Modeling Morality in 3-D: Decision-Making, Judgment, and Inference

Hongbo Yu, Jenifer Z. Siegel, Molly J. Crockett

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Humans face a fundamental challenge of how to balance selfish interests against moral considerations. Such trade-offs are implicit in moral decisions about what to do; judgments of whether an action is morally right or wrong; and inferences about the moral character of others. To date, these three dimensions of moral cognition–decision-making, judgment, and inference–have been studied largely independently, using very different experimental paradigms. However, important aspects of moral cognition occur at the intersection of multiple dimensions; for instance, moral hypocrisy can be conceived as a disconnect between moral decisions and moral judgments. Here we describe the advantages of investigating these three dimensions of moral cognition within a single computational framework. A core component of this framework is harm aversion, a moral sentiment defined as a distaste for harming others. The framework integrates economic utility models of harm aversion with Bayesian reinforcement learning models describing beliefs about others’ harm aversion. We show how this framework can provide novel insights into the mechanisms of moral decision-making, judgment, and inference.

Original languageEnglish (US)
Pages (from-to)409-432
Number of pages24
JournalTopics in Cognitive Science
Volume11
Issue number2
DOIs
StatePublished - Apr 2019
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Linguistics and Language
  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Artificial Intelligence

Keywords

  • Computational models
  • Harm aversion
  • Moral cognition
  • Moral decision-making
  • Moral inference
  • Moral judgment

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