Video games mimic real-world situations and they can be used as a benchmark to evaluate
computational methods in solving different types of problems. Also, machine learning …

This paper investigates the applicability of Genetic Programming type systems to dynamic
game environments. Grammatical Evolution was used to evolved Behaviour Trees, in order …

Creating controllers for NPCs in video games is traditionally a challenging and time
consuming task. While automated learning methods such as neuroevolution (ie evolving …

Computer games have been tied to the research of Artificial Intelligence since its beginning.
1 Research on AI has not only benefited from using classic games, such as chess or Go, as …

Creating controllers for NPCs in video games is traditionally a challenging and time
consuming task. Automated learning methods such as neuroevolution (ie evolving artificial …

Program synthesis is a complex problem domain tackled by many communities via different
methods. In the last few years, a lot of progress has been made with Genetic Programming …

Abstract Grammar-guided Genetic Programming is a common approach for program
synthesis where the user's intent is given by a set of input/output examples. For use in real …

Evolutionary computation covers the family of artificial intelligence techniques inspired by
nature and biological evolution. These methods, such as swarm intelligence, may have a …

Parameter controllers for Evolutionary Algorithms (EAs) deal with adjusting parameter
values during an evolutionary run. Many ad hoc approaches have been presented for …

Abstract The General Video Game Playing Competition (GVGAI) defines a challenge of
creating controllers for general video game playing, a testbed—as it were—for examining …