Abstract
How to ensure that two different implementations of a simulation will produce the same results ? In order to assure simulation reproducibility, some domain-independent functional unit must be precisely described. We show in this paper that the management unit that rules the participation of an agent in simultaneous interactions is one of them. Usually, many choices concerning this unit are made implicitly, even if they might lead to many simulation biases. We illustrate this issue through a study of biases that appear even in simple cases, due to a specification lack, and we propose as a solution a classification of interactions that makes those choices explicit.
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
Preview
Unable to display preview. Download preview PDF.
References
Fishwick, P.A.: Computer simulation: growth through extension. Trans. Soc. Comput. Simul. Int. 14(1), 3–20 (1997)
David, N., Sichman, J.S., Coelho, H.: Towards an Emergence-Driven Software Process for Agent-Based Simulation. In: Sichman, J.S., Bousquet, F., Davidsson, P. (eds.) MABS 2002. LNCS, vol. 2581, pp. 89–104. Springer, Heidelberg (2003)
Michel, F., Gouach, A., Ferber, J.: Weak interaction and strong interaction in agent based simulations. In: MABS 2003. LNCS, vol. 2927, pp. 43–56. Springer, Heidelberg (2003)
Kubera, Y., Mathieu, P., Picault, S.: Interaction-oriented agent simulations: From theory to implementation. In: Proceedings of ECAI 2008, Patras Greece, July 2008, pp. 383–387 (2008)
Epstein, J., Axtell, R.: Growing Artificial Societies. Brookings Institution Press, Washington, DC (1996)
Lawson, B., Park, S.: Asynchronous time evolution in an artificial society mode. Journal of Artificial Societies and Social Simulation (2000)
Weyns, D., Holvoet, T.: Model for simultaneous actions in situated multi-agent systems. In: Schillo, M., Klusch, M., Müller, J., Tianfield, H. (eds.) MATES 2003. LNCS, vol. 2831, pp. 105–118. Springer, Heidelberg (2003)
Demazeau, Y.: From interactions to collective behaviour in agent-based systems. In: Proceedings of ECCS 1995, Saint-Malo, France, pp. 117–132 (1995)
Weyns, D., Parunak, H., Michel, F., Holvoet, T., Ferber, J.: Environments for multiagent systems: State-of-the-art and research challenges. In: Environments for Multiagent Systems, New York, NY, USA, pp. 1–47 (2004)
Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychological Review 111(4), 1036–1060 (2004)
Newell, A.: Unified theories of cognition. Harvard University Press, Cambridge (1994)
Norman, D.A.: The Psychology of Everyday Things. Basic Books (1988)
Brooks, R.A.: A robust layered control system for a mobile robot. IEEE Journal of robotics and automation 2(1), 14–23 (1986)
Wilenski, U.: Netlogo. Center for connected learning and computer-based modeling (1999), http://ccl.northwestern.edu/netlogo/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kubera, Y., Mathieu, P., Picault, S. (2009). Interaction Biases in Multi-Agent Simulations: An Experimental Study. In: Artikis, A., Picard, G., Vercouter, L. (eds) Engineering Societies in the Agents World IX. ESAW 2008. Lecture Notes in Computer Science(), vol 5485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02562-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-02562-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02561-7
Online ISBN: 978-3-642-02562-4
eBook Packages: Computer ScienceComputer Science (R0)