This is Philosophy of Science
An Introduction
This is Philosophy
1. Edition March 2022
304 Pages, Softcover
Textbook
Further versions
A clear and engaging introduction to the philosophy of science, exploring the role of science within the broader framework of human knowledge and engagement with the world
What are the central features and advantages of a scientific worldview? Why do even reasonable scientists sometimes disagree with each other? How are scientific methods different than those of other disciplines? Can science provide an objective account of reality? This is Philosophy of Science introduces the most important philosophical issues that arise within the empirical sciences.
Requiring no previous background in philosophy, this reader-friendly volume covers topics ranging from traditional questions about the nature of explanation and the confirmation of theories to practical issues concerning the design of physical experiments and modeling. Incisive and accessible chapters with relevant case-studies and informative illustrations examine the function of thought experiments, discuss the realism/anti-realism debate, explore probability and theory testing, and address more challenging topics such as emergentism, measurement theory, and the manipulationist account of causation.
* Describes key philosophical concepts and their application in the empirical sciences
* Highlights past and present philosophical debates within the field
* Features numerous illustrations, real-world examples, and references to additional resources
* Includes a companion website with self-assessment exercises and instructor-only test banks
Part of Wiley-Blackwell's popular This Is Philosophy series, This is Philosophy of Science: An Introduction is an excellent textbook for STEM students with interest in the conceptual foundations of their disciplines, undergraduate philosophy majors, and general readers looking for an easy-to-read overview of the subject.
Acknowledgments xi
About the Companion Website xii
1 Pillars of Science: Reasons, Knowledge, and Truth 1
1.1 Epistemic Reasons 2
1.2 Reasoning from Evidence 7
1.3 Knowledge and Truth 11
1.4 Facts, Hypotheses, and Theories 12
1.5 Conclusion 17
2 Evidence, Observation, and Measurement 19
2.1 The Promises of Evidence 19
2.2 Basic Evidence and Derived Evidence 21
2.3 Measurement 26
2.4 Conclusion 31
3 Uses of Evidence 33
3.1 From Observation to Hypothesis 33
3.2 Theory Appraisal 36
3.3 The Demarcation Problem 42
3.4 Conclusion 49
4 Evidence, Rationality, and Disagreement 51
4.1 From Weak to Strong Evidence 51
4.2 Evidence and Rationality 60
4.3 Explaining Scientific Disagreement 63
4.4 Conclusion 69
5 The Nature of Probability 71
5.1 Basics of Probability 71
5.2 Interpretations of Probability 73
5.3 Probabilities as Credences 74
5.4 Epistemic Probabilities 79
5.5 Probabilities as Objective Chances 81
5.6 Probabilities and Defeasible Reasoning 84
5.7 Fallacies 86
5.8 Conclusion 87
6 Do Not Be Misled: Confounds and Controls 88
6.1 Trials and Errors 88
6.2 Treatment and Control 89
6.3 Randomization 94
6.4 Conclusion 99
7 Physical Experiments and Their Design 101
7.1 Historical Remarks 101
7.2 Setting Experimental Parameters 102
7.3 Dependent and Independent Variables 103
7.4 Learning from Experiment 106
7.5 Types of Errors: Pick Your Poison 112
7.6 Relationships between Experiment and Theory 113
7.7 Conclusion 117
8 Experimental Methods That They Don't Teach 119
8.1 Found and Natural Experiments 119
8.2 Thought Experiments 122
8.3 The Structure and Evidential Value of Thought Experiments 133
8.4 Learning from TEs 136
8.5 The Ubiquity of Thought Experiments 139
8.6 Are Computer Simulations Thought Experiments? 141
8.7 Conclusion 142
9 Models: Useful Lies and Informative Fictions 144
9.1 The Nature of Models 146
9.2 Modelling Techniques 153
9.3 Analogies 156
9.4 Learning from Models 159
9.5 Conclusion 165
10 Causation and Causal Inference 167
10.1 What's the Problem with Causation? 167
10.2 Hume's Challenge 168
10.3 Causation as Mere Regularities 170
10.4 Conserved Quantities to the Rescue? 171
10.5 Causation and Manipulation 173
10.6 Conclusion 177
11 Strange Causation - Time Travel and Remote Action 179
11.1 On Influencing the Past 180
11.2 Quantum Mechanics and Locality 191
11.3 Conclusion 196
12 But Is Any of It Real? 198
12.1 Theories and Truth 198
12.2 A Map of the Views 199
12.3 Are Groups Real? 201
12.4 Laws of Nature 205
12.5 Is Everything Real Observable? 208
12.6 Realism vs. Antirealism 213
12.7 Structural Realism 218
12.8 Realism and Explanation 219
12.9 Conclusion 221
13 Explanation and Understanding 223
13.1 The Deductive-Nomological Model 224
13.2 The Causal Model 229
13.3 The Unificationist Model 231
13.4 The Pragmatic Model 234
13.5 What about Realism? 237
13.6 Conclusion 238
14 Fundamental Theories and the Organization of Science 240
14.1 The Layer Cake Model 242
14.2 Classical Reductionism 243
14.3 Functional Concepts 248
14.4 The Functional Model 250
14.5 Emergence 253
14.6 Interdisciplinary Research 257
14.7 Conclusion 259
15 Scientific Progress 262
15.1 Science and Technology 263
15.2 Goals of Science 264
15.3 Reduction in the Limit 265
15.4 How Theories Are Born 266
15.5 What Kind of Progress? 269
15.6 From Theories to Research Programmes 275
15.7 Methodological Anarchism 277
15.8 Incommensurability 279
15.9 Structural Realism and Progress 284
15.10 Conclusion 286
Index 288
JEFFREY A. LOCKWOOD is a Professor of Natural Sciences & Humanities at the University of Wyoming. He worked for 15 years in scientific research and is a recipient of the Pushcart Prize and the John Burroughs award. Professor Lockwood's work has been featured in the Best American Science and Nature Writing.
