Adaptive Associative Scale-Free Maps for Fusing Human and Robotic Intelligences

Abstract

This report results from a contract tasking Eotvos Lorand University as follows: The Grantee will perform research in high level Information Fusion focused on real-time management and cooperative planning in supervised autonomous systems. The research will be guided by two principal considerations: A) human knowledge should influence and guide information gathering and B) collected machine-processed information should reflect human intelligence and be readily comprehensible to the user. The domain is web-based knowledge extraction using crawlers word-maps and scale-free network models. Complete details of expected results and technical contributions are provided in the technical proposal.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2006
Accession Number
ADA462665

Entities

People

  • Andras Lorincz

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automata Theory
  • Cognitive Science
  • Computer Languages
  • Computers
  • Data Mining
  • Human Intelligence
  • Information Science
  • Information Systems
  • Machine Learning
  • Network Science
  • Neural Networks
  • Pattern Recognition
  • Psychology
  • Supervised Machine Learning
  • Web Browsers

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction