A group evolution method based on ACP theory under CPSS

A group and theoretical technology, applied in the field of group evolution modeling of large-scale crowd evacuation, to achieve the effect of solving high uncertainty

Inactive Publication Date: 2019-03-01
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, there will still be some accidents caused by emergencies. Therefore, on the basis of existing hardware, scientific theoretical guidelines are also particularly important.

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  • A group evolution method based on ACP theory under CPSS
  • A group evolution method based on ACP theory under CPSS
  • A group evolution method based on ACP theory under CPSS

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Embodiment Construction

[0033] The technical solution proposed by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0034] The present invention proposes a group evolution modeling method based on the ACP theory under the cyber-physical social system. The key points are: under the complex system where the cyber-physical social system is integrated, the management and control of the complex system is realized based on the ACP method. Among them, the ACP theoretical control framework such as figure 1 As shown, the artificial social modeling method using agents solves the problem of difficult modeling of people. Based on this, it is applied to the study of the law of crowd evacuation. Considering the influence of social relations of people on the psychology of the evacuation process, a game of group evolution is established. The analysis model analyzes the state update behavior among individuals, and finally introduces the Q reinforcement learning a...

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Abstract

The invention relates to a group evolution method based on ACP theory under CPSS, belonging to the field of social computing and communication information technology. The technical proposal of the invention comprises the following steps: firstly, defining the node relationship in the social network and quantifying three main influencing factors of the social relationship, including the intimacy degree, the trust degree and the individual persistence degree among the individuals, so as to obtain the herd degree of the individuals. Secondly, the model of group evolutionary game is established, including the game process between individuals and the behavior renewal rules after individual game. Finally, Q reinforcement learning algorithm is introduced to guide the agent to constantly learn andupdate strategies. The invention provides a realizable dynamic model research method for studying the evacuation law of a swarm in a future intelligent environment.

Description

technical field [0001] The invention belongs to the fields of communication information technology and social computing, and relates to a group evolution modeling method for large-scale crowd evacuation in an emergency scene. Background technique [0002] Social public safety has always been the focus of the government and people. Many scholars and researchers have also invested a lot of research in this area. The large-scale crowd congestion caused by emergencies in public places has always been a concern. In subway stations during rush hours, indoor venues where grand events are held, etc., if fires or natural disasters and other emergencies occur, it is very easy to cause large-scale congestion or even stampede and other vicious events due to various factors, bringing extremely bad s consequence. Therefore, it is of great social significance to study crowd evacuation behavior under emergencies. [0003] At present, in the society, relatively closed public places will be...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06Q50/26G06Q50/00
CPCG06F30/20G06Q50/01G06Q50/265
Inventor 胡敏赖礼城黄宏程
Owner CHONGQING UNIV OF POSTS & TELECOMM
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