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Probabilities, laws, and structures

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Cover of 'Probabilities, laws, and structures'

Table of Contents

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    Book Overview
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    Chapter 1 Dutch Book Arguments and Imprecise Probabilities
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    Chapter 2 Objectifying Subjective Probabilities: Dutch Book Arguments for Principles of Direct Inference
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    Chapter 3 The Foundations of Statistics: Inference vs. Decision
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    Chapter 4 On the Verisimilitude of Tendency Hypotheses
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    Chapter 5 Tweety, or Why Probabilism and even Bayesianism Need Objective and Evidential Probabilities
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    Chapter 6 Pluralism in Probabilistic Justification
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    Chapter 7 One Size Does Not Fit All: Proposal for a Prior-adapted BIC
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    Chapter 8 Mathematical Biology and the Existence of Biological Laws
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    Chapter 9 On Empirical Generalisations
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    Chapter 10 The Limits of Interventionism – Causality in the Social Sciences
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    Chapter 11 Causal Realism
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    Chapter 12 Structural Invariants, Structural Kinds, Structural Laws
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    Chapter 13 Santa’s Gift of Structural Realism
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    Chapter 14 The Resilience of Laws and the Ephemerality of Objects: Can a Form of Structuralism be Extended to Biology?
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    Chapter 15 Natural Kinds, Conceptual Change, and the Duck-Bill Platypus: LaPorte on Incommensurability
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    Chapter 16 Essentialism About Kinds: An Undead Issue in the Philosophies of Physics and Biology?
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    Chapter 17 Biological Laws and Kinds Within a Conservative Reductionist Framework
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    Chapter 18 Why It Is Time to Move Beyond Nagelian Reduction
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    Chapter 19 Probability, Indeterminism and Biological Processes
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    Chapter 20 Bayesianism, Convergence and Molecular Phylogenetics
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    Chapter 21 Quantities as Realistic Idealizations
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    Chapter 22 Mathematics as Quasi-matter to Build Models as Instruments
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    Chapter 23 Mathematical Models and Economic Forecasting: Some Uses and Mis-Uses of Mathematics in Economics
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    Chapter 24 Technomathematical Models in the Social Sciences
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    Chapter 25 The Use of Mathematics in Physics and Economics: A Comparison
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    Chapter 26 Mathematics in Cognitive Science
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    Chapter 27 What Can the Social Sciences Learn from the Process of Mathematization in the Natural Sciences
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    Chapter 28 Probability, Statistics, and Law
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    Chapter 29 Experiments in Political Science: The Case of the Voting Rules
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    Chapter 30 The Beginning of Model Theory in the Algebra of Logic
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    Chapter 31 Incomplete Symbols and the Theory of Logical Types
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    Chapter 32 Statistical Thinking between Natural and Social Sciences and the Issue of the Unity of Science: from Quetelet to the Vienna Circle
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    Chapter 33 The Backbone of the Straw Man Popper’s Critique of the Vienna Circle’s Inductivism
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    Chapter 34 Carnap’s Logic of Science and Personal Probability
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    Chapter 35 Erwin Schrödinger, Vienna Indeterminist
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    Chapter 36 Some Historical and Philosophical Aspects of Quantum Probability Theory and its Interpretation
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Title
Probabilities, laws, and structures
Published by
Springer Verlag, January 2012
DOI 10.1007/978-94-007-3030-4
ISBNs
978-9-40-073029-8, 978-9-40-073030-4
Authors

Dieks, Dennis Geert Bernardus Johan

Editors

Dennis Dieks, Wenceslao J. Gonzalez, Stephan Hartmann, Michael Stöltzner, Marcel Weber

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Canada 1 2%
Austria 1 2%
Unknown 43 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 19%
Student > Master 8 17%
Professor 8 17%
Student > Ph. D. Student 5 11%
Student > Bachelor 3 6%
Other 10 21%
Unknown 4 9%
Readers by discipline Count As %
Philosophy 14 30%
Social Sciences 7 15%
Arts and Humanities 3 6%
Agricultural and Biological Sciences 3 6%
Computer Science 3 6%
Other 10 21%
Unknown 7 15%