Rational Learners and Moral Rules

Abstract

People draw subtle distinctions in the normative domain. But it remains unclear exactly what gives rise to such distinctions. On one prominent approach, emotion systems trigger non‐utilitarian judgments. The main alternative, inspired by Chomskyan linguistics, suggests that moral distinctions derive from an innate moral grammar. In this article, we draw on Bayesian learning theory to develop a rational learning account. We argue that the ‘size principle’, which is implicated in word learning, can also explain how children would use scant and equivocal evidence to interpret candidate rules as applying more narrowly than utilitarian rules.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 01, 2016
Source ID
10.1111/mila.12119

Entities

People

  • Alisabeth Ayars
  • Hoi‐yee Chan
  • Shaun Nichols
  • Shikhar Kumar
  • Theresa Lopez

Organizations

  • Hamilton College
  • Office of Naval Research
  • Princeton University
  • University of Arizona

Tags

Readers

  • Artificial Intelligence
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Theoretical Analysis.

Technology Areas

  • AI & ML