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Intelligent Computer Mathematics

Overview of attention for book
Cover of 'Intelligent Computer Mathematics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Promising Path Towards Autoformalization and General Artificial Intelligence
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    Chapter 2 Formal Adventures in Convex and Conical Spaces
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    Chapter 3 Towards a Heterogeneous Query Language for Mathematical Knowledge
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    Chapter 4 Leveraging the Information Contained in Theory Presentations
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    Chapter 5 Metamath Zero: Designing a Theorem Prover Prover
  7. Altmetric Badge
    Chapter 6 Adding an Abstraction Barrier to ZF Set Theory
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    Chapter 7 A Framework for Formal Dynamic Dependability Analysis Using HOL Theorem Proving
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    Chapter 8 Induction with Generalization in Superposition Reasoning
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    Chapter 9 A Survey of Languages for Formalizing Mathematics
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    Chapter 10 OntoMath$${}^{Edu}$$: A Linguistically Grounded Educational Mathematical Ontology
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    Chapter 11 FrameIT: Detangling Knowledge Management from Game Design in Serious Games
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    Chapter 12 Formalizing Graph Trail Properties in Isabelle/HOL
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    Chapter 13 Representing Structural Language Features in Formal Meta-languages
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    Chapter 14 Formally Verifying Proofs for Algebraic Identities of Matrices
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    Chapter 15 AutoMSC: Automatic Assignment of Mathematics Subject Classification Labels
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    Chapter 16 Maintaining a Library of Formal Mathematics
  18. Altmetric Badge
    Chapter 17 The Tactician
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    Chapter 18 Tree Neural Networks in HOL4
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    Chapter 19 Interpreting Mathematical Texts in Naproche-SAD
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    Chapter 20 TGView3D: A System for 3-Dimensional Visualization of Theory Graphs
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    Chapter 21 Simple Dataset for Proof Method Recommendation in Isabelle/HOL
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    Chapter 22 Dataset Description: Formalization of Elementary Number Theory in Mizar
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    Chapter 23 Guiding Inferences in Connection Tableau by Recurrent Neural Networks
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    Chapter 24 First Neural Conjecturing Datasets and Experiments
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    Chapter 25 A Contextual and Labeled Math-Dataset Derived from NIST’s DLMF
Attention for Chapter 17: The Tactician
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
8 X users

Citations

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4 Dimensions

Readers on

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2 Mendeley
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Chapter title
The Tactician
Chapter number 17
Book title
Intelligent Computer Mathematics
Published in
arXiv, July 2020
DOI 10.1007/978-3-030-53518-6_17
Book ISBNs
978-3-03-053517-9, 978-3-03-053518-6
Authors

Lasse Blaauwbroek, Josef Urban, Herman Geuvers, Blaauwbroek, Lasse, Urban, Josef, Geuvers, Herman

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 2 100%
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 20 June 2021.
All research outputs
#7,100,695
of 23,221,875 outputs
Outputs from arXiv
#153,620
of 956,548 outputs
Outputs of similar age
#140,220
of 366,191 outputs
Outputs of similar age from arXiv
#5,716
of 34,047 outputs
Altmetric has tracked 23,221,875 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 956,548 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 366,191 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 61% of its contemporaries.
We're also able to compare this research output to 34,047 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.