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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anand, N., van Duin, R., Tavasszy, L.: Framework for modelling multi-stakeholder city logistics domain using the agent based modelling approach. Transp. Res. Procedia 16, 4–15 (2016). https://doi.org/10.1016/j.trpro.2016.11.002
Braun, P., Rossak, W.: Mobile Agents. Morgan Kaufmann, San Francisco (2005). https://doi.org/10.1016/B978-155860817-7/50002-7
Davidsson, P., Henesey, L., Ramstedt, L., Törnquist, J., Wernstedt, F.: An analysis of agent-based approaches to transport logistics. Transp. Res. Part C Emerg. Technol. 13(4), 255–271 (2005). Ronneby. https://doi.org/10.1016/j.trc.2005.07.002
Lorenzen, L.-E., Woelk, P.-O., Denkena, B., Scholz, T., Timm, I.J., Herzog, O.: Integrated Process Planning and Production Control. Springer, Heidelberg, pp. 91–113 (2006) https://doi.org/10.1007/3-540-32062-8_6
Mauch, M., et al.: Distributed agent-based big data network for secure e-mobility TCO analysis: A use case for multi-agent systems in logistics environment. In: 2019 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, pp. 1151–1155. IEEE (2019). https://doi.org/10.1109/CSCI49370.2019.00217
Schäfer, A., Schau, V., Mauch, M., Amme, W.: Two layer approach: a modified multi agent system (mas) as a network-independent adaptive framework for a distributed logistic network. In: 13th International KES Conference: Agents and multi-agent systems: Technologies and Applications in Malta, Malta (2019). http://nimbusvault.net/publications/koala/assr/605.html
Schau, V.: Ellipsis-Konzeption und Implementierung einer vereinheitlichten und leistungsfähigen Architektur für Multi-Agenten Systeme (MAS) auf Basis frei verfügbarer IT-Infrastrukturkomponeneten unter besonderer Berücksichtigung internationaler Standards. Ph.D. thesis, FSU Jena (2012)
Timm, I.J., Woelk, P.-O., Knirsch, P., Tönshoff, H.-K., Herzog, O.: Flexible Mass Customisation: Managing Its Information Logistics Using Adaptive Cooperative Multi-agent Systems. Palgrave Macmillan London, pp. 203–211 (2016) https://doi.org/10.1057/9781137541253_18
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-85739-4_31
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85738-7
Online ISBN: 978-3-030-85739-4
eBook Packages: Computer ScienceComputer Science (R0)