Solving Conflicts in Knowledge Communication Processes in a Multi-agent Scenario

W. Dangelmaier, D. Br├╝ggemann, and P. Scheideler (Germany)


Intelligent Transportation Systems, Communication ofhidden information, Multiagent System


The objective of the Collaborative research center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" is the ability to assemble comprehensive future mechanical systems from single intelligent units. These units have specific abilities assuming autonomously the solution of a problem. The individual systems are integrated into one overall system being characterized by an active communication and cooperation between the units. If these units exchange information (data), from the IT point of view, we refer to an agent system. An agent of this system is an autonomous, active, and intelligent entity striving to optimize its own behavior either autonomously or in cooperation with other agents. In case a cooperation process optimizes the system, it is necessary for the agents to communicate with each other. Therefore, a multi agent system acting in more than one world of topics and one sort of agent requires a precise notional concept for the receiver and the sender to understand the exchanged message. The solution for achieving this state are ontologies. Ontologies however can only be used to match/communicate facts (words, figures etc.). In our scenario however we also need to match the different evaluations of the environment (learned axioms by combining various facts e.g. if rain > 5mm and wind speed > 50 km/h than condition(bad)) of the agents to understand the others' actions. Thus, we have developed a system environment, which establishes a matching between heterogeneous axioms based on a common ontology.

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