'Falsificationism' presentation slideshows

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Problems for Verificationism

Problems for Verificationism

Problems for Verificationism. recap. Verificationism. A word or a sentence i s conventionally associated with a set of experiences. Those experiences correlate with certain states of the world: whenever you have those experiences, the world is that way.

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1.16k views • 82 slides
A Defense of Computational Physics (Popper�s Non-Verifiability vs. Computational Validation)

A Defense of Computational Physics (Popper�s Non-Verifiability vs. Computational Validation)

A Defense of Computational Physics (Popper�s Non-Verifiability vs. Computational Validation). Patrick J. Roache hermosa@sdc.org ASME Verification and Validation Symposium May 2-4, 2012 Las Vegas, Nevada USA. Popper�s Non-Verifiability vs. Computational Validation.

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753 views • 56 slides
Lecture 1 What is a good question?

Lecture 1 What is a good question?

Research Methods National Research University HSE Economics, Ph. D Program Dr C S Leonard June 2011. Lecture 1 What is a good question?. Outline of lecture. Knowledge Claims Classical Approaches Post-positivism Strategies of inquiry Data mining Desig n-based research

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750 views • 53 slides
Popper: Falsificationism

Popper: Falsificationism

Popper: Falsificationism. From �falsifiability� as the criterion that distinguishes science from �pseudo-science� to �falsificationism� as a model of scientific method/reasoning.

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675 views • 24 slides
Lecture 8

Lecture 8

Lecture 8. More mental gymnastics Tales from the history of science Popper�s �solution� to the problem of induction Which of two possible conclusions about scientific reasoning is Popper actually arguing for? Is either argument successful?.

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384 views • 24 slides
A Prehistory to STS

A Prehistory to STS

A Prehistory to STS. D. Gruber STS 214. What is Science?. Standard definition: � Science� is�? The �scientific� is �. Some phrases to consider. �Science is a formal activity that creates and accumulates knowledge by directly confronting the natural world .�

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685 views • 20 slides
How close should experiments be to models and why?

How close should experiments be to models and why?

How close should experiments be to models and why?. Drawing on �Experimental Economics: Rethinking the Rules� by N.Bardsley, R.Cubitt, G.Loomes, P.Moffatt, C.Starmer and R.Sugden, forthcoming, PUP. Economics experiments tend to resemble formal models

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315 views • 18 slides

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