The challenge of context permeability in social simulation

Proceedings of the 4th Conference of the European Social Simulation Association, ESSA 2007

Volumn , Issue , 2007, Pages 489-500

  Antunes, Luis ^a   Balsa, João ^a   Urbano, Paulo ^a   Coelho, Helder ^a  

^a UNIVERSITY OF LISBON   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; MULTI AGENT SYSTEMS;

MULTI AGENT; SIMPLE NETWORKS; SOCIAL RELATIONS; SOCIAL SIMULATIONS; SOCIAL STRUCTURE;

MECHANICAL PERMEABILITY;

EID: 84899849365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. L. Antunes, H. Coelho, J. Balsa, and A. Respício. e*plore v.0: Principia for strategic exploration of social simulaiton experiments design space. In Proc. of the First Congress on Social Simulation WCSS 2006, Kyoto, Japan, 2006.
2. R. Axelrod. A model of the emergence of new political actors. In N. Gilbert and R. Conte, editors, Artificial societies: the computer simulation of social life. UCL Press, London, 1995.
3. C. Castelfranchi, S. Barber, J. Sabater-Mir, and M. Singh, editors. Trust in Agent Societies. AAMAS Workshop, Utrecht, The Netherlands, 2005.
4. J. Delgado. Emergence of social conventions in complex networks. Artif. Intell., 141(1/2):171–185, 2002.
5. R. Falcone, S. Barber, J. Sabater-Mir, and M. Singh, editors. Trust in Agent Societies. AAMAS Workshop, Hakodate, Japan, 2006.
6. J. Ferber, F. Michel, and J.-A. Báez-Barranco. AGRE: Integrating Environments with Organizations. In D. Weyns, H. V. D. Parunak, and F. Michel, editors, Environments for Multi-Agent Systems, volume 3374 of LNAI, pages 48–56, 2005.
7. A. Flache and R. Hegselmann. Do irregular grids make a difference? relaxing the spatial regularity assumption in cellular models of social dynamics. J. Artificial Societies and Social Simulation, 4(4), 2001.
8. R. A. Hanneman and M. Riddle. Introduction to Social Network Methods. faculty.ucr.edu/ hanneman, University of California, Riverside, 2005.
9. F. Kaplan. The emergence of a lexicon in a population of autonomous agents (in French). PhD thesis, Université de Paris 6, 2000.
10. Y. Matsuo, M. Hamasaki, Y. Nakamura, T. Nishimura, K. Hasida, H. Takeda, J. Mori, D. Bollegala, and M. Ishizuka. Spinning multiple social networks for semantic web. In Proceedings, The Twenty-First National Conference on Artificial Intelligence and the Eighteenth Innovative Applications of Artificial Intelligence Conference, July 16-20, 2006, Boston, Massachusetts, USA. AAAI Press, 2006.
11. N. Minar, R. Burkhart, C. Langton, and M. Askenazi. The swarm simulation system: a toolkit for building multi-agent simulations. Technical Report 96-06-042, Santa Fe Institute, 1996.
12. M. J. North, N. T. Collier, and J. R. Vos. Experiences Creating Three Implementations of the Repast Agent Modeling Toolkit. ACM Transactions on Modeling and Computer Simulation, 16(1):1–25, January 2006.
13. J. M. Pujol, A. Flache, J. Delgado, and R. Sangüesa. How can social networks ever become complex? modelling the emergence of complex networks from local social exchanges. Journal of Artificial Societies and Social Simulation, 8(4), 2005.
14. M. Schilperoord. Complexity in Foresight, experiences with INTERSECTIONS: an agent-based simulation workbench to help achieve adaptiveness in strategic planning. PhD thesis, Erasmus University, Roterdam, 2005.
15. P. Urbano, L. Antunes, and H. Coelho. Application of consensus games to the selection of metrical conventions. In M. Mohammadian, editor, Proceedings of International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2003), Vienna, Austria, February 2003.
16. D. J. Watts and S. H. Strogatz. Collective dynamics of ‘small-world’ networks. Nature, 393:440–442, April 1998.
17. U. Wilensky. NetLogo, 1999. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL. http://ccl.northwestern.edu/netlogo/.