This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution,
artificial neural networks are trained through evolutionary algorithms, taking inspiration from …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

Evolutionary algorithms are commonly used to create high-performing strategies or agents
for computer games. In this paper, we instead choose to evolve the racing tracks in a car …

To show how causal interactions in neural dynamics are modulated by behavior, it is
valuable to analyze these interactions without perturbing or lesioning the neural mechanism …

Evolutionary Robotics is a method for the automatic creation of autonomous robots [86]. It is
inspired by the Darwinian principle of selective reproduction of the fittest captured by …

Games provide competitive, dynamic environments that make ideal test beds for
computational intelligence theories, architectures, and algorithms. Natural evolution can be …

This chapter surveys the research of us and others into applying evolutionary algorithms and
other forms of computational intelligence to various aspects of racing games. We first …

Abstract Ms. Pac-Man is a challenging, classic arcade game with a certain cult status. This
paper reports attempts to evolve a Pac-Man player, where the control algorithm uses a …