systems on real-world robots.
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