Automating After Action Review: Attributing Blame or Credit in Team Training

Abstract

This paper presents automated methods for facilitating after action review in team training exercises. Much of the learning from team training arises from frank after-the-fact discussions of the exercise, combining individual attributions of blame or credit into a more objective view of what transpired. These individual attributions are social judgments involving not only causality but also explanations of individual responsibility, free will and mitigating circumstances. Such judgments are a key aspect of social intelligence and underlie social planning, social learning, natural language pragmatics and computational models of emotion. Here we introduce a computational model of this judgment process based on psychological Attribution Theory and discuss its potential to facilitate after action review in team training.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA460293

Entities

People

  • Jonathan Gratch
  • Wenji Mao

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Autonomous Agents
  • Cognition
  • Cognitive Science
  • Computer Science
  • Intelligent Agents
  • Judgment
  • Language
  • Learning
  • Natural Languages
  • Psychology
  • Reasoning
  • Simulations
  • Social Psychology
  • Training
  • United States

Fields of Study

  • Psychology

Readers

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