Framework theories in science

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 2010.

Bibliographic Details
Main Author: Henderson, Leah
Other Authors: Robert Stalnaker.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/62410
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author Henderson, Leah
author2 Robert Stalnaker.
author_facet Robert Stalnaker.
Henderson, Leah
author_sort Henderson, Leah
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description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 2010.
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spelling mit-1721.1/624102019-04-11T03:51:01Z Framework theories in science Henderson, Leah Robert Stalnaker. Massachusetts Institute of Technology. Dept. of Linguistics and Philosophy. Massachusetts Institute of Technology. Dept. of Linguistics and Philosophy. Linguistics and Philosophy. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 2010. "September 2010." Cataloged from PDF version of thesis. Includes bibliographical references (p. 127-133). This thesis consists of three papers on the nature of scientific theories and inference. In many cases, scientific theories can be regarded as organized into hierarchies, with higher levels sometimes called 'paradigms', and lower levels encoding more specific or concrete hypotheses. The first chapter uses hierarchical Bayesian models to show that the assessment of higher level theories may proceed by the same Bayesian principles as the assessment of more specific hypotheses. It thus shows how the evaluation of higher level theories can be evidence-driven, despite claims to the contrary by authors such as Kuhn. The chapter also discusses how hierarchical Bayesian models may help to resolve certain issues for Bayesian philosophy of science, particularly how to model the introduction of new theories. The second chapter discusses the relationship between Inference to the Best Explanation (IBE) and Bayesianism. Van Fraassen has raised the concern that the explanatory considerations in IBE go beyond the Bayesian formalism, making IBE incompatible with Bayesianism. The response so far has been that the explanatory considerations can be accommodated within the Bayesian formalism by stipulating that they should constrain the assignment of the probabilities. I suggest a third alternative, which is that the extra explanatory considerations have their origins in the relationship between higher and lower level theories and can be modeled in Bayesian terms without directly constraining the probabilities. The third chapter discusses an aspect of the debate over scientific realism. The No Miracles argument and the Pessimistic Induction are often seen as the primary arguments for and against scientific realism. Yet recently it has been alleged that both of these arguments commit the base-rate fallacy. I argue that both arguments can be formulated in a non-fallacious manner, so neither should be dismissed on the grounds of faulty form alone. by Leah Henderson. Ph.D. 2011-04-25T15:54:24Z 2011-04-25T15:54:24Z 2010 Thesis http://hdl.handle.net/1721.1/62410 710978844 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 133 p. application/pdf Massachusetts Institute of Technology
spellingShingle Linguistics and Philosophy.
Henderson, Leah
Framework theories in science
title Framework theories in science
title_full Framework theories in science
title_fullStr Framework theories in science
title_full_unstemmed Framework theories in science
title_short Framework theories in science
title_sort framework theories in science
topic Linguistics and Philosophy.
url http://hdl.handle.net/1721.1/62410
work_keys_str_mv AT hendersonleah frameworktheoriesinscience