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My research can be characterized by two sub-areas of Artificial Intelligence, namely knowledge representation and cognitive agents. I investigate representations that allow cognitive agents, assistance systems, or software agents situated in the real world to represent their environment and to reason about it. Dealing with coarse, uncertain, and even conflicting knowledge is of key interest to me. I take a broad interpretation of the term reasoning to encompass all rational tasks required by a cognitive agent, in particular planning and recognition of context, actions, and events as well as learning and deduction. I am developing the spatial reasoning toolbox SparQ and I am likewise interested in beautiful theories and efficient algorithms
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International Symposium on Foundations of Information and Knowledge Systemspp.256-274, (2024)
Journal of Artificial Intelligence Research (2023): 217-267
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ADVANCES IN ARTIFICIAL INTELLIGENCE, KI 2023 (2023): 184-197
SPATIAL COGNITION AND COMPUTATIONno. 3-4 (2022): 328-366
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