Method and system for realizing agent cooperation in mas system under complex network environment

A complex network and intelligent agent technology, applied in the transmission system, data exchange network, digital transmission system, etc., can solve problems such as failure to consider the reliability of intelligent agent cooperation, inability to complete complex network-related tasks, and inability to adjust alliance combination methods , to achieve the effect of stable, efficient and reliable cooperation, guarantee of completion rate, and improvement of reliability value

Active Publication Date: 2021-01-26
HUNAN UNIV
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Problems solved by technology

[0004] However, there are some technical problems that cannot be ignored in the above-mentioned existing agent cooperation mechanisms: First, these two agent cooperation mechanisms cannot adjust the combination of alliances according to the dynamic changes of the network, which leads to the inefficiency of agent cooperation. Low; Second, neither of these two agent cooperation mechanisms takes into account the reliability of agent cooperation, which will lead to the failure of agent cooperation, and then the inability to complete related tasks in complex networks

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  • Method and system for realizing agent cooperation in mas system under complex network environment
  • Method and system for realizing agent cooperation in mas system under complex network environment
  • Method and system for realizing agent cooperation in mas system under complex network environment

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[0056]In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0057]Such asFigure 6As shown, the present invention provides a method for realizing agent cooperation in a MAS system in a complex network environment, including the following steps:

[0058](1) Obtain a complex network topology diagram, where each node represents an agent, and each edge represents the connection between two agents;

[0059](2) Determine multiple initial key nodes from the complex network topology...

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Abstract

The invention discloses a method for realizing intelligent agent cooperation in an MAS system in a complex network environment. The method comprises the steps of obtaining a complex network topological graph, determining a plurality of initial key nodes from the complex network topological graph, obtaining the number of following nodes of each initial key node, sorting all the initial key nodes according to the number of the following nodes; screening sorting results, wherein the screening result forms an initial key node set; for each key node in the obtained initial key node set, enabling each key node and all nodes connected with the key node in the complex network topological graph and not in the initial key node set to form an initial alliance, and taking all the initial alliances ascurrent alliances to form a current alliance set. According to the method, the related cooperation alliance can be formed according to the key nodes on the topological structure, and the current alliance can be adjusted according to the change of the dynamic topological structure, so that a new alliance with a higher cooperation level is formed to bring higher cooperation efficiency.

Description

Technical field[0001]The invention belongs to the field of computer distributed artificial intelligence, and more specifically, relates to a method and system for realizing the cooperation of agents in a MAS system under a complex network environment.Background technique[0002]Multi-agent system (MAS), as one of the two important research branches in the field of distributed artificial intelligence, is currently widely used in social networks, machine learning, financial networks, economic evolution, and game theory. Become a research hotspot in solving large-scale complex system tasks and simulation.[0003]In the MAS environment, agents mostly cooperate to complete related tasks or simulations in complex networks. In view of the self-interested, social, reactive, and proactive characteristics of MAS, traditional agent cooperation mechanisms include basic methods, traditional alliance methods, and rewiring mechanisms. The basic method is random assignment of tasks, conflict and preemp...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50H04L12/24
CPCG06F9/5061H04L41/12H04L41/14
Inventor 刘楚波李敏灿阳王东李肯立全哲肖正李克勤张尧学
Owner HUNAN UNIV
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