Helmut A. Mayer

Learn More
We investigate evolutionary approaches to generate well-performing strategies for the iterated prisoner's dilemma (IPD) with different history lengths in static and cultural environments. The length of the history determines the number of the most recent moves of both players taken into account for the current move decision. The static environment(More)
— The majority of work on artificial neural networks (ANNs) playing the game of Go focus on network architectures and training regimes to improve the quality of the neural player. A less investigated problem is the board representation conveying the information on the current state of the game to the network. Common approaches suggest a straight–forward(More)
We present experiments (co)evolving Go players based on artificial neural networks (ANNs) for a 5x5 board. ANN structure and weights are encoded in multi–chromosomal genotypes. In evolutionary scenarios a population of generalized multi–layer perceptrons (GMLPs) has to compete with a single Go program from a set of three players of different quality. Two(More)
Contemplating the development of the field of evolutionary computation (EC), where most basic concepts are borrowed from nature, it is remarkable that multi– chromosomal representations present in all complex organisms have rarely been studied in the artificial domain. Evidently, the addition of such an additional layer of genetic code must prove to possess(More)
In this article we present work on chromosome structures for genetic algorithms (GAs) based on biological principles. Mainly, the influence of noncoding segments on GA behavior and performance is investigated. We compare representations with noncoding sequences at predefined, fixed locations with "junk" code induced by the use of promoter/terminator(More)
Predicting the class membership of a set of patterns represented by points in a multi-dimensional space critically depends on their specific distribution. To improve the classification performance, pattern vectors may be transformed. There is a range of linear methods for feature construction, but these are often limited in their performance. Nonlinear(More)