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THE PHILOSOPHY AND PRACTICALITY OF MODELING INVOLVING COMPLEX SYSTEMS
PHILOSOPHY PRACTICALITY
2008/10/28
In this paper we outline the philosophy of the models and modeling perspectives of learning. The paper is based on the Taoist premise that the true structure of things is irreducible to formal stateme...
Learning from a simulated universe: the limits of realistic modeling in astrophysics and cosmology.
Computers models and simulations Realism Cosmology
2008/4/22
As noticed recently by Winsberg (2003), how computer models and simulations get their epistemic credentials remains in need of epistemological scrutiny. My aim in this paper is to contribute to fill t...
The optimality approach to modeling natural selection has been criticized by many biologists and philosophers of biology. For instance, Lewontin (1979) argues that the optimality approach is a shortcu...
Qualitative Scientific Modeling and Loop Analysis
models and idealization qualitative analysis
2008/4/22
Loop analysis is a method of qualitative modeling anticipated by Sewall Wright and systematically developed by Richard Levins. In Levins’ (1966) distinctions between modeling strategies, loop analysis...
Modeling Reality
models idealization meteorology
2008/4/15
My aim in this paper is to articulate an account of scientific modeling that reconciles pluralism about modeling with a modest form of scientific realism. The central claim of this approach is that th...
Models are a principle instrument of modern science. They are built, applied, tested, compared, revised and interpreted in an expansive scientific literature. Throughout this paper, I will argue that ...
Modeling High-Temperature Superconductivity: Correspondence at Bay?
Theory change correspondence principle Bayesianism
2008/4/15
How does a predecessor theory relate to its successor? According to Heinz Post's General Correspondence Principle, the successor theory has to account for the empirical success of its predecessor. Aft...
Computational Modeling vs. Computational Explanation: Is Everything a Turing Machine, and Does It Matter to the Philosophy of Mind?
computationalism computational theory of mind computational modeling
2008/4/10
According to pancomputationalism, everything is a computing system. In this paper, I distinguish between different varieties of pancomputationalism. I find that although some varieties are more plausi...
Cellular Automata (CA) based simulations are widely used in a great variety of domains, fromstatistical physics to social science. They allow for spectacular displays and numerical predictions. Are th...
Entering Modeling Space An Apprenticeship in Molecular Modeling
molecular modeling molecular mechanics electronic structure
2008/4/7
Twenty years ago computer modeling had made its first major impact on the chemist’s patterns of thought. Now it is prominent in research and graduate education, and has made its presence felt througho...
Biogeochemical Models in the Environmental Sciences The Dynamical System Paradigm and the Role of Simulation Modeling
models in biogeochemistry dynamical system simulation model self-modifying system complexity
2008/4/7
Dynamical systems are the paradigm for the representation of complex systems. The fixed encoding in a closed set of equations, however, contrasts with the openness of biogeochemical systems. Parameter...
Modeling in Chemical Engineering
modeling chemical engineering similarity considerations dimensional analysis ceteris paribus conditions
2008/4/7
Models underlying the use of similarity considerations, dimensionless numbers, and dimensional analysis in chemical engineering are discussed. Special attention is given to the many levels at which mo...