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Applied Computer Science / Cognitive Systems Group

Short portrait Cognitive Systems

In the research domain Cognitive Systems (CogSys) we are concerned with the development of approaches, concepts, and methods for design, description, and analysis of intelligent systems based on cognitive principles. Our research strategy is to combine empirical studies of cognitive phenomena, development of algorithms, and their testing in different areas of application. Main topics of our group are induction and learning as well as planning and problem solving in single- and multi-agent settings. Especially, we are interested in the inductive synthesis of recursive functional programs from incomplete specifications, e.g., input/output examples. Furthermore, we investigate analogical reasoning as a powerful approach to problem solving as a special mechanism of knowledge acquisition. Application areas are, for example, support of human problem solvers in the domains of software development, classifier learning for medical diagnostics and quality control, and support systems for activities of daily life.