Representation and Analysis of Probabilities Intelligence Data (RAPID)

Abstract

Tools were developed for the representation and analysis of uncertainty in INTEL data and targeted uncertainty reduction. The purpose is to help INTEL analysts answer these questions: 1) What hypotheses can be validated/refuted based on available uncertain data and at what level of certainty? 2) What missing data is critical for verifying or refuting given hypotheses and increasing the certainty of current conclusions? 3) What are the tradeoffs between the value of specific missing data and cost and difficulty of obtaining it?

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2009
Accession Number
ADA498238

Entities

People

  • Anatole Gershman
  • Dwight Dietrich
  • Eugene Fink
  • Ganesh Mani
  • Jaime Carbonell

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Application Software
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Computational Science
  • Computations
  • Computer Programming
  • Databases
  • Information Processing
  • Information Science
  • Information Systems
  • Intelligence Collection
  • Machine Learning
  • Probability
  • Probability Distributions

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Organizational Psychology.
  • Systems Analysis and Design