The efficiency of conventional centralised control in logistics is limited due to the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics aims at overcoming these limitations by delegating decision-making to local logistics entities such as packages or containers. Represented by software agents, these entities must cooperate with each other to succeed in their logistics objectives.

Multiagent-Based Simulation

Qualitative Spatial Reasoning

Overview of previous teaching activities

Schuldt, A. (2011). Multiagent Coordination Enabling Autonomous Logistics. Springer-Verlag, Heidelberg, Germany. Science Award for Logistics 2010.

Schuldt, A., Gehrke, J. D., and Werner, S. (2008). Designing a Simulation Middleware for FIPA Multiagent Systems. In Jain, L., Gini, M., Faltings, B. B., Terano, T., Zhang, C., Cercone, N., and Cao, L. (eds.): 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008). Sydney, Australia, December 9-12, 2008. IEEE Computer Society Press, pp. 109-113.

Schuldt, A., Gottfried, B., and Herzog, O. (2006). Towards the Visualisation of Shape Features: The Scope Histogram. In Freksa, C., Kohlhase, M., and Schill, K. (eds.): 29th Annual German Conference on Artificial Intelligence (KI 2006). Bremen, Germany, June 14-19, 2006. LNAI 4314, Springer-Verlag, pp. 289-301. Best Paper Contribution to KI 2006 out of 112 submissions.

Publications

DBLP bibliography server

TZI bibliography server

German National Library

Speiseplan der Mensa (in German, optimised for smartphones)