-
1 information inequality
Математика: информационное неравенствоУниверсальный англо-русский словарь > information inequality
-
2 information inequality
English-Russian scientific dictionary > information inequality
-
3 inequality
1) неравенство, неравность2) неровность (поверхности); неодинаковость3) матем. неравенство -
4 Inequality
-
5 информационное неравенство
мат. information inequalityБольшой англо-русский и русско-английский словарь > информационное неравенство
-
6 WIIC
1) Медицина: Womens Issues Information Centre2) Американизм: When I'm In Charge3) Биржевой термин: WIDER Income Inequality Database, Walltreet Investors Investment Club4) Фирменный знак: Washington International Insurance Company, Web Ideas International Company, Wood Industries Information Center5) ООН: World Income Inequality Database6) Должность: Women Interested In Cooking7) Правительство: Water Information Integration Committee, Western Isles Island Council8) СМС: Whatever It Is Called -
7 Knowledge
It is indeed an opinion strangely prevailing amongst men, that houses, mountains, rivers, and, in a word, all sensible objects, have an existence, natural or real, distinct from their being perceived by the understanding. But, with how great an assurance and acquiescence soever this principle may be entertained in the world, yet whoever shall find in his heart to call it into question may, if I mistake not, perceive it to involve a manifest contradiction. For, what are the forementioned objects but things we perceive by sense? and what do we perceive besides our own ideas or sensations? and is it not plainly repugnant that any one of these, or any combination of them, should exist unperceived? (Berkeley, 1996, Pt. I, No. 4, p. 25)It seems to me that the only objects of the abstract sciences or of demonstration are quantity and number, and that all attempts to extend this more perfect species of knowledge beyond these bounds are mere sophistry and illusion. As the component parts of quantity and number are entirely similar, their relations become intricate and involved; and nothing can be more curious, as well as useful, than to trace, by a variety of mediums, their equality or inequality, through their different appearances.But as all other ideas are clearly distinct and different from each other, we can never advance farther, by our utmost scrutiny, than to observe this diversity, and, by an obvious reflection, pronounce one thing not to be another. Or if there be any difficulty in these decisions, it proceeds entirely from the undeterminate meaning of words, which is corrected by juster definitions. That the square of the hypotenuse is equal to the squares of the other two sides cannot be known, let the terms be ever so exactly defined, without a train of reasoning and enquiry. But to convince us of this proposition, that where there is no property, there can be no injustice, it is only necessary to define the terms, and explain injustice to be a violation of property. This proposition is, indeed, nothing but a more imperfect definition. It is the same case with all those pretended syllogistical reasonings, which may be found in every other branch of learning, except the sciences of quantity and number; and these may safely, I think, be pronounced the only proper objects of knowledge and demonstration. (Hume, 1975, Sec. 12, Pt. 3, pp. 163-165)Our knowledge springs from two fundamental sources of the mind; the first is the capacity of receiving representations (the ability to receive impressions), the second is the power to know an object through these representations (spontaneity in the production of concepts).Through the first, an object is given to us; through the second, the object is thought in relation to that representation.... Intuition and concepts constitute, therefore, the elements of all our knowledge, so that neither concepts without intuition in some way corresponding to them, nor intuition without concepts, can yield knowledge. Both may be either pure or empirical.... Pure intuitions or pure concepts are possible only a priori; empirical intuitions and empirical concepts only a posteriori. If the receptivity of our mind, its power of receiving representations in so far as it is in any way affected, is to be called "sensibility," then the mind's power of producing representations from itself, the spontaneity of knowledge, should be called "understanding." Our nature is so constituted that our intuitions can never be other than sensible; that is, it contains only the mode in which we are affected by objects. The faculty, on the other hand, which enables us to think the object of sensible intuition is the understanding.... Without sensibility, no object would be given to us; without understanding, no object would be thought. Thoughts without content are empty; intuitions without concepts are blind. It is therefore just as necessary to make our concepts sensible, that is, to add the object to them in intuition, as to make our intuitions intelligible, that is to bring them under concepts. These two powers or capacities cannot exchange their functions. The understanding can intuit nothing, the senses can think nothing. Only through their union can knowledge arise. (Kant, 1933, Sec. 1, Pt. 2, B74-75 [p. 92])Metaphysics, as a natural disposition of Reason is real, but it is also, in itself, dialectical and deceptive.... Hence to attempt to draw our principles from it, and in their employment to follow this natural but none the less fallacious illusion can never produce science, but only an empty dialectical art, in which one school may indeed outdo the other, but none can ever attain a justifiable and lasting success. In order that, as a science, it may lay claim not merely to deceptive persuasion, but to insight and