Surprise! Why Insightful Solution Is Pleasurable
Journal of Intelligence, 2022 Insight problems—as a type of ill-defined problems—are often solved without an articulate plan, and finding their solution is accompanied by the Aha! experience (positive feeling from suddenly finding a solution).
Anna Savinova, Sergei Korovkin
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Cerebellum, Predictions and Errors [PDF]
Frontiers in Cellular Neuroscience, 2019 Making predictions and validating the predictions against actual sensory information is thought to be one of the most fundamental functions of the nervous system. A growing body of evidence shows that the neural mechanisms controlling behavior, both in motor and non-motor domains, rely on prediction errors, the discrepancy between predicted and actual ...
Laurentiu S. Popa, Timothy J. Ebner
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A particle swarm optimisation-based Grey prediction model for thermal error compensation on CNC machine tools [PDF]
, 2015 Thermal errors can have a significant effect on CNC machine tool accuracy. The thermal error compensation system has become a cost-effective method of improving machine tool accuracy in recent years.
Longstaff, Andrew P. +3 more
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Predicting design induced pilot error using HET (human error template) - a new formal human error identification method for flight decks [PDF]
, 2006 Human factors certification criteria are being developed for large civil aircraft with the objective of reducing the incidence of designinduced error on the flight deck.
Harris, Don +7 more
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Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance [PDF]
, 2009 peer-reviewedCalculation of the exact prediction error variance covariance matrix is often computationally too demanding, which limits its application in REML algorithms, the calculation of accuracies of estimated breeding values and the control of ...
Veerkamp Roel F +15 more
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Validating task analysis for error identification: Reliability and validity of a human error prediction technique [PDF]
, 2005 This paper reports on the theoretical and empirical developments for an error prediction methodology called task analysis for error identification (TAFEI). Other researchers have noted the need for theoretically driven approaches that are able to provide
Baber, Christopher +4 more
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Striatal prediction error modulates cortical coupling [PDF]
, 2010 Both perceptual inference and motor responses are shaped by learned probabilities. For example, stimulus-induced responses in sensory cortices and preparatory activity in premotor cortex reflect how (un)expected a stimulus is.
Ouden, H.E.M. den +15 more
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Error-type -A novel set of software metrics for software fault prediction [PDF]
, 2023 In software development, identifying software faults is an important task. The presence of faults not only reduces the quality of the software, but also increases the cost of development life cycle.
Ogunshile, Emmanuel +2 more
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Current Biology, 2017 In this quick guide, Wolfram Schultz provides an introduction of reward prediction error, exploring the signal of dopamine neurons and describing its potential role in reward accumulation, decision-making and everyday life.
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Estimating Prediction Error: Cross-Validation vs. Accumulated Prediction Error [PDF]
Communications in Statistics - Simulation and Computation, 2010 We study the validation of prediction rules such as regression models and classification algorithms through two out-of-sample strategies, cross-validation and accumulated prediction error. We use the framework of Efron (1983) where measures of prediction errors are defined as sample averages of expected errors and show through exact finite sample ...
Jenny Häggström, Xavier de Luna
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