Logical foundations of artificial intelligence

著者

• Genesereth, Michael R.
• Nilsson, Nils J.

書誌事項

Logical foundations of artificial intelligence

Michael R. Genesereth and Nils J. Nilsson

Morgan Kaufmann, c1987

注記

Bibliography: p. 363-400

Includes index

内容説明・目次

内容説明

Intended both as a text for advanced undergraduates and graduate students, and as a key reference work for AI researchers and developers, Logical Foundations of Artificial Intelligence is a lucid, rigorous, and comprehensive account of the fundamentals of artificial intelligence from the standpoint of logic. The first section of the book introduces the logicist approach to AI--discussing the representation of declarative knowledge and featuring an introduction to the process of conceptualization, the syntax and semantics of predicate calculus, and the basics of other declarative representations such as frames and semantic nets. This section also provides a simple but powerful inference procedure, resolution, and shows how it can be used in a reasoning system. The next several chapters discuss nonmonotonic reasoning, induction, and reasoning under uncertainty, broadening the logical approach to deal with the inadequacies of strict logical deduction. The third section introduces modal operators that facilitate representing and reasoning about knowledge. This section also develops the process of writing predicate calculus sentences to the metalevel--to permit sentences about sentences and about reasoning processes. The final three chapters discuss the representation of knowledge about states and actions, planning, and intelligent system architecture. End-of-chapter bibliographic and historical comments provide background and point to other works of interest and research. Each chapter also contains numerous student exercises (with solutions provided in an appendix) to reinforce concepts and challenge the learner. A bibliography and index complete this comprehensive work.

目次

1 Introduction 2 Declarative Knowledge 3 Inference 4 Resolution 5 Resolution Strategies 6 Nonmonotonic Reasoning 7 Induction 8 Reasoning with Uncertain Beliefs 9 Knowledge and Belief 10 Metaknowledge and Metareasoning 11 State and Change 12 Planning 13 Intelligent-Agent Architecture Answers to Exercises

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA00810412
• ISBN:
  • 0934613311
• LCCN: 87005461
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Los Altos, Calif.
• ページ数/冊数: xviii, 405 p.
• 大きさ: 24 cm
• 分類:
  • LCC : Q335
  • DC19 : 006.3
• 件名:
  • LCSH : Artificial intelligence