Artificial Intelligence, 4/e
暫譯: 人工智慧（第四版）
George F. Luger
- 出版商: Addison Wesley
- 出版日期: 2001-07-30
- 售價: $1,127
- 語言: 英文
- 頁數: 880
- 裝訂: Hardcover
- ISBN: 0201648660
- ISBN-13: 9780201648669
-
相關分類:
人工智慧
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相關主題
商品描述
This revision continues to provide a balanced perspective on the language schools, theories, and applications of artificial intelligence (AI). George Luger unifies the diverse branches of AI through a detailed discussion of its theoretical foundations. The book presents case-based reasoning, genetic algorithms, neural nets, agents, and stochastic models of natural language understanding, as well as coverage of emergent computation and artificial life. Part I introduces AI concepts; Part II discusses the research tools for AI problem solving; Part III demonstrates representations for AI and knowledge-sensitive problem solving; Part IV offers an extensive presentation of issues in machine learning; Part V continues the presentation of important AI application areas; and Part VI presents Lisp and Prolog.
Table of Contents
I. ARTIFICIAL INTELLIGENCE: ITS ROOTS AND SCOPE.
II. ARTIFICIAL INTELLIGENCE AS REPRESENTATION AND SEARCH.
3. Structures and Strategies for State Space Search.
4. Heuristic Search.
5. Control and Implementation of State Space Search.
III. REPRESENTATION AND INTELLIGENCE: THE AI CHALLENGE.
7. Strong Method Problem Solving.
8. Reasoning in Uncertain Situations.
IV. MACHINE LEARNING.
10. Machine Learning: Connectionist.
11. Machine Learning: Social and Emergent.
V. ADVANCED TOPICS FOR AI PROBLEM SOLVING.
13. Understanding Natural Language.
VI. LANGUAGES AND PROGRAMMING TECHNIQUES FOR ARTIFICIAL INTELLIGENCE.
15. An Introduction to LISP.
VII. EPILOGUE.
Bibliography.
Author Index.
Subject Index.
商品描述(中文翻譯)
這次修訂繼續提供對人工智慧（AI）語言學派、理論和應用的平衡觀點。喬治·盧格（George Luger）通過詳細討論其理論基礎，統合了AI的多個分支。本書介紹了基於案例的推理、遺傳演算法、神經網絡、代理人以及自然語言理解的隨機模型，並涵蓋了新興計算和人工生命的內容。第一部分介紹AI概念；第二部分討論AI問題解決的研究工具；第三部分展示AI的表示法和知識敏感的問題解決；第四部分廣泛呈現機器學習中的問題；第五部分繼續介紹重要的AI應用領域；第六部分介紹Lisp和Prolog。
**目錄**
I. 人工智慧：其根源與範疇。
1. AI：歷史與應用。
II. 人工智慧作為表示與搜尋。
2. 謂詞演算。
3. 狀態空間搜尋的結構與策略。
4. 啟發式搜尋。
5. 狀態空間搜尋的控制與實現。
III. 表示與智慧：AI的挑戰。
6. 知識表示。
7. 強方法問題解決。
8. 在不確定情況下的推理。
IV. 機器學習。
9. 機器學習：基於符號的。
10. 機器學習：連結主義的。
11. 機器學習：社會與新興的。
V. AI問題解決的進階主題。
12. 自動推理。
13. 理解自然語言。
VI. 人工智慧的語言與程式設計技術。
14. PROLOG簡介。
15. LISP簡介。
VII. 結語。
16. 人工智慧作為實證研究。
參考文獻。
作者索引。
主題索引。
