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E-grāmata: Philosophical Perspectives on the Engineering Approach in Biology: Living Machines?

Edited by (University of Copenhagen, Denmark), Edited by (University of Copenhagen, Denmark)
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"Philosophical perspectives on the engineering approach in biology provides a philosophical examination of what has been called the most powerful metaphor in biology : The machine metaphor. The chapters collected in this volume discuss the idea that living systems can be understood through the lens of engineering methods and machine metaphors from both historical, theoretical, and practical perspectives. In their contributions the authors examine questions about scientific explanation and methodology, the interrelationship between science and engineering, and the impact that the use of engineering metaphors in science may have for bioethics and science communication, such as the worry that its wide application reinforces public misconceptions of the nature of new biotechnology and biological life. The book also contains an introduction that describes the rise of the machine analogy and the many ways in which it plays a central role in fundamental debates about e.g. design, adaptation and reductionism in the philosophy of biology. The book will be useful as a core reading to professionals as well as graduate and undergraduate students in courses of philosophy of science and for life scientists taking courses in philosophy of science and bioethics"--

Philosophical Perspectives on the Engineering Approach in Biology provides a philosophical examination of what has been called the most powerful metaphor in biology: The machine metaphor. The chapters collected in this volume discuss the idea that living systems can be understood through the lens of engineering methods and machine metaphors from both historical, theoretical, and practical perspectives.

In their contributions the authors examine questions about scientific explanation and methodology, the interrelationship between science and engineering, and the impact that the use of engineering metaphors in science may have for bioethics and science communication, such as the worry that its wide application reinforces public misconceptions of the nature of new biotechnology and biological life. The book also contains an introduction that describes the rise of the machine analogy and the many ways in which it plays a central role in fundamental debates about e.g. design, adaptation, and reductionism in the philosophy of biology.

The book will be useful as a core reading for professionals as well as graduate and undergraduate students in courses of philosophy of science and for life scientists taking courses in philosophy of science and bioethics.

List of contributors
vii
Acknowledgments viii
Introduction 1(20)
Louisa Holt
Sune Holm
Maria Serban
PART 1 Theoretical issues
21(76)
1 Restless machines
23(17)
Jessica Riskin
2 On being the right size, revisited: the problem with engineering metaphors in molecular biology
40(29)
Daniel J. Nicholson
3 A roomful of robovacs: how to think about genetic programs
69(10)
Brett Calcott
4 Living machines: the extent and limits of the machine metaphor
79(18)
William Bechtel
PART 2 Methodological issues
97(68)
5 Beyond machine-like mechanisms
99(24)
Arnon Levy
William Bechtel
6 Magnetized memories: analogies and templates in model transfer
123(18)
Tarja Knuuttila
Andrea Loettgers
7 Biological robustness: design, organization, and mechanisms
141(24)
Maria Serban
Sara Green
PART 3 Societal issues
165(35)
8 The machine analogy in bioethics
167(19)
Andreas T. Christiansen
9 The machine metaphor in science and science communication
186(14)
Sune Holm
Editors `postscript' 200(3)
Index 203
Sune Holm is Associate Professor in Philosophy at the Department of Food and Resource Economics at the University of Copenhagen. His research mainly focuses on topics in ethics and philosophy of science relating to biology, biotechnology, and artificial intelligence.

Maria Serban is a lecturer in philosophy at University of East Anglia. She is a philosopher of science focusing on modelling practices in the life sciences.