Computational Intelligence: A Logical Approach
暫譯: 計算智慧:邏輯方法
David Poole, Alan Mackworth, Randy Goebel
- 出版商: Oxford University
- 出版日期: 1998-01-08
- 售價: $890
- 貴賓價: 9.8 折 $872
- 語言: 英文
- 頁數: 576
- 裝訂: Hardcover
- ISBN: 0195102703
- ISBN-13: 9780195102703
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商品描述
Description:
Computational Intelligence: A Logical Approach provides a unique and integrated introduction to artificial intelligence. It weaves a unifying theme--an intelligent agent acting in its environment-- through the core issues of AI, placing them into a coherent framework. Rather than giving a surface treatment of an overwhelming number of topics, it covers fundamental concepts in depth, providing a foundation on which students can build an understanding of modern AI. This logical approach clarifies and integrates representation and reasoning fundamentals, leading students from simple to complex ideas with clear motivation. The authors develop AI representation schemes and describe their uses for diverse applications, from autonomous robots to diagnostic assistants to infobots that find information in rich information sources. The authors' website (http://www.cs.ubc.ca/spider/poole/ci.html) offers extensive support for the text, including source code, interactive Java scripts, various pedagogical aids, and an interactive environment for developing and debugging knowledge bases.
Ideal for upper-level undergraduate and introductory graduate courses in artificial intelligence, Computational Intelligence encourages students to explore, implement, and experiment with a series of progressively richer representations that capture the essential features of more and more demanding tasks and environments.
商品描述(中文翻譯)
**描述:**
《計算智能:邏輯方法》提供了一個獨特且綜合的人工智慧介紹。它通過人工智慧的核心問題編織出一個統一的主題——智能代理在其環境中行動,將這些問題置於一個連貫的框架中。與其對大量主題進行表面處理,不如深入探討基本概念,為學生建立理解現代人工智慧的基礎。這種邏輯方法澄清並整合了表示法和推理的基本原則,帶領學生從簡單到複雜的概念,並提供清晰的動機。作者開發了人工智慧表示方案,並描述其在各種應用中的用途,從自主機器人到診斷助手,再到在豐富信息來源中尋找信息的資訊機器人。作者的網站 (http://www.cs.ubc.ca/spider/poole/ci.html) 提供了對文本的廣泛支持,包括源代碼、互動式 Java 腳本、各種教學輔助工具,以及一個用於開發和調試知識庫的互動環境。
非常適合高年級本科生和人工智慧入門研究生課程,《計算智能》鼓勵學生探索、實現和實驗一系列逐步豐富的表示法,這些表示法捕捉了越來越多要求的任務和環境的基本特徵。
