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MESSIE is a centralized hierarchical blackboard architecture.
The blackboard architecture includes central blackboard architecture and distributed one.
The prototype system is developed by employing blackboard architecture and a commercial shell VISUAL RULE STUDIO.
Based on graph theory, this mechanism provides a way to adjust the distributed blackboard architecture.
The Blackboard architecture supports the dynamic alteration of planned routes in response to changes in traffic conditions and passenger requests.
It is demonstrated that the blackboard architecture is capable of integrating different knowledge together in an effective manner.
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In the agent blackboard communication architecture, agents do not interact with each other directly but through blackboard.
To solve such problem, this paper presents a model for constructing agent blackboard communication architecture based on graph theory.
The translator is based on a blackboard control architecture with a set of demons that cooperate to generate the translated contents.
In blackboard communication architecture, the location of central blackboard (or distributed sub-blackboards) and communication topology among sub-blackboards are two important issues that can influence the agent communication performance very much.
At last, several case studies and simulation experiments are conducted, which prove that the presented model can construct the effective agent blackboard communication architecture.
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