About: The logic of causal and probabilistic reasoning in uncertain environments     Goto   Sponge   NotDistinct   Permalink

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  • In recent years artificial intelligence has been strongly inspired by results achieved in the field of modern psychology but these two scientific disciplines have converged also because of using the same tools for complex model construction. Here we have in mind tools enabling us to develop models of uncertain knowledge: probabilistic and nonmonotonic logic, graphical and non-graphical models of conditional independence structures and models of causality and causal reasoning.The proposed project join forces of seven research teams, which have already been collaborating whether informally or on bilateral projects.The goal of Prague group is to offer special tools to all the other participating research teams; tools enabling them to build up models based on consistent systems of pieces of local knowledge. For this we shall further develop theory of compositional models in the way that it reflects results achieved by experimental psychologists. We shall also look for special tools describing local knowledge in a human way and taking into account requirements for simple processing. (en)
  • V rámci projektu bude rozvíjena teorie kompozicionálních modelů tak, aby bylo možno navrhnout efektivní výpočetní procedury umožnující jejich aplikaci na řešení praktických problémů. Dále budou navrhovány nové nástroje pro popis a modelování částečných znalostí odpovídající lidskému uvažování. (cs)
Title
  • Logika kauzálního a pravděpodobnostního usuzování za nejistoty (cs)
  • The logic of causal and probabilistic reasoning in uncertain environments (en)
http://linked.open...vai/cislo-smlouvy
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  • pravděpodobnostní logika, kauzalita, spekulativní podmiňování, poznání, vývoj poznání, bayesovské sí (en)
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