Abstract
We examine a feasibility study on agent-based modeling and simulation for spatial competition originating from Hotelling model. Hotelling model is a theory that explains the consequence of the spatial competition between two shops. This model is employed to explain little product differentiation and agglomeration of retail shops. Conventionally, the researches for spatial competition has employed the analytical approaches in the game situations. On the contrary, our research intends to introduce the agent-based approach. With the agent-based approach, we can deal with discrete and non-uniform consumer distributions which are closer to the actual situation. This paper introduces our agent-based model as extension of two-dimensional Hotelling model and the agent simulator which we’ve developed as a prototype.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brown, S.: Retail location theory: the legacy of harold hotelling. J. Retail. 65(4), 450–470 (1989)
Numan, W., Willekens, M.: An empirical test of spatial competition in the audit market. J. Account. Econ. 53(1-2), 450–465 (2012)
Thomadsen, R.: Product positioning and competition: the role of location in the fast food industry. Mark. Sci. 26(6), 792–804 (2007)
Hotelling, H.: Stability in competition. Econ. J. 39(153), 41–57 (1929)
Anderson, S.P., Neven, D.J.: Cournot competition yields spatial agglomeration. Int. Econ. Rev. 32(4), 793–808 (1991)
Yasuda, Y.: Instability in the Hotelling’s non-price spatial competition model. Theor. Econ. Lett. 3(3), 7–10 (2013)
d’Aspremont, C., Gabszewicz, J.J., Thisse, J.-F.: On Hotelling’s stability in competition. Econometrica 47(5), 1145–1150 (1979)
Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. United States Am. 99(3), 7280–7287 (2002)
Macal, C.M., North, M.J.: Tutorial on agent-based modelling and simulation. J. Simul. 4(3), 151–162 (2010)
Tabuchi, T.: Two-stage two-dimensional spatial competition between two firms. Reg. Sci. Urban Econ. 24(2), 207–227 (1994)
Aumann, R.J.: Backward induction and common knowledge of rationality. Games Econ. Behav. 8(1), 6–19 (1995)
Yamakage S.: Modeling and Expanding Artificial Societies: Introduction to Multi-Agent Simulation with artisoc. Kozo Keikaku Engineering Inc. (2009)
Miura, M.: https://m-miura.jp/mas/scmas-kes-amsta2018/. Accessed 28 Feb 2018
KKE, inc.: http://mas.kke.co.jp/modules/tinyd0/index.php?id=13. Accessed 28 Feb 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Miura, M., Shiroishi, H. (2019). Agent-Based Modeling and Simulation for Two-Dimensional Spatial Competition. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-92031-3_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-92030-6
Online ISBN: 978-3-319-92031-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)