Abstract
Thomas Schelling developed the first social agent-based simulation in 1978.
From now on DAI.
This is a preview of subscription content, access via your institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
The branch of knowledge that deals with the amount of space that people feel it necessary to set between themselves and others.
- 2.
The Foundation of Intelligent Physical Agents (FIPA) is now the eleventh Standards Committee of the IEEE Computer Society as FIPA dissolved in 2005.
References
Anthony, P., Soon, G., On, C., Alfred, R., & Lukose, D. (2014). Agent architecture: An overview. Transactions on Science and Technology, 18–35.
Argyropoulos, C., Ashraf, A., & Kakosimos, K. (2017). Multi-scale modelling pollutant dispersion and exposure against an accidental toxic release in an administration building using large eddy simulation and evacuation models.
Broday Walker, B., & Johnson, T. V. (2019). NetLogo and GIS: A powerful combination. In EPiC Series in Computing. Proceedings of 34th International Conference on Computers and Their Applications (Vol. 58, pp. 257–264).
Burstedde, C., Klauck, K., Schadschneider, A. & Zittartz, J. (2001) Simulation of pedestrian dynamics using a two-dimensional cellular automaton. Physica A: Statistical Mechanics and its Applications, 295(3–4), 507–525.
Campanella, M., & Hoogendoorn, s.,. (2014). The nomad model: Theory, developments and applications. Transportation Research Procedia, 2, 462–467.
Collier, N. T., & North, M. J. (2003). Parallel agent-based programming with repast for high performance computing. Simulation 2999 (in press).
Duch, W., Oentaryo, R. J., & Pasquier, M. (2008). Cognitive architectures: Where do we go from here? In P. Wang, B. Goertzel & S. Franklin (Eds.), Proceedings of the 2008 Conference on Artificial General Intelligence, 122–136. IOS Press.
Fahy, R. F. (1994). Exit 89-an evacuation model for high-rise buildings-model description and example applications. Fire Safety Science, 4, 657–668.
FIPA website. Retrieved May 15, 2022, from www.fipa.org.
Franklin, S., & Graesser, A. (1997). Is it an agent, or just a program? A taxonomy for autonomous agents. In Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages. Springer.
Ha, V., & Lykotrafitis, G. (2012). Agent-based modelling of a multi-room multi-floor building emergency evacuation. Physica A: Statistical Mechanics and its Applications, 391(8).
Harvey, B. (1997). Computer science logo style. MIT Press.
Heise, E., & Westermann, R. (1989). Anderson’s theory of cognitive architecture (ACT*). In H. Westmeyer (Ed.), Psychological theories from a structuralist point of view. Recent research in psychology. Springer.
Helbing, D., & Molnar, P. (1995). Social force model for pedestrian dynamics. Physical Review E, 51(5), 4282.
Hoogendoorn, S., & Bovy, P. (2004). Pedestrian route-choice and activity scheduling theory and models, transportation research part b. Methodological, 38(2), 169–190.
Kaur, N., & Kaur, H. (2022). A multi-agent based evacuation planning for disaster management: A narrative review. Archives of Computational Methods in Engineering.
Korhonen, T., & Hostikka, S. (2010). Fire dynamics simulator with evacuation: FDS+Evac technical reference and user’s guide (FDS 5.5.1, Evac 2.2.1).
Langley, P., Laird, J. E., & Rogers, S. (2009). Cognitive architectures: Research issues and challenges. Cognitive Systems Research, 10(2), 141–160.
Lochhead, I. M., & Hedley, N. (2019). Modeling evacuation in institutional space: Linking three-dimensional data capture, simulation, analysis, and visualization workflows for risk assessment and communication. Information Visualization, 18(1), 173–192.
Longzhen, Z., & Feng, S. (2022). Pedestrian evacuation method based on improved cellular automata in emergencies. Engineering, Construction and Architectural Management. Ahead of print ECAM-10-2021-0921.
Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K., & Balan, G. (2005). MASON: A multiagent simulation environment. SIMULATION, 81, 517–527.
Ma, Y., Liu, X., Huo, F., & Li, H. (2022). Analysis of cooperation behaviors and crowd dynamics during pedestrian evacuation with group existence. Sustainability, 14, 5278.
Macal, C., & North, M. (2009). Agent-based modeling and simulation. In Proceedings of the 2009 Winter Simulation Conference (WSC).
Mallach, D., & Macal, C. (2001). The simulation of social agents: An introduction. Social Science Computer Review, 19(3), 245–248.
Manenti, L., Manzoni, S., Vizzari, G., Ohtsuka, K., & Shimura, K. (2012). An agent-based proxemic model for pedestrian and group dynamics: Motivations and first experiments. In D. Villatoro, J. Sabater-Mir & J. S. Sichman (Eds.), Multi-Agent-Based Simulation XII. MABS 2011. Lecture Notes in Computer Science (vol. 7124, pp. 74–84). Springer, Berlin, Heidelberg.
