Philosophy Dictionary of ArgumentsHome
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| Simulation, philosophy: a simulation is the establishment of a correspondence to a process, a procedure or a situation with means which are different from those involved in the original process or the original situation. The simulation itself is either the subject of an investigation, or it serves the purpose of creating an illusion for exercise or entertainment purposes. See also copy, reproduction, reality, similarity, forgery, figure, process, situation, models._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
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John D. Barrow on Simulation - Dictionary of Arguments
I 88 Simulation/Barrow: In order to find out whether a mathematical construction has certain properties, you create a virtual world, a simulation of its own logic, which you then observe and explore to find the properties you are looking for. >Properties, >Mathematics, >Logic, >Observation, >Systems._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
B I John D. Barrow Warum die Welt mathematisch ist Frankfurt/M. 1996 B II John D. Barrow The World Within the World, Oxford/New York 1988 German Edition: Die Natur der Natur: Wissen an den Grenzen von Raum und Zeit Heidelberg 1993 B III John D. Barrow Impossibility. The Limits of Science and the Science of Limits, Oxford/New York 1998 German Edition: Die Entdeckung des Unmöglichen. Forschung an den Grenzen des Wissens Heidelberg 2001 |
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> Counter arguments against Barrow
> Counter arguments in relation to Simulation
Ed. Martin Schulz, access date 2024-04-28