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Artificial Intelligence and Symbolic Computation

13th International Conference, AISC 2018, Suzhou, China, September 16–19, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Jacques Fleuriot

    1. University of Edinburgh, Edinburgh, United Kingdom

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  2. Dongming Wang

    1. Beihang University, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Jacques Calmet

    1. Karlsruhe Institute of Technology, Karlsruhe, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11110)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: AISC 2018.

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Table of contents (20 papers)

  1. Front Matter

    Pages I-X
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  2. Invited Presentations

    1. Front Matter

      Pages 1-1
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    2. Automated Reasoning in the Age of the Internet

      • Alan Bundy, Kwabena Nuamah, Christopher Lucas
      Pages 3-18

    3. Methodologies of Symbolic Computation

      • James Davenport
      Pages 19-33

  3. Artificial Intelligence, Theorem Proving and SAT Solving

    1. Front Matter

      Pages 35-35
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    2. A Formal Proof of the Computation of Hermite Normal Form in a General Setting

      • Jose Divasón, Jesús Aransay
      Pages 37-53

    3. Formalizing Some “Small” Finite Models of Projective Geometry in Coq

      • David Braun, Nicolas Magaud, Pascal Schreck
      Pages 54-69

    4. Into the Infinite - Theory Exploration for Coinduction

      • Sólrún Halla Einarsdóttir, Moa Johansson, Johannes Åman Pohjola
      Pages 70-86

    5. Machine Learning for Inductive Theorem Proving

      • Yaqing Jiang, Petros Papapanagiotou, Jacques Fleuriot
      Pages 87-103

    6. FMUS2: An Efficient Algorithm to Compute Minimal Unsatisfiable Subsets

      • Shaofan Liu, Jie Luo
      Pages 104-118

    7. Deciding Extended Modal Logics by Combining State Space Generation and SAT Solving

      • Martin Strecker
      Pages 119-135

  4. Symbolic and Numerical Computation

    1. Front Matter

      Pages 137-137
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    2. What Does Qualitative Spatial Knowledge Tell About Origami Geometric Folds?

      • Fadoua Ghourabi, Kazuko Takahashi
      Pages 139-154

    3. Discovering Geometry Theorems in Regular Polygons

      • Zoltán Kovács
      Pages 155-169

    4. Revealing Bistability in Neurological Disorder Models By Solving Parametric Polynomial Systems Geometrically

      • Changbo Chen, Wenyuan Wu
      Pages 170-180

    5. Early Ending in Homotopy Path-Tracking for Real Roots

      • Yu Wang, Wenyuan Wu, Bican Xia
      Pages 181-194

    6. Autocorrelation via Runs

      • Ilias S. Kotsireas, Jing Yang
      Pages 195-205

  5. Intelligent Documents and Collective Intelligence

    1. Front Matter

      Pages 207-207
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    2. : A Linear Algebra Textbook System

      • Xiaoyu Chen, Haotian Shuai, Dongming Wang, Jing Yang
      Pages 209-214

    3. Towards an Automated Geometer

      • Francisco Botana, Zoltán Kovács, Tomás Recio
      Pages 215-220
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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2018, held in Suzhou, China, in September 2018.

The 13 full papers presented together with 5 short and 2 invited papers were carefully reviewed and selected from 31 submissions. The AISC conference is an important forum when it comes to ensuring that ideas, theoretical insights, methods and results from traditional AI can be discussed and showcased, while fostering new links with other areas of AI such as probabilistic reasoning and deep learning.

 

Editors and Affiliations

  • University of Edinburgh, Edinburgh, United Kingdom

    Jacques Fleuriot

  • Beihang University, Beijing, China

    Dongming Wang

  • Karlsruhe Institute of Technology, Karlsruhe, Germany

    Jacques Calmet

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