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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

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    Book Overview
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    Chapter 1 Automatic Inference of Resource Consumption Bounds
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    Chapter 2 Matrix Interpretations for Polynomial Derivational Complexity of Rewrite Systems
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    Chapter 3 Parameterized Complexity and Fixed-Parameter Tractability of Description Logic Reasoning
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    Chapter 4 Enfragmo: A System for Modelling and Solving Search Problems with Logic
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    Chapter 5 Logic for Programming, Artificial Intelligence, and Reasoning
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    Chapter 6 Automated and Human Proofs in General Mathematics: An Initial Comparison
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    Chapter 7 Lazy Abstraction with Interpolants for Arrays
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    Chapter 8 Backward Trace Slicing for Conditional Rewrite Theories
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    Chapter 9 Forgetting for Defeasible Logic
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    Chapter 10 Querying Proofs
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    Chapter 11 Solving Language Equations and Disequations with Applications to Disunification in Description Logics and Monadic Set Constraints
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    Chapter 12 Dual-Priced Modal Transition Systems with Time Durations
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    Chapter 13 Finding Finite Herbrand Models
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    Chapter 14 Smart Testing of Functional Programs in Isabelle
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    Chapter 15 Monitor-Based Statistical Model Checking for Weighted Metric Temporal Logic
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    Chapter 16 Duality between Merging Operators and Social Contraction Operators
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    Chapter 17 Automatic Generation of Invariants for Circular Derivations in SUP(LA)
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    Chapter 18 Moral Reasoning under Uncertainty
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    Chapter 19 Logic for Programming, Artificial Intelligence, and Reasoning
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    Chapter 20 Conflict Anticipation in the Search for Graph Automorphisms
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    Chapter 21 Confluence of Non-Left-Linear TRSs via Relative Termination
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    Chapter 22 Regular Expressions for Data Words
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    Chapter 23 Automatic Verification of TLA  +  Proof Obligations with SMT Solvers
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    Chapter 24 An Asymptotically Correct Finite Path Semantics for LTL
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    Chapter 25 On the Domain and Dimension Hierarchy of Matrix Interpretations
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    Chapter 26 iSat: Structure Visualization for SAT Problems
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    Chapter 27 Linear Constraints over Infinite Trees
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    Chapter 28 E-Matching with Free Variables
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    Chapter 29 Random: R-Based Analyzer for Numerical Domains
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    Chapter 30 Solving Graded/Probabilistic Modal Logic via Linear Inequalities (System Description)
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    Chapter 31 Labelled Superposition for PLTL
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    Chapter 32 The TPTP Typed First-Order Form with Arithmetic
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    Chapter 33 Ordinals and Knuth-Bendix Orders
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    Chapter 34 Logic for Programming, Artificial Intelligence, and Reasoning
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Logic for Programming, Artificial Intelligence, and Reasoning
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-28717-6
ISBNs
978-3-64-228716-9, 978-3-64-228717-6
Authors

Nikolaj Bjørner, Andrei Voronkov, Libkin, Leonid, Vrgoč, Domagoj

Editors

Bjørner, Nikolaj, Voronkov, Andrei, Bjørner, Nikolaj, Voronkov, Andrei

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 5%
Student > Bachelor 1 3%
Other 1 3%
Professor > Associate Professor 1 3%
Unspecified 1 3%
Other 0 0%
Unknown 33 85%
Readers by discipline Count As %
Computer Science 3 8%
Unspecified 2 5%
Engineering 1 3%
Unknown 33 85%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 December 2014.
All research outputs
#6,025,195
of 18,585,396 outputs
Outputs from Lecture notes in computer science
#2,323
of 7,803 outputs
Outputs of similar age
#93,108
of 272,779 outputs
Outputs of similar age from Lecture notes in computer science
#41
of 195 outputs
Altmetric has tracked 18,585,396 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,803 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 56% 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 272,779 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 60% of its contemporaries.
We're also able to compare this research output to 195 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.