Results 11 to 20 of about 24,451 (299)
Invariants in probabilistic reasoning [PDF]
Cognitive Psychology, 2018 Recent research has identified three invariants or identities that appear to hold in people's probabilistic reasoning: the QQ identity, the addition law identity, and the Bayes rule identity (Costello and Watts, 2014, 2016a, Fisher and Wolfe, 2014, Wang and Busemeyer, 2013, Wang et al., 2014).
Costello, Fintan, Watts, Paul
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Probabilistic constraint reasoning [PDF]
Constraints, 2015 Dissertacao apresentada para obtencao do Grau de Doutor em Engenharia Informatica, pela Universidade Nova de Lisboa, Faculdade de Ciencias e ...
Carvalho, Elsa Cristina Batista Bento
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Probabilistic situations for reasoning [PDF]
2012 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, 2012 One of the most substantial advantages that human analysts have over machine algorithms is the ability to seamlessly integrate sensed data into a situation-based internal narrative. Replicating an analogous internal representation algorithmically has proved to be a challenging problem that is the focus of much current research.
Culbertson, Jared +3 more
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Evaluating and selecting arguments in the context of higher order uncertainty
Frontiers in Artificial Intelligence, 2023 Human and artificial reasoning has to deal with uncertain environments. Ideally, probabilistic information is available. However, sometimes probabilistic information may not be precise or it is missing entirely.
Christian Straßer, Lisa Michajlova
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Compositional bisimulation metric reasoning with Probabilistic Process Calculi [PDF]
Logical Methods in Computer Science, 2017 We study which standard operators of probabilistic process calculi allow for compositional reasoning with respect to bisimulation metric semantics.
Daniel Gebler +2 more
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Pythagoras, 2021 Interpreting phenomena under uncertainty stands as a substantial cognitive activity in our daily life. Furthermore, in probability education research, there is a need for developing a unified model that involves several probabilistic conceptions.
Samah G.A. Elbehary
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Advances in Probabilistic Reasoning [PDF]
, 1991 Appears in Proceedings of the Seventh Conference on Uncertainty in Artificial Intelligence (UAI1991)
Dan Geiger, David Heckerman
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Probabilistic Causal Reasoning
CoRR, 2013 Predicting the future is an important component of decision making. In most situations, however, there is not enough information to make accurate predictions. In this paper, we develop a theory of causal reasoning for predictive inference under uncertainty.
Thomas L. Dean, Keiji Kanazawa
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Reasoning in Reference Games: Individual- vs. Population-Level Probabilistic Modeling. [PDF]
PLoS ONE, 2016 Recent advances in probabilistic pragmatics have achieved considerable success in modeling speakers' and listeners' pragmatic reasoning as probabilistic inference.
Michael Franke, Judith Degen
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Normative benchmarks are useful for studying individual differences in reasoning [PDF]
, 2011 We applaud many aspects of Elqayam & Evans' (E&E's) call for a descriptivist research programme in studying reasoning. Nevertheless, we contend that normative benchmarks are vital for understanding individual differences in performance. We argue that the
Stupple, Edward J. N. +5 more
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