From Probability to Consilience: How Explanatory Values Implement Bayesian Reasoning
Abstrak
Recent work in cognitive science has uncovered a diversity of explanatory values, or dimensions along which we judge explanations as better or worse. We propose a Bayesian account of these values that clarifies their function and shows how they fit together to guide explanation-making. The resulting taxonomy shows that core values from psychology, statistics, and the philosophy of science emerge from a common mathematical framework and provide insight into why people adopt the explanations they do. This framework not only operationalizes the explanatory virtues associated with, for example, scientific argument-making, but also enables us to reinterpret the explanatory vices that drive phenomena such as conspiracy theories, delusions, and extremist ideologies.
Topik & Kata Kunci
Penulis (2)
Zachary Wojtowicz
S. Dedeo
Akses Cepat
- Tahun Terbit
- 2020
- Bahasa
- en
- Total Sitasi
- 36×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1016/J.TICS.2020.09.013
- Akses
- Open Access ✓