Hesse, Mary. Models in Physics
1953, British Journal for the Philosophy of Science 4(15): 198-214.
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Added by: Laura Jimenez
Summary: In this article Hesse defends the idea that scientific theories are hypothetico-deductive in form. She examines this hypothetico-deductive method by considering some examples from nineteenth-century mathematical physics. By means of these examples she brings out two points about scientific hypothesis. The first is that mathematical formalisms, when used as hypotheses in the description of physical phenomena, may function like the mechanical models of an earlier stage in physics, without having in themselves any mechanical or other physical interpret. The second point is that most physicists do not regard models as literal descriptions of nature, but as standing in a relation of analogy to nature.Hesse, Mary. Models and analogies in science1966, University of Notre dame Press.-
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Added by: Laura Jimenez
Summary: In this book Hesse argues, contra Duhem, that models and analogies are integral to understanding scientific practice in general and scientific advancement in particular, especially how the domain of a scientific theory is extended and how theories generate genuinely novel predictions. Hesse thinks that, in order help us to understand a new system or phenomenon, we will often create an analogical model that compares this new system or phenomenon with a more familiar system or phenomenon. Hesse distinguishes different types of analogies according to the kinds of similarity relations in which two objects enter: Positive analogies, negative analogies, and neutral analogies. The crux of the argument is that the recognition of similarities of meaning between paired terms and the recognition of similar causal relations within two analogies plays an essential role in theoretical explanation and prediction in science.Comment: This book is an accessible introduction to the topic of scientific modelling. Useful for teaching in undergraduate courses.
Hesse, Mary. The Structure of scientific inference1974, University of California Press.-
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Added by: Laura Jimenez
Publisher's Note: A danger of a heavily formalist approach to the structure of science is that it may lose sight of the concrete actualities on which scientific inference is exercised. On the other hand, and excessively descriptive and relativist approach fails to achieve a general systematization of models of inference. This book tries to steer a middle course between these extremes. Hesse first discusses some epistemological problems bequeathed by positivists analyses of science and also considers the problem of inductive justification of theories in relation to evidence. Following Keynes and Carnap she argues that the axioms of probability constitute the best postulate system for a logic of confirmation.Comment: Highly recommended for undergraduates. It covers many important points of the topic: confirmation theory, generalizations, causal laws… It is useful for courses in philosophy of science but it could also serve as a further reading for courses in epistemology.
Hesse, Mary. The Hunt for Scientific Reason1980, PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980: 3-22.-
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Abstract: The thesis of underdetermination of theory by evidence has led to an opposition between realism and relationism in philosophy of science. Various forms of the thesis are examined, and it is concluded that it is true in at least a weak form that brings realism into doubt. Realists therefore need, among other things, a theory of degrees of confirmation to support rational theory choice. Recent such theories due to Glymour and Friedman are examined, and it is argued that their criterion of "unification" for good theories is better formulated in Bayesian terms. Bayesian confirmation does, however, have consequences that tell against realism. It is concluded that the prospects are dim for scientific realism as usually understood.Comment: Good article to study in depth the concepts of realism, underdetermination, confirmation and Bayesian theory. It will be most useful for postgraduate students in philosophy of science.
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Comment: A really good paper about models in science, mathematical formalism and hypothesis. Highly recomended for postgraduates studying philosophy of physics, although it could also be readable by undergraduates (last years) with previous knowledge of scientific modelling.