Category: Decision Intelligence
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The power of parsimony
“Walking the talk on multi-level interventions: The power of parsimony“ There is strong consensus regarding the need for multi-level interventions (MLIs) to address today’s complex health problems. The greatest public health burdens globally (e.g., chronic and infectious diseases) derive from a mix of causal and contributing factors and are inherently complex, operating interdependently and reflexively…
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Seven Kinds of Decisions…
“Seven Kinds of Decisions Sports Coaches Make” The article describes the main kinds of decisions coaches make on a regular basis, based on the nature of the thought processes involved. We distinguish seven primary types and one special type. The primary types are roughly ordered from the fast, simple and intuitive at one end, to…
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Functional Trade-offs in Cognition
“Basic Functional Trade-offs in Cognition: An Integrative Framework” by Marco Del Giudice and Bernard J. Crespi, 2018. Trade-offs between advantageous but conflicting properties (e.g., speed vs. accuracy) are ubiquitous in cognition, but the relevant literature is conceptually fragmented, scattered across disciplines, and has not been organized in a coherent framework. This paper takes an initial step toward a general…
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Affect-centered account of motivated behavior
“The affective gradient hypothesis: an affect-centered account of motivated behavior“: everyone agrees that feelings and actions are intertwined, but cannot agree how. According to dominant models, actions are directed by estimates of value and these values shape or are shaped by affect. The article proposes instead that affect is the only form of value that…
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regulation of motivated behavior
in “A unified theoretical framework underlying the regulation of motivated behavior“, Yu-Been Kim, Young Hee Lee, Shee-June Park and Hyung Jin Choi explain that multiple psychological components have evolved in order to orchestrate behaviors for survival. Despite several theories regarding behavior regulation, these theories do not clearly distinguish distinct components and do not explain the…
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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?…
