Modeling and Visualizing Individual and Global Trends of a Multi-agent System
Vinicius Nonnenmacher, Marta Becker Villamil, Luiz Paulo Luna de Oliveira
2012
Abstract
This paper proposes a new model for real-time visualization of the social dynamics as a resultant of individual changes due to their mutual interactions. The model allows the dynamical visualization of both, the individual characteristics changes as well as the resultant system trends as a whole. As an application, we investigated the role of individual degrees of influence and the number of agents in the global choice of a population between two antagonistic options.
References
- Deutsch, M. and Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51:629-636.
- Guy, S. J., Chhugani, J., Curtis, S., Dubey, P., Lin, M., and Manocha, D. (2010). Pledestrians: a least-effort approach to crowd simulation. In Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 7810, pages 119-128, Airela-Ville, Switzerland, Switzerland. Eurographics Association.
- Helbing, D. (2009). Managing complexity in socioeconomic systems. European Review, 17:423-438.
- Macy, M. W. and Willer, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28:143-166.
- Mark, N. (1998). Beyond individual differences: Social differentiation from first principles. American Sociological Review, 63(3):pp. 309-330.
- Narain, R., Golas, A., Curtis, S., and Lin, M. C. (2009). Aggregate dynamics for dense crowd simulation. ACM Trans. Graph., 28:122:1-122:8.
- Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45:167-256.
- Ondrej, J., Pettre, J., Olivier, A.-H., and Donikian, S. (2010). A synthetic-vision-based steering approach for crowd simulation. SIGGRAPH 7810: ACM SIGGRAPH 2010 Papers.
- Prazak, M., Kavan, L., McDonnell, R., Dobbyn, S., and O'Sullivan, C. (2009). Moving crowds: a linear animation system for crowd simulation. In Proceedings of the 2009 symposium on Interactive 3D graphics and games, I3D 7809, pages 9:1-9:1, New York, NY, USA. ACM.
- Qiu, F. and Hu, X. (2010). Modeling group structures in pedestrian crowd simulation. Simulation Modelling Practice and Theory, 18(2):190 - 205.
- Resnick, M. (1994). Turtles, termites, and traffic jams: explorations in massively parallel microworlds. MIT Press, Cambridge, MA, USA.
- Reynolds, C. W. (1987). Flocks, herds and schools: A distributed behavioral model. SIGGRAPH Comput. Graph., 21(4):25-34.
- Vigueras, G., Lozano, M., Ordun˜ a, J. M., and Grimaldo, F. (2010). A comparative study of partitioning methods for crowd simulations. Appl. Soft Comput., 10(1):225-235.
- Villamil, M. B., Oliveira, L. P. L., and Musse, S. R. (2005). A model for generating competitive groups based on virtual agents progression. In International Conference on Computer Animation and Social Agents, pages 133-138. Hong Kong Polytechnic University.
Paper Citation
in Harvard Style
Nonnenmacher V., Becker Villamil M. and Luna de Oliveira L. (2012). Modeling and Visualizing Individual and Global Trends of a Multi-agent System . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-22-8, pages 339-344. DOI: 10.5220/0004047903390344
in Bibtex Style
@conference{icinco12,
author={Vinicius Nonnenmacher and Marta Becker Villamil and Luiz Paulo Luna de Oliveira},
title={Modeling and Visualizing Individual and Global Trends of a Multi-agent System},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2012},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004047903390344},
isbn={978-989-8565-22-8},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Modeling and Visualizing Individual and Global Trends of a Multi-agent System
SN - 978-989-8565-22-8
AU - Nonnenmacher V.
AU - Becker Villamil M.
AU - Luna de Oliveira L.
PY - 2012
SP - 339
EP - 344
DO - 10.5220/0004047903390344