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2 network
1) сетьа) локальная, региональная или глобальная вычислительная сетьб) коммуникационная сеть; сеть связи (напр. телефонная)в) сеть вещательных станций (напр. телевизионных)д) замкнутая совокупность функционально однотипных организаций или предприятийе) способ представления знаний в виде связного орграфа в системе искусственного интеллектаж) сетка2) работать в сети; обмениваться информацией с помощью сети; использовать сеть или сети3) создавать сеть или сети; покрывать сетью (напр. вещательных станций) определённую территорию4) плести сеть или сетку; применять сеть или сетку; образовывать сеть или сетку5) схема; цепь; контур•- networks of limited equivalence
- network of microcomputer
- abstract semantic network
- active network
- activity network
- adaptive network
- adaptive resonance theory network
- additive Grossberg network - aperiodic network
- ART network
- artificial mains network - asynchronous neural network - back propagation network
- back-up radio network
- balanced network
- balanced Feistel network
- balancing network
- BAM network
- banner network
- baseband network
- basic network
- Bayes network
- beam-forming network - biconjugate network
- bidirectional associative memory network
- bilateral network
- biological neural network
- Boltzman machine neural network
- Boolean network
- brain-state-in-a-box network
- bridge network
- bridged-T network - bus network
- butterfly network
- C-network
- cellular neural network
- cellular radio network
- channel-switching network
- chaotic neural network - circuit-switching network
- class A-network
- class B-network
- class C-network
- client-server network
- closed private network - common-user network
- communications network
- company network
- compromise network
- computer network - connected network
- connectionist network
- connectionless network
- connection-oriented network
- constant-K network
- constant-M network
- continuous Hopfield network
- corrective network
- countable network - coupling network
- crossover network
- customer-access network
- data network
- data transmission network
- decoding network
- decoupling network
- dedicated network
- deemphasis network
- deep-space network
- delta network
- demand-assigned network
- dial-up network
- difference network
- differentiated network
- differentiating network
- digipeater network
- digital communication network
- digital satellite network
- digital switching network - discrete Hopfield network
- dislocation network
- dissymmetrical network
- distributed network
- distributed operating multi-access interactive-network
- distributed parameter network
- dividing network
- Doba's network
- dual network
- edge-dislocation network
- eight-pole network
- eight-terminal network
- electric network - equivalent networks - extensional semantic network
- extensive network - feedback network
- feedforward network
- Feistel network - fixer network
- four-pole network
- four-terminal network
- fractal network
- frequency-dependent negative-resistance network
- fully connected network
- fully connected neural network
- full mesh network
- full meshed network
- fuzzy neural network
- generalized additive network - ground-station network - Hamiltonian neural network
- Hamming's neural network
- Hebb network
- Hecht-Nielsen network
- Hecht-Nielsen neural network
- heterogeneous network
- heterogeneous neural network
- high-capacity network - higher-order neural network
- homogeneous network
- homogeneous neural network
- Hopfield's neural network
- Hopfield-Tank network
- Hopfield-Tank neural network
- hybrid network
- inductance network
- inductance-capacitance network
- inductance-resistance network
- industrial district network
- information network
- in-office network of links - Internet relay chat network
- inter-organizational network
- interstage network
- inverse networks
- IRC network
- irredundant network
- isolation network
- L-network
- ladder network - lattice network
- lead network
- leased-line network
- linear network - load-matching network - long-distance network
- long-haul network
- loop network
- loudspeaker dividing network
- lumped network
- lumped-constant network
- lumped-distributed network
- Kohonen network
- Kohonen self-organizing network
- Kosko network
- Kosko neural network
- learning vector quantization network
- LVQ network
- Markovian network
- matching network
- McCulloch-Pitts network
- merging network
- mesh network
- meshed network
- message-switched network
- metropolitan area network
- mid-level network
- minimum-phase network
- MPLS network
- multiaccess network
- multi-attractor network
- multidimensional network
- multidrop network
- multifractal network
- multiinput-multioutput network
- multilayer neuron network
- multiple-access network
- multiply-connected network
- multipoint network
- multiport network
- multiprotocol label switching network - multistage switching network
- multistar network
- multistation network
- multisystem network
- multiterminal network
- multiterminal-pair network
- municipal area network - neural network with local connections
- neural-like network
- nodal network
- nonlinear network
- nonplanar network
- nonreciprocal network
- nonuniformly distributed network
- notch network
- n-pole network
- n-port network
- n-terminal network
- n-terminal pair network
- O-network
