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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12946))

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Abstract

This demonstration paper aims to present the multi-agent system (MAS) Ellipsis, which has been enhanced within the joint research project SMART DISTRIBUTION LOGISTICS (SDL) to build a distributed agent-based Big Data network (DBDN) between the cooperating media logistics companies [5]. The goal was to enable an e-mobility focused TCO (total cost of ownership) analysis on a broad data basis while keeping the original data itself securely within the control of each company. With the help of mobile agents and a BDI concept, agents are able to react independently to unforeseen events. They are able to decide in an autonomous fashion, to travel and to transfer algorithms from one system to another. Thus, the system enables asynchronous communication between the logistics entrepreneur and the agent acting on its behalf in the TCO study. Proactive and distributed systems with autonomous units (acting deputies) on heterogeneous data meet the unbroken demand of companies and stakeholders for the sovereignty of their data and their underlying business models. These business models express themselves in dynamic structures and different types of negotiation.

Supported by the W. Rossak, the SDL project team and the Bachelor theses of M. Rauppach, P. Langisch and H. Legner.

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References

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Correspondence to Marianne Mauch .

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Mauch, M. (2021). A DBDN with the MAS Ellipsis. In: Dignum, F., Corchado, J.M., De La Prieta, F. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection. PAAMS 2021. Lecture Notes in Computer Science(), vol 12946. Springer, Cham. https://doi.org/10.1007/978-3-030-85739-4_31

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  • DOI: https://doi.org/10.1007/978-3-030-85739-4_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-85738-7

  • Online ISBN: 978-3-030-85739-4

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