Abstract
Business process simulation models usually incorporate several essential components that reflect customer behavior for modeling system inputs and outputs and ranking and/or rating given alternatives. In this paper we deal with a general dynamic system of rating a number of alternatives given by pairwise comparison matrices on an alo-group. This system is based on a parametrized agent-based simulation with interactions among agents which is able to replicate various types of processes, e.g. financial market evaluation, evaluation of products’ demand and supply, evaluation of political parties in general elections, evaluation of universities etc. A simple simulation experiment is presented and discussed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Axelrod, R.: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton (1997)
Anthony, P., Jennings, N.R.: Evolving bidding strategies for multiple auctions. In: Proceedings of the 15th European Conference on Artificial Intelligence, Netherlands, pp. 182–187 (2002)
Perzina, R., Ramik, J.: Dynamic system of rating alternatives by agents with interactions. In: Smart Innovation Systems and Technologies, vol. 58, pp. 177–185. Springer (2016)
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.: Fundamentals of Business Process Management. Springer, Heidelberg (2013)
Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. PNAS 99, 7280–7287 (2002)
Barnett, M.: Modeling and simulation in business process management (2013). http://news.bptrends.com/publicationfiles
Sperka, R., Spisak, M.: Transaction costs influence on the stability of financial market: agent-based simulation. J. Bus. Econ. Manage. 14(1), S1–S12 (2013)
Wooldridge, M.: MultiAgent Systems: An Introduction, 2nd edn. Wiley, Chichester (2009)
Walsh, W.E. et al.: Analyzing complex strategic interactions in multi-agent games. In: Proceedings of the AAAI Workshop on Game-Theoretic and Decision-Theoretic Agents, pp. 1–11 (2002)
Cavallo, B., D’Apuzzo, L.: A general unified framework for pairwise comparison matrices in multicriteria methods. Int. J. Intell. Syst. 24(4), 377–398 (2009)
Aliprantis, C.D., Burkinshaw, O.: Locally solid Riesz spaces with applications to economics. No. 105. American Mathematical Society (2003)
Ramik, J.: Pairwise comparison matrix with fuzzy elements on alo-group. Inf. Sci. 297, 236–253 (2015)
Saaty, T.L.: Multicriteria Decision Making - The Analytical Hierarchy Process, vol. I. RWS Publications, Pittsburgh (1991)
Mittelhammer, R.C., Judge, G.G., Miller, D.J.: Econometric Foundations. Cambridge University Press, Cambridge (2000)
Acknowledgment
This paper was supported by the Ministry of Education, Youth and Sports Czech Republic within the Institutional Support for Long-term Development of a Research Organization in 2017.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Perzina, R., Ramík, J. (2018). Generalized Dynamic Model of Rating Alternatives by Agents with Interactions. In: Jezic, G., Kusek, M., Chen-Burger, YH., Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technology and Applications. KES-AMSTA 2017. Smart Innovation, Systems and Technologies, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-319-59394-4_15
Download citation
DOI: https://doi.org/10.1007/978-3-319-59394-4_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59393-7
Online ISBN: 978-3-319-59394-4
eBook Packages: EngineeringEngineering (R0)