The Logic of Causal and Probabilistic Reasoning in Uncertain Environments (LcpR)

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The proposal investigates (1) probability logic and nonmonotonic reasoning and its application to human inference, (2) game theoretic evaluations of nonmonotonic reasoning, (3) foundations of causality and causal reasoning, (4) representation of complex knowledge in graphical and nongraphical models, and (5) counterfactual reasoning in children and adults. The relevant dimensions include uncertainty, causality, coherence/consistency, and complexity. They are investigated with respect to their logical and mathematical foundations, their implementation in intelligent systems, and with respect to human reality.