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Probabilistic quantitative temporal reasoning
Proceedings of the Symposium on Applied Computing, 2017Temporal reasoning, in the form of propagation of temporal constraints, is an important topic in Artificial Intelligence. The current literature in the area is moving from the treatment of "crisp" temporal constraints to fuzzy or probabilistic constraints, to account for different forms of uncertainty and\or preferences.
Paolo Terenziani, Antonella Andolina
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Probabilistic default reasoning
2005We present an algorithm that is able to integrate uncertain probability statements of different default levels. In case of conflict between statements of different levels the statements of the lower levels are ignored. The approach is applicable to inference networks of arbitrary structure including loops and cycles.
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Signal classification by probabilistic reasoning
2013 IEEE Radio and Wireless Symposium, 2013Much of the work into developing environmental and network awareness for cognitive radios has been focused on developing new metrics to identify the modulation schemes in use by neighboring radio nodes. Unfortunately, the metrics are used to derive only hard decisions which are often threshold-based and therefore unable to assign a measure of ...
Christopher Ian Phelps +1 more
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Feature-based evidential reasoning for probabilistic risk analysis and prediction
Engineering Applications of Artificial Intelligence, 2021Ying Wang, Limao Zhang
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Probabilistic reasoning about epistemic action narratives
Artificial Intelligence, 2020Fabio Aurelio D'Asaro +2 more
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Distinct brain loci in deductive versus probabilistic reasoning
Neuropsychologia, 1998Daniela Perani +2 more
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Measuring Probabilistic Reasoning: The Construction of a New Scale Applying Item Response Theory
Journal of Behavioral Decision Making, 2017Caterina Primi +2 more
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Probabilistic reasoning for assembly-based 3D modeling
ACM Transactions on Graphics, 2011Siddhartha Chaudhuri +2 more
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