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Logic for Programming, Artificial Intelligence, and Reasoning

Overview of attention for book
Cover of 'Logic for Programming, Artificial Intelligence, and Reasoning'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Skolemization for Substructural Logics
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    Chapter 2 Reasoning About Embedded Dependencies Using Inclusion Dependencies
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    Chapter 3 Cobra: A Tool for Solving General Deductive Games
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    Chapter 4 On Anti-subsumptive Knowledge Enforcement
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    Chapter 5 Value Sensitivity and Observable Abstract Values for Information Flow Control
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    Chapter 6 SAT-Based Minimization of Deterministic $$\omega $$ -Automata
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    Chapter 7 FEMaLeCoP: Fairly Efficient Machine Learning Connection Prover
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    Chapter 8 Decidability, Introduction Rules and Automata
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    Chapter 9 Analyzing Internet Routing Security Using Model Checking
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    Chapter 10 Boolean Formulas for the Static Identification of Injection Attacks in Java
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    Chapter 11 An Adequate Compositional Encoding of Bigraph Structure in Linear Logic with Subexponentials
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    Chapter 12 Controller Synthesis for MDPs and Frequency LTL $$_{\setminus \mathbf{G}\mathbf U}$$
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    Chapter 13 Automated Benchmarking of Incremental SAT and QBF Solvers
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    Chapter 14 A Labelled Sequent Calculus for Intuitionistic Public Announcement Logic
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    Chapter 15 Implicit Computational Complexity of Subrecursive Definitions and Applications to Cryptographic Proofs
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    Chapter 16 Tip: Tools for inductive provers
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    Chapter 17 Verification of Concurrent Programs Using Trace Abstraction Refinement
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    Chapter 18 Synchronized Recursive Timed Automata
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    Chapter 19 Focused Labeled Proof Systems for Modal Logic
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    Chapter 20 On CTL* with Graded Path Modalities
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    Chapter 21 On Subexponentials, Synthetic Connectives, and Multi-level Delimited Control
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    Chapter 22 On the Expressive Power of Communication Primitives in Parameterised Systems
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    Chapter 23 There Is No Best $$\beta $$ -Normalization Strategy for Higher-Order Reasoners
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    Chapter 24 Fine Grained SMT Proofs for the Theory of Fixed-Width Bit-Vectors
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    Chapter 25 Abstract Domains and Solvers for Sets Reasoning
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    Chapter 26 Sharing HOL4 and HOL Light Proof Knowledge
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    Chapter 27 Relational Reasoning via Probabilistic Coupling
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    Chapter 28 A Contextual Logical Framework
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    Chapter 29 Enhancing Search-Based QBF Solving by Dynamic Blocked Clause Elimination
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    Chapter 30 Reasoning About Loops Using Vampire in KeY
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    Chapter 31 Compositional Propositional Proofs
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    Chapter 32 ELPI: Fast, Embeddable, $$\lambda $$ Prolog Interpreter
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    Chapter 33 Normalisation by Completeness with Heyting Algebras
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    Chapter 34 Using Program Synthesis for Program Analysis
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    Chapter 35 Finding Inconsistencies in Programs with Loops
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    Chapter 36 Modular Multiset Rewriting
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    Chapter 37 Modelling Moral Reasoning and Ethical Responsibility with Logic Programming
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    Chapter 38 Logic for Programming, Artificial Intelligence, and Reasoning
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    Chapter 39 Proof Search in Nested Sequent Calculi
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    Chapter 40 Tableau-Based Revision over $$\mathcal {SHIQ}$$ TBoxes
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    Chapter 41 Gamifying Program Analysis
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    Chapter 42 Automated Discovery of Simulation Between Programs
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    Chapter 43 SAT modulo intuitionistic implications
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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Title
Logic for Programming, Artificial Intelligence, and Reasoning
Published by
Lecture notes in computer science, November 2015
DOI 10.1007/978-3-662-48899-7
ISBNs
978-3-66-248898-0, 978-3-66-248899-7
Authors

Martin Davis, Ansgar Fehnker, Annabelle McIver, Andrei Voronkov, Cox, Arlen, Chang, Bor-Yuh Evan, Li, Huisong, Rival, Xavier, Hannula, Miika

Editors

Voronkov, Andrei, McIver, Annabelle, Fehnker, Ansgar, Davis, Martin

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 August 2023.
All research outputs
#7,402,358
of 24,373,273 outputs
Outputs from Lecture notes in computer science
#2,247
of 8,154 outputs
Outputs of similar age
#109,665
of 395,645 outputs
Outputs of similar age from Lecture notes in computer science
#259
of 503 outputs
Altmetric has tracked 24,373,273 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 395,645 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 503 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.