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The book answers long-standing questions on scientific modeling and
inference across multiple perspectives and disciplines, including
logic, mathematics, physics and medicine. The different chapters
cover a variety of issues, such as the role models play in
scientific practice; the way science shapes our concept of models;
ways of modeling the pursuit of scientific knowledge; the
relationship between our concept of models and our concept of
science. The book also discusses models and scientific
explanations; models in the semantic view of theories; the
applicability of mathematical models to the real world and their
effectiveness; the links between models and inferences; and models
as a means for acquiring new knowledge. It analyzes different
examples of models in physics, biology, mathematics and
engineering. Written for researchers and graduate students, it
provides a cross-disciplinary reference guide to the notion and the
use of models and inferences in science.
The book answers long-standing questions on scientific modeling and
inference across multiple perspectives and disciplines, including
logic, mathematics, physics and medicine. The different chapters
cover a variety of issues, such as the role models play in
scientific practice; the way science shapes our concept of models;
ways of modeling the pursuit of scientific knowledge; the
relationship between our concept of models and our concept of
science. The book also discusses models and scientific
explanations; models in the semantic view of theories; the
applicability of mathematical models to the real world and their
effectiveness; the links between models and inferences; and models
as a means for acquiring new knowledge. It analyzes different
examples of models in physics, biology, mathematics and
engineering. Written for researchers and graduate students, it
provides a cross-disciplinary reference guide to the notion and the
use of models and inferences in science.
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