Modelling spatial self-organisation with swarm intelligence processes
Pages 374 - 382
Abstract
Urban dynamics modelling needs to implement spatial organisation emergence in order to describe the development of services evolution and their usage within spatial centres. In this paper, we propose an extension of the nest building algorithm with multicentre, multicriteria and adaptive processes. We combine a decentralised approach based on emergent clustering mixed with spatial constraints or attractions. Typically, this model is suitable to analyse and simulate urban dynamics like the evolution of cultural equipment in urban area.
References
[1]
Aziz-Alaoui, M.A. and Bertelle, C. (Eds.) (2006) Emergent Properties in Natural and Artificial Dynamical Systems, 'Understanding Complex Systems' series, Springer.
[2]
Benenson, I. and Torrens, P.M. (2004) Geosimulation - Automata-Based Modeling of Urban Phenomena, Wiley.
[3]
Bertelle, C., Duchamp, G.H.E. and Kadri-Dahmani, H. (Eds.) (2009) Complex Systems and Self-Organization Modelling, 'Understanding Complex Systems' series, Springer.
[4]
Bertelle, C., Flouret, M., Jay, V., Olivier, D. and Ponty, J-L. (2001) 'Genetic algorithms on automata with multiplicities for adaptive agent behaviour in emergent organizations', in SCI'2001, Orlando, Florida, USA, 22-25 July.
[5]
Bonabeau, E., Dorigo, M. and Theraulaz, G. (1999) Swam Intelligence, from Natural to Artificial Systems, a volume in the Santa Fe Institute Studies in the Sciences of Complexity, Oxford University Press.
[6]
De Castro, L.N. and Timmis, J. (2002) Artificial Immune System: A New Computational Approach, Springer-Verlag, London, UK.
[7]
Ghnemat, R., Bertelle, C. and Duchamp, G.H.E. (2007) 'Adaptive automata community detection and clustering, a generic methodology', in Proceedings of World Congress on Engineering 2007, International Conference of Computational Intelligence and Intelligent Systems, London, UK, 2-4 July, pp.25-30.
[8]
Ghnemat, R., Oqeili, S., Bertelle, C. and Duchamp, G.H.E. (2006) 'Automata-based adaptive behavior for economic modelling using game theory', in Aziz-Alaoui, M.A. and Bertelle, C. (Eds.): Emergent Properties in Natural and Artificial Dynamical Systems, Springer.
[9]
Kennedy, J. and Eberhart, R.C. (1995) 'Particle swarm optimization', in Proceedings of IEEE International Conference on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NJ, Vol. 5, No. 3, pp.1942-1948.
[10]
Le Moigne, J-L. (1999) La Modélisation des Systèmes Complexes, Dunod.
[11]
Repast website (2009) http://repast.sourceforge.net.
[12]
Reynolds, C.W. (1987) 'Flocks, herds and schools: a distributed behavioral model', in Computer Graphics, Vol. 21, No. 4 (SIGGRAPH'87 Conference Proceedings), pp.25-34.
[13]
Schweitzer, F. (2003) Brownian Agents and Active Particles, Springer.
[14]
Weiss, G. (Ed.) (1999) Multiagent Systems, MIT Press.
- Modelling spatial self-organisation with swarm intelligence processes
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Inderscience Publishers
Geneva 15, Switzerland
Publication History
Published: 01 November 2010
Author Tags
- MCDM
- ant clustering
- ant systems
- attractions
- bio-inspired computation
- complex systems
- cultural dynamics
- dynamic modelling
- emergent clustering
- gentrification
- multicriteria decision making
- nest building
- self-organisation
- services evolution
- simulation
- spatial constraints
- spatial organisation
- sustainability
- sustainable development
- swarm intelligence
- urban development
- urban dynamics
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