Skip to main content

The Entity-Operation Model for Practical Multi-entity Deployment

  • Conference paper
  • First Online:
Engineering Multi-Agent Systems (EMAS 2023)

Abstract

In the world of multi-agent system (MAS) frameworks, developers are many times forced into a fixed and reduced array of abstractions, with limited options in expressive modeling of all the components of a MAS. For instance, in JADE, the most popular agent framework, developers are limited to using agents as sole abstraction for all elements of the MAS. These limitations hinder interoperability, the deployment of open, heterogeneous systems, and the use of agents in complex scenarios involving a great variety of elements such as physical devices, context managers, services, and communication infrastructures.

We introduce the entity-operation model for multi-agent systems, as an approach to integrate all elements in the MAS deployment as first-class entities in the MAS model, to support heterogeneity and flexibility in the implementation, and to achieve context-aware access control to the functionalities offered by entities.

We present a formalization of the model, together with mechanisms for authorizing operations and for routing operation calls in the MAS. We discuss the entity-operation model in relation to other existing MAS frameworks, and we give insight into implementation challenges which arose when integrating the model with the Flash-mas framework.

This work was supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS - UEFISCDI, project number PN-III-P1-1.1-TE-2021-1422, within PNCDI III. This work has been partially funded by UEFISCDI project Cornet (1/2018, PN-III-P3-3.6-H2020-2016-0120).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The Fast and Lightweight Multi-Agent Shell. The source code is available at https://github.com/andreiolaru-ro/FLASH-MAS.

  2. 2.

    Semantic triple https://en.wikipedia.org/wiki/Semantic_triple.

References

  1. Abar, S., Theodoropoulos, G.K., Lemarinier, P., O’Hare, G.M.: Agent based modelling and simulation tools: a review of the state-of-art software. Comput. Sci. Rev. 24, 13–33 (2017)

    Article  Google Scholar 

  2. Baljak, V., et al.: S-CLAIM: an agent-based programming language for Am I, a smart-room case study. In: Proceedings of ANT 2012, The 3rd International Conference on Ambient Systems, Networks and Technologies, 27–29 August, Niagara Falls, Ontario, Canada. Procedia Computer Science, vol. 10, pp. 30–37. Elsevier (2012). https://doi.org/10.1016/j.procs.2012.06.008, http://www.sciencedirect.com/science/article/pii/S1877050912003651

  3. Bellifemine, F., Poggi, A., Rimassa, G.: JADE - a FIPA-compliant agent framework. In: Proceedings of PAAM, vol. 99, pp. 97–108. Citeseer (1999)

    Google Scholar 

  4. Boissier, O., Bordini, R.H., Hübner, J.F., Ricci, A., Santi, A.: Multi-agent oriented programming with JaCaMo. Sci. Comput. Program. 78(6), 747–761 (2013)

    Article  Google Scholar 

  5. Braubach, L., Pokahr, A.: Jadex active components framework-BDI agents for disaster rescue coordination. Softw. Agents Agent Syst. Appl. 32, 57–84 (2012)

    Google Scholar 

  6. Cardoso, R.C., Ferrando, A.: A review of agent-based programming for multi-agent systems. Computers 10(2), 16 (2021)

    Article  Google Scholar 

  7. Curry, E., Chambers, D., Lyons, G.: A JMS message transport protocol for the jade platform. In: IEEE/WIC International Conference on Intelligent Agent Technology, 2003. IAT 2003, pp. 596–600. IEEE (2003)

    Google Scholar 

  8. Dorri, A., Kanhere, S.S., Jurdak, R.: Multi-agent systems: a survey. IEEE Access 6, 28573–28593 (2018)

    Article  Google Scholar 

  9. Dorst, T., Eichstädt, S., Schneider, T., Schütze, A.: Propagation of uncertainty for an adaptive linear approximation algorithm. SMSI 2020-System of Units and Metrological Infrastructure, pp. 366–367 (2020)

    Google Scholar 

  10. FIPA: FIPA ACL message structure specification, December 2002. http://www.fipa.org/specs/fipa00061/SC00061G.html

  11. Fortino, G., Russo, W., Savaglio, C., Shen, W., Zhou, M.: Agent-oriented cooperative smart objects: from IoT system design to implementation. IEEE Trans. Syst. Man Cybern. Syst. 99, 1–18 (2017)

