© 2018

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
  2. Invited Presentations

    1. Front Matter
      Pages 1-1
    2. Alan Bundy, Kwabena Nuamah, Christopher Lucas
      Pages 3-18
    3. James Davenport
      Pages 19-33
  3. Artificial Intelligence, Theorem Proving and SAT Solving

    1. Front Matter
      Pages 35-35
    2. David Braun, Nicolas Magaud, Pascal Schreck
      Pages 54-69
    3. Sólrún Halla Einarsdóttir, Moa Johansson, Johannes Åman Pohjola
      Pages 70-86
    4. Yaqing Jiang, Petros Papapanagiotou, Jacques Fleuriot
      Pages 87-103
  4. Symbolic and Numerical Computation

    1. Front Matter
      Pages 137-137
    2. Fadoua Ghourabi, Kazuko Takahashi
      Pages 139-154
    3. Yu Wang, Wenyuan Wu, Bican Xia
      Pages 181-194
    4. Ilias S. Kotsireas, Jing Yang
      Pages 195-205
  5. Intelligent Documents and Collective Intelligence

    1. Front Matter
      Pages 207-207
    2. Xiaoyu Chen, Haotian Shuai, Dongming Wang, Jing Yang
      Pages 209-214
    3. Francisco Botana, Zoltán Kovács, Tomás Recio
      Pages 215-220

About these proceedings


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.



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