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Rational Reasoning with Finite Conditional Knowledge Bases

Theoretical and Implementational Aspects

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  • © 2018

Overview

  • A study bridging computer science, philosophy and psychology

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Table of contents (9 chapters)

Keywords

About this book

Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under information change in cognition. Its building blocks are defeasible rules formalised as DeFinetti conditionals. In this thesis, Christian Eichhorn examines qualitative and semi-quantitative inference relations on top said conditionals, using the conditional structure of the knowledge base and Spohn’s Ordinal Conditional Functions, using established properties. Converting network approaches from probabilistics, he shows how to approach the relations with regard to implementation.

Authors and Affiliations

  • Iserlohn, Germany

    Christian Eichhorn

About the author

The Author
Christian Eichhorn received his doctorate from the Computer Science Department at the Technical University, Dortmund.  His research was supported by the interdisciplinary Priority Programme SPP1516 „New Frameworks of Rationality” of the Deutsche Forschungsgemeinschaft.

Bibliographic Information

  • Book Title: Rational Reasoning with Finite Conditional Knowledge Bases

  • Book Subtitle: Theoretical and Implementational Aspects

  • Authors: Christian Eichhorn

  • DOI: https://doi.org/10.1007/978-3-476-04824-0

  • Publisher: J.B. Metzler Stuttgart

  • eBook Packages: J.B. Metzler Humanities (German Language)

  • Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2018

  • Softcover ISBN: 978-3-476-04823-3Published: 12 January 2019

  • eBook ISBN: 978-3-476-04824-0Published: 28 December 2018

  • Edition Number: 1

  • Number of Pages: XXVIII, 365

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Epistemology, Knowledge based Systems, Logic in AI

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