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Rational Reasoning with Finite Conditional Knowledge Bases

Christian Eichhorn
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      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.
      Format: Paperback / softback CONTRIBUTORS: Christian Eichhorn EAN: 9783476048233 COUNTRY: Germany PAGES: WEIGHT: 516 g HEIGHT: 210 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2019-01-12 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Expert Systems, PHILOSOPHY / Epistemology WIDTH: 148 cm SPINE:

      Book Themes:

      Philosophy: epistemology and theory of knowledge, Artificial intelligence, Expert systems / knowledge-based systems

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      The AuthorChristian 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.
      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.
      Format: Paperback / softback CONTRIBUTORS: Christian Eichhorn EAN: 9783476048233 COUNTRY: Germany PAGES: WEIGHT: 516 g HEIGHT: 210 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2019-01-12 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Expert Systems, PHILOSOPHY / Epistemology WIDTH: 148 cm SPINE:

      Book Themes:

      Philosophy: epistemology and theory of knowledge, Artificial intelligence, Expert systems / knowledge-based systems

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      The AuthorChristian 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.

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