|Abstract||The present paper introduces "ontomimetic simulation" and argues that this class of models has enabled the investigation of hypotheses about complex systems in new ways that have epistemological relevance. Ontomimetic simulation can be differentiated from other types of modeling by its reliance on causal similarity in addition to representation. Phenomena are modeled not directly but via mimesis of the ontology (i.e. the "underlying physics", microlevel etc.) of systems and a subsequent animation of the resulting model ontology as a dynamical system. While the ontology is clearly used for computing system states, what is epistemologically important is that it is viewed as a hypothesis about the makeup of the studied system. This type of simulation, where model ontologies are used as hypotheses, is here called inverse ontomimetic simulation since it reverses the typical informational path from the target to the model system. It links experimental and analytical techniques in being explicitly dynamical while at the same time capable of abstraction. Inverse ontomimetic simulation is argued to have a great impact on science and to be the tool for hypothesis-testing that has made systematic theory development for complex systems possible.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Barbara Webb (2001). Can Robots Make Good Models of Biological Behaviour? Behavioral and Brain Sciences 24 (6):1033-1050.
J. Demongeot, D. Benaouda, O. Nérot & C. Jézéquel (1994). Random Simulation and Confiners: Their Application to Neural Networks. Acta Biotheoretica 42 (2-3).
Eric Winsberg (2001). Simulations, Models, and Theories: Complex Physical Systems and Their Representations. Proceedings of the Philosophy of Science Association 2001 (3):S442-.
Saharon Shelah & Pauli Vaisanen (2000). On Inverse Γ-Systems and the Number of L∞Λ- Equivalent, Non-Isomorphic Models for Λ Singular. Journal of Symbolic Logic 65 (1):272 - 284.
Shaun Gallagher (2007). Simulation Trouble. Social Neuroscience 2 (3-4):353â365.
Johannes Lenhard (2006). Surprised by a Nanowire: Simulation, Control, and Understanding. Philosophy of Science 73 (5):605-616.
Steven L. Peck (2008). The Hermeneutics of Ecological Simulation. Biology and Philosophy 23 (3):383-402.
Ronald N. Giere (2009). Is Computer Simulation Changing the Face of Experimentation? Philosophical Studies 143 (1):59 - 62.
Added to index2010-04-08
Total downloads3 ( #213,130 of 722,750 )
Recent downloads (6 months)0
How can I increase my downloads?