Book:Michael R. Genesereth/Logical Foundations of Artificial Intelligence
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Michael R. Genesereth and Nils J. Nilsson: Logical Foundations of Artificial Intelligence
Published $\text {1987}$, Morgan Kaufman
- ISBN 0-934613-31-1
Subject Matter
Contents
- Acknowledgments
- Preface
- Typographical Conventions
- 1 Introduction
- 1.1 Bibliographical and Historical Remarks
- Exercises
- 2 Declarative Knowledge
- 2.1 Conceptualisation
- 2.2 Predicate Calculus
- 2.3 Semantics
- 2.4 Blocks World Example
- 2.5 Circuits Example
- 2.6 Algebraic Examples
- 2.7 List Examples
- 2.8 Natural-Language Examples
- 2.9 Specialized Languages
- 2.10 Bibliographical and Historical Remarks
- Exercises
- 3 Inference
- 3.1 Derivability
- 3.2 Inference Procedures
- 3.3 Logical Implication
- 3.4 Provability
- 3.5 Proving Provability
- 3.6 Bibliographical and Historical Remarks
- Exercises
- 4 Resolution
- 4.1 Clausal Form
- 4.2 Unification
- 4.3 Resolution Principle
- 4.4 Resolution
- 4.5 Unsatisfiability
- 4.6 True-or-False Questions
- 4.7 Fill-in-the-Blank Questions
- 4.8 Circuits Example
- 4.9 Mathematics Example
- 4.10 Soundness and Completeness
- 4.11 Resolution and Equality
- 4.12 Bibliographical and Historical Remarks
- Exercises
- 5 Resolution Strategies
- 5.1 Deletion strategies
- 5.2 Unit Resolution
- 5.3 Input Resolution
- 5-4 Linear Resolution
- 5.5 Set of Support Resolution
- 5.6 Ordered Resolution
- 5.7 Directed Resolution
- 5.8 Sequential Constraint Satisfaction
- 5.9 Bibliographical and Historical Remarks
- Exercises
- 6 Nonmonotonic Reasoning
- 6.1 The Closed-World Assumption
- 6.2 Predicate Completion
- 6.3 Taxonomic Hierarchies and Default Reasoning
- 6.4 Circumscription
- 6.5 More General Forms of Circumscription
- 6.6 Default Theories
- 6.7 Bibliographical and Historical Remarks
- Exercises
- 7 Induction
- 7.1 Induction
- 7.2 Concept Formation
- 7.3 Experiment Generation
- 7.4 Bibliographical and Historical Remarks
- Exercises
- 8 Reasoning with Uncertain Beliefs
- 8.1 Probabilities of Sentences
- 8.2 Using Bayes' Rule in Uncertain Reasoning
- 8.3 Uncertain Reasoning in Expert Systems
- 8.4 Probabilistic Logic
- 8.5 Probabilistic Entailment
- 8.6 Computations Appropriate for Small Matrices
- 8.7 Dealing with Large Matrices
- 8.8 Probabilities Conditioned on Specific Information
- 8.9 Bibliographical and Historical Remarks
- Exercises
- 9 Knowledge and Belief
- 9.1 Preliminaries
- 9.2 Sentential Logics of Belief
- 9.3 Proof Methods
- 9.4 Nested Beliefs
- 9.5 Quantifying-In
- 9.6 Proof Methods for Quantified Beliefs
- 9.7 Knowing What Something Is
- 9.8 Possible-Worlds Logics
- 9.9 Properties of Knowledge
- 9.10 Properties of Belief
- 9.11 Group Knowledge
- 9.12 Equality, Quantification, and Knowledge
- 9.13 Bibliographical and Historical Remarks
- Exercises
- 10 Metaknowledge and Metareasoning
- 10.1 Metalanguage
- 10.2 Clausal Form
- 10.3 Resolution Principle
- 10.4 Inference Procedures
- 10.5 Derivability and Belief
- 10.6 Metalevel Reasoning
- 10.7 Bilevel Reasoning
- 10.8 Reflection*
- 10.9 Bibliographical and Historical Remarks
- Exercises
- 11 State and Change
- 11.1 States
- 11.2 Actions
- 11.3 The Frame Problem
- 11.4 Action Ordering
- 11.5 Conditionality
- 11.6 Bibliographical and Historical Remarks
- Exercises
- 12 Planning
- 12.1 Initial State
- 12.2 Goals
- 12.3 Actions
- 12.4 Plans
- 12.5 Green's Method
- 12.6 Action Blocks
- 12.7 Conditional Plans
- 12.8 Planning Direction
- 12.9 Unachievability Pruning
- 12.10 State Alignment
- 12.11 Frame-Axiom Suppression
- 12.12 Goal Regression
- 12.13 State differences
- 12.14 Bibliographical and Historical Remarks
- Exercises
- 13 Intelligent-Agent Architecture
- 13.1 Tropistic Agents
- 13.2 Hysteretic Agents
- 13.3 Knowledge-Level Agents
- 13.4 Stepped Knowledge-Level Agents
- 13.5 Fidelity*
- 13.6 Deliberate Agents*
- 13.7 Bibliographical and Historical Remarks
- Exercises
- Answers to Exercises
- A.1 Introduction
- A.2 Declarative Knowledge
- A.3 Inference
- A.4 Resolution
- A.5 Resolution Strategies
- A.6 Nonmonotonic Reasoning
- A.7 Induction
- A.8 Reasoning with Uncertain Beliefs
- A.9 Knowledge and Belief
- A.10 Metaknowledge and Metareasoning
- A.11 State and Change
- A.12 Planning
- A.13 Intelligent-Agent Architecture
- References
- Index
Source work progress
- 1987: Michael R. Genesereth and Nils J. Nilsson: Logical Foundations of Artificial Intelligence ... (next): Chapter $1$: Introduction