智能家居系统的Multi-Agent建模研究

doi:10.19784/j.cnki.issn1672-0172.2022.05.001

Abstract

Abstract: Takes the smart home system as the research object, establishes the relevant model through the Multi-Agent theory, and uses the Value Decomposition Networks (VDN) as the model algorithm to optimize the Q function. Based on this, it is proposed to establish the rules database and knowledge database of each Agent in the smart home, and systematically open the BDI (Belief-Demand-Iintention) set of each Agent, so as to quantitatively analyze and optimize the use utility of the smart home from philosophical logic to income modeling.

Key words: Multi-Agent system, Smart home, Scene, Reinforcement learning, Q-learning

CLC Number:

TP27
TP368

QU Zongfeng. Research on smart home system of Multi-Agent modeling[J]. Journal of Appliance Science & Technology, 2022, 0(5): 16-21.

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Research on smart home system of Multi-Agent modeling

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