Chapter: Chaos and Stochastic Models in Physics: Ontic and Epistemic Aspects

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Home > Models and Inferences in Science > Chaos and Stochastic Models in Physics: Ontic and Epistemic Aspects

Models and Inferences in Science |

Emiliano Ippoliti; Fabio Sterpetti; Tom Nickles

Springer International Publishing

Chaos and Stochastic Models in Physics: Ontic and Epistemic Aspects

Chapter Info

Authors

Sergio Caprara; Angelo Vulpiani

ARI Id

1664263742520_975181

Access

Not Available Free

Pages

133-146

DOI

10.1007/978-3-319-28163-6_8

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-28163-6_8

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-vi
Modeling and Inferring in Science	Emiliano Ippoliti; Thomas Nickles; Fabio Sterpetti	1-9
On ‘The Unreasonable Effectiveness of Mathematics in the Natural Sciences’	Sorin Bangu	11-29
Fast and Frugal Heuristics at Research Frontiers	Thomas Nickles	31-54
Scientific Realism, the Semantic View and Evolutionary Biology	Fabio Sterpetti	55-76
Models of the Skies	Emily Grosholz	77-94
Models of Science and Models in Science	Carlo Cellucci	95-112
Mechanistic Models and Modeling Disorders	Raffaella Campaner	113-132
Chaos and Stochastic Models in Physics: Ontic and Epistemic Aspects	Sergio Caprara; Angelo Vulpiani	133-146
Ways of Advancing Knowledge. A Lesson from Knot Theory and Topology	Emiliano Ippoliti	147-172
Models, Idealisations, and Realism	Juha Saatsi	173-189
Modelling Non-empirical Confirmation	Richard Dawid	191-205
Mathematics as an Empirical Phenomenon, Subject to Modeling	Reuben Hersh	207-218
Scientific Models Are Distributed and Never Abstract	Lorenzo Magnani	219-240
The Use of Models in Petroleum and Natural Gas Engineering	Kahindo Kamau; Emily Grosholz	241-253
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