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Nonmonotonic and Inductive Logic Second International Workshop, Reinhardsbrunn Castle, Germany, December 2-6, 1991. Proceedings

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Beschreibung

This proceedings volume contains a selection of revised andextended papers presented at the Second InternationalWorkshop on Nonmonotonic and InductiveLogic, NIL '91, whichtook place at Reinhardsbrunn Castle, December 2-6, 1991.The volume opens with an extended version of a tutorial onnonmonotonic logic...

Beschreibung

This proceedings volume contains a selection of revised andextended papers presented at the Second InternationalWorkshop on Nonmonotonic and InductiveLogic, NIL '91, whichtook place at Reinhardsbrunn Castle, December 2-6, 1991.The volume opens with an extended version of a tutorial onnonmonotonic logic by G. Brewka, J. Dix, and K. Konolige.Fifteen selected papers follow, on a variety of topics. Themajority of papers belong either to the area of nonmonotonicreasoning or to the field of inductive inference, butsome papers integrate research from both areas.The first workshop in this series was held at the Universityof Karlsruhe in December 1990 and its proceedings werepublished as Lecture Notes in Artificial Intelligence Volume543. The series of workshops was made possible by financialsupport from Volkswagen Stiftung, Hannover. This workshopwas also supported by IBM Deutschland GmbH and Siemens AG.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.02.1993

Abbildungen

X, 338 p.

Herausgeber Gerhard Brewka + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.02.1993

Abbildungen

X, 338 p.

Herausgeber
Verlag Springer Berlin
Seitenzahl

338

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

528 g

Auflage

1993

Sprache

Englisch

ISBN

978-3-540-56433-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Nonmonotonic and Inductive Logic
  • Produktbild: Nonmonotonic and Inductive Logic
  • A tutorial on Nonmonotonic Reasoning.- On the sample complexity of various learning strategies in the probabilistic PAC learning paradigms.- More about learning elementary formal systems.- A polynomial time algorithm for finding finite unions of tree pattern languages.- Towards efficient inductive synthesis: Rapid construction of local regularities.- Deductive generalization in a default logic setting.- Deduction with supernormal defaults.- Multi-agent learning: Theoretical and empirical studies.- Predicate synthesis from formal specifications: Using mathematical induction for finding the preconditions of theorems.- Dual types of hypotheses in inductive inference.- All I know about Tweety.- Monotonic versus non-monotonic language learning.- Normal form results for default logic.- Retrieval in case-based reasoning using preferred subtheories.- Interactive synthesis of process flowcharts.- Probabilistic inference of approximations.