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Artificial Intelligence and Symbolic Computation

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

  • Jacques Fleuriot
  • Dongming Wang
  • Jacques Calmet
Conference proceedings AISC 2018

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11110)

Table of contents

  1. Front Matter
    Pages I-X
    PDF

  2. Invited Presentations

    1. Front Matter
      Pages 1-1
      PDF
    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
      PDF
    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
      PDF
    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
      PDF
    2. Open image in new window: 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
    4. Automatic Deduction in an AI Geometry Book
      Pedro Quaresma
      Pages 221-226
    5. A Chinese New Word Detection Approach Based on Independence Testing
      Dongchen Jiang, Xiaoyu Chen, Xin Yang
      Pages 227-236
    6. The Accessibility of Mathematical Formulas for the Visually Impaired in China
      Wei Su, Chuan Cai, Jinzhao Wu
      Pages 237-242
    7. Specialty-Aware Task Assignment in Spatial Crowdsourcing
      Tianshu Song, Feng Zhu, Ke Xu
      Pages 243-254
    8. Game-Theoretic Analysis on the Number of Participants in the Software Crowdsourcing Contest
      Pengcheng Peng, Chenqi Mou, Wei-Tek Tsai
      Pages 255-268
  6. Back Matter
    Pages 269-269
    PDF

About these proceedings

Introduction

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.

 

Keywords

Artificial intelligence Automated theorem proving Crowdsourcing Formal logic Geometric reasoning Intelligent documents Internet Machine learning Mathematical knowledge management Problem solving Semantics Symbolic computation Theorem proving

Editors and affiliations

  • Jacques Fleuriot
    • 1
  • Dongming Wang
    • 2
  • Jacques Calmet
    • 3
  1. 1.University of EdinburghEdinburghUnited Kingdom
  2. 2.Beihang UniversityBeijingChina
  3. 3.Karlsruhe Institute of TechnologyKarlsruheGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-99957-9
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-99956-2
  • Online ISBN 978-3-319-99957-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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