Smoke and Mirrors
James Robert Brown (Routledge: Apr 1994), 216 pages.Realism is an enlightening story, a tale which enriches our experience and makes it more intelligible. Yet this wonderful picture of humanity’s best efforts at knowledge has been badly bruised by numerous critics. James Robert Brown in Smoke and Mirrors fights back against figures such as Richard Rorty, Bruno Latour, Michael Ruse and Hilary Putnam who have attacked realist accounts of science. But this volume is not wholly devoted to combating Rorty and others who blow smoke in our eyes, the second half is concerned with arguing that there are some amazing ways in which science mirrors the world. The role of abstraction, abstract objects and a priori ways of getting at reality are all explored in showing how science reflects reality. Smoke and Mirrors is a defence of science and knowledge in general as well as a defence of a particular way of understanding science. It is of interest to all those who wish or need to know how science works. ~ Product Description
Table of Contents
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- Preface
- Acknowledgements
- 1 Explaining the success of science 3
- Miracles, Darwin and ‘the truth’ 5
- The Darwinian answer 6
- Realism and reference 8
- Realism and verisimilitude 10
- Is hypothetico-deductivism the problem? 13
- Fine’s ontological attitude 15
- Why truth matters (a little) 18
- Narrative explanations 21
- 2 Rorty’s Solidarity 29
- Unforced agreement 29
- Russell’s promiscuity 31
- Kuhn 33
- From God to Gauss 34
- Arguments and pictures 39
- 3 Latour’s prosaic science 41
- 4 The naturalism of Ruse 60
- Naturalism and evolution 60
- Epistemology 61
- Ethics 67
- Evidence 70
- 5 Putnam’s verification 78
- Putnam’s pilgrimage 78
- Truth and rational acceptability 79
- Defining realism 81
- Internal realism 83
- Natural kinds 84
- Relativism 85
- A final note 88
- 6 Knowledge – in the abstract 91
- Laws of nature 91
- Knowledge of laws 98
- Causal empiricism 100
- EPR and the Bell results 102
- The upshot 110
- The argument so far 112
- Thought experiments 113
- 7 Phenomena 117
- Phenomena and data 117
- Phenomena and natural kinds 125
- Diagrams 128
- Phenomena and values 130
- Thought experiments 131
- Phenomena and inference 133
- The structure of data 136
- Feynman diagrams 138
- Concluding remarks 140
- 8 What is the vector potential? 142
- 9 Proof and truth in the abstract realm 160
- Proofs 163
- The later methodology 172
- Definition and ontology 173
- Afterword 184
- Notes 185
- Bibliography 189
- Index 196