Aaron Mannes

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Social networks are a popular movement on the web. Trust can be used effectively on the Semantic Web as annotations to social relationships. In this paper, we present a two level approach to integrating trust, provenance, and annotations in Semantic Web systems. We describe an algorithm for inferring trust relationships using provenance information and(More)
—Lashkar-e-Taiba (LeT for short) is one of the deadliest terrorist groups in the world. With over 100 attacks worldwide since 2004, LeT has become a political force within Pakistan, a proxy militia for the Pakistani Army, and a terror group that can carry out complex, coordinated attacks such as the 2008 Mumbai attacks. We have collected 25 years of data(More)
This paper focuses primarily on the Person Successor Problem (PSP): when a terrorist is removed from a terrorist network, who is most likely to take his place? We leverage the solution to PSP to predict a new terrorist network after removal of a set of terrorists and to answer the question: which set of <i>k</i> (<i>k</i> &gt; 0) terrorists should be(More)
—Lashkar-e-Taiba (LeT) is one of the deadliest terrorist groups in the world. With over 100 attacks worldwide since 2004, LeT has become a political force within Pakistan, a proxy fighting force for the Pakistani Army, and a terror group that can carry out complex, coordinated attacks such as the 2008 Mumbai attacks. In this paper, we develop a(More)
" Training to Fight Insurgent Forces " (TFIF) is a training environment in which Marine and Coalition commanders can practice military tactics against realistic asymmetric forces. TFIF integrates a game theoretic approach to specifying enemy tactics. In a traditional game theoretic approach, the red and blue force actions and payoffs are modeled in payoff(More)
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