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Task allocation is a key issue of agent cooperation mechanism in Multi-Agent Systems. The important features of an agent system such as the latency of the network infrastructure, dynamic topology, and node heterogeneity impose new challenges on the task allocation in Multi-Agent environments. Based on the traditional parallel computing task allocation method and Ant Colony Optimization (ACO), a novel...
On the analysis of the demand of the smart home network, this paper summarizes the characteristics of the smart home network, and proposes a smart home network model based on Multi-Agent System. Each component of the model is presented. It analyzes the function design and implement model for each agent. The paper proposes an improved Q-learning algorithm, which is applied to MAS in the smart home...
Flood is one of the greatest disasters against oilfield manufacture. This paper first describes the key problem of oilfield flood control system, established a large oilfield flood control intelligent decision support system. Then the application research of reservoir grouppsilas flood prevention optimizing schedule algorithm was done based on multi-agent theory. According to the neural network mathematical...
To realize the harmonious interaction between the human user and computer, this paper conceives a structure model of emotional robot based on multi-agent, and makes an extensive introduction about affective model construction, learning model, and perception agent of the emotional model. Firstly, the primary factors that attribute to the generation of robot's emotion are extracted, and then an affective...
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