conviction, a Critique of Reason must exhibit in a complete system the whole stock of conceptions a priori, arranged according to their different sources-the Sensibility, the understanding, and the Reason; it must present a complete table of these conceptions, together with their analysis and all that can be deduced from them, but more especially the possibility of synthetic knowledge a priori by means of their deduction, the principles of its use, and finally, its boundaries....This much is certain: he who has once tried criticism will be sickened for ever of all the dogmatic trash he was compelled to content himself with before, because his Reason, requiring something, could find nothing better for its occupation. Criticism stands to the ordinary school metaphysics exactly in the same relation as chemistry to alchemy, or as astron omy to fortune-telling astrology. I guarantee that no one who has comprehended and thought out the conclusions of criticism, even in these Prolegomena, will ever return to the old sophistical pseudo-science. He will rather look forward with a kind of pleasure to a metaphysics, certainly now within his power, which requires no more preparatory discoveries, and which alone can procure for reason permanent satisfaction. (Kant, 1891, pp. 115-116)Knowledge is only real and can only be set forth fully in the form of science, in the form of system. Further, a so-called fundamental proposition or first principle of philosophy, even if it is true, it is yet none the less false, just because and in so far as it is merely a fundamental proposition, merely a first principle. It is for that reason easily refuted. The refutation consists in bringing out its defective character; and it is defective because it is merely the universal, merely a principle, the beginning. If the refutation is complete and thorough, it is derived and developed from the nature of the principle itself, and not accomplished by bringing in from elsewhere other counter-assurances and chance fancies. It would be strictly the development of the principle, and thus the completion of its deficiency, were it not that it misunderstands its own purport by taking account solely of the negative aspect of what it seeks to do, and is not conscious of the positive character of its process and result. The really positive working out of the beginning is at the same time just as much the very reverse: it is a negative attitude towards the principle we start from. Negative, that is to say, in its one-sided form, which consists in being primarily immediate, a mere purpose. It may therefore be regarded as a refutation of what constitutes the basis of the system; but more correctly it should be looked at as a demonstration that the basis or principle of the system is in point of fact merely its beginning. (Hegel, 1910, pp. 21-22)Knowledge, action, and evaluation are essentially connected. The primary and pervasive significance of knowledge lies in its guidance of action: knowing is for the sake of doing. And action, obviously, is rooted in evaluation. For a being which did not assign comparative values, deliberate action would be pointless; and for one which did not know, it would be impossible. Conversely, only an active being could have knowledge, and only such a being could assign values to anything beyond his own feelings. A creature which did not enter into the process of reality to alter in some part the future content of it, could apprehend a world only in the sense of intuitive or esthetic contemplation; and such contemplation would not possess the significance of knowledge but only that of enjoying and suffering. (Lewis, 1946, p. 1)"Evolutionary epistemology" is a branch of scholarship that applies the evolutionary perspective to an understanding of how knowledge develops. Knowledge always involves getting information. The most primitive way of acquiring it is through the sense of touch: amoebas and other simple organisms know what happens around them only if they can feel it with their "skins." The knowledge such an organism can have is strictly about what is in its immediate vicinity. After a huge jump in evolution, organisms learned to find out what was going on at a distance from them, without having to actually feel the environment. This jump involved the development of sense organs for processing information that was farther away. For a long time, the most important sources of knowledge were the nose, the eyes, and the ears. The next big advance occurred when organisms developed memory. Now information no longer needed to be present at all, and the animal could recall events and outcomes that happened in the past. Each one of these steps in the evolution of knowledge added important survival advantages to the species that was equipped to use it.Then, with the appearance in evolution of humans, an entirely new way of acquiring information developed. Up to this point, the processing of information was entirely intrasomatic.... But when speech appeared (and even more powerfully with the invention of writing), information processing became extrasomatic. After that point knowledge did not have to be stored in the genes, or in the memory traces of the brain; it could be passed on from one person to another through words, or it could be written down and stored on a permanent substance like stone, paper, or silicon chips-in any case, outside the fragile and impermanent nervous system. (Csikszentmihalyi, 1993, pp. 56-57)Historical dictionary of quotations in cognitive science > Knowledge
-
8 system
