Tutorial 1: Basic AI techniques for videogame characters
Cyril Brom, Charles University in Prague
Diving for the first time into the gaming AI topic is always difficult. The aim of this tutorial is to provide the insight into the theory and techniques that are used to control the behaviour of 3D videogame virtual characters. Our tutorial also covers practical topics…(read more)
Tutorial 2: So you’ve evolved some strategies: now what? Fingerprinting and Dual Metric-Space techniques for understanding agent and problem spaces.
Dan Ashlock, University of Guelph, Canada
One of the down sides to evolving or training a game strategy on a series of examples is that the resulting strategy often defies simple analysis. This tutorial introduces a number of related helpful techniques for understanding artificial agents or strategies produced via computational intelligence techniques. The key tool is the development of meaningful numerical signatures…(read more)
Tutorial 3: Game Mining – Data Mining in Games
Christian Thurau, Fraunhofer IAIS
Modern games are generating massive amounts of data that can help developers for tasks such as user modeling, behavior analysis, matchmaking, or playability testing. This tutorial will give some background on modern data mining techniques and explain its application to games. Different scenarios will be covered, going from behavior analysis of individual players…(read more)
Tutorial 4: Finding a Better Way Into Mordor: AI and the Games Industry
Alex Champandard, AiGameDev.com
The games industry has the reputation of an impenetrable fortress that’s hard to locate above the fiery pits of Mordor. Students only ever go in, and information never comes out! Whether or not that’s right, it’s not likely to change anytime soon….(read more)
