Fr. 70.00

Rational Reasoning with Finite Conditional Knowledge Bases - Theoretical and Implementational Aspects

English · Paperback / Softback

Shipping usually within 6 to 7 weeks

Description

Read more

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.

List of contents

ContentsProperties of Nonmonotonic Reasoning.- Reasoning with Sets of c-Representations.- Network Approaches to Ordinal Conditional Functions.- Formal Inferences and Commonsense Reasoning: Connections to Psychology and Cognition.

About the author

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.

Summary

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.

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.