Book contents
- Frontmatter
- Contents
- Preface
- Summary and plan of the book
- Introduction
- 1 Logic on the Underground
- 2 The psychology of logic
- 3 The fox and the crow
- 4 Search
- 5 Negation as failure
- 6 How to become a British Citizen
- 7 The louse and the Mars explorer
- 8 Maintenance goals as the driving force of life
- 9 The meaning of life
- 10 Abduction
- 11 The Prisoner’s Dilemma
- 12 Motivations matter
- 13 The changing world
- 14 Logic and objects
- 15 Biconditionals
- 16 Computational Logic and the selection task
- 17 Meta-logic
- Conclusions of the book
- A1 The syntax of logical form
- A2 Truth
- A3 Forward and backward reasoning
- A4 Minimal models and negation
- A5 The resolution rule
- A6 The logic of abductive logic programming
- References
- Index
A6 - The logic of abductive logic programming
Published online by Cambridge University Press: 07 September 2011
- Frontmatter
- Contents
- Preface
- Summary and plan of the book
- Introduction
- 1 Logic on the Underground
- 2 The psychology of logic
- 3 The fox and the crow
- 4 Search
- 5 Negation as failure
- 6 How to become a British Citizen
- 7 The louse and the Mars explorer
- 8 Maintenance goals as the driving force of life
- 9 The meaning of life
- 10 Abduction
- 11 The Prisoner’s Dilemma
- 12 Motivations matter
- 13 The changing world
- 14 Logic and objects
- 15 Biconditionals
- 16 Computational Logic and the selection task
- 17 Meta-logic
- Conclusions of the book
- A1 The syntax of logical form
- A2 Truth
- A3 Forward and backward reasoning
- A4 Minimal models and negation
- A5 The resolution rule
- A6 The logic of abductive logic programming
- References
- Index
Summary
This additional chapter provides the technical support for abductive logic programming (ALP), which is the basis of the Computational Logic used in this book. ALP uses abduction, not only to explain observations, but to generate plans of action.
ALP extends ordinary logic programming by combining the closed predicates of logic programming, which are defined by clauses, with open predicates, which are constrained directly or indirectly by integrity constraints represented in a variant of classical logic. Integrity constraints in ALP include as special cases the functionalities of condition–action rules, maintenance goals and constraints.
- Type
- Chapter
- Information
- Computational Logic and Human ThinkingHow to Be Artificially Intelligent, pp. 280 - 295Publisher: Cambridge University PressPrint publication year: 2011
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