Research Training Group - Research Programme
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The Research Training Group Adaptivity is a particular research programme within the PhD programme focusing on the question of adaptivity of cognitive systems, i.e. the ability to cope with new and previously unexperienced situations and develop new skills in the course of this process.
The adaptivity in the external behaviour of cognitive systems seems to correlate systematically with an internal architecture in which sub-symbolic and symbolic data structures interact. The core research target of the Research Training Group is the understanding of the exact relationship between the hybrid structure of cognitive systems and their adaptive behaviour, and the central question is to what extend the adaptivity of cognitive systems can be explained by their hybrid structure. The aim of the programme thus is the interaction of classic models of cognition that rely on the processing of symbolic structures, and more recent approaches that are based on signal processing. (For details see GK_GeneralQuestions.pdf) |
| AI 1: Development of a Module for the Modeling of Logical Theories with Neural Networks | GK_AI.pdf | |
| AI 2: The Modeling of Non-Classical Logical Theories with Neural Networks | ||
| Linguistics
Peter Bosch, Stefan Evert, Alexander Alexejenko, Maria Cieschinger |
LIN 1: Polysemy in lexical mental representation | GK_LIN.pdf |
| LIN 2: Definite reference | ||
| Neurobiopsychology | NBP 1:Selection of fixation points under natural conditions | GK_NBP.pdf |
| NBP 2:Interaction of visual attention and linguistic processing | ||
| NBP 3: Emergence and adaptation of symbolic representations | ||
| Master Project: Selection of fixation points under natural conditions | ||
| Philosophy | PHIL 1:Emotional Adaptations | GK_PHIL.pdf |
| PHIL 2: Affective Intentionality | ||
| Psychology | PSY 1: Cognitive correlates of affect-induced alpha-asymmetry | GK_PSY.pdf |
| PSY 2: PDP-Modelling of the measurement of motivation and personality functioning | ||
| Master Project: Neural Correlates of Impaired Behavioral Adaptation | ||
| Robotics | ROB 1: Interpretation of Scenes from Sensor Data Based on a Domain Model in Descriptive Logic | GK_ROB.pdf |
| ROB 2: Reinforcement Learning on Abstract State Spaces |