论文信息 - Agent interface enhancement: making multiagent graphical models accessible

Agent interface enhancement: making multiagent graphical models accessible

Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the interfaces such that they are both valid and efficient is non-trivial. We present multiagent interface enhancement that relieves agent designers from the burden of model efficiency so that multiagent graphical models become more accessible.

Yang Xiang | Kun Zhang | Y. Xiang | Kun Zhang

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