© 2018

Artificial Intelligence XXXV

38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11–13, 2018, Proceedings

  • Max Bramer
  • Miltos Petridis
Conference proceedings SGAI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11311)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11311)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Technical Papers

  3. Neural Networks

    1. Front Matter
      Pages 19-19
    2. Christian Huyck, Dainius Kreivenas
      Pages 21-33
    3. Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos
      Pages 34-49
    4. Yuehu Ji, David Gamez, Christian Huyck
      Pages 50-62
  4. Planning and Scheduling

    1. Front Matter
      Pages 77-77
    2. Fernando Ropero, Pablo Muñoz, María D. R-Moreno
      Pages 79-91
    3. Filipo Studzinski Perotto, Laurent Vercouter
      Pages 92-105
    4. Fernando Ropero, Pablo Muñoz, María D. R-Moreno
      Pages 106-118
  5. Machine Learning

    1. Front Matter
      Pages 119-119
    2. Joanna Jȩdrzejowicz, Piotr Jȩdrzejowicz
      Pages 121-131
    3. Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis
      Pages 132-142
    4. Per-Arne Andersen, Morten Goodwin, Ole-Christoffer Granmo
      Pages 143-155
  6. Short Technical Papers

    1. Front Matter
      Pages 157-157
    2. Sally McClean, Naveed Khan, Adam Currie, Kashaf Khan
      Pages 159-164
    3. Simon Thompson
      Pages 171-176

About these proceedings


This book constitutes the proceedings of the 38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2018, held in Cambridge, UK, in December 2018.

The 25 full papers and 12 short papers presented in this volume were carefully reviewed and selected from 46 submissions. There are technical and application papers which were organized in topical sections named: Neural Networks; Planning and Scheduling; Machine Learning; Industrial Applications of Artificial Intelligence; Planning and Scheduling in Action; Machine Learning in Action; Applications of Machine Learning; and Applications of Agent Systems and Genetic Algorithms.


artificial intelligence Business Process Management (BPM) case based reasoning classification data mining decision trees genetic algorithms Human-Computer Interaction (HCI) information retrieval intelligent agents knowledge-based system learning algorithms machine learning Multi-Agent Systems (MAS) neural networks robotics robots sensors web services World Wide Web

Editors and affiliations

  • Max Bramer
    • 1
  • Miltos Petridis
    • 2
  1. 1.University of PortsmouthPortsmouthUK
  2. 2.Middlesex UniversityLondonUK

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