Cognitive Agents for Knowledge Discovery

Abstract

Discovery of new knowledge, that is, knowledge that we do not already possess, is the focus of this research. This problem can be formulated as an inverse problem, where the new knowledge can be represented by the parameters of a black box model. The solution can then be viewed as the culmination of a sequence of problem solving steps: search, composition, integration and discovery. A well designed cognitive agent capable of learning, adaptation and optimization can accomplish this task.

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Document Details

Document Type
Technical Report
Publication Date
Feb 05, 2008
Accession Number
ADA476944

Entities

People

  • V. R. Vemuri

Organizations

  • University of California

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Bayesian Inference
  • Bayesian Networks
  • California
  • Classification
  • Clustering
  • Computational Science
  • Computer Science
  • Data Sets
  • Department Of Defense
  • Intrusion Detection
  • Inverse Problems
  • Learning
  • Machine Learning
  • Models
  • Probability

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design