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The Automation of Reasoning with Incomplete Information

From Semantic Foundations to Efficient Computation

  • Book
  • © 1997

Overview

Authors:
  1. Torsten Schaub
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1409)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (11 chapters)

  1. Front Matter

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  2. Introduction

    Pages 1-10

  3. The original approach: Classical default logic

    Pages 11-21

  4. An alternative approach: Constrained default logic

    Pages 23-32

  5. Putting default logics into perspective

    Pages 33-51

  6. A context-based framework for default logics

    Pages 53-62

  7. Possible worlds semantics for default logics

    Pages 63-74

  8. Adding specificity to default logics

    Pages 75-83

  9. Adding lemma handling to default logics

    Pages 85-91

  10. Query-answering in default logics

    Pages 93-134

  11. A Prolog-technology compiler for query-answering

    Pages 135-142

  12. Conclusions and perspectives

    Pages 143-145

  13. Back Matter

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Keywords

About this book

Reasoning with incomplete information constitutes a major challenge for any intelligent system. In fact, we expect such systems not to become paralyzed by missing information but rather to arrive at plausible results by bridging the gaps in the information available.
A versatile way of reasoning in the absence of information is to reason by default. This book aims at providing formal and practical means for automating reasoning with incomplete information by starting from the approach taken by the framework of default logic. For this endeavor, a bridge is spanned between formal semantics, over systems for default reasoning, to efficient implementation.

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