The emerging ”Computational Grid” infrastructure poses many new opportunities for the developing science of large scale multiagent simulation. The ability to migrate agent expe...
Les Gasser, Kelvin Kakugawa, Brant Chee, Marc Este...
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...
Despite the impressive progress of logic synthesis in the past decade, finding the best architecture for a given circuit still remains an open problem and largely unsolved. In mos...
Before the powerful agent programming paradigm can be adopted in commercial or industrial settings, a complete environment, similar to that for other programming languages, must b...
John R. Graham, Daniel McHugh, Michael Mersic, Fos...
Team decision making under stress involving multiple contexts is an extremely challenging issue faced by various real world application domains. This research is targeted at coupl...
Xiaocong Fan, Bingjun Sun, Shuang Sun, Michael D. ...