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Artificial Intelligence and Symbolic Computation

Overview of attention for book
Cover of 'Artificial Intelligence and Symbolic Computation'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Proving and Computing: Applying Automated Reasoning to the Verification of Symbolic Computation Systems (Invited Talk)
  3. Altmetric Badge
    Chapter 2 Combining Systems for Mathematical Creativity (Invited Talk)
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    Chapter 3 Models for logics and conditional constraints in automated proofs of termination
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    Chapter 4 Using Representation Theorems for Proving Polynomials Non-negative
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    Chapter 5 A Rule–Based Expert System for Vaginal Cytology Diagnosis
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    Chapter 6 Obtaining an ACL2 Specification from an Isabelle/HOL Theory
  8. Altmetric Badge
    Chapter 7 A Direct Propagation Method in Singly Connected Causal Belief Networks with Conditional Distributions for all Causes
  9. Altmetric Badge
    Chapter 8 From Declarative Set Constraint Models to “Good” SAT Instances
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    Chapter 9 A Mathematical Hierarchy of Sudoku Puzzles and Its Computation by Boolean Gröbner Bases
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    Chapter 10 A Simple GUI for Developing Applications That Use Mathematical Software Systems
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    Chapter 11 Conformant Planning as a Case Study of Incremental QBF Solving
  13. Altmetric Badge
    Chapter 12 Dynamic Symmetry Breaking in Itemset Mining
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    Chapter 13 A Distance-Based Decision in the Credal Level
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    Chapter 14 Multivalued Elementary Functions in Computer-Algebra Systems
  16. Altmetric Badge
    Chapter 15 Rational Conchoid and Offset Constructions: Algorithms and Implementation
  17. Altmetric Badge
    Chapter 16 Algorithmic Aspects of Theory Blending
  18. Altmetric Badge
    Chapter 17 Decomposition of Some Jacobian Varieties of Dimension 3
Attention for Chapter 4: Using Representation Theorems for Proving Polynomials Non-negative
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Chapter title
Using Representation Theorems for Proving Polynomials Non-negative
Chapter number 4
Book title
Artificial Intelligence and Symbolic Computation
Published in
Lecture notes in computer science, December 2014
DOI 10.1007/978-3-319-13770-4_4
Book ISBNs
978-3-31-913769-8, 978-3-31-913770-4
Authors

Lucas Alba, Salvador, Salvador Lucas, Lucas, Salvador

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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 67%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Earth and Planetary Sciences 1 33%
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 05 June 2015.
All research outputs
#20,276,249
of 22,808,725 outputs
Outputs from Lecture notes in computer science
#6,985
of 8,124 outputs
Outputs of similar age
#302,852
of 361,582 outputs
Outputs of similar age from Lecture notes in computer science
#271
of 313 outputs
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So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 313 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.