Skip to main content

Accessory-Based Multi-agent Simulating Platform on the Web

  • Conference paper
  • First Online:
  • 450 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9145))

Abstract

It is quite complicated to develop a multi-agent simulation system. In this paper, we realize a simulation case in a simple way that just chooses some components and combines them; while other groups of people are responsible for developing these components. The “accessories library” consists of these relative independent functional components which are abstracted from various simulation cases. Therefore, we propose the “accessories library” and a platform based on multi-roles, which helps domain experts find their roles and create complex multi-agent systems easily. We further describe the process of conducting every role involved. In order to confirm the role-based platform and the respective processes, we take a football field case as an example to illustrate the implementation.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   44.99
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

Learn about institutional subscriptions

References

  1. Bradshaw, J.M. (ed.): Software Agents. AAAI Press, Menlo Park (1999)

    Google Scholar 

  2. Buchanan, M.: Meltdown modeling: could agent-based computer modelsprevent another financial crisis. Nature 460(8), 680–682 (2009)

    Article  Google Scholar 

  3. Choy, S., Ng, S.: An interactive learning environment for teaching and learning of computer programming. In: Proceedings of IEEE International Conference on Advanced Learning Technologies (2004)

    Google Scholar 

  4. Cao, L.: In-depth behavior understanding and use: the behavior informatics approach. Inf. Sci. 180(17), 3067–3085 (2010)

    Article  Google Scholar 

  5. Farmer, J.D., Foley, D.: The economy needs agent-based modeling. Nature 460(8), 685–686 (2009)

    Article  Google Scholar 

  6. Gao, S., Wang, H., Wang, Y., Shen, W., Yeung, S.: Web-service-agents-basedfamily wealth management system. Expert Syst. Appl. 29(1), 219–228 (2005)

    Article  Google Scholar 

  7. Lavbič, D., Vasilecas, O., Rupnik, R.: Ontology-based multi-agent system to support business users and management. Ukio TechnologinisirEkonominisVystymas 16(2), 327–347 (2010)

    Google Scholar 

  8. LeBaron, B., Tesfatsion, L.: Modeling macroeconomies as open-endedsystems of interacting agents. Am. Econ. Rev.: Pap. Proc. 98(2), 246–250 (2008)

    Article  Google Scholar 

  9. Minsky, M.: The Society of Mind. Simon & Schuster, New York (1988)

    Google Scholar 

  10. Taghipour, A., Frayret, J.: Mutual adjustment search with incentive for supply chain planning coordination. Int. J. Comput. Integr. Manuf. 25(10), 946–962 (2012)

    Article  Google Scholar 

  11. Cao, L., Gorodetsky, V., Mitkas, P.: Agent mining: the synergy of agents and data mining. IEEE Intell. Syst. 24(3), 64–72 (2009)

    Article  Google Scholar 

  12. Wang, H.: Intelligent agent-assisted decision support systems: integration of knowledge discovery, knowledge analysis, and group decision support. Expert Syst. Appl. 12(3), 323–335 (1997)

    Article  Google Scholar 

  13. Wang, M., Liu, J., Wang, H.: On-demand e-supply chain integration: a multi-agent constraint-based approach. Expert Syst. Appl. 34(4), 2683–2692 (2008)

    Article  Google Scholar 

  14. Weiss, G.: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  15. Wooldridge, M., Jennings, N.: Intelligent agents: theory and practice. Knowl. Eng. Rev. 10(2), 115–152 (1995)

    Article  Google Scholar 

  16. Wooldridge, M.: An Introduction to Multi-agent Systems. Wiley, Chichester (2002)

    Google Scholar 

  17. Xu, D., Wang, H., Wang, M.: A conceptual model of personalized virtuallearning environments. Expert Syst. Appl. 29(3), 525–534 (2005)

    Article  Google Scholar 

  18. Zhang, J.Y., Cheng, L., Wang, H.Q.: A multi-agent-based decision supportsystem for bankruptcy contagion effects. Expert Systems with Applications 39(5), 5920–5934 (2012)

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the support for this work from the National Natural Science Foundation of China (Grant No. 71201077).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinyu Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhang, J., Xia, C., Zhang, W. (2015). Accessory-Based Multi-agent Simulating Platform on the Web. In: Cao, L., et al. Agents and Data Mining Interaction. ADMI 2014. Lecture Notes in Computer Science(), vol 9145. Springer, Cham. https://doi.org/10.1007/978-3-319-20230-3_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20230-3_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20229-7

  • Online ISBN: 978-3-319-20230-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics