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Nischal Mainali, Liam Meier, Elliott Ash, and Daniel L. Chen
Ryan Whalen (ed.), 2020
What modes of moral reasoning do judges employ? We construct a linear SVM classifier for moral reasoning mode trained on applied ethics articles written by consequentialists and deontologists. The model can classify a paragraph of text in held out data with over 90 percent accuracy. We then apply...
David Martimort, and Lars Stole
vol. 2, n. 3, 2020, pp. 375–396
Sylvain Billiard, Maxime Derex, Ludovic Maisonneuve, and Thomas Rey
vol. 30, n. 14, December 2020, pp. 2697–2723
Understanding how knowledge is created and propagates within groups is crucial to explain how human populations have evolved through time. Anthropologists have relied on different theoretical models to address this question. In this work, we introduce a mathematically oriented model that shares...
Henrik Andersson
Niek Mouter (ed.), vol. 6, chapter 3, 2020, pp. 75–99
The monetary value of preventing one statistical death is usually defined as the value of a statistical life (VSL), which is the focus of this chapter. It represents how much society would be willing to spend to prevent one unidentified death, but since no easily available prices exist for this...
Koen Jochmans
vol. 36, December 2020, pp. 1159–1166
n. 35, December 2020, pp. 860–878
Paul Seabright
n. 10, 2020, pp. 345–357
The fact that adherents of most religions subscribe sincerely to many counter-empirical beliefs has been argued to pose a challenge to evolutionary explanations of religion, since natural selection is considered to have developed sophisticated cognitive mechanisms to enable prehistoric foragers to...
Yu Cao, Elliott Ash, and Daniel L. Chen
vol. 50, December 2020, pp. 451–467
This paper studies the problem of automated classification of fact statements and value statements in written judicial decisions. We compare a range of methods and demonstrate that the linguistic features of sentences and paragraphs can be used to successfully classify them along this dimension....
Ian Schindler, and Cyril Tintarev
vol. 5, n. 5, 2020, pp. 1237–1247
Jérôme Bolte, and Edouard Pauwels
Hugo Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (eds.), vol. 33, 2020
Automatic differentiation, as implemented today, does not have a simple mathematical model adapted to the needs of modern machine learning. In this work we articulate the relationships between differentiation of programs as implemented in practice, and differentiation of nonsmooth functions. To...