Minar, N., Burkhart, R., Langton, C., & Askenazi, M. (1996). The swarm simulation system: A toolkit for building multi-agent simulations (SFI Working Paper: 1996-06-042).
Mott MacDonald Simulation Group. (2010). Simulation of transient evacuation and pedestrian movement STEPS, User Manual (3.1 Version).
Muramatsu, M., Irie, T., Nagatani, T. (1999) Jamming transition in pedestrian counter flow. Physica A: Statistical Mechanics and its Applications, 267(3–4), 487–498.
North, M. J., Collier, N. T., Ozik, J., Tatara, E., Altaweel, M., Macal, C. M., Bragen, M., & Sydelko, P. (2013). Complex adaptive systems modeling with repast simphony. Complex Adaptive Systems Modeling.
North, M. J., & Macal, C. M. (2007). Managing business complexity: Discovering strategic solutions with agent-based modeling and simulation. Oxford University Press.
Pan, X., Han, C. S., Dauber, K., & Law, K. H. (2007). A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. AI & Society, 22, 113–132.
Papathanasopoulou, V., Spyropoulou, I., Perakis, H., Gikas, V., & Andrikopoulou, G. (2022). A data-driven model for pedestrian behavior classification and trajectory prediction. IEEE Open Journal of Intelligent Transportation Systems, 3, 328–339.
Parker, M. T. (2001). (2001) Ascape: Abstracting complexity. Natural Resource Environmental Issues, 8, 21–30.
Rahouti, A., Lovreglio, R., Dias, C., & Datoussaid, S. (2019). Simulating assisted evacuation using unity 3D. https://doi.org/10.1007/978-3-030-11440-4_30
Reynolds, C. (1999). Steering behaviours for autonomous characters. In A. Yu (Ed.), GDC 99 (pp. 763–782). Miller Freeman.
Şahin, C., Rokne, J., & Alhajj, R. (2019). Human behavior modeling for simulating evacuation of buildings during emergencies. Physica A: Statistical Mechanics and its Applications, 528.
Sakellariou, I., Kefalas, P., & Stamatopoulou, I. (2009). MAS coursework design in NetLogo. In Proceedings of the International Workshop on the Educational Uses of Multi-Agent Systems (EDUMAS 2009) (pp. 47–54).
Schelling, T. C. (1978). Micromotives and macrobehavior. Norton.
Standish, R. K. (2008). Going stupid with EcoLab. SIMULATION, 2008(84), 611–618.
Thunderhead Engineering (2009). Pathfinder 2009 (2009.2 Version). Technical Reference.
Thompson, P. A., & Marchant, E. W. (1995). Testing and application of the computer model ‘Simulex.’ Fire Safety Journal, 24(2), 149–166.
Tong, Y., & Bode, N. W. F. (2022). The principles of pedestrian route choice. Journal of the Royal Society Interface., 19, 20220061.
Turner, A., & Penn, A. (2002). Encoding natural movement as an agent-based system: An investigation into human pedestrian behavior in the built environment. Environment and Planning B: Planning and Design, 29, 473–490.
Uno, K., & Kashiyama, K. (2008). Development of simulation system for the disaster evacuation based on multi-agent model using GIS. Tsinghua Science and Technology, 13(S1), 348–353.
Wilensky, U. (1999). NetLogo. Center for connected learning and computer-based modeling, Northwestern university. http://ccl.northwestern.edu/netlogo/
Wooldridge, M. (2009). An introduction to multiagent systems (2nd ed.). John Wiley & Sons.
Wozniak, M., & Dziecielski, M. (2022). Should i turn or should i go? Simulation of pedestrian behaviour in an urban environment. Journal of Simulation. The Operational Research Society.
Zhong, G. Zhai, G., & Chen, W. (2022). Evacuation simulation of multi-story buildings during earthquakes based on improved cellular automata model. Journal of Asian Architecture & Building Engineering.
Zhou, D., Wei, W. B., Yang, C. X., Ding, N., Liu, Y., He, M. L., & Zhou, J. Q. (2010). Treatment of retinal vein occlusion in rabbits with traditional Chinese medicine Fufang XueShuan Tong. Chinese Medical Journal, 123(22), 3293–3298.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cocho Bermejo, A. (2023). Space Syntax as a Distributed Artificial Intelligence System: A Framework for a Multi-Agent System Development. In: Mora, P.L., Viana, D.L., Morais, F., Vieira Vaz, J. (eds) Formal Methods in Architecture. FMA 2022. Digital Innovations in Architecture, Engineering and Construction. Springer, Singapore. https://doi.org/10.1007/978-981-99-2217-8_10
Download citation
DOI: https://doi.org/10.1007/978-981-99-2217-8_10
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-2216-1
Online ISBN: 978-981-99-2217-8
eBook Packages: EngineeringEngineering (R0)