Skip to main content
SpringerLink
Log in

Agent-Based Modelling and Simulations as an Integral Functionality of the Business Intelligence Framework

  • Conference paper
  • First Online:
Information and Software Technologies (ICIST 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 538))

Included in the following conference series:

  • 1073 Accesses

Abstract

The Business Intelligence concept has been subject of interest in the realm of computer science and business administration for several years. While various analytical tools have been developed and focus on historical data has represented the main stream of research, inclusion of simulations-based forecasts and predictions have been somehow neglected. Therefore, this paper introduces the business intelligence framework in association with agent-based simulations. Moreover, it supports it with the demonstration, in which particular functionality of the Broker agent is used. Finally, the paper also depicts possibilities of further research that can elaborate and further progress the use of agent-based simulations in business intelligence.

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

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Bargigli, L., Tedeschi, G.: Major trends in agent-based economics. J. Econ. Interac. Coord. 8(2), 211–217 (2013)

    Article  Google Scholar 

  2. Bunata, E.: Using business intelligence to manage supply costs. Healthc. Finan. Manag. J. Healthc. Finan. Manag. Assoc. 67(8), 44–47 (2013)

    Google Scholar 

  3. Bureš, V., Otčenášková, T., Čech, P., Antoš, K.: A proposal for a computer-based framework of support for public health in the management of biological incidents: The Czech Republic experience. Perspect. Public Health 132(6), 292–298 (2012)

    Article  Google Scholar 

  4. Bureš, V., Tučník, P.: Complex agent-based models: application of a constructivism in the economic research. E M Ekonomie a Manag. 17(3), 152–168 (2014)

    Article  Google Scholar 

  5. Damaceanu, R.-C., Capraru, B.-S.: Implementation of a multi-agent computational model of retail banking market using netlogo. Metalurgia Int. 17(5), 230–236 (2012)

    Google Scholar 

  6. Dosi, G., Fagiolo, G., Roventini, A.: The microfoundations of business cycles: an evolutionary, multi-agent model. Schumpeterian Perspect. Innov. Competition Growth 18(3–4), 413–432 (2009)

    MATH  Google Scholar 

  7. Guessoum, Z., Rejeb, L., Durand, R.: Using adaptive multi-agent systems to simulate economic models. In: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 68–75 (2004)

    Google Scholar 

  8. Janssen, M., de Vries, B.: The battle of perspectives: a multi-agent model with adaptive responses to climate change. Ecol. Econ. 26(1), 43–65 (1998)

    Article  Google Scholar 

  9. Lee, C.K., Lau, H.C., Ho, G.T., Ho, W.: Design and development of agent-based procurement system to enhance business intelligence. Expert Syst. Appl. 36(1), 877–884 (2009)

    Article  Google Scholar 

  10. Leonard, A., Masson, M., Mitchell, T., Moss, J., Ufford, M.: SQL Server Integration Services Design Patterns. Apress, New York (2014)

    Book  Google Scholar 

  11. Lipika, D., Ishan, V.: Text-driven reasoning and multi-structured data analytics for business intelligence. In: Integration of Data Mining in Business Intelligence Systems, pp. 143–173 (2015)

    Google Scholar 

  12. Michalewicz, Z., Schmidt, M., Michalewicz, M., Chiriac, C.: Adaptive business intelligence: three case studies. Evolutionary Computation in Dynamic and Uncertain Environments, pp. 179–196. Springer, Berlin (2007)

    Chapter  Google Scholar 

  13. Petermann, A., Junghanns, M., Müller, R., Rahm, E.: Graph-based data integration and business intelligence with BIIIG. In: Proceedings of the VLDB Endowment, 7(13) (2014)

    Article  Google Scholar 

  14. Rao, M., Jain, M.B., Shukla, P.: The use of multi agent paradigm to build an agent based architecture for e-commerce application. Res. J. Eng. Technol. 2(1), 5–9 (2011)

    Google Scholar 

  15. Singh, A., Mishra, P.K., Jain, R., Khurana, M.K.: Design of global supply chain network with operational risks. Int. J. Adv. Manuf. Technol. 60(1–4), 273–290 (2012)

    Article  Google Scholar 

  16. Tučník, P., Bureš, V.: Inclusion of complexity: modelling enterprise business environment by means of agent-based simulation. Int. Rev. Model. Simul. 6(5), 1709–1717 (2013)

    Google Scholar 

  17. Vidal, J.M., Durfee, E.H.: Learning nested agent models in an information economy. J. Exp. Theor. Artif. Intell. 10(3), 291–308 (1998)

    Article  Google Scholar 

  18. Wilkinson, I.F., Young, L.C.: The past and the future of business marketing theory. Ind. Mark. Manag. 42(3), 394–404 (2013)

    Article  Google Scholar 

Download references

Acknowledgement

The support of the FIM UHK Specific Research Project “SCM and Control of Markets and Production in Agent-based Computational Economics” is gratefully acknowledged.

Author information

Authors and Affiliations

  1. University of Hradec Kralove, Hradec Kralove, Czech Republic

    Vladimír Bureš, Petr Blecha & Petr Tučník

Authors
  1. Vladimír Bureš
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Petr Blecha
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Petr Tučník
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vladimír Bureš .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damasevicius

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Bureš, V., Blecha, P., Tučník, P. (2015). Agent-Based Modelling and Simulations as an Integral Functionality of the Business Intelligence Framework. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2015. Communications in Computer and Information Science, vol 538. Springer, Cham. https://doi.org/10.1007/978-3-319-24770-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24770-0_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24769-4

  • Online ISBN: 978-3-319-24770-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation