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Logic for Programming, Artificial Intelligence, and Reasoning

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Cover of 'Logic for Programming, Artificial Intelligence, and Reasoning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The TPTP World – Infrastructure for Automated Reasoning
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    Chapter 2 Speed-Up Techniques for Negation in Grounding
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    Chapter 3 Constraint-Based Abstract Semantics for Temporal Logic: A Direct Approach to Design and Implementation
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    Chapter 4 On the Equality of Probabilistic Terms
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    Chapter 5 Program Logics for Homogeneous Meta-programming
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    Chapter 6 Verifying Pointer and String Analyses with Region Type Systems
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    Chapter 7 ABC: Algebraic Bound Computation for Loops
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    Chapter 8 Hardness of Preorder Checking for Basic Formalisms
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    Chapter 9 Quasipolynomial Normalisation in Deep Inference via Atomic Flows and Threshold Formulae
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    Chapter 10 Pairwise Cardinality Networks
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    Chapter 11 Logic and Computation in a Lambda Calculus with Intersection and Union Types
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    Chapter 12 Graded Alternating-Time Temporal Logic
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    Chapter 13 Non-oblivious Strategy Improvement
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    Chapter 14 A Simple Class of Kripke-Style Models in Which Logic and Computation Have Equal Standing
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    Chapter 15 Label-Free Proof Systems for Intuitionistic Modal Logic IS5
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    Chapter 16 An Intuitionistic Epistemic Logic for Sequential Consistency on Shared Memory
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    Chapter 17 Disunification for Ultimately Periodic Interpretations
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    Chapter 18 Synthesis of Trigger Properties
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    Chapter 19 Semiring-Induced Propositional Logic: Definition and Basic Algorithms
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    Chapter 20 Dafny: An Automatic Program Verifier for Functional Correctness
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    Chapter 21 Relentful Strategic Reasoning in Alternating-Time Temporal Logic
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    Chapter 22 Counting and Enumeration Problems with Bounded Treewidth
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    Chapter 23 The Nullness Analyser of julia
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    Chapter 24 Qex: Symbolic SQL Query Explorer
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    Chapter 25 Automated Proof Compression by Invention of New Definitions
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    Chapter 26 Atomic Cut Introduction by Resolution: Proof Structuring and Compression
  28. Altmetric Badge
    Chapter 27 Satisfiability of Non-linear (Ir)rational Arithmetic
  29. Altmetric Badge
    Chapter 28 Coping with Selfish On-Going Behaviors
Attention for Chapter 9: Quasipolynomial Normalisation in Deep Inference via Atomic Flows and Threshold Formulae
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Chapter title
Quasipolynomial Normalisation in Deep Inference via Atomic Flows and Threshold Formulae
Chapter number 9
Book title
Logic for Programming, Artificial Intelligence, and Reasoning
Published in
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-17511-4_9
Book ISBNs
978-3-64-217510-7, 978-3-64-217511-4
Authors

Paola Bruscoli, Alessio Guglielmi, Tom Gundersen, Michel Parigot

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Bachelor 1 25%
Researcher 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 3 75%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2016.
All research outputs
#20,310,658
of 22,851,489 outputs
Outputs from Lecture notes in computer science
#6,988
of 8,126 outputs
Outputs of similar age
#157,130
of 164,061 outputs
Outputs of similar age from Lecture notes in computer science
#157
of 188 outputs
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We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.