A new agent-based model to manage construction project risks – application to the crossroad of Bab El Karmadine at Tlemcen

References

• Bachelet, R. (1997). Les représentations en génie logiciel Des paradigmes "classiques" à l'orienté objet. La Revue des Sciences de Gestion  [Software Engineering representation. From classical to oriented object paradigms], Direction et Gestion, 164, 87–100.10.1051/larsg:1997021
   Google Scholar
• Balke, T., & Gilbert, N. (2014). How do agents make decisions? A survey. Journal of Artificial Societies and Social Simulation, 17(4), 13, http://jasss.soc.surrey.ac.uk/17/4/13.html. doi: 10.18564/jasss.2687.
   Web of Science ®Google Scholar
• Bousquet F., Le Page C., Muller J. P. (2002). Modélisation et simulation multi-agent  [Multi-Agent Modelling and Simulation]. Assises 2002 du GDR Information – Interaction – Intelligence, http://www.irit.fr/GDR-I3/fichiers/assises2002/papers/09-ModelisationEtSimulationMultiAgents.pdf
   Google Scholar
• Caillou, P., Gaudou, B., Grignard, A., Truong, C. Q., Taillandier, P. (2015). A simple-to-use BDI architecture for agent-based modeling and simulation. The Eleventh Conference of the European Social Simulation Association (ESSA 2015),Sep 2015, Groningen, Netherlands. http://www.essa2015.org/
   Google Scholar
• Carr, V., & Tah, J. H. M. (2001). A fuzzy approach to construction project risk assessment and analysis: Construction project risk management system. Advances in Engineering Software, 32, 847–857.10.1016/S0965-9978(01)00036-9
   Web of Science ®Google Scholar
• Chan D.WM., Kumaraswamy M. (1997). A comparative study of causes of time overruns in Hong Kong construction projects. International Journal of Project Management, 15, 55–63.10.1016/S0263-7863(96)00039-7
   Google Scholar
• El-Goharyn, N., & El-Dirabyt, T. (2010). Domain ontology for processes in infrastructure and construction. Journal of Construction Engineering and Management, 131, 591–603.
   Google Scholar
• Grignard, A., Taillandier, P., Gaudou, B., Vo, D. A., Huynh, N. Q., & Drogoul, A. (2013). GAMA 1.6: Advancing the art of complex agent-based modeling and simulation. PRIMA 2013: Principles and practice of multi-agent systems, G. Boella, E. Elkind, B. Savarimuthu, F. Dignum and M. Purvis, Springer, Berlin 117–131.
   Google Scholar
• Gruber, T. R. (1993). Toward principles for the design of ontologies used for knowledge sharing? International Journal of Human-Computer Studies, 43, 907–928.
   Web of Science ®Google Scholar
• Kerzner H. (2003). Project management: A systems approach to planning, scheduling, and controlling (8th ed.). New Jersey: Wiley.
   Google Scholar
• Mehdizadeh, R., Taillandier, F., Breysse, D., & Niandou, H. (2012). Methodology and tools for risk assessment in construction projects using risk breakdown structure. European Journal of Environmental and Civil Engineering, 16, 78–98.
   Web of Science ®Google Scholar
• Perrin L., Muñoz-Giraldo F., Dufaud O., Laurent A. (2012). Normative barriers improvement through the MADS/MOSAR methodology. Safety Science, 50, 1502–1512.
   Web of Science ®Google Scholar
• Project Management Institute. (2000). A guide to the project management body of knowledge (2000th ed.). USA: Project Management Institute.
   Google Scholar
• Reuillon R, Leclaire M, Passerat-Palmbach J. (2015, June). Model exploration using OpenMOLE – A workflow engine for large scale distributed design of experiments and parameter tuning. IEEE High Performance Computing and Simulation Conference 2015, Amsterdam, Netherlands.
   Google Scholar
• Simon, P., Hillson, D., & Newland, K. (Eds.). (1997). Project risk analysis and management (PRAM) guide. The Association for Project Management, High Wycombe.
   Google Scholar
• Taillandier P., Vo D.-A., Amouroux E., Drogoul A. (2012). GAMA: A simulation platform that integrates geographical information data, agent-based modeling and multi-scale control. Proceedings of 13th International Conference on Principles and Practices in Multi-Agent Systems (PRIMA). N. Desai, A. Liu and M. Winikoff, Springer Berlin Heidelberg. 7057: 242–258.10.1007/978-3-642-25920-3
   Google Scholar
• Taillandier P., Therond O., Gaudou B. (2012). A new BDI agent architecture based on the belief theory. Application to the modelling of cropping plan decision-making. Environmental Modelling and Software Society (iEMSs), 1–5 July 2012, Leipzig, France.
   Google Scholar
• Taillandier, F., & Taillandier, P. (2014). Risk management in construction project using agent-based simulation. In Highlights of practical applications of heterogeneous multi-agent systems: The PAAMS Collection, J. Corchado, J. Bajo, J. Kozlak et al., Springer International Publishing. 430: 34–43.10.1007/978-3-319-07767-3
   Google Scholar
• Taillandier, F., Taillandier, P., Tepeli, E., Breysse, D., Mehdizadeh, R., & Khartabil, F. (2015). A multi-agent model to manage risks in construction project (SMACC). Automation in Construction, 58, 1–18.10.1016/j.autcon.2015.06.005
   Web of Science ®Google Scholar
• Walewski, J., & Gibson, E. (2003). International project risk assessment: Methods, procedures, and critical factors. Technical report, Center Construction Industry, Birminham.
   Google Scholar