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. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent systems General Terms Algorithms Keywords Agent-Based Modeling, Cooperation and Coordination Among Agents, Graphical Models, MSBNs, Multiagent Architectures, Uncertain Reasoning

• Type: Conference
• Year: 2006
• Where: ATAL
• Authors: Yang Xiang, Kun Zhang
• Keywords: ATAL 2006, Intelligent Agents, Multiagent, Multiagent Graphical Models, Multiagent Probabilistic Reasoning