Summary
In this paper, we present an hybrid ecosystem modeling based on emerging computation from interaction networks. Initially based on an individualbased modeling (IBM) simulation, we propose an automatic computation to detect predator-preys systems. After their detection, these systems are replaced by a differential system during the simulation. In this way, we can change the description level and improve both the computation time and the whole system analysis by detecting some emergent organizations. The description modification between IBM representation to differential one needs to identify the global coefficients of these differential equations. Due to the complexity of relations between these two kinds of representations, a genetic algorithm is proposed to solve this identification.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
DeAngelis, D.; and L. Gross, editors (1992) Individual-based models and approches in ecology. Chapman and Hall.
Baude, F.; Caromel, D.; Huet, F. and J. Vayssier (2000) Communicating mobile active object in Java. in Proceeding of HPCN Europe.
Von Bertalanffy, L.. (1968) General system theory foundations development applications. George Brazille Inc., New York.
Cardon, A. (2004)Modéliser et concevoir une machine pensante. Vuibert - collection Automates Intelligents.
Cardon, A. (2005) La complexité organisée, systèmes adaptatifs et champ organisationnel. Hermès-Lavoisier.
Frontier, S. (1999) Les écosystèmes. PUF.
Grim, V. (1999) Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the furture. Ecological Modelling, (115):129–148.
Gruber, T. (1991) The role of common ontology in achieving sharable, reusable knowledge bases. in proceeding of KR’91, Principles of Knowledge Representation and Reasoning: second international conference.
Koestler, A.; and J. Smythies (1969) Beyond reductionism. Hutchinson.
Le Moigne J.-L. (1994) Modélisation des systèmes complexes. Dunod.
Prévost, G. (2005) Modélisation d’écosystème multi-niveaux par des approches mixtes. PhD thesis, University of Le Havre.
Protégé Ontology Editor and Knowledge Acquisition System 2008) http://protege.stanford.edu.
Scheffer, M.; Baveco, J.M.; DeAngelis, D.L.; Rose, K.A. and E.H. van Nes (1995) Super-individuals a simple solution for modelling large populations on individual basis. Ecological Modelling 80, 161-170.
Tansley, A. (1935)The use and abuse of vegetational concepts and terms.Ecology, 16(3): 299.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Prévost, G., Bertelle, C. (2009). Detection and Reification of Emerging Dynamical Ecosystems from Interaction Networks. In: Bertelle, C., Duchamp, G.H., Kadri-Dahmani, H. (eds) Complex Systems and Self-organization Modelling. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88073-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-88073-8_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88072-1
Online ISBN: 978-3-540-88073-8
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)