Interface for Fusing Human and Robotic Intelligence Using Scale-Free Small World Structures

摘要

This report results from a contract tasking Neumann Janos Szamitogep- tudomanyi Tarsasag and Eotvos Lorand University as follows: The contractor will perform exploratory research to investigate scale- free small world network (SSW) technology The techniques developed could be extended to modular Bayesian inferencing. As described in the technical proposal the utility (effectiveness) of the approach will be investigated using two representative problems: I: extraction and Representation of Semantic Information based on Word Associations II: Semantic relations amongst medical documents.