Abstract
Domain-specific time limits for the execution of agent-oriented knowledge management processes constitute a significant challenge for the design of autonomous logistic control with multi-agent systems. Tailored models are needed to support the agents’ decision-making, which gives rise to questions concerning the time span agents are granted to compile these models, especially at the onset of the agent life cycle. Besides knowledge acquisition, the exploitation of the models in concrete decision situations is often subject to time limits, as well, such that efficient inference mechanisms have to be available. Finally, agents need to maintain their local models concurrently when performing logistic processes. Knowledge management tasks such as adaption of existing and compilation of new models need to be performed in a timely fashion.
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Notes
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In transport logistics, where the haulage of commodities may take hours, days, or even weeks, the time spans required for decision-making, including planning and scheduling as well as model formation, are by contrast often negligible.
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Warden, T., Porzel, R., Gehrke, J.D., Langer, H., Herzog, O., Malaka, R. (2011). Knowledge Management for Agent-Based Control Under Temporal Bounds. In: Hülsmann, M., Scholz-Reiter, B., Windt, K. (eds) Autonomous Cooperation and Control in Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19469-6_17
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