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Belief Revision in Non-Classical Logics / by Márcio Moretto Ribeiro.
- Format:
- Book
- Author/Creator:
- Ribeiro, Márcio Moretto, author.
- Series:
- Computer Science (Springer-11645)
- SpringerBriefs in computer science 2191-5768
- SpringerBriefs in Computer Science, 2191-5768
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Logic, Symbolic and mathematical.
- Knowledge, Theory of.
- Logic.
- Ontology.
- Artificial Intelligence.
- Mathematical Logic and Formal Languages.
- Mathematical Logic and Foundations.
- Epistemology.
- Local Subjects:
- Artificial Intelligence.
- Mathematical Logic and Formal Languages.
- Mathematical Logic and Foundations.
- Epistemology.
- Logic.
- Ontology.
- Physical Description:
- 1 online resource (XI, 120 pages) : 5 illustrations.
- Edition:
- First edition 2013.
- Contained In:
- Springer eBooks
- Place of Publication:
- London : Springer London : Imprint: Springer, 2013.
- System Details:
- text file PDF
- Summary:
- Since the advent of the Semantic Web, interest in the dynamics of ontologies (ontology evolution) has grown significantly. Belief revision presents a good theoretical framework for dealing with this problem; however, classical belief revision is not well suited for logics such as Description Logics. Belief Revision in Non-Classical Logics presents a framework which can be applied to a wide class of logics that include - besides most Description Logics such as the ones behind OWL - Horn Logic and Intuitionistic logic, amongst others. The author also presents algorithms for the most important constructions in belief bases. Researchers and practitioners in theoretical computing will find this an invaluable resource.
- Contents:
- Preface
- Introduction
- Consequence
- Logics
- Classical Belief Revision
- AGM Contraction in Non-Classical Logics
- AGM Revision in Logics without Negation
- Base Revision in Logics without Negation
- Algorithms for Belief Bases
- Conclusion
- Index.
- Other Format:
- Printed edition:
- ISBN:
- 978-1-4471-4186-0
- 9781447141860
- Access Restriction:
- Restricted for use by site license.
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