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

摘要

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.