Plenty of Blame to Go Around: A Qualitative Approach to Attribution of Moral Responsibility

Abstract

We present a computational model of blame attribution. Recently Mao and Gratch, following Attribution theory, created a computational model that assigned blame to an agent for a negative occurrence. Their model made categorical judgments, and could only assign blame to a single agent. Our model extends this work, using QP theory to provide a continuous model for the parameters involved in attribution and directly capturing the constraints postulated by Attribution theory. This allows our model to infer relative amounts of blame in a situation in a manner that is consistently overall with relative amounts of blame attributed in a psychological experiment.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA470434

Entities

People

  • Emmett Tomai
  • Ken Forbus

Organizations

  • Northwestern University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Cognition
  • Cognitive Science
  • Corporations
  • Decomposition
  • Economic Models
  • Environment
  • Interpersonal Relations
  • Judgment
  • Language
  • Natural Languages
  • Psychological Phenomena And Processes
  • Psychology
  • Reasoning
  • Social Psychology
  • Test And Evaluation
  • Universities

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Computational Modeling and Simulation
  • Educational Psychology

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks