Development of the open system for the automation of scientific research in image understanding Black Square, Version 1.2

2006 ◽  
Vol 16 (1) ◽  
pp. 138-140 ◽  
Author(s):  
I. B. Gurevich
2010 ◽  
Vol 8 (1) ◽  
pp. 302-302
Author(s):  
William E. Connolly

My (outlandish) hope in Capitalism and Christianity, American Style is to help push capitalism closer to the center of political theory and political science. On my reading, a capitalist “axiomatic” binds together labor, capital, growth imperatives, and commodities. But these defining elements are also insufficient. A specific capitalist assemblage simultaneously depends upon, affects, and folds to varying degrees into its institutions other relatively autonomous force fields, including climate change, religious intensities, mutating diseases, scientific research, new political movements, novel financial instruments, compensatory hopes poured into investment and consumption, wars, and security anxieties. Such intersections combine with the intrinsic instability of markets to produce the volatility of capitalism. It, too, is an open system in a world of open systems that invade, energize, and threaten it.


1979 ◽  
Vol 22 (8) ◽  
pp. 921-924
Author(s):  
G. L. Bromberg ◽  
�. I. Galynker ◽  
�. �. Zul'fugarzade ◽  
V. A. Nefed'ev

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.


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