Marc-Oliver Gewaltig,
"Simulation Technologie for large neural systems.",
Recent developments, chances and limitations of modern brain research., Technologie Ausschuss des Deutschen Bundestags, 2006.
Abstract
In computational neuroscience, simulations are an important tool to investigate and answer questions which are not tractable by experimental methods. They allow us to explicitly test models of information processing, by constructing models according to the hypothesized principles. Most computer models of neural systems focus on the properties of single neurons or small networks of neurons (see 2.2.2). However, in order to understand the fundament...
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Hans-Georg Beyer and Bernhard Sendhoff,
"Functions with Noise-Induced Multi-Modality: A Test for Evolutionary Robust Optimization – Properties and Performance Analysis",
IEEE Transactions on Evolutionary Computation, vol. 10, no. 5, pp. 507-526, 2006.
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Jochen Steil and Heiko Wersing,
"Recent trends in online learning for cognitive robotics",
Proceedings of the European Symposium on Neural Networks, pp. 77-88, 2006.
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Inna Mikhailova, Werner von Seelen, Christian Goerick,
"Usage of General Developmental Principles for Adaptation of Reactive Behavior",
Proceedings of the Sixth International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems, pp. 63-70, 2006.
Abstract
We propose a design of a self-motivational system which would be suitable for both adaptation and development scenarios. The core features of our design are: the usage of general rewards and building up on a reactive system. As a test case for our design we use the human-robot interaction via shared attention. We show that with addition of a general-purpose self-motivational mechanism the system can aquire a behavior for distinguishing between ob...
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Kwasi Foli, Tatsuya Okabe, Markus Olhofer, Yaochu Jin, Bernhard Sendhoff,
"Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms",
International Journal of Heat and Mass Transfer, vol. 49, pp. 1090-1099, 2006.
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Heiko Wersing, Stephan Kirstein, Michael Götting, Holger Brandl, Mark Dunn, Inna Mikhailova, Christian Goerick, Jochen Steil, Helge Ritter, Edgar Körner,
"A biologically motivated system for unconstrained online learning of visual objects",
Proc. ICANN, Athens, pp. 508 – 517, 2006.
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Till Steiner, Markus Olhofer, Bernhard Sendhoff,
"Towards shape and structure optimization with evolutionary development",
Proceedings of the ALife X: The Tenth International Conference on the Simulation and Synthesis of Living Systems, pp. 70-76, 2006.
Abstract
We present an approach to model an artificial developmental system based on cells that interact through gene regulatory networks for shape or structure optimization.Cell differentiation is accomplished by positional information provided by transcription factors that diffuse inside a simulated environment. Different actions such as cell division, apoptosis and cell-cell communication are implemented. The system is applied to a simple target shape ...
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Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward Tsang,
"Prediction-based population re-initialization for evolutionary dynamic multi-objective optimization",
The 4th Int. Conf. on Evolutionary Multi-Criterion Optimization, 2006.
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Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee,
"Inverse multi-objective robust evolutionary optimization",
Genetic Programming and Evolvable Machines, vol. 7, no. 4, pp. 383-404, 2006.
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Tobias Rodemann, Martin Heckmann, Björn Schölling, Frank Joublin, Christian Goerick,
"Real-time sound localization with a binaural head-system using a biologically-inspired cue-triple mapping",
Proceedings of the IEEE/RSJ International Conference on Robots and Intelligent Systems, 2006.
Abstract
We present a sound localization system that operates in real-time, calculates three binaural cues (IED, IID, and ITD) and integrates them in a biologically inspired fashion to a combined localization estimation. Position information is furthermore integrated over frequency channels and time. The localization system controls a head motor to fovealize on and track the dominant sound source. Due to an integrated noise-reduction module the system sho...
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