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Nicholas Shea

Researcher at School of Advanced Study

Publications -  61
Citations -  2246

Nicholas Shea is an academic researcher from School of Advanced Study. The author has contributed to research in topics: Consciousness & Metacognition. The author has an hindex of 24, co-authored 56 publications receiving 1854 citations. Previous affiliations of Nicholas Shea include King's College London & University of Oxford.

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Supra-personal cognitive control and metacognition

TL;DR: A ‘dual systems’ framework for thinking about metacognition is proposed that allows agents to share metacognitive representations and creates benefits for the group and facilitates cumulative culture.
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The neuroethics of non-invasive brain stimulation

TL;DR: New neuroethical problems that have emerged from the usage of TDCS are discussed, and one of the most likely future applications ofTDCS is focused on enhancing learning and cognition in children with typical and atypical development.
Book

Representation in Cognitive Science

Nicholas Shea
TL;DR: Shea as discussed by the authors uses a series of case studies from the cognitive sciences to develop a naturalistic account of the nature of mental representation, focusing on the'subpersonal' representations that pervade so much of cognitive science.
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Three epigenetic information channels and their different roles in evolution

TL;DR: It is shown that epigenetic mechanisms can serve two fundamentally different functions in transgenerational inheritance: (i) selection‐based effects, which carry adaptive information in virtue of selection over many generations of reliable transmission; and (ii) detection‐basedeffects, which are a transgenerations form of adaptive phenotypic plasticity.
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Consumers Need Information: Supplementing Teleosemantics with an Input Condition

TL;DR: The new ‘infotel-semantics’ adds an input condition to the output condition offered by teleosemantics, recognising that it is constitutive of content in a simple representing system that the tokening of a representation should correlate probabilistically with the obtaining of its specific evolutionary success condition.