Multi-Agent System Research Map

The picture above shows the research map for multi-agent systems. Click on the bright areas to view detailed information about the selected topic.

An agent itself has some external structure and several internal architectures with respect to the used mental concepts are known. Additionally several different AI approaches exist to make agents more intelligent by enabling them to deduce facts or learn new facts. To become part of a community the agent has to be capable of communicating with other agents. In this context esp. the concepts of communications (ontologies) and the mechanisms of communications (protocols) are interesting subfields. Another aspect of the agents participation in a community is the struture of the community itself. Social structures describe the (varying) relationships between different agents (e.g. boss, friend). Social structures are the requirements for achieving and establishing team-work. The software agent resides on a special place. Mobility aspects describe on the one hand mobile agents resp. mobile code and on the other hand they can refer to mobile devices on which an agent is located.