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Research For Multi-Agent Cooperation Based On Formation And Role, Tactics Design

Posted on:2008-11-15Degree:MasterType:Thesis
Country:ChinaCandidate:L K KeFull Text:PDF
GTID:2178360215496601Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Being the main research background of Multi-Agent Systems and Distributed Artificial Intelligence, Robot Soccer World Cup(RoboCup) supplies a standard tournament platform in order to foster the research and development of Robotics and Artificial Intelligence. To make a robot team play effectively, various technologies including design principles of autonomous agents, multi-Agent cooperation, strategy acquisition, real-time reasoning, robotics, and sensor-fusion must be incorporated.Using the multiple agents in RoboCup as research, this dissertation analyzes the cooperation among multiple agents in Multi-Agent Systems, and apply some new methods and new thoughts for our team.First, this paper gets the understanding of the RoboCup simulation system makeup and how it function, including server, monitor and client. After, this paper presents the emphasis of this paper: multi-agent cooperation and Tactics design.This paper achieves purposes as follows:This paper designs a layered Agent architecture, and presents the procedure structure of Client and the flow of match;This paper designs a multi-Agent cooperative model based on dynamic formation and dynamic role, and expounds the cooperative mechanism of this model. Then this paper puts forward an effective method resolving Multi-Agent cooperative conflict;This paper analyzes the traits of tactical behavior, and puts forward our team's holistic decision-making system based on tactics; Afterward this paper implements some concrete tactics, which are testified effective in experiments.In the end, this paper makes a conclusion of the work that has been done, and simply points out what we should do in future.
Keywords/Search Tags:Robot Soccer World Cup(RoboCup), Multi-Agent Systems(MAS), Distributed Artificial Intelligence(DAI), Multi-Agent cooperative model, Agent architecture, Multi-Agent cooperative conflict, Tactics System
PDF Full Text Request
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