Category: Decision Intelligence
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Bayesian inference from the ground up
Eric-Jan Wagenmakers and Dora Matzke developed a course book “Bayesian inference from the ground up: The theory of common sense” will be made freely available on their BayesianSpectacles website. Click here to obtain the first 27 chapters and 4 appendix chapters. The website is full of interesting information, including the Let’s Poke a Pizza: A New…
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Insight –> selection of ideas
“Insight and the selection of ideas” describes the mechanisms underlying Eureka heuristic, explained within an active inference framework. Perhaps it is no accident that insight moments accompany some of humanity’s most important discoveries in science, medicine, and art. Here we propose that feelings of insight play a central role in (heuristically) selecting an idea from…
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music and aging | Bayesian inference
“Understanding music and aging through the lens of Bayesian inference“ Bayesian inference has recently gained momentum in explaining music perception and aging. A fundamental mechanism underlying Bayesian inference is the notion of prediction. This framework could explain how predictions pertaining to musical (melodic, rhythmic, harmonic) structures engender action, emotion, and learning, expanding related concepts of music…
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The Edge of Sentience
“The Edge of Sentience: Risk and Precaution in Humans, Other Animals, and AI.” by Jonathan Birch Can octopuses feel pain and pleasure? What about crabs, shrimps, insects, or spiders? How do we tell whether a person unresponsive after severe brain injury might be suffering? When does a fetus in the womb start to have conscious experiences?…
