Ebook: Knowledge Representation and Reasoning Under Uncertainty: Logic at Work

This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence.
Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.

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This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence.
Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.

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This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence.
Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.
Content:
Front Matter....Pages -
The role of expectations in reasoning....Pages 1-16
On logics of approximate reasoning....Pages 17-29
Gentzen sequent calculus for possibilistic reasoning....Pages 31-40
A model of inductive reasoning....Pages 41-56
Automated reasoning with uncertainties....Pages 57-79
An axiomatic approach to systems of prior distributions in inexact reasoning....Pages 81-89
Contradiction removal semantics with explicit negation....Pages 91-105
Logic programming for non-monotonic reasoning....Pages 107-121
Agent oriented programming: An overview of the framework and summary of recent research....Pages 123-129
An application of temporal logic for representation and reasoning about design....Pages 131-145
Knowledge theoretic properties of topological spaces....Pages 147-159
Rough logic for multi-agent systems....Pages 161-181
A logical approach to multi-sources reasoning....Pages 183-196
Situation theory and social structure....Pages 197-237
Back Matter....Pages -

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This volume is based on the International Conference Logic at Work, held in Amsterdam, The Netherlands, in December 1992. The 14 papers in this volume are selected from 86 submissions and 8 invited contributions and are all devoted to knowledge representation and reasoning under uncertainty, which are core issues of formal artificial intelligence.
Nowadays, logic is not any longer mainly associated to mathematical and philosophical problems. The term applied logic has a far wider meaning, as numerous applications of logical methods, particularly in computer science, artificial intelligence, or formal linguistics, testify. As demonstrated also in this volume, a variety of non-standard logics gained increased importance for knowledge representation and reasoning under uncertainty.
Content:
Front Matter....Pages -
The role of expectations in reasoning....Pages 1-16
On logics of approximate reasoning....Pages 17-29
Gentzen sequent calculus for possibilistic reasoning....Pages 31-40
A model of inductive reasoning....Pages 41-56
Automated reasoning with uncertainties....Pages 57-79
An axiomatic approach to systems of prior distributions in inexact reasoning....Pages 81-89
Contradiction removal semantics with explicit negation....Pages 91-105
Logic programming for non-monotonic reasoning....Pages 107-121
Agent oriented programming: An overview of the framework and summary of recent research....Pages 123-129
An application of temporal logic for representation and reasoning about design....Pages 131-145
Knowledge theoretic properties of topological spaces....Pages 147-159
Rough logic for multi-agent systems....Pages 161-181
A logical approach to multi-sources reasoning....Pages 183-196
Situation theory and social structure....Pages 197-237
Back Matter....Pages -
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