Near Real Time Discovery and Conversion of Open Source Information to a Reward Matrix

Mark Rahmes, Kathy Wilder, Harlan Yates, Kevin Fox

We describe a system model for determining decision making strategies based upon the ability to perform data mining and pattern discovery utilizing open source information to automatically predict the likelihood of reactions to specific events or situational awareness from multiple information sources. Within this paper, we discuss the development of a method for determining actionable information to efficiently propitiate manpower, equipment assets, or propaganda responses to multiple application case scenario experiments. In our experiments, we have integrated open source information linking to human sentiment and manipulated other user selectable interlinking relative probabilities for different reactions to different events based upon current knowledge generated from the situation or event. The goal of our solution, called GlobalSite, is to deliver trustworthy decision making analysis which evaluates situations and potential impacts of such decisions through acquired open source information becoming a vital tool for continuing mission operations, analyst information or other decision making scenarios.

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