This paper presents Neurogenetic Connect Four (NGC4), an evolutionary connectionist game solution, which, in a novel attempt, combines evolution and artificial neural networks in order to automatically learn a game of moderate difficulty. Besides the complete system design, underlying principles are introduced and expectations are discussed. It is firmly estimated that the algorithm might not only give way to a truly automatic solution of game situations, but also have the potential to offer a starting point for automated problem solution systems outside toy domain
This article addresses the challenge of learning to play many dierent video games with little domain...
Game playing is a relatively interesting task in the field of artificial intelligence in these days....
U radu je opisan razvoj umjetne inteligencije na primjerima računalnih igara. Proučeno je korištenje...
Recent developments in nature-inspired computation have heightened the need for research into the th...
Abstract—This paper surveys research on applying neuroevo-lution (NE) to games. In neuroevolution, a...
The paper is a demonstration of using the NEAT algorithm to allow artificial neural networks to evol...
An agent controlled by a single developmental neuron is trained to play arcade game. Genetic program...
Recent developments in nature-inspired computation have heightened the need for research into the th...
Abstract—General Video Game Playing (GVGP) allows for the fair evaluation of algorithms and agents a...
General Video Game Playing (GVGP) allows for the fair evaluation of algorithms and agents as it mini...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
This thesis project details the creation of a simple platform game and an artificially intelligent a...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
Many different approaches to game playing have been suggested including alpha-beta search, temporal ...
In this paper, we present a study of evolving artificial neural network controllers for autonomously...
This article addresses the challenge of learning to play many dierent video games with little domain...
Game playing is a relatively interesting task in the field of artificial intelligence in these days....
U radu je opisan razvoj umjetne inteligencije na primjerima računalnih igara. Proučeno je korištenje...
Recent developments in nature-inspired computation have heightened the need for research into the th...
Abstract—This paper surveys research on applying neuroevo-lution (NE) to games. In neuroevolution, a...
The paper is a demonstration of using the NEAT algorithm to allow artificial neural networks to evol...
An agent controlled by a single developmental neuron is trained to play arcade game. Genetic program...
Recent developments in nature-inspired computation have heightened the need for research into the th...
Abstract—General Video Game Playing (GVGP) allows for the fair evaluation of algorithms and agents a...
General Video Game Playing (GVGP) allows for the fair evaluation of algorithms and agents as it mini...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
This thesis project details the creation of a simple platform game and an artificially intelligent a...
Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful tec...
Many different approaches to game playing have been suggested including alpha-beta search, temporal ...
In this paper, we present a study of evolving artificial neural network controllers for autonomously...
This article addresses the challenge of learning to play many dierent video games with little domain...
Game playing is a relatively interesting task in the field of artificial intelligence in these days....
U radu je opisan razvoj umjetne inteligencije na primjerima računalnih igara. Proučeno je korištenje...