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Part of book or chapter of book . 2005 . Peer-reviewed
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Computations in Space and Space in Computations

Authors: Giavitto, Jean-Louis; Michel, Olivier; Cohen, Julien; Spicher, Antoine;

Computations in Space and Space in Computations

Abstract

The emergence of terms like natural computing, mimetic computing, parallel problem solving from nature, bio-inspired computing, neurocomputing, evolutionary computing, etc., shows the never ending interest of the computer scientists for the use of “natural phenomena” as “problem solving devices” or more generally, as a fruitful source of inspiration to develop new programming paradigms. It is the latter topic which interests us here. The idea of numerical experiment can be reversed and, instead of using computers to simulate a fragment of the real world, the idea is to use (a digital simulation of) the real world to compute. In this perspective, the processes that take place in the real world are the objects of a new calculus: description of the world's laws = program state of the world = data of the program parameters of the description = inputs of the program simulation = the computation

Keywords

[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], [SCCO.COMP] Cognitive science/Computer science, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing

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    18
    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Average
Green