Knowledge Representation and Reasoning Under Uncertainty: Logic at Work

Pirmais vāks
Springer Science & Business Media, 1994. gada 28. jūn. - 237 lappuses
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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Saturs

The Role of Expectations in Reasoning
1
On Logics of Approximate Reasoning
17
Gentzen Sequent Calculus for Possibilistic Reasoning
31
Automated Reasoning with Uncertainties
57
An Axiomatic Approach to Systems of Prior Distributions
81
Logic Programming for NonMonotonic Reasoning
107
Agent Oriented Programming
123
Knowledge Theoretic Properties of Topological Spaces
147
Rough Logic for MultiAgent Systems
161
A Logical Approach to MultiSources Reasoning
183
Situation Theory and Social Structure
197
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