Christian Goerick,
"Towards an Understanding of Hierarchical Architectures",
IEEE Transactions on Autonomous Mental Development, vol. 3, no. 1, 2011.
Abstract
Cognitive systems research aims to understand how cognitive abilities can be created in artificial systems. One key issue is the architecture of the system. It organizes the interplay between the different system elements and thus determines the principle limits for the performance of the system. In this contribution we focus on important properties of hierarchical cognitive systems. Therefore, we first present a framework for modeling hierarchic...
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Volker Willert and Julian Eggert,
"Modeling Short-Term Adaptation Processes of Visual Motion Detectors",
Neurocomputing, vol. 74, no. 9, pp. 1329-1339, 2011.
Abstract
In the brain, both neural processing dynamics as well as the perceptual interpretation of a stimulus can depend on sensory history. The underlying principle is a sensory adaptation to the statistics of the input collected over some timespan, allowing the system to tune its detectors, e.g. by better sampling the input space and adjusting the response. Here, we show how a model for adaptation in visual motion processing can be set up from first pri...
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Andreas Knoblauch and Florian Hauser,
"STDP, Hebbian cell assemblies, and temporal coding by spike synchronization.",
BMC Neuroscience, vol. 12(Suppl 1), pp. P142, 2011.
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Claudius Gläser,
"Making Sense of Words through the Eyes of a Child: A Computational Framework for the Acquisition of Word Meanings",
Faculty of Technology, Bielefeld University, 2011.
Abstract
Equipping machines with the ability to understand and use natural language is a difficult task. One aspect underlying this task is the acquisition of language semantics or – to narrow the problem even more – the learning of individual word meanings. A machine, which copes with this problem, has to learn the meaning of a word based on observations of the word in different contexts. Children perform marvelously well in this task. Even though it...
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Henry Lehmann,
"Evolvability as Concept for the optimal Design Of Free-Form Deformation Control Volumes",
TU Bergakademie Freiberg, 2011.
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Tobias Rodemann,
"Spectral cues to source position in robots with arbitrary ear shapes",
Proceedings of ICAR 2011, 2011.
Abstract
The ability to localize a sound source is very important in interaction scenarios where the robot has to face the speaker. It is known that the horizontal position of a sound source can be easily estimated using only two microphones, however, the elevation is more difficult to determine in such a configuration. To deal with these problems the use of special outer ears (so called pinnae) has been proposed in order to allow the use of spectral cues...
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Lisa Schramm,
"Evolution of Cellular Systems - Optimization of Gene Regulatory Networks for the Development of Morphology and Control",
Elektrotechnik und Informationstechnik der Technischen Universität Darmstadt, 2011.
Abstract
This thesis focuses on the evolution of the development of simulated or- ganisms, where a biologically inspired model to simulate the development of organisms is presented. The individuals are made up of several cells that mechanically interact with each other and can perform different ac- tions, e.g. cell division and cell death. The development of the individual starts with a single cell, whose actions are controlled by a gene regula- tory netw...
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Alexander Denecke,
"Hypothesis-based image segmentation for object learning and recognition",
University of Bielefeld, 2011.
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Thomas Weisswange, Constantin Rothkopf, Tobias Rodemann, Jochen Triesch,
"Bayesian cue integration as a developmental outcome of reward mediated learning",
PLoS ONE, vol. 6, no. 7, 2011.
Abstract
Average human behavior in cue combination tasks is well predicted by Bayesian inference models. As this capability is acquired over developmental timescales, the question arises, how it is learned. Here we investigated whether reward dependent learning, that is well established at the computational, behavioral, and neuronal levels, could contribute to this development. It is shown that a model free reinforcement learning algorithm can indeed lear...
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Maha Salem, Stefan Kopp, Katharina Rohlfing, Frank Joublin,
"Investigating the Effect of Robot Gesture",
IEEE Int. Symposium on Robot and Human Interactive Communication (RO-MAN), 2011.
Abstract
The generation of communicative, speech-accompanying robot gesture together with an evaluation of the effects of such multimodal behaviour is still largely unexplored. The main objective of the presented study is to shed light onto human perception and understanding of gestural machine behaviors and how these can be used to design more natural commu- nication in social robots. The approach is twofold: Firstly, a speech-gesture generation model on...
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