Towards a Methodology for Situated Cellular Agent Based Crowd Simulations

1. Bandini, S., Mauri, G., Vizzari, G.: Supporting Action-at-a-distance in Situated Cellular Agents. Fundamenta Informatic Fundamenta Informaticae 69, 251–271 (2006)

   MATH  MathSciNet  Google Scholar 

2. Helbing, D.: A Mathematical Model for the Behavior of Pedestrians. Behavioral Science, 298–310 (1991)

   Google Scholar 

3. Schadschneider, A., Kirchner, A., Nishinari, K.: CA Approach to Collective Phenomena in Pedestrian Dynamics. In: Bandini, S., Chopard, B., Tomassini, M. (eds.) ACRI 2002. LNCS, vol. 2493, pp. 239–248. Springer, Heidelberg (2002)

   Chapter  Google Scholar 

4. Dijkstra, J., Jessurun, J., Timmermans, H.J.P.: A Multi-Agent Cellular Automata Model of Pedestrian Movement. In: Pedestrian and Evacuation Dynamics, pp. 173–181. Springer, Heidelberg (2001)

   Google Scholar 

5. Helbing, D., Schweitzer, F., Keltsch, J., Molnár, P.: Active Walker Model for the Formation of Human and Animal Trail systems. Physical Review E 56, 2527–2539 (1997)

   Article  Google Scholar 

6. Bandini, S., Manzoni, S., Vizzari, G.: Situated Cellular Agents: a Model to Simulate Crowding Dynamics. IEICE Transactions on Information and Systems: Special Issues on Cellular Automata E87-D, 669–676 (2004)

   Google Scholar 

7. Zambonelli, F., Wooldridge, M.J., Jennings, N.R.: Developing Multiagent Systems: The GAIA Methodology. ACM Transactions on Software Engineering and Methodology 12, 317–370 (2003)

   Article  Google Scholar 

8. Pavón, J., Gómez-Sanz, J.J.: Agent Oriented Software Engineering with INGENIAS. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS, vol. 2691, pp. 394–403. Springer, Heidelberg (2003)

   Chapter  Google Scholar 

9. Omicini, A.: SODA: Societies and Infrastructures in the Analysis and Design of Agent-Based Systems. In: Ciancarini, P., Wooldridge, M.J. (eds.) AOSE 2000. LNCS, vol. 1957, pp. 185–193. Springer, Heidelberg (2001)

   Chapter  Google Scholar 

10. Campos, A.M.C., Canuto, A.M.P., Fernandes, J.H.C.: Towards a Methodology for Developing Agent-based Simulations: The MASim Methodology. In: 3rd international Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2004), Washington, DC, USA, pp. 1494–1495. ACM Press, New York (2004)

    Google Scholar 

11. Bandini, S., Manzoni, S., Simone, C.: Dealing with Space in Multi–Agent Systems: a Model for Situated MAS. In: Proceedings of the first international joint conference on Autonomous agents and multiagent systems, pp. 1183–1190. ACM Press, New York (2002)

    Chapter  Google Scholar 

12. Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Englewood Cliffs (2002)

    Google Scholar 

13. Bandini, S., Manzoni, S., Vizzari, G.: Towards a Specification and Execution Environment for Simulations Based on MMASS: Managing At–a–distance Interaction. In: Trappl, R. (ed.) Proceedings of the 17th European Meeting on Cybernetics and Systems Research, Austrian Society for Cybernetic Studies, pp. 636–641 (2004)

    Google Scholar 

14. Bandini, S., Celada, F., Manzoni, S., Puzone, R., Vizzari, G.: Modelling the Immune System with Situated Agents. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.) WIRN 2005 and NAIS 2005. LNCS, vol. 3931, pp. 231–243. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

15. Bandini, S., Manzoni, S., Vizzari, G.: Crowd Modelling and Simulation: Towards 3D Visualization. In: Recent Advances in Design and Decision Support Systems in Architecture and Urban Planning, pp. 161–175. Kluwer Academic Publisher, Dordrecht (2004)

    Google Scholar 

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