Rethinking Intuition

Rethinking Intuition
Author: Michael Raymond DePaul
Publisher: Rowman & Littlefield
Total Pages: 360
Release: 1998
Genre: Philosophy
ISBN: 9780847687961

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Ancients and moderns alike have constructed arguments and assessed theories on the basis of common sense and intuitive judgements. This volume brings together a group of philosophers and psychologists to discuss these issues. It contains a collection of essays discussing intuition from two different perspectives. They also cover how psychological research seems to pose serious challenges to traditional intuition-driven philosophical enquiry.


Rethinking Intuition
Language: en
Pages: 360
Authors: Michael Raymond DePaul
Categories: Philosophy
Type: BOOK - Published: 1998 - Publisher: Rowman & Littlefield

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Ancients and moderns alike have constructed arguments and assessed theories on the basis of common sense and intuitive judgements. This volume brings together a
Apprehension
Language: en
Pages: 201
Authors: Lynn Holt
Categories: Social Science
Type: BOOK - Published: 2018-10-24 - Publisher: Routledge

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This title was first published in 2002. This work introduces and explores the role of apprehension in reasoning - setting out the problems, determining the voca
Intuition
Language: en
Pages: 258
Authors: Elijah Chudnoff
Categories: Philosophy
Type: BOOK - Published: 2013-12-05 - Publisher: OUP Oxford

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We know about our immediate environment—about the people, animals, and things around us—by having sensory perceptions. According to a tradition that traces
Intuitions
Language: en
Pages: 305
Authors: Anthony Robert Booth
Categories: Philosophy
Type: BOOK - Published: 2014-07-10 - Publisher: OUP Oxford

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Intuitions may seem to play a fundamental role in philosophy: but their role and their value have been challenged recently. What are intuitions? Should we ever
Statistical Rethinking
Language: en
Pages: 488
Authors: Richard McElreath
Categories: Mathematics
Type: BOOK - Published: 2018-01-03 - Publisher: CRC Press

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Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need