Timothy Dropps

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The aim of intelligence analysis is to make sense of information that is often conflicting or incomplete, and to weigh competing hypotheses that may explain a situation. This imposes a high cognitive load on analysts, and there are few automated tools to aid them in their task. In this paper, we present an agent-based tool to help analysts in acquiring ,(More)
Social networks foster the development of social sensing to gather data about situations in the environment. Making sense of this information is, however, a challenge because the process is not linear and additional sensed information may be needed to better understand a situation. In this paper we explore how two complementary technologies, Moira and(More)
We demonstrate CISpaces, a system for agent-aided collaborative intelligence analysis. CISpaces exploits collaboration to ease the effort of constructing hypotheses from acquired information. Argu-mentation-based reasoning is employed by a sensemaking agent to identify plausible hypotheses and to compute their likelihood to be justified. Information(More)
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