Abstract
The main objective of this research is to ease organizational design of large-scale multi-agent systems (LSMAS) development. Methods including ontology engineering, metamodeling and code generation are proposed to achieve the set goal. The resulting modeling tool is expected to aid in development of LSMAS for numerous application domains.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Abbas, H.A., Shaheen, S.I., Amin, M.H.: Organization of Multi-Agent Systems: An Overview. International Journal of Intelligent Information Systems 4(3), 46–57 (2015)
Fernández-López, M., Gómez-Pérez, A., Juristo, N.: METHONTOLOGY: from ontological art towards ontological engineering. In: AAAI 1997 Spring Symposium Series SS-97-06, pp. 33–40 (1997). http://oa.upm.es/5484/
Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, Prentice Hall series in artificial intelligence, 3rd edn., Pearson Education Inc., New Jersey (2010)
Schatten, M.: Organizational architectures for large-scale multi-agent systems’ development: an initial ontology. In: Omatu, S., Bersini, H., Corchado, J.M., Rodríguez, S., Pawlewski, P., Bucciarelli, E. (eds.) DCAI 2014, pp. 261–268. Springer International Publishing (2014)
Schatten, M., Grd, P., Konecki, M., Kudelić, R.: Towards a Formal Conceptualization of Organizational Design Techniques for Large Scale Multi Agent Systems. Procedia Technology 15, 577–586 (2014)
Schatten, M., Ševa, J., Tomičić, I.: A roadmap for scalable agent organizations in the Internet of Everything. Journal of Systems and Software 115, 31–41 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Đurić, B.O. (2016). Organizational Metamodel for Large-Scale Multi-Agent Systems. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-40159-1_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40158-4
Online ISBN: 978-3-319-40159-1
eBook Packages: EngineeringEngineering (R0)