Author/Authors :
Steven R. Haynes and Thomas George Kannampallil، نويسنده , , Lawrence L. Larson، نويسنده , , Nitesh Garg، نويسنده ,
Abstract :
Since spring of 2002 we have been working on a methodology,
decision model, and cognitive support system to
aid with effective allocation of anti-terrorism (AT) resources
at Marine Corps installations. The work has so
far been focused on the military domain, but the model
and the software tools developed to implement it are
generalizable to a range of commercial and publicsector
settings including industrial parks, corporate
campuses, and civic facilities. The approach suggests
that anti-terrorism decision makers determine mitigation
project allocations using measures of facility priority
and mitigation project utility as inputs to the allocation
algorithm. The three-part hybrid resource allocation
model presented here uses multi-criteria decisionmaking
techniques to assess facility (e.g., building,
hangar) priorities, a utility function to calculate antiterrorism
project mitigation values (e.g., protective glazing,
wall coatings, and stand-off barriers) and optimization
techniques to determine resource allocations
across multiple, competing AT mitigation projects. The
model has been realized in a cognitive support system
developed as a set of loosely coupled Web services. The
approach, model, and cognitive support system have
been evaluated using the cognitive walkthrough method
with prospective system users in the field. In this paper
we describe the domain, the problem space, the decision
model, the cognitive support system and summary
results of early model and system evaluations.