Toward a Large-scale Formal Theory of Commonsense Psychology for Metacognition

Abstract

Robust intelligent systems will require a capacity for metacognitive reasoning, where intelligent systems monitor and reflect on their own reasoning processes. A large-scale study of human strategic reasoning indicates that rich representational models of commonsense psychology are available to enable human metacognition. In this paper, we argue that large-scale formalizations of commonsense psychology enable metacognitive reasoning in intelligent systems. We describe our progress toward developing 30 integrated axiomatic theories of commonsense psychology, and discuss the central representational challenges that have arisen in this work to date.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA459164

Entities

People

  • Andrew S. Gordon
  • Jerry R. Hobbs

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computational Linguistics
  • Computer Science
  • English Language
  • Information Science
  • Intelligent Systems
  • Knowledge Management
  • Language
  • Linguistics
  • Natural Languages
  • Psychology
  • Reasoning
  • Thinking

Readers

  • Distributed Systems and Data Platform Development
  • Psychometric Testing or Psychological Assessment.
  • Strategic Security Studies