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Cognition In The Wild

TLDR
The cognition in the wild is universally compatible with any devices to read and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract
Thank you very much for reading cognition in the wild. Maybe you have knowledge that, people have look hundreds times for their favorite books like this cognition in the wild, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. cognition in the wild is available in our digital library an online access to it is set as public so you can download it instantly. Our book servers spans in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the cognition in the wild is universally compatible with any devices to read.

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Citations
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Journal ArticleDOI

A Rich Landscape of Affordances

TL;DR: The authors argue that the affordances an environment offers to an animal are dependent on the skills the animal possesses and that the landscape of affordances we inhabit as humans is very rich and resourceful.
Book ChapterDOI

Learning in Activity

TL;DR: Situative analyses include hypotheses about principles of coordination that support communication and reasoning in activity systems, including construction of meaning and understanding as discussed by the authors, which is a program of research in the learning sciences that I call "situative".
Journal ArticleDOI

Digital product innovation within four classes of innovation networks

TL;DR: This work argues that advances in digital technologies increase innovation network connectivity by reducing communication costs and increasing its reach and scope and increase the speed and scope of digital convergence, which increases network knowledge heterogeneity and need for integration.
Journal ArticleDOI

Blind Image Quality Assessment via Deep Learning

TL;DR: A blind IQA model is proposed, which learns qualitative evaluations directly and outputs numerical scores for general utilization and fair comparison and is not only much more natural than the regression-based models, but also robust to the small sample size problem.
Journal ArticleDOI

Ten years of a model of aesthetic appreciation and aesthetic judgments : The aesthetic episode – Developments and challenges in empirical aesthetics

TL;DR: The current state of the descriptive information-processing model, and its relation to the major topics in empirical aesthetics today, including the nature of aesthetic emotions, the role of context, and the neural and evolutionary foundations of art and aesthetics are reviewed.
References
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Journal ArticleDOI

Learning about risk: Machine learning for risk assessment

TL;DR: A deep neural network model is developed and tested for a drive-off scenario involving an Oil & Gas drilling rig and shows reasonable accuracy for DNN predictions and general suitability to (partially) overcome risk assessment challenges.
Journal ArticleDOI

Music, empathy and cultural understanding.

TL;DR: A considerable body of research and scholarship is discussed that provides evidence for music's capacity to promote empathy and social/cultural understanding through powerful affective, cognitive and social factors, and ways in which to connect and make sense of this disparate evidence (and counter-evidence).
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The psychology of intelligence analysis: drivers of prediction accuracy in world politics.

TL;DR: A profile of the best forecasters is developed; they were better at inductive reasoning, pattern detection, cognitive flexibility, and open-mindedness; they had greater understanding of geopolitics, training in probabilistic reasoning, and opportunities to succeed in cognitively enriched team environments.
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Representing Student Argumentation as Functionally Emergent From Scientific Activity

TL;DR: This article explored how students' argumentation can be brought into closer alignment with that of scientists, identifying consequential differences in the contexts in which scientists and students typically enact argumentation and discuss how these differences have been addressed in the literature.
Journal ArticleDOI

Knowing Patients: Turning Patient Knowledge into Science

TL;DR: This paper argues for two alternatives to state-of-the-art medical research to turn patient knowledge into science: ethnographies of knowledge practices (how patients know) and the collection and making accessible of techniques (what patients know).