Sanctioning Models
The Epistemology of Simulation
Dados Bibliográficos
| ID | 5113705 |
|---|---|
| Autores | Eric Winsberg (0000-0002-8764-0072, Indiana University Bloomington, autor correspondente) |
| Ano | 1999 |
| Volume | 12 |
| Fascículo | 2 |
| Páginas | 275-292 |
| Data de publicação | 1999-01-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Science in Context (JOURNAL) |
| Identificadores do periódico | ISSN: 0269-8897 • E-ISSN: 1474-0664 |
| Editora | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0269889700003422 |
| OpenAlex | W1977976576 |
| Idioma | EN |
| Citações recebidas | 62 |
| Referências citadas | 11 |
The ArgumentIn its reconstruction of scientific practice, philosophy of science has traditionally placed scientific theories in a central role, and has reduced the problem of mediating between theories and the world to formal considerations. Many applications of scientific theories, however, involve complex mathematical models whose constitutive equations are analytically unsolvable. The study of these applications often consists in developing representations of the underlying physics on a computer, and using the techniques of computer simulation in order to learn about the behavior of these systems. In many instances, these computer simulations are not simple number-crunching techniques. They involve a complex chain of inferences that serve to transform theoretical structures into specific concrete knowledge of physical systems. In this paper I argue that this process of transformation has its own epistemology. I also argue that this kind of epistemology is unfamiliar to most philosophy of science, which has traditionally concerned itself with the justification of theories, not with their application. Finally, I urge that the nature of this epistemology suggests that the end results of some simulations do not bear a simple, straightforward relation to the theories from which they stem
Cognitive science · Epistemology · Epistemology of Wikipedia · Formal epistemology · Philosophy of science · Social epistemology · Chemistry · Computer Science · Philosophy · Philosophy and History of Science · Psychology · Science and Climate Studies · Scientific Computing and Data Management
Agent-Based Models and Simulations in Economics and Social Sciences
Lumping, testing, tuning
La Noción de Modelo en las Ciencias Sociales
Global climate science, uncertainty and politics
The philosophy of simulation
Simulated Experiments
A Parser as an Epistemic Artifact
Epistemological Debate Underlying Computer Simulations Used in Science Teaching
Scientific Models and Simulations
Epistemological Framework for Computer Simulations in Building Science Research
Ecological-enactive scientific cognition
The Born-Oppenheimer Approximation and its role in the reduction of chemistry
Evidence and Knowledge from Computer Simulation
Credulous Modellers and Suspicious Experimentalists? Comparison of Model Output and Data in Meteorological Simulation Modelling
Organizing Simulation Code Collectives
Innovation science
The difference a method makes
Coupling simulation and experiment
Mesoscopic modeling as a cognitive strategy for handling complex biological systems
Connections between simulations and observation in climate computer modeling. Scientist’s practices and “bottom-up epistemology” lessons
Parameterizations as Boundary Objects on the Climate Arena
Stakeholder engagement does not guarantee impact
The Construction of Global Warming and the Politics of Science
Modèles formels pour la reproduction des simulations à base d’agents
A Formal Framework for Computer Simulations
Software Intensive Science
From Coding To Curing. Functions, Implementations, and Correctness in Deep Learning
Simulation and the Problem of Simplification
Hawking radiation and analogue experiments
Understanding and misunderstanding computer simulation
Holism, entrenchment, and the future of climate model pluralism
Cultures of simulations vs. cultures of calculations? The development of simulation practices in meteorology and astrophysics
Situating technological and societal futures. Pragmatist engagements with computer simulations and social dynamics
Not-So-Minimal Models
Opacity thought through
Does matter really matter? Computer simulations, experiments, and materiality
The philosophy of simulation
Computer simulations as experiments
Rigorous results, cross-model justification, and the transfer of empirical warrant
Models of Success Versus the Success of Models
On malfunctioning software
Taming vagueness
About the warrants of computer-based empirical knowledge
Computer simulation through an error-statistical lens
A tale of two methods
Empirical agreement in model validation
Models on the move
Explaining with simulation models
Simulations, Models, and Theories
Simulation and Calibration
Computer Simulation
Building Simulations from the Ground Up
Deflationary Metaphysics and the Natures of Maps
Micro-foundations and Methodology
Modelling Inequality
Approximations
Creating Convincing Simulations in Astrophysics
The Everyday World of Simulation Modeling
Learning through Computer Model Improvisations
Visions of Climate Control
On collegiality
Computer Simulation and the Philosophy of Science
| Obras citantes distintas | 62 |
|---|---|
| Citações por ano | 2,3 |
| Intervalo de citações | 1999 - 2025 (27) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 55 |