Logic-Based Artificial Intelligence

Logic-Based Artificial Intelligence edited by Jack Minker.

The use of mathematical logic as a formalism for artificial intelligence was recognized by John McCarthy in 1959 in his paper on Programs with Common Sense. In a series of papers in the 1960's he expanded upon these ideas and continues to do so to this date. It is now 41 years since the idea of...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Minker, Jack (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2000.
Edition:1st ed. 2000.
Series:The Springer International Series in Engineering and Computer Science, 597
Springer eBook Collection.
Subjects:
Artificial intelligence.
Computer science.
Logic.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I Introduction to Logic-Based Artificial Intelligence
  • 1 Introduction to Logic-Based Artificial Intelligence
  • II Commonsense Reasoning
  • 2 Concepts of Logical AI
  • III Knowledge Representation
  • 3 Two Approaches to Efficient Open-World Reasoning
  • 4 Declarative Problem-Solving in DLV
  • IV Nonmonotonic Reasoning
  • 5 The Role of Default Logic in Knowledge Representation
  • 6 Approximations, stable operators, well-founded fixpoints and applications in nonmonotonic reasoning
  • V Logic for Causation and Actions
  • 7 Getting to the Airport: The Oldest Planning Problem in AI
  • VI Planning and Problem Solving
  • 8 Encoding Domain Knowledge for Propositional Planning
  • 9 Functional Strips
  • VII Logic, Planning and High Level Robotics
  • 10 Planning with Natural Actions in the Situation Calculus
  • 11 Reinventing Shakey
  • VIII Logic for Agents and Actions
  • 12 Reasoning Agents in Dynamic Domains
  • 13 Dynamic Logic for Reasoning about Actions and Agents
  • IX Inductive Reasoning
  • 14 Logic-Based Machine Learning
  • X Possibilistic Logic
  • 15 Decision, Nonmonotonic Reasoning, Possibilistic Logic
  • XI Logic and Beliefs
  • 16 The Role(s) of Belief in AI
  • 17 Modeling the Beliefs of Other Agents
  • XII Logic and Language
  • 18 The Situations We Talk about
  • XIII Computational Logic
  • 19 Linear Time Datalog and Branching Time Logic
  • 20 On the Expressive Power of Planning Formalisms
  • XIV Knowledge Base System Implementations
  • 21 Extending the Smodels System with Cardinality and Weight Constraints
  • 22 Nonmonotonic Reasoning in???
  • XV Applications of Theorem Proving and Logic Programming
  • 23 Towards a Mechanically Checked Theory of Computation
  • 24 Logic-Based Techniques in Data Integration.

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