• DocumentCode
    555896
  • Title

    BioMASS: A biological multi-agent simulation system

  • Author

    Sansores, Candelaria E. ; Reyes, Flavio ; Gómez, Hector F. ; Pavón, Juan ; CalderÃBn-Aguilera, Luis E.

  • Author_Institution
    Complex Syst. Simulation Lab., Univ. del Caribe, Cancún, Mexico
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    675
  • Lastpage
    682
  • Abstract
    This article presents an agent based model for the simulation of biological systems. The approach consists mainly of providing individual based models for each of the functional groups that conform an ecosystem. Functional groups (a term commonly used by ecologists) may represent a group of individuals (from the same or from different species) that share relevant attributes. This provides flexibility to configure different kinds of populations by parametrization without the need of programming, something useful for biologists. Additionally, a simulation tool implemented as a multi-agent system facilitates the analysis and understanding of ecological complexity. Multi-agent systems are proposed to address heterogeneity and autonomy demanded by the interdisciplinary individual-based modeling methodology. The objective of the system is to explore the intricate relationships among population and individuals, in an ecosystem approach. The main difference with other tools is the ability of incorporating individual decisions, based on metabolism and environmental conditions.
  • Keywords
    biology computing; ecology; environmental science computing; multi-agent systems; BioMASS; agent based model; biological multiagent simulation system; ecological complexity; functional groups; interdisciplinary individual-based modeling methodology; Biological system modeling; Biomass; Computational modeling; Ecosystems; Mathematical model; Organisms; Predator prey systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Systems (FedCSIS), 2011 Federated Conference on
  • Conference_Location
    Szczecin
  • Print_ISBN
    978-1-4577-0041-5
  • Electronic_ISBN
    978-83-60810-35-4
  • Type

    conf

  • Filename
    6078181