

Reasoning with uncertainty has gained an important role in computer science, artificial intelligence and cognitive science. These applications urge for development of formal models which capture reasoning of probabilistic features. We propose a formal model for reasoning about probabilities of simply typed lambda terms. We present its syntax, Kripke-style semantics and axiomatic system. The main results are the corresponding soundness and strong completeness, which rely on two key facts: the completeness of simple type assignment and the existence of a maximal consistent extension of a consistent set. © Springer International Publishing AG 2018.
| Engineering controlled terms: | CalculationsDifferentiation (calculus)Formal methodsSemantics |
|---|---|
| Engineering uncontrolled terms | Cognitive scienceKripke-style semanticsMaximal consistent extensionsProbabilistic reasoningReasoning with uncertaintySimply typed lambda calculusSoundnessStrong completeness |
| Engineering main heading: | Probabilistic logics |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung See opportunities by SNF | 165549 | SNF |
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | III 044006,ON174008,ON174026 | MPNTR |
Acknowledgements. This work was supported by the SNSF project 200021 165549 Justifications and non-classical reasoning, and by the Serbian Ministry of Education, Science and Technological Development through projects ON174026, III 044006 and ON174008.
Savić, N.; Institute of Computer Science, University of Bern, Bern, Switzerland;
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