An introduction to artificial intelligence
著者
書誌事項
An introduction to artificial intelligence
UCL Press, 1996
- : pbk
大学図書館所蔵 全15件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
An authoritative and accessible one-stop resource, An Introduction to Artificial Intelligence presents the first full examination of AI. Designed to provide an understanding of the foundations of artificial intelligence, it examines the central computational techniques employed by AI, including knowledge representation, search, reasoning, and learning, as well as the principal application domains of expert systems, natural language, vision, robotics, software agents and cognitive modeling. Many of the major philosophical and ethical issues of AI are also introduced.
Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise coursebook form. This book stands as a core text for all computer scientists approaching AI for the first time.
目次
Preface -- Introduction -- What is artificial intelligence? History of artificial intelligence The future for AI -- 1 Knowledge in AI -- 1.1 Overview -- 1.2 Introduction -- 1.3 Representing knowledge -- 1.4 Metrics for assessing knowledge representation schemes -- 1.5 Logic representations -- 1.6 Procedural representation -- 1.7 Network representations -- 1.8 Structured representations -- 1.9 General knowledge -- 1.10 The frame problem -- 1.11 Knowledge elicitation -- 1.12 Summary -- 1.13 Exercises -- 1.14 Recommended further reading -- 2 Reasoning -- 2.1 Overview -- 2.2 What is reasoning? -- 2.3 Forward and backward reasoning -- 2.4 Reasoning with uncertainty -- 2.5 Summary -- 2.6 Exercises -- 2.7 Recommended further reading -- 3 Search -- 3.1 Introduction -- 3.2 Exhaustive search and simple pruning -- 3.3 Heuristic search -- 3.4 Knowledge-rich search -- 3.5 Summary -- 3.6 Exercises -- 3.7 Recommended further reading -- 4 Machine learning -- 4.1 Overview -- 4.2 Why do we want machine learning? -- 4.3 How machines learn -- 4.4 Deductive learning -- 4.5 Inductive learning -- 4.6 Explanation-based learning -- 4.7 Example: Query-by-Browsing -- 4.8 Summary -- 4.9 Recommended further reading -- 5 Game playing -- 5.1 Overview -- 5.2 Introduction -- 5.3 Characteristics of game playing -- 5.4 Standard games -- 5.5 Non-zero-sum games and simultaneous play -- 5.6 The adversary is life! -- 5.7 Probability -- 5.8 Summary -- 5.9 Exercises -- 5.10 Recommended further reading -- 6 Expert systems -- 6.1 Overview -- 6.2 What are expert systems? -- 6.3 Uses of expert systems -- 6.4 Architecture of an expert system -- 6.5 Examples of four expert systems -- 6.6 Building an expert system -- 6.7 Limitations of expert systems -- 6.8 Hybrid expert systems -- 6.9 Summary -- 6.10 Exercises -- 6.11 Recommended further reading -- 7 Natural language understanding -- 7.1 Overview -- 7.2 What is natural language understanding? -- 7.3 Why do we need natural language understanding? -- 7.4 Why is natural language understanding difficult? -- 7.5 An early attempt at natural language understanding: SHRDLU -- 7.6 How does natural language understanding work? -- 7.7 Syntactic analysis -- 7.8 Semantic analysis -- 7.9 Pragmatic analysis -- 7.10 Summary -- 7.11 Exercises -- 7.12 Recommended further reading -- 7.13 Solution to SHRDLU problem -- 8 Computer vision -- 8.1 Overview -- 8.2 Introduction -- 8.3 Digitization and signal processing -- 8.4 Edge detection -- 8.5 Region detection -- 8.6 Reconstructing objects -- 8.7 Identifying objects -- 8.8 Multiple images -- 8.9 Summary -- 8.10 Exercises -- 8.11 Recommended further reading -- 9 Planning and robotics -- 9.1 Overview -- 9.2 Introduction -- 9.3 Global planning -- 9.4 Local planning -- 9.5 Limbs, legs and eyes -- 9.6 Practical robotics -- 9.7 Summary -- 9.8 Exercises -- 9.9 Recommended further reading -- 10 Agents -- 10.1 Overview -- 10.2 Software agents -- 10.3 Co-operating agents and distributed AI -- 10.4 Summary -- 10.5 Exercises -- 10.6 Recommended further reading -- 11 Models of the mind -- 11.1 Overview -- 11.2 Introduction -- 11.3 What is the human mind? -- 11.4 Production system models -- 11.5 Connectionist models of cognition -- 11.6 Summary -- 11.7 Exercises -- 11.8 Recommended further reading -- 11.9 Notes -- 12 Epilogue: philosophical and sociological issues -- 12.1 Overview -- 12.2 Intelligent machines or engineering tools? -- 12.3 What is intelligence? -- 12.4 Computational argument vs. Searle's Chinese Room -- 12.5 Who is responsible? -- 12.6 Morals and emotions -- 12.7 Social implications -- 12.8 Summary -- 12.9 Recommended further reading -- Bibliography -- Index.
「Nielsen BookData」 より