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Simulation of stochastic micropopulation models--I. The SUMMERS simulation shell

E Ackerman1, Z Zhuo, M Altmann

  • 1National Micropopulation Simulation Resource, Health Computer Sciences, University of Minnesota, Minneapolis 55455.

Computers in Biology and Medicine
|May 1, 1993
PubMed
Summary
This summary is machine-generated.

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SUMMERS is a simulation framework for stochastic micropopulation models, tracking individuals through states. It supports complex interactions, characteristics, and activities, with Monte Carlo rules for stochastic decisions and sensitivity analysis.

Area of Science:

  • Computational Biology
  • Ecological Modeling
  • Population Dynamics

Background:

  • Micropopulation modeling requires frameworks that can track individual behavior and interactions.
  • Stochasticity is crucial for accurately representing population dynamics.
  • Existing models may lack flexibility in handling complex individual characteristics and activities.

Purpose of the Study:

  • To introduce SUMMERS, a generic, abstract model and simulation shell.
  • To provide a flexible framework for implementing stochastic micropopulation models.
  • To facilitate the analysis of individual-based population dynamics.

Main Methods:

  • Development of a generic, abstract model (SUMMERS) and its simulation shell.
  • Implementation of individual-based tracking through a sequence of states.

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  • Incorporation of group interactions, individual characteristics, and multiple simultaneous activities.
  • Utilizing Monte Carlo rules for stochastic decision-making.
  • Employing keywords for simulation control and report generation.
  • Integration of a sensitivity analysis utility.

    • Main Results:

    • SUMMERS provides a robust framework for stochastic micropopulation modeling.
    • The shell effectively supports complex individual and group dynamics.
    • Stochastic elements are managed via Monte Carlo methods.
    • Sensitivity analysis aids in understanding model dependencies.
    • Software engineering principles ensure a well-structured system.

    Conclusions:

    • SUMMERS offers a versatile platform for simulating individual-based population models.
    • The framework's design supports detailed analysis of population processes.
    • Further specializations of SUMMERS are detailed in subsequent publications.