| 书目名称 | Introduction to Artificial Intelligence | | 编辑 | Wolfgang Ertel | | 视频video | | | 概述 | An ideal, quick resource on A.I., excellent for self-study.Presents an application-focused and hands-on approach to learning the subject.Provides study exercises at the end of each chapter, in additio | | 丛书名称 | Undergraduate Topics in Computer Science | | 图书封面 |  | | 描述 | This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website. | | 出版日期 | Textbook Mar 20111st edition | | 关键词 | Artificial Intelligence | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-85729-299-5 | | issn_series | 1863-7310 | | copyright | Springer-Verlag London Ltd., part of Springer Nature 2011 |
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发表于 2025-3-21 18:25:58
