IEEE WCCI 2018 – Rio de Janeiro, Brazil, 8-13 July 2018

Chairs: Daniel Ashlock, Jialin Liu, Santiago Ontañón

Special session id: CDSS-08

Important Dates
Paper submission: 15 January 2018 1st February 2018 
Notification: 15 March 2018

Corresponding contact: Daniel Ashlock <>


Games are an ideal domain to study computational intelligence (CI) methods because they provide affordable, competitive, dynamic, reproducible environments suitable for testing new search algorithms, pattern-based evaluation methods, or learning concepts.  Games scale from simple problems for developing algorithms to incredibly hard problems for testing algorithms to the limit.  They are also interesting to observe, fun to play, and very attractive to students. Additionally, there is great potential for CI methods to improve the design and development of both computer games as well as tabletop games, board games, and puzzles.  This special session aims at gathering leaders and neophytes in games research as well as practitioners in this field who research applications of computational intelligence methods to computer games.


In general, papers are welcome that consider all kinds of applications of methods (evolutionary computation, supervised learning, neural learning, unsupervised learning, fuzzy systems, game-tree search, rolling horizon algorithms, MCTS, etc.) to games (card games, board games, mathematical games, action games, strategy games, role-playing games, arcade games, serious games, etc.).

Examples include but are not limited to

  • Adaptation in games
  • Automatic game testing
  • Novel games that use CI techniques
  • Coevolution in games
  • Comparative studies (e.g. CI versus human-designed players)
  • Dynamic difficulty in games
  • Games as test-beds for algorithms
  • Imitating human players
  • Learning to play games
  • Multi-agent and multi-strategy learning
  • Player/opponent modelling
  • Procedural content generation
  • CI for Serious Games (e.g., games for health care, education or training)
  • Results of game-based CI and open competitions

About the organisers

Daniel Ashlock is a Professor of Mathematics at the University of Guelph.  He is a member of the IEEE Computational

Intelligence Societies’ Games Technical Committee, serves as an associate editor of both the IEEE Transactions on Games and the

new journal Game and Puzzle Design.  Dr. Ashlock is a life-long referee of roleplaying games and loves the problems that arise in game and puzzle design.  Dr. Ashlock is the author of 270 peer reviewed scientific publications, about a third of which are on the topic of games, including mathematical games, procedural content generation, and puzzle design.  Across his work the issue of representation, the study of how to phrase problems for the computer, appears in a starring role.  Dr. Ashlock is the Chief of Innovation at Ashlock and McGuinness Consulting, Inc.  He teaches and does research in Guelph, Ontario, Canada.

Jialin Liu is a Postdoctoral Research Associate at Queen Mary University of London (QMUL, UK) since the creation of the Game AI research group in August 2017. Before joining QMUL, she was a Senior Research Officer at the Games and AI research group of University of Essex (UK) between March 2016 and July 2017.  Jialin received her PhD in Computer Science from the University Paris-Saclay & Inria Saclay (France) in December 2015. Her research interests include general game playing, robust game playing, automatic game design, black-box noisy optimisation and portfolio algorithms. Jialin is chairing the IEEE CIS Student Games-Based Competitions Sub-Committee and also serves in the Games Technical Committee, Webinars Sub-Committee, Women in Computational Intelligence Sub-Committee and Young Professionals Sub-Committee. She serves as Program Co-Chair at IEEE CIG18.

Santiago Ontañón is an Associate Professor in the Computer Science Department at Drexel University. His main research interests are game AI, case-based reasoning and machine learning, fields in which he has published more than 150 peer reviewed papers. He obtained his PhD from the Autonomous University of Barcelona (UAB), Spain in 2005. Before joining Drexel University, he held postdoctoral research positions at the Artificial Intelligence Research Institute (IIIA) in Barcelona, Spain, at the Georgia Institute of Technology (GeorgiaTech) in Atlanta, USA, and lectured at the University of Barcelona (UB), Spain.