Structural Counterfactuals: A Brief Introduction

Abstract

Recent advances in causal reasoning have given rise to a computational model that emulates the process by which humans generate, evaluate and distinguish counterfactual sentences. Contrasted with the "possible worlds" account of counterfactuals, this "structural" model enjoys the advantages of representational economy, algorithmic simplicity, and conceptual clarity. This introduction traces the emergence of the structural model and gives a panoramic view of several applications in which counterfactual reasoning has benefited problem areas in the empirical sciences.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA580574

Entities

People

  • Judea Pearl

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Causal Reasoning
  • Cognitive Science
  • Computer Science
  • Decision Theory
  • Equations
  • Gender Discrimination
  • Linear Systems
  • Machine Learning
  • New York
  • Psychological Phenomena And Processes
  • Psychology
  • Reasoning
  • Social Psychology
  • Statistical Inference
  • Statistics

Readers

  • Artificial Intelligence
  • Systems Analysis and Design