Abstract
In this paper we present a multi-agent model for supporting the planning, design and organisation of exposition spaces. The model and its related software implementation simulates the behaviour of agents during their visit of an exposition with the objective to evaluate their overall comfort and satisfaction. It takes into account both the architectural and environmental aspects as well as the interaction among agents simulating possible phenomena of crowding and other forms of competition. The representation of the relevant phenomena in the model relies on the coexistence of both vector and cellular (raster) simulation approaches, taking into account the trade-off between the computational efficiency and the need for precision.
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
Bandini, S., Manzoni, S., Vizzari, G.: Multi-agent approach to localization problems:The case of multilayered multi-agent situated system. Web Intelligence and AgentSystems 2, 155–166 (2004)
Moulin, B., Chaker, W., Perron, J., Pelletier, P., Hogan, J., Gbei, E.: MAGS project:Multi-agent geosimulation and crowd simulation. In: Kuhn, W., Worboys, M.F., Timpf, S. (eds.) COSIT 2003. LNCS, vol. 2825, pp. 151–168. Springer, Heidelberg (2003)
Bandini, S., Manzoni, S., Simone, C.: Enhancing cellular spaces by multilayered multi agent situated systems. In: Bandini, S., Chopard, B., Tomassini, M. (eds.) ACRI 2002. LNCS, vol. 2493, pp. 156–167. Springer, Heidelberg (2002)
Shao, W., Terzopoulos, D.: Autonomous pedestrians. Graph. Models 69, 246–274 (2007)
Reynolds, C.: Steering behaviours for autonomous characters. In: Proceedings of the Game Developers Conference, pp. 763–782 (1999)
GEOS: Geometry engine - open source (2007), http://geos.refractions.net/
Kwon, D., Lee, S., Lee, S.: Efficient update method for indexing locations of moving objects. J. Inf. Sci. Eng. 21, 643–658 (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Blecic, I., Cecchini, A., Trunfio, G.A., Zhou, J., Zang, W., Liu, B. (2008). Towards a Multi-agent Model for Planning and Design of Exposition Spaces. In: Umeo, H., Morishita, S., Nishinari, K., Komatsuzaki, T., Bandini, S. (eds) Cellular Automata. ACRI 2008. Lecture Notes in Computer Science, vol 5191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79992-4_72
Download citation
DOI: https://doi.org/10.1007/978-3-540-79992-4_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79991-7
Online ISBN: 978-3-540-79992-4
eBook Packages: Computer ScienceComputer Science (R0)