Abstract
Challenges in modern industry such as high complexity inside companies and in the environment, ever increasing dynamics to react to, integration of many different partners and world-wide distribution of supply and production networks seem to really demand for the promises of agent systems. Multi agent systems handle complex systems by dividing them into smaller pieces. Agents can react to changing environments. Distribution, autonomy and interaction are basic concepts at the heart of agent systems.
Nevertheless applications of agent systems in industry are still the exception rather than the normal case. This contribution will describe some applications of agent systems which were developed at Daimler Research during the last ten years. We will present the advantages and lessons learned from these cases. But we will also have a look at the obstacles in applying agent systems in a large scale. As a result we will sketch some resulting challenges from the point of view of industry for the (scientific) agent community.
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Burmeister, B. (2009). Industrial Application of Agent Systems: Lessons Learned and Future Challenges. In: Braubach, L., van der Hoek, W., Petta, P., Pokahr, A. (eds) Multiagent System Technologies. MATES 2009. Lecture Notes in Computer Science(), vol 5774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04143-3_1
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DOI: https://doi.org/10.1007/978-3-642-04143-3_1
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