David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
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)|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Barbara Webb (2001). Can Robots Make Good Models of Biological Behaviour? Behavioral and Brain Sciences 24 (6):1033-1050.
Steven L. Peck (2008). The Hermeneutics of Ecological Simulation. Biology and Philosophy 23 (3):383-402.
Johannes Lenhard (2006). Surprised by a Nanowire: Simulation, Control, and Understanding. Philosophy of Science 73 (5):605-616.
Shaun Gallagher (2007). Simulation Trouble. Social Neuroscience 2 (3-4):353â365.
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.
Eric Winsberg (2001). Simulations, Models, and Theories: Complex Physical Systems and Their Representations. Proceedings of the Philosophy of Science Association 2001 (3):S442-.
J. Demongeot, D. Benaouda, O. Nérot & C. Jézéquel (1994). Random Simulation and Confiners: Their Application to Neural Networks. Acta Biotheoretica 42 (2-3):203-213.
Ronald N. Giere (2009). Is Computer Simulation Changing the Face of Experimentation? Philosophical Studies 143 (1):59 - 62.
Added to index2010-04-08
Total downloads20 ( #177,316 of 1,790,118 )
Recent downloads (6 months)9 ( #93,780 of 1,790,118 )
How can I increase my downloads?