Abstract
Computer simulations constitute a significant scientific tool for promoting scientific understanding of natural phenomena and dynamic processes. Substantial leaps in computational force and software engineering methodologies now allow the design and development of large-scale biological models, which – when combined with advanced graphics tools – may produce realistic biological scenarios, that reveal new scientific explanations and knowledge about real life phenomena. A state-of-the-art simulation system termed Reactive Animation (RA) will serve as a study case to examine the contemporary philosophical debate on the scientific value of simulations, as we demonstrate its ability to form a scientific explanation of natural phenomena and to generate new emergent behaviors, making possible a prediction or hypothesis about the equivalent real-life phenomena.
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Notes
- 1.
The term Organogenesis refers to the development of a functioning, anatomically specialized organ from a relatively small number of relatively undifferentiated precursor cells, and is critically influenced by factors involving multiple scales, dynamics, and 3D anatomic relationships (Setty et al. 2008).
- 2.
Animation: http://www.wisdom.weizmann.ac.il/~yaki/wisDay/index.html. Demonstrating movie: http://www.pnas.org/content/suppl/2008/12/17/0808725105.DCSupplemental/SM1.mov
- 3.
Extracellular Matrix (ECM) is a collection of extracellular molecules secreted by cells that provides structural and biochemical support to the surrounding cells.
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Stettiner, O. (2016). From Silico to Vitro: Computational Models of Complex Biological Systems Reveal Real-World Emergent Phenomena. In: Müller, V.C. (eds) Computing and Philosophy. Synthese Library, vol 375. Springer, Cham. https://doi.org/10.1007/978-3-319-23291-1_9
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