|
Showing 1 - 5 of
5 matches in All Departments
This book provides a critical reflection on automated science and
addresses the question whether the computational tools we developed
in last decades are changing the way we humans do science. More
concretely: Can machines replace scientists in crucial aspects of
scientific practice? The contributors to this book re-think and
refine some of the main concepts by which science is understood,
drawing a fascinating picture of the developments we expect over
the next decades of human-machine co-evolution. The volume covers
examples from various fields and areas, such as molecular biology,
climate modeling, clinical medicine, and artificial intelligence.
The explosion of technological tools and drivers for scientific
research calls for a renewed understanding of the human character
of science. This book aims precisely to contribute to such a
renewed understanding of science.
This book provides a critical reflection on automated science and
addresses the question whether the computational tools we developed
in last decades are changing the way we humans do science. More
concretely: Can machines replace scientists in crucial aspects of
scientific practice? The contributors to this book re-think and
refine some of the main concepts by which science is understood,
drawing a fascinating picture of the developments we expect over
the next decades of human-machine co-evolution. The volume covers
examples from various fields and areas, such as molecular biology,
climate modeling, clinical medicine, and artificial intelligence.
The explosion of technological tools and drivers for scientific
research calls for a renewed understanding of the human character
of science. This book aims precisely to contribute to such a
renewed understanding of 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.
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.
Sono qui raccolti i testi di alcune conferenze e seminari tenuti da
Mirella Capozzi su temi di storia della logica in un lungo arco di
tempo, testi che si e voluto mantenere per quanto piu possibile
vicini all'impianto e alla forma originale che avevano all'epoca in
cui furono redatti.
|
|