A fuzzy-logic approach to information amalgamation: A framework for human-agent collaboration
Timothy Hanratty, Eric Heilman, John T. E. Richardson, Justine P. Caylor · 2017
Current military decision making requires the ability to amalgamate a volume, velocity, variety and veracity of information not seen in most other domains. Confounding the calculation for the value of this information is the realization that seldom does the information agree. Appreciative of these challenges, strides have been made to successfully capture and codify how analysts perceive the value of information (VoI) given its source, content, and latency. Capitalizing on this past success, this paper broadens the scope of VoI research and examines two important and interrelated efforts. Presented first is a novel approach that extends the original VoI calculation from a single element of information to an amalgamation of multiple elements of information that either complement or contradict the original premise. Presented second is a `human-inside-the-loop' concept designed to assist in scaling future autonomous Vol methodologies - effectively interleaving human and machine computation.