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

该提案研究了(1)概率逻辑和非单调推理及其在人类推理中的应用，(2)非单调推理的博弈论评估，(3)因果关系和因果推理的基础，(4)复杂知识在图形和非图形模型中的表示，以及(5)儿童和成人的反事实推理。相关维度包括不确定性、因果性、连贯性/一致性和复杂性。他们调查了他们的逻辑和数学基础，他们在智能系统中的实现，并尊重人类现实。

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.