1) система; комплекс2) совокупность•- absolutely consistent system - absolutely direct indecomposable system - absolutely free system - absolutely irreducible system - absolutely isolated system - allowable coordinate system - almost linear system - ample linear system - artificial feel system - automatic block system - automatic deicing system - binary relational system - binary-coded decimal system - block tooling system - Cartesian coordinate system - completely controllable system - completely ergodic system - completely hyperbolic system - completely identifiable system - completely integrable system - completely irreducible system - completely regular system - completely stable system - completely stratified system - complex number system - conical coordinate system - derivational formal system - differential equation system - differential selsyn system - digital counting system - digital transmission system - elliptic coordinate system - elliptic cylindrical coordinate system - externally inconsistent system - finite state system - finitely axiomatizable system - finitely presented system - fully characteristic quotient system - fundamental system of solutions - hydraulic lift system - integrated switching system - isomorphically embedded system - kernel normal system - linearly dependent system - linearly independent system - live hydraulic system - locking protection system - meteor-burst communication system - modular programming system - parabolic cylindrical coordinate system - permanent four-wheel drive system - pure independent system - radio telephone system - reactor protection system - real number system - receiver-amplifier crioelectric system - remote-cylinder hydraulic system - semantically consistent system - simply consistent system - simply incomplete system - simply ordered system - spherical coordinate system - strongly multiplicative system - structurally stable system - sufficiently general coordinate system - system of frequency curves - system of rational numbers - time multiplex system - time-division multiplex system - uniformly complete system - univalent system of notation - universal system of notation - weakly closed system - weighted number system -
9 asymptotic
1) асимптотический
2) асимптотика
3) полусходящийся ∙ arcwise asymptotic value ≈ дуговое асимптотическое значение asymptotic confidence interval ≈ асимптотический доверительный интервал asymptotic equipartition property ≈ свойство асимптотической равнораспределенности asymptotic essential component ≈ асимптотическая существенная компонента asymptotic expansion formula ≈ формула асимптотического разложения ( функции) asymptotic passage theorem ≈ теорема об асимптотическом поведении переходных вероятностей asymptotic power series expansion ≈ разложение в асимптотический степенной ряд asymptotic sequential design ≈ асимптотический последовательный план basic asymptotic estimate ≈ основная асимптотическая оценка central asymptotic problem ≈ центральная асимптотическая проблема doubly asymptotic triangle ≈ дважды асимптотический треугольник first asymptotic distribution ≈ первое предельное распределение multiply asymptotic series ≈ многократно асимптотический ряд negatively asymptotic point ≈ отрицательно асимптотическая точка pointwise asymptotic value ≈ точечное асимптотическое значение positively asymptotic point ≈ положительно асимптотическая точка simple asymptotic sieve ≈ простое асимптотическое решето trebly asymptotic triangle ≈ трижды асимптотический треугольник uniform asymptotic representation ≈ равномерное асимптотическое представление virtually asymptotic net ≈ виртуально асимптотическая сеть - asymptotic expression - asymptotic fairness - asymptotic fibration - asymptotic field - asymptotic flatness - asymptotic form - asymptotic formula - asymptotic frequency - asymptotic function - asymptotic geodesic - asymptotic growth - asymptotic helicity - asymptotic hexagon - asymptotic hyperplane - asymptotic inadmissibility - asymptotic independence - asymptotic inequality - asymptotic information - asymptotic integration - asymptotic interpolation - asymptotic invariance - asymptotic iteration - asymptotic law - asymptotic learning - asymptotic likelihood - asymptotic limit - asymptotic line - asymptotic linearity - asymptotic mean - asymptotic method - asymptotic mimimum - asymptotic minimax - asymptotic model - asymptotic moment - asymptotic nature - asymptotic negligibility - asymptotic net - asymptotic normalcy - asymptotic normality - asymptotic operator - asymptotic optimality - asymptotic optimum - asymptotic order - asymptotic parabola - asymptotic parallel - asymptotic path - asymptotic period - asymptotic phase - asymptotic plane - asymptotic point - asymptotic power - asymptotic prediction - asymptotic prime - asymptotic probability - asymptotic problem - asymptotic property - asymptotic proportionality - asymptotic ratio - asymptotic recurrence - asymptotic region - asymptotic relation - asymptotic representation - asymptotic resolvent - asymptotic restriction - asymptotic result - asymptotic root - asymptotic scaling - asymptotic semiform - asymptotic sequence - asymptotic series - asymptotic set - asymptotic shape - asymptotic sieve - asymptotic simplicity - asymptotic slope - asymptotic smallness - asymptotic solution - asymptotic spot - asymptotic stability - asymptotic state - asymptotic sufficiency - asymptotic sum - asymptotic surface - asymptotic symbol - asymptotic symmetry - asymptotic technique - asymptotic test - asymptotic theor - asymptotic theorem - asymptotic tract - asymptotic trajectory - asymptotic transformation - asymptotic triangle - asymptotic twistor - asymptotic unbiasedness - asymptotic value - asymptotic variable - asymptotic variance - asymptotic vector - isothermally asymptoticасимптотическийasymptotic асимптотическийБольшой англо-русский и русско-английский словарь > asymptotic
-
10 economics
