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Probabilistic Causal Reasoning under Time Pressure
Data and Analysis code for manuscript Probabilistic Causal Reasoning under Time ...
Ivar Kolvoort, Leendert van Maanen
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Identifikasi Kemampuan Berpikir Logis Mahasiswa Calon Guru Fisika Menggunakan Instrument TOLT
This study aimed to identify the type of reasoning and the level of prospective physics teacher studentsââ¬â¢ logical thinking ability. This type of research was a field study with a quantitative descriptive method.
Rahmawati Rahmawati +2 more
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Activation of midbrain and ventral striatal regions implicates salience processing during a modified beads task. [PDF]
IntroductionMetacognition, i.e. critically reflecting on and monitoring one's own reasoning, has been linked behaviorally to the emergence of delusions and is a focus of cognitive therapy in patients with schizophrenia. However, little is known about the
Christine Esslinger +6 more
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Modal Specifications for Probabilistic Timed Systems [PDF]
Modal automata are a classic formal model for component-based systems that comes equipped with a rich specification theory supporting abstraction, refinement and compositional reasoning.
Tingting Han +3 more
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Model fitting data from syllogistic reasoning experiments
The data presented in this article are related to the research article entitled “Probabilistic representation in syllogistic reasoning: A theory to integrate mental models and heuristics” (M. Hattori, 2016) [1].
Masasi Hattori
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BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks
The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed (discrete and continuous).
Han Yu +2 more
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Strengthening Probabilistic Graphical Models: The Purge-and-Merge Algorithm
Probabilistic graphical models (PGMs) are powerful tools for solving systems of complex relationships over a variety of probability distributions. However, while tree-structured PGMs always result in efficient and exact solutions, inference on graph (or ...
Simon Streicher, Johan A. Du Preez
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Videogames and open feedback systems to enhance probabilistic reasoning and engagement
This study analyzed the relationship between probabilistic reasoning, feedback type, and engagement across four sessions of an DGBL educational practice with a feedback system.
Andres Felipe Velasco Hernández +2 more
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Jumping to conclusions (JTC) during probabilistic reasoning is a cognitive bias repeatedly demonstrated in people with schizophrenia and shown to be associated with delusions. Little is known about the neurochemical basis of probabilistic reasoning.
Anna O Ermakova +4 more
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ProCAVIAR: Hybrid Data-Driven and Probabilistic Knowledge-Based Activity Recognition
The recognition of physical activities using sensors on mobile devices has been mainly addressed with supervised and semi-supervised learning. The state-of-the-art methods are mainly based on the analysis of the user's movement patterns that emerge from ...
Claudio Bettini +3 more
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