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The Hats Simulator Description The Hats Simulator is intended as a resource for the homeland security and data mining academic research communitites. The Hats Simulator was conceived of by Paul Cohen and Niall Adams at Imperial College in the summer of 2002. Cohen implemented the first version of Hats, and Clayton Morrison, Gary King, David Westbrook, Joshua Moody and Andrew Hannon have subsequently developed major portions of the simulator. Availability The Hats Simulator is implemented in Common Lisp and runs in Digitool MCL and OpenMCL on Macintosh OS X. Please contact Paul Cohen or Clayton Morrison if you are interested using using the Hats Simulator in your research. New The Hats Simulator was recently rewritten for space and speed efficiency. Hats 2.0b is available as a beta distribution that runs on Macintosh OS X in Digitool MCL 5.0, OpenMCL 1.1-pre-060608, and Allegro Common Lisp 8.0. The port to Allegro also allows Hats 2.0b to run on Linux and Windows machines with ACL 8.0 installed. Personnel
Paul R. Cohen Funding Papers
Presentations
Other Documents
Talks
© 2006, the Center for Research on Unexpected Events. All rights reserved.
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The Hats Simulator is designed to be a lightweight proxy for many
intelligence analysis problems, and thus as a test environment for
analysts' tools.
Hats is a virtual world in which many agents engage in individual and
collective activities. Most agents are benign, some intend harm.
Agent activities are planned by a generative planner. Playing against
the simulator, the goal of the analyst is to identify and arrest
harmful agents before they carry out their plans. The simulator
provides both scalar and categorical information. Information fusion
tasks in the Hats domain include assessing information value, choosing
information collection strategies, tracking individuals and resources,
identifying events, hypothesizing group membership, ascribing
suspicion, and identifying plans. The simulator maintains information
about all the agents. However, information is hidden from analysts and
some is expensive. The Hats Information Broker provides information
about the state of the Hats simulation. The more paid for a report,
the higher quality the information. After each game, the analyst is
assessed a set of scores including the cost of acquiring information
about agents, the cost of falsely accusing benign agents, and the cost
of failing to detect harmful agents. The value of analysts' tools is
expressed as reductions of these costs. The simulator is implemented
an currently manages the activities of hundreds of thousands of
agents.