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David Makinson on Classical Methods for Non-Classical Problems

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Cover of 'David Makinson on Classical Methods for Non-Classical Problems'

Table of Contents

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    Book Overview
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    Chapter 1 Preview
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    Chapter 2 David Makinson and the Extension of Classical Logic
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    Chapter 3 A Tale of Five Cities
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    Chapter 4 Safe Contraction Revisited
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    Chapter 5 A Panorama of Iterated Revision
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    Chapter 6 AGM, Ranking Theory, and the Many Ways to Cope with Examples
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    Chapter 7 Liars, Lotteries, and Prefaces: Two Paraconsistent Accounts of Belief Change
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    Chapter 8 Epistemic Reasoning in Life and Literature
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    Chapter 9 New Horn Rules for Probabilistic Consequence: Is $$\mathrm{O}{+}$$ O + Enough?
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    Chapter 10 Non-Monotonic Logic: Preferential Versus Algebraic Semantics
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    Chapter 11 Towards a Bayesian Theory of Second-Order Uncertainty: Lessons from Non-Standard Logics
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    Chapter 12 Abstract Interfaces of Input/Output Logic
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    Chapter 13 Intuitionistic Basis for Input/Output Logic
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    Chapter 14 Reasoning About Permission and Obligation
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    Chapter 15 Norm Change in the Common Law
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    Chapter 16 Intelim Rules for Classical Connectives
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    Chapter 17 Relevance Logic as a Conservative Extension of Classical Logic
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    Chapter 18 Reflections on the Contributions
Attention for Chapter 12: Abstract Interfaces of Input/Output Logic
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Citations

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Chapter title
Abstract Interfaces of Input/Output Logic
Chapter number 12
Book title
David Makinson on Classical Methods for Non-Classical Problems
Published by
Springer, Dordrecht, January 2014
DOI 10.1007/978-94-007-7759-0_12
Book ISBNs
978-9-40-077758-3, 978-9-40-077759-0
Authors

Audun Stolpe

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 100%
Lecturer > Senior Lecturer 1 100%
Readers by discipline Count As %
Nursing and Health Professions 1 100%
Computer Science 1 100%

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