Neuroevolution in games: State of the art and open challenges
This paper surveys research on applying neuroevolution (NE) to games. In neuroevolution,
artificial neural networks are trained through evolutionary algorithms, taking inspiration from …
artificial neural networks are trained through evolutionary algorithms, taking inspiration from …
[LIVRE][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
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 …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
[LIVRE][B] Evolutionary robotics
Evolutionary Robotics is a method for automatically generating artificial brains and
morphologies of autonomous robots. This approach is useful both for investigating the …
morphologies of autonomous robots. This approach is useful both for investigating the …
[LIVRE][B] Bio-inspired artificial intelligence: theories, methods, and technologies
D Floreano, C Mattiussi - 2008 - books.google.com
A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …
are inspired by self-organizing biological processes and structures. New approaches to …
Towards automatic personalised content creation for racing games
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 …
for computer games. In this paper, we instead choose to evolve the racing tracks in a car …
Causal connectivity of evolved neural networks during behavior
AK Seth - Network: Computation in Neural Systems, 2005 - Taylor & Francis
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 …
valuable to analyze these interactions without perturbing or lesioning the neural mechanism …
[PDF][PDF] Evolutionary robotics
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 …
inspired by the Darwinian principle of selective reproduction of the fittest captured by …
Evolutionary computation and games
Games provide competitive, dynamic environments that make ideal test beds for
computational intelligence theories, architectures, and algorithms. Natural evolution can be …
computational intelligence theories, architectures, and algorithms. Natural evolution can be …
Sensor selection and chemo-sensory optimization: toward an adaptable chemo-sensory system
A Vergara, E Llobet - Frontiers in Neuroengineering, 2012 - frontiersin.org
Over the past two decades, despite the tremendous research on chemical sensors and
machine olfaction to develop micro-sensory systems that will accomplish the growing …
machine olfaction to develop micro-sensory systems that will accomplish the growing …
[PDF][PDF] Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man.
SM Lucas - CIG, 2005 - Citeseer
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 …
paper reports attempts to evolve a Pac-Man player, where the control algorithm uses a …