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  • Identifying Roles in Multi-Agent Systems by overhearing, Master Thesis, by Maurice Vanderfeesten
    • I did my Masters thesis about Multi-Agent systems (MAS). MAS is an environment, preferably the internet, where Autonomous software agents  can form a virtual organisations instantly, based on their needs, functions, capabilities and competences. An agent is a piece of software that is specialized in a specific function and delivers some output after it has fed input data. A network of agents together form a complex organism, like all the different parts of a human cell. In order to operate in this network each agent is acting with a different behaviour signature. This behaviour is visible to the outside world in the way each of the agents communicate to each other. A new agent entering this vibrant virtual organisation scans for the behaviour of an agent he is compatible with. My research was about to evaluate several different machine learning techniques. The agent had to scan for compatible behaviour in language, agent language, in order to hook on that conversation. The technique can be used for automated stock market insertions, but in basis also for pointing out suspicious behaviour in an array of thousands of surveillance camera’s that need to be monitored by a small number of people.
    • download INF-SCR-05-62_Identifying_Roles_In_Multi-Agent_Systems_By_Overhearing
    • link Identifying Roles in Multi-Agent Systems by overhearing
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