Intelligent Information Processing II: IFIP TC12/WG12.3 by Zhongzhi Shi

By Zhongzhi Shi

This booklet relies on IIP2004, which gives a discussion board for engineers and scientists inВ  academia, college and to provide their most up-to-date examine findings in any point of clever info processing.В  Papers on intelligence technology, clever brokers, computer studying, and autonomic computing, in addition to papers that spotlight bioinformatics, e-commerce, and company intelligence have been presented.В  IIP2004 meets the desires of a big and numerous neighborhood.

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Too weak constrains, however, will impose little influences on the autonomous agent’s behaviors. The macro modeling of the organization constraints are important, as well-defined specification and tradeoff of organization constraints will facilitate the micro-level reason and specification of organization constraints. Figure 1. The Extended Strategic Dependency Model For the example described in section 2, we can identify the following three actors in the early requirement analysis phase: Consumer, Producer and Intelligent Information Processing II 7 InfoSystem, where Consumer and Producer actors are actually the stakeholders of the system.

Let F= be a MLPMAS, where At MH, MSS or HS level, for we have two parts of inputs: message input and knowledge input, denoted by MessageInput(a,X) and KnowledgeInput(a,Y) respectively. That is, Input(a) =< MessageInput(a,X),KnowledgeInput(a,Y) > here X, Y are subsets of A. e. we know there is a communication channel between agent a and agent b, and agent a and agent respectively. Message input is the information that an agent sends to another agent for the communication purpose. Such as one agents informs another agent that it will move into another MSS geographic area.

For we have two parts of output, message output and knowledge output, denoted by MessageOutput(a,X) and KnowledgeOutput(a,Y) respectively. That is, Output(a) =< MessageOutput(a, X), KnowledgeOutput(a, Y) > here Agent a sends message output to agents in X, and sends knowledge output to agents in Y. Message output is information output for communication purpose, this information will not cause any influence to the other agent’s local knowledge base, while knowledge output is the information that produced by the agent’s local knowledge base and will have impact for the other agent’s knowledge base.

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