Markus Borschbach

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Solutions calculated by Evolutionary Algorithms have come to surpass exact methods for solving various problems. The Rubik's Cube multiobjective optimization problem is one such area. In this work we present an evolutionary approach to solve the Rubik's Cube with a low number of moves by building upon the classic Thistlethwaite's approach. We provide a(More)
The prediction of essential biological features based on a given protein sequence is a challenging task in computational biology. To limit the amount of in vitro verification, the prediction of essential biological activities gives the opportunity to detect so far unknown sequences with similar properties. Besides the application within the identification(More)
| In this paper, a two{layer neural network is presented that organizes itself to perform blind source separation. The inputs to the network are prewhitened linear mixtures of unknown independent source signals. An unsu-pervised nonlinear hebbian learning rule is used for training the network. After convergence, the network is able to extract the source(More)
This work outlines the incorporation of human strategies in a genetic algorithm. Human competence and machine intelligence are merged creating symbiotic human-machine intelligence, which is called HuGO!, the Human strategy based Genetic Optimizer. HuGO! emerged from and is applied to the restoration problem of Rubik's Cube and successfully solves this task.(More)
Potentialities and limitations of four different independent component analysis (ICA) learning rules applied to synthetic magnetoencephalography (MEG) data is presented. The MEG principles and some features of the assumed underlying model of the brain signals and brain processes are explained. Special tasks are identification of migrating and temporally(More)
Trust is an important and frequently studied concept in personal interactions and business ventures. As such, it has been examined by multitude of scientists in diverse disciplines of study. Over the past years, proposals have been made to model trust relations computation-ally, either to assist users or for modeling purposes in multi-agent systems. These(More)