Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff,
"Evolutionary optimization with dynamic fidelity computational models",
Proceedings of International Conference on Intelligent Computing, pp. 235–242, 2008.
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Florian Röhrbein, Julian Eggert, Edgar Körner,
"Bayesian Columnar Networks for Grounded Cognitive Systems",
Proceedings of the 30th Annual Conference of the Cognitive Science Society, pp. 1423–1428, 2008.
Abstract
There are two elementary building blocks whose intimate relationship has been overlooked so far: The cortical column as ubiquitous local processor underlying all cognitive operations and the Bayesian framework with the generic operation of calculating posterior probabilities given likelihoods and prior probabilities. In this contribution we try to bridge this gap by providing a detailed mapping between parts of the cortical column and processing ...
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Dudy Lim,
"Evolutionary Optimization For Computationally Expensive Problem",
Nanyang Technological University, 2008.
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Michael Gienger, Mark Toussaint, Christian Goerick,
"Task maps in humanoid robot manipulation",
IEEE International Conference on Intelligent Robot and Systems, 2008.
Abstract
This paper presents an integrative approach to solve the coupled problem of reaching and grasping an object in a cluttered environment with a humanoid robot. While finding an optimal grasp is often treated independently from reaching to the object, in most situations it depends on how the robot can reach a pregrasp pose while avoiding obstacles. We tackle this problem by introducing the concept of task maps which represent the manifold of feasibl...
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Stefan Menzel and Bernhard Sendhoff,
"Representing the Change - Free Form Deformation for Evolutionary Design Optimisation",
Evolutionary Computation in Practice, Springer, pp. 63–86, 2008.
Abstract
The representation of a design influences the success of any kind of optimization significantly. The perfect trade-off between the number of parameters which define the search space and the achievable design flexibility is very crucial since it influences the convergence speed of the chosen optimization algorithm as well as the possibility to find the design which provides the best performance. Classical methods mostly define the design directly,...
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Sven Rebhan, Florian Röhrbein, Julian Eggert, Edgar Körner,
"Attention Modulation Using Short- and Long-Term Knowledge",
ICVS 2008, issue 5008, pp. 151–160, 2008.
Abstract
A fast and reliable visual search is crucial for representing visual scenes. The modulation of bottom-up attention plays an important role here. The knowledge about target features is often used to bias the bottom-up pathway. In this paper we propose a system which does not only make use of knowledge about the target features, but also uses already acquired knowledge about objects in the current scene to speed up the visual search. Main ingredien...
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Toyotaka Sonoda, Markus Olhofer, Toshiyuki Arima, Bernhard Sendhoff,
"A new concept of a two-dimensional supersonic relative inlet mach number compressor cascade",
Proc. of the ASME Turbo Expo, June 8-12, 2009, Orlando, FL USA, 2008.
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Julian Eggert and Heiko Wersing,
"Approaches and Challenges for Cognitive Vision Systems",
Creating Brain-like Intelligence, 2008.
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Rim Helaoui,
"Morphological Development of Artificial Embodied Organisms under the Control of Gene Regulatory Networks",
Universität Karlsruhe, 2008.
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Ingo Fründ, Jeanette Schadow, Niko Busch, Nicole Naue, Ursula Körner, Christoph Herrmann,
"Anticipation of natural stimuli modulates EEG dynamics: physiology and simulation",
Cognitive Neurodynamics, vol. 2, no. 2, pp. 89-100, 2008.
Abstract
In everyday life we often encounter situations in which we can expect a visual stimulus before we actually see it. Here, we study the impact of such stimulus anticipation on the actual response to a visual stimulus. Participants were to indicate the sex of deer and cattle on photographs of the respective animals. On some trials, participants were cued on the species of the upcoming animal whereas on other trials this was not the case. Time freque...
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