The research group "cognitive neuroinformatics" is developing hybrid knowledge-based systems. These systems combine low level cognitive abilities like pattern recognition with higher cognitive capacities like knowledge representation and reasoning. The research focus is set to further development in theories of Softcomputing concerning automated learning, processing and representation of uncertain knowlegde (Dempster-Shafer Theory, etc.). Another point of interest is the development of inference processes which are based on construction of new hypothesises and are capable of adaptiv and parallel reasoning. Hybrid architectures for integration of different processing principles like connectionistic and symbolic approaches are researched, too. These systems are developed for different areas of application with appropriate profiles. These areas of application are knowledge manegement systems, decision assistance sytems, retrieval systems and systems for modeling and simulation of "active perception" sensomotoric processes.

Research activities

Research topics

Cognitive agents / Knowledge-based systems:

Biologically motivated vision systems:

Representation and processing of spatial and spatio-temporal information:

Experimental research

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