    Google Scholar 

  12. Galland, S., Rodriguez, S., Gaud, N.: Run-time environment for the SARL agent-programming language: the example of the Janus platform. Futur. Gener. Comput. Syst. 107, 1105–1115 (2020)

    Article  Google Scholar 

  13. Gregori, M.E., Cámara, J.P., Bada, G.A.: A jabber-based multi-agent system platform. In: Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 1282–1284 (2006)

    Google Scholar 

  14. Kravari, K., Bassiliades, N.: A survey of agent platforms. J. Artif. Soc. Soc. Simul. 18(1), 11 (2015)

    Article  Google Scholar 

  15. Lorig, F., Dammenhayn, N., Müller, D.-J., Timm, I.J.: Measuring and comparing scalability of agent-based simulation frameworks. In: Müller, J.P., Ketter, W., Kaminka, G., Wagner, G., Bulling, N. (eds.) MATES 2015. LNCS (LNAI), vol. 9433, pp. 42–60. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27343-3_3

    Chapter  Google Scholar 

  16. Melo, L.S., Sampaio, R.F., Leão, R.P.S., Barroso, G.C., Bezerra, J.R.: Python-based multi-agent platform for application on power grids. Int. Trans. Electr. Energy Syst. 29(6), e12012 (2019)

    Article  Google Scholar 

  17. Olaru, A., Sorici, A., Florea, A.M.: A flexible and lightweight agent deployment architecture. In: 2019 22nd International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 28–30 May 2019, pp. 251–258. IEEE (2019). https://doi.org/10.1109/CSCS.2019.00048, https://ieeexplore.ieee.org/abstract/document/8744845/

  18. Olaru, A., Florea, A.M.: A framework for integrating heterogeneous agent communication platforms. In: Proceedings of ACSys 2015, the 12th Workshop on Agents for Complex Systems, in conjunction with SYNASC 2015, the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, Timisoara, Romania, 21–24 September, pp. 399–406. IEEE Xplore (2015). https://doi.org/10.1109/SYNASC.2015.66

  19. Pal, C.V., Leon, F., Paprzycki, M., Ganzha, M.: A review of platforms for the development of agent systems. arXiv preprint arXiv:2007.08961 (2020)

  20. Rao, A.S.: AgentSpeak(L): BDI agents speak out in a logical computable language. In: Van de Velde, W., Perram, J.W. (eds.) MAAMAW 1996. LNCS, vol. 1038, pp. 42–55. Springer, Heidelberg (1996). https://doi.org/10.1007/BFb0031845

    Chapter  Google Scholar 

  21. Ricci, A., Croatti, A., Bordini, R., Hübner, J., Boissier, O.: Exploiting simulation for MAS programming and engineering-the JaCaMo-sim platform. In: 8th International Workshop on Engineering Multi-Agent Systems (EMAS 2020) (2020)

    Google Scholar 

  22. Ricci, A., Viroli, M., Omicini, A.: Give agents their artifacts: the A &A approach for engineering working environments in MAS. In: Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems, p. 150. ACM (2007)

    Google Scholar 

  23. Rodriguez, S., Gaud, N., Galland, S.: SARL: a general-purpose agent-oriented programming language. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), vol. 3, pp. 103–110. IEEE (2014)

    Google Scholar 

  24. Rousset, A., Herrmann, B., Lang, C., Philippe, L.: A survey on parallel and distributed multi-agent systems for high performance computing simulations. Comput. Sci. Rev. 22, 27–46 (2016)

    Article  MathSciNet  Google Scholar 

  25. Suguri, H., Kodama, E., Miyazaki, M., Kaji, I.: Assuring interoperability between heterogeneous multi-agent systems with a gateway agent. In: 7th IEEE International Symposium on High Assurance Systems Engineering, 2002. Proceedings, pp. 167–170. IEEE (2002)

    Google Scholar 

  26. Tom, R.J., Sankaranarayanan, S., Rodrigues, J.J.: Agent negotiation in an IoT-Fog based power distribution system for demand reduction. Sustain. Energy Technol. Assess. 38, 100653 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrei Olaru .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Olaru, A., Nicolae, G., Florea, A.M. (2023). The Entity-Operation Model for Practical Multi-entity Deployment. In: Ciortea, A., Dastani, M., Luo, J. (eds) Engineering Multi-Agent Systems. EMAS 2023. Lecture Notes in Computer Science(), vol 14378. Springer, Cham. https://doi.org/10.1007/978-3-031-48539-8_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-48539-8_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48538-1

  • Online ISBN: 978-3-031-48539-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics