Co-Arg: Cogent Argumentation with Crowd Elicitation
  This paper presents Co-Arg, a new type of cognitive assistant to an
intelligence analyst that enables the synergistic integration of analyst
imagination and expertise, computer knowledge and critical reasoning, and crowd
wisdom, to draw defensible and persuasive conclusions from masses of evidence
of all types, in a world that is changing all the time. Co-Arg's goal is to
improve the quality of the analytic results and enhance their understandability
for both experts and novices. The performed analysis is based on a sound and
transparent argumentation that links evidence to conclusions in a way that
shows very clearly how the conclusions have been reached, what evidence was
used and how, what is not known, and what assumptions have been made. The
analytic results are presented in a report describes the analytic conclusion
and its probability, the main favoring and disfavoring arguments, the
justification of the key judgments and assumptions, and the missing information
that might increase the accuracy of the solution.
