The Knowledge Machine and the role of confirmation theory in science
Speaker: Michael Strevens (New York University)
Chair: Chuang Liu (Fudan University / CASIP)
Commentators:
1. Darrell Rowbottom (Lingnan University)
2. Casper Storm Hansen (CASIP)
3. Zhu Xu (East China Normal University)
4. Yongping Sun (PKU)
Time: Wednesday, 22th September 2021, 7:30 PM - 9:30 PM (UTC+8)
Online Platform: Zoom
Meeting ID: 489 550 5875
Passcode: 6666
Language: English
Organizers: Institute of Philosophy, Chinese Academy of Sciences (CASIP)
Abstract
The inferential engine of science is the logic of evidential support, aka "confirmation". In 1945, Carl Hempel proposed a simple theory of confirmation that eventually came to be seen as unacceptably unsophisticated: it failed to incorporate the impact of epistemic context, of the "superempirical virtues" (such as simplicity, unity, explanatory elegance, and so on), and it was purely qualitative, telling you when a piece of evidence supported a hypothesis but without quantifying the degree of support. Drawing on ideas in The Knowledge Machine, I will propose that Hempel's theory, precisely because it is simplistic, comes much closer to capturing the logic of evidential support in science than is commonly supposed. From a philosophical perspective it is indeed unacceptable, yet it reflects many aspects of scientific practice very well. Or more exactly, what it reflects is the role of evidential support in scientific publication (as opposed to private scientific reasoning). Using the case of theoretical beauty, I will argue that the way support works in scientific publication is, indeed, strictly speaking irrational. Yet that irrationality, I will suggest, is critical to the success of modern science.
Biography
Michael Strevens was born and raised in New Zealand. He moved to the US in 1991 to undertake a PhD at Rutgers University; currently, he teaches philosophy of science at New York University. His academic work is principally concerned with the nature of science, covering topics such as scientific explanation, understanding, complex systems, probability of various sorts, causation, and the social structure of science; he also applies contemporary research in cognitive psychology to explain aspects of both philosophical and scientific thinking. In The Knowledge Machine, a trade book, he explains why science is so successful at creating knowledge and why it took so long for humans to figure out how to do it right.