Our paper on "Combining Evolutionary Algorithms and Case-Based Reasoning
for Learning High-Quality Shooting Strategies in AI Birds" (by S. Gemici, T. Gabel, B. Löffler and A. Othman) has been accepted for presentation at this years conference on Evolving and Adaptive Intelligent Systems (EAIS 2017). The PDF will be available on this site soon.

Abstract: "Self-adaptation and the ability to assimilate new knowledge
are two fundamental characteristics of intelligent systems. In this paper we leverage methods from evolutionary optimization and from case-based reasoning to construct an agent that is able to evolve in such a way that it is able to successfully master the popular video game Angry Birds."