Results 81 to 90 of about 14,401 (279)
Frontiers in Psychology, 2015 Bayesian reasoning, defined here as the updating of a posterior probability following new information, has historically been problematic for humans. Classic psychology experiments have tested human Bayesian reasoning through the use of word problems and ...
Gary L. Brase, W. Trey eHill
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Advanced Science, EarlyView.Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Base-rate Respect by Intuition: Approximating Rational Choices in Base-rate Tasks with Multiple Cues [PDF]
Although intuitive-automatic processes sometimes lead to systematic biases in judgment and choice, in many situations especially this kind of processes enables people to approximate rational choices.
Stephan Dickert, Andreas Glöckner
core
Advanced Science, EarlyView.An integrative review of microfluidics‐enabled wearables and implantable systems reveals a single‐track translation pipeline, bridging functional biomaterials with clinical utility. Dynamic feedback loops driven by artificial intelligence advance diagnostics toward personalized closed‐loop theranostics.
Ke Huang +3 more
wiley +1 more source
Laplace’s Theories of Cognitive Illusions, Heuristics and Biases
Statistical Science, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Miller, Joshua B., Gelman, Andrew
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PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction
Advanced Science, EarlyView.PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
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On heuristic and linear models of judgment: Mapping the demand for knowledge [PDF]
Research on judgment and decision making presents a confusing picture of human abilities. For example, much research has emphasized the dysfunctional aspects of judgmental heuristics, and yet, other findings suggest that these can be highly effective.
Robin Hogarth, Natalia Karelaia
core
Advanced Science, EarlyView.Large language models serve as representation generators for gradient‐free scientific optimization. Two complementary approaches produce executable battery‐charging policies either directly or through LLM‐designed neural representations coupled to Bayesian optimization.
Ge Lei +3 more
wiley +1 more source
The challenges of behavioural insights for effective policy design
Policy & Society, 2019 Behavioural insights are becoming increasingly popular with policy practitioners. Findings and methods originally provided by cognitive psychology and later behavioural economics have found use in the formulation of public policies.
Colin R. Kuehnhanss
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Can behavioural biases in choice under novelty explain innovation failures?
Prometheus, 2010 This paper proposes a new framework of ‘behavioural innovation economics’ as a synthesis of behavioural economics and innovation economics in the context of choice under novelty.
Jason Potts
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