© 2016

AI 2016: Advances in Artificial Intelligence

29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings

  • Byeong Ho Kang
  • Quan Bai
Conference proceedings AI 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9992)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9992)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Agents and Multiagent Systems

    1. Front Matter
      Pages 1-1
    2. Dave de Jonge, Dongmo Zhang
      Pages 3-16
    3. Duong D. Nguyen, Langford B. White, Hung X. Nguyen
      Pages 29-41
    4. David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher
      Pages 42-55
  3. AI Applications and Innovations

    1. Front Matter
      Pages 69-69
    2. César A. Astudillo, Jorge Poblete, Marina Resta, B. John Oommen
      Pages 101-112
    3. Su Jeong Choi, A-Yeong Kim, Seong-Bae Park, Se-Young Park
      Pages 113-124
    4. Bojan Kolosnjaji, Apostolis Zarras, George Webster, Claudia Eckert
      Pages 137-149
    5. Gaurav Langan, James Montgomery, Saurabh Garg
      Pages 150-162
    6. Ayad Turky, Nasser R. Sabar, Abdul Sattar, Andy Song
      Pages 163-174
    7. César A. Astudillo, Javier I. González, B. John Oommen, Anis Yazidi
      Pages 175-182
    8. Haokun Geng, Hsiang-Jen Chien, Radu Nicolescu, Reinhard Klette
      Pages 183-190
    9. Ayu Saraswati, Markus Hagenbuchner, Zhi Quan Zhou
      Pages 191-199
  4. Big Data

    1. Front Matter
      Pages 201-201

About these proceedings


This book constitutes the refereed proceedings of the 29th Australasian Joint Conference on Artificial Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016.

The 40 full papers and 18 short papers presented together with 8 invited short papers were carefully reviewed and selected from 121 submissions. The papers are organized in topical sections on agents and multiagent systems; AI applications and innovations; big data; constraint satisfaction, search and optimisation; knowledge representation and reasoning; machine learning and data mining; social intelligence; and text mining and NLP.

The proceedings also contains 2 contributions of the AI 2016 doctoral consortium and 6 contributions of the SMA 2016.


computer vision data mining knowledge representation and reasoning machine learning natural language processing semantic Web description languages big data constraints data structures evolutionary algorithms fuzzy logic intelligent agents modeling and simulation multiagent systems neural networks planning and scheduling recommender systems search methodologies social media

Editors and affiliations

  • Byeong Ho Kang
    • 1
  • Quan Bai
    • 2
  1. 1.University of TasmaniaHobartAustralia
  2. 2.Auckland University of TechnologyAucklandNew Zealand

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