сущ.1) эк. экономика, экономическая теория, экономическая наука (классическое определение: наука о хозяйстве, т. е. о том, как осуществляется производство, распределение, обмен и потребление; неоклассическое определение: анализ того, как люди используют ограниченные ресурсы для удовлетворения своих неограниченных потребностей)Syn:See:applied economics, Austrian economics, basic economics, bioeconomics, bourgeois economics, business economics, classical economics, descriptive economics, disequilibrium economics, dynamic economics, evolutionary economics, experimental economics, heterodox economics, institutional economics, Keynesian economics, Marxian economics, mathematical economics, Neo-Austrian economics, Neo-Ricardian economics, Neo-Walrasian economics, neoclassical economics, normative economics, orthodox economics, positive economics, psychological economics, pure economics, rational economics, socio-economics, statistical economics, steady-state economics, structuralist economics, supply-side economics, transaction cost economics, political economy, economic sociology, economic psychology2) эк. экономика (часть названия дисциплины, в которой изучается конкретная отрасль хозяйства или некоторый круг проблем)See:agricultural economics, construction economics, consumer economics, comparative economics, cultural economics, development economics, economics of conventions, economics of discrimination, economics of inequality, economics of information, economics of law, engineering economics, environmental economics, financial economics, gender economics, global economics, grants economics, home economics, industrial economics, international economics, manufacturing economics, labour economics, land economics, monetary economics, national economics, personnel economics, policy economics, public economics, range economics, social economics, spatial economics, transitional economics, urban economics, welfare economics3) эк. экономический анализ (как часть названия книги или статьи, в которой осуществляется экономический анализ какой-л. проблемы)
* * *
экономика: наука об экономике, включая производство, отношения обмена, потребления и распределения; исследования экономических процессов; классическая экономика концентрировалась на вопросах распределения продуктов и ресурсов под влиянием сил спроса и предложения; различают макроэкономику, т. е. изучение всей экономики страны или мира в целом, и микроэкономику, которая занимается проблемами секторов экономики, отраслей, предприятий; см. Keynesian economics;* * *. . Словарь экономических терминов .* * *научная дисциплина, занимающаяся изучением секторов (промышленность, сельское хозяйство, и т. д.) и отраслей (машиностроение, образование и т. д.) народного хозяйства, а также некоторых условий и элементов производства (народонаселение, труд, управление и т. д.)
См. также в других словарях:
Information Age — A visualization of the various routes through a portion of the Internet. The Information Age, also commonly known as the Computer Age or Digital Age, is an idea that the current age will be characterized by the ability of individuals to transfer… … Wikipedia
Inequality in disease — The social inequality of the United States is deep rooted and widespread, even extending into a person’s health, and more specifically their likelihood of developing a disease. Biological factors or inheritable characteristics cannot explain the… … Wikipedia
Information theory — Not to be confused with Information science. Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Information theory was developed by Claude E. Shannon to find fundamental… … Wikipedia
Information theory and measure theory — Measures in information theory = Many of the formulas in information theory have separate versions for continuous and discrete cases, i.e. integrals for the continuous case and sums for the discrete case. These versions can often be generalized… … Wikipedia
Income inequality metrics — The concept of inequality is distinct from that of poverty[1] and fairness. Income inequality metrics or income distribution metrics are used by social scientists to measure the distribution of income, and economic inequality among the… … Wikipedia
Inequalities in information theory — Inequalities are very important in the study of information theory. There are a number of different contexts in which these inequalities appear.hannon type inequalitiesConsider a finite collection of finitely (or at most countably) supported… … Wikipedia
Kraft's inequality — In coding theory, Kraft s inequality, named after Leon Kraft, gives a necessary and sufficient condition for the existence of a uniquely decodable code for a given set of codeword lengths. Its applications to prefix codes and trees often find use … Wikipedia
Economic inequality — refers to disparities in the distribution of economic assets and income. The term typically refers to inequality among individuals and groups within a society, but can also refer to inequality among nations. Economic Inequality generally refers… … Wikipedia
Gibbs' inequality — In information theory, Gibbs inequality is a statement about the mathematical entropy of a discrete probability distribution. Several other bounds on the entropy of probability distributions are derived from Gibbs inequality, including Fano s… … Wikipedia
Chebyshev's inequality — For the similarly named inequality involving series, see Chebyshev s sum inequality. In probability theory, Chebyshev’s inequality (also spelled as Tchebysheff’s inequality) guarantees that in any data sample or probability distribution, nearly… … Wikipedia
Fisher information — In statistics and information theory, the Fisher information (denoted mathcal{I}( heta)) is the variance of the score. It is named in honor of its inventor, the statistician R.A. Fisher.DefinitionThe Fisher information is a way of measuring the… … Wikipedia