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J. Michael Dunn on Information Based Logics

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Cover of 'J. Michael Dunn on Information Based Logics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: From Information at Large to Semantics of Logics
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    Chapter 2 $$\mathbf {RM}$$ RM and its Nice Properties
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    Chapter 3 Wedge Sum, Merge and Inconsistency
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    Chapter 4 Single Axioms and Axiom-Pairs for the Implicational Fragments of $$\mathbf {R}$$ R , R-Mingle , and Some Related Systems
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    Chapter 5 LC and Its Pretabular Relatives
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    Chapter 6 The Story of $$\gamma $$ γ
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    Chapter 7 Manipulating Sources of Information: Towards an Interpretation of Linear Logic and Strong Relevance Logic
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    Chapter 8 Epistemic Relevance and Epistemic Actions
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    Chapter 9 Comparing Contents with Information
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    Chapter 10 On Split Negation, Strong Negation, Information, Falsification, and Verification
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    Chapter 11 Truth, Falsehood, Information and Beyond: The American Plan Generalized
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    Chapter 12 Logical Foundations of Evidential Reasoning with Contradictory Information
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    Chapter 13 Probabilistic Interpretations of Predicates
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    Chapter 14 Reasoning with Incomplete Information in Generalized Galois Logics Without Distribution: The Case of Negation and Modal Operators
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    Chapter 15 Mereocompactness and Duality for Mereotopological Spaces
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    Chapter 16 Distributed Modal Logic
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    Chapter 17 Tracking Information
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    Chapter 18 Syllogistic Logic with Cardinality Comparisons
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    Chapter 19 A “Reply” to My “Critics”
Attention for Chapter 16: Distributed Modal Logic
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Chapter title
Distributed Modal Logic
Chapter number 16
Book title
J. Michael Dunn on Information Based Logics
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-29300-4_16
Book ISBNs
978-3-31-929298-4, 978-3-31-929300-4
Authors

Gerard Allwein, William L. Harrison

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 %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%