Artificial Intelligence, 4/e
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
已過版
買這商品的人也買了...
-
$1,029Fundamentals of Data Structures in C++
-
$1,200$1,176 -
$480$408 -
$1,029Fundamentals of Data Structures in C
-
$1,029Neural Networks: A Comprehensive Foundation, 2/e (精裝)
-
$680$537 -
$2,620$2,489 -
$960An Introduction to Formal Languages and Automata, 3/e
-
$970Introduction to Algorithms, 2/e
-
$1,150$1,127 -
$950Artificial Intelligence: A Guide to Intelligent Systems
-
$1,710$1,625 -
$980$960 -
$1,274Computer Architecture: A Quantitative Approach, 3/e(精裝本)
-
$1,029Operating System Concepts, 6/e (Windows XP Update)
-
$860$731 -
$550$435 -
$1,300$1,235 -
$780$741 -
$1,100$1,078 -
$750$638 -
$650$553 -
$1,710$1,625 -
$480$379 -
$780$741
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.