SPARK: A Framework for Multi-Scale Agent-Based Biomedical Modeling
- PMID: 24163721
- PMCID: PMC3806198
- DOI: 10.4018/jats.2010070102
SPARK: A Framework for Multi-Scale Agent-Based Biomedical Modeling
Abstract
Multi-scale modeling of complex biological systems remains a central challenge in the systems biology community. A method of dynamic knowledge representation known as agent-based modeling enables the study of higher level behavior emerging from discrete events performed by individual components. With the advancement of computer technology, agent-based modeling has emerged as an innovative technique to model the complexities of systems biology. In this work, the authors describe SPARK (Simple Platform for Agent-based Representation of Knowledge), a framework for agent-based modeling specifically designed for systems-level biomedical model development. SPARK is a stand-alone application written in Java. It provides a user-friendly interface, and a simple programming language for developing Agent-Based Models (ABMs). SPARK has the following features specialized for modeling biomedical systems: 1) continuous space that can simulate real physical space; 2) flexible agent size and shape that can represent the relative proportions of various cell types; 3) multiple spaces that can concurrently simulate and visualize multiple scales in biomedical models; 4) a convenient graphical user interface. Existing ABMs of diabetic foot ulcers and acute inflammation were implemented in SPARK. Models of identical complexity were run in both NetLogo and SPARK; the SPARK-based models ran two to three times faster.
Keywords: Agent-Based; Computer Simulation; Framework; Models; SPARK.
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References
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- An G. Agent-based computer simulation and sirs: building a bridge between basic science and clinical trials. Shock (Augusta, Ga.) 2001;16:266–273. - PubMed
-
- An G. Innate Immune Response. NetLogo User Community Models; 2004.
-
- An G. In-silico experiments of existing and hypothetical cytokine-directed clinical trials using agent based modeling. Critical Care Medicine. 2004;32(10):2050–2060. - PubMed
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