- one-port network
- optical network
- optical fiber network
- optical neural network
- originating switching network
- packet commutation network - packet satellite network
- packet switch network
- packet switching network
- paging network
- parallel network
- parallel-T network
- parallel two-terminal pair networks
- partial mesh network
- partial meshed network
- passive network
- peaking network
- peer-to-peer network
- perceptron-type network
- percolation network
- personal communication network
- phase-advance network
- phase-shifting network
- phase-splitting network
- phasing network
- pi-network
- piece-linear network
- pilot wire controlled network
- planar network
- polarization matching network
- power distribution network
- preassigned network
- preemphasis network
- private network
- private-line intercity network - quadrupole network - radar network
- radio network
- radio access network
- radio intercom network
- radio-relay network
- rearrangeable network
- reciprocal network
- recognition network
- recurrent neural network
- regression neural network
- repeater network
- replicative neural network
- research network
- resistance-capacitance network
- resistive network
- resource-sharing computer-communication-network
- ring-switched computer network
- routing network
- satellite-earth stations network - second-order network
- selective network
- semantic network
- semiconductor network
- series network
- series-peaking network
- series-shunt network
- series-shunt peaking network
- shaping network
- short-haul network
- shuffle network
- shunt network
- shunt-peaking network
- signal-shaping network
- single-layer neural network
- singly terminated network - sorting network
- speaker dividing network
- stabilization network
- star network
- statistical Hopfield's network
- statistical Hopfield's neural network
- steering network - strategic network
- structurally dual networks
- structurally symmetrical networks
- stub network
- summation network
- summing network
- support network
- switched network
- switched message network
- switched telecommunications network
- switching network
- synchronous network
- synchronous neural network - T-network
- tapered distribution network
- technologies support network
- telecommunication network - terminating switching network - token bus network
- Token Ring network
- token ring network
- transit network
- transmission network
- transputer network
- tree network - trusted network
- twin-T network
- two-pole network
- two-port network
- two-terminal network
- two-terminal-pair network
- unbalanced Feistel network
- undersea network
- uniformly distributed network
- unilateral network
- universal network
- untrained neural network - world-wide communication network
- WS network
- X-network
- Y-network
- π-network -
3 network
1) сетьа) локальная, региональная или глобальная вычислительная сетьб) коммуникационная сеть; сеть связи (напр. телефонная)в) сеть вещательных станций (напр. телевизионных)д) замкнутая совокупность функционально однотипных организаций или предприятийе) способ представления знаний в виде связного орграфа в системе искусственного интеллектаж) сетка2) работать в сети; обмениваться информацией с помощью сети; использовать сеть или сети3) создавать сеть или сети; покрывать сетью (напр. вещательных станций) определённую территорию4) плести сеть или сетку; применять сеть или сетку; образовывать сеть или сетку5) схема; цепь; контур•- abstract semantic network
- active network
- activity network
- adaptive network
- adaptive resonance theory network
- additive Grossberg network
- advanced intelligent network
- advertiser network
- aeronautical fixed telecommunications network
- all-pass network
- aperiodic network
- ART network
- artificial mains network
- artificial neural network
- asynchronous network
- asynchronous neural network
- attached resource computer network
- attenuation network
- automatic digital network
- automatic voice network
- back propagation network
- backbone network
- back-up radio network
- balanced Feistel network
- balanced network
- balancing network
- BAM network
- banner network
- baseband network
- basic network
- Bayes network
- beam-forming network
- because it's time network
- Benetton network
- biconjugate network
- bidirectional associative memory network
- bilateral network
- biological neural network
- Boltzman machine neural network
- Boolean network
- brain-state-in-a-box network
- bridge network
- bridged-T network
- broadband communication network
- broadband integrated services digital network
- building-out network
- bus network
- butterfly network
- C network
- cellular neural network
- cellular radio network
- channel-switching network
- chaotic neural network
- charge-routing network
- circuit-switched data network
- circuit-switched public data network
- circuit-switching network
- class A network
- class B network
- class C network
- client-server network
- closed private network
- combinatorial network
- commercial network
- common-user network
- communications network
- company network
- compromise network
- computer + science network
- computer network
- concatenated network
- conferencing network
- connected network
- connectionist network
- connectionless network
- connection-oriented network
- constant-K network
- constant-M network
- continuous Hopfield network
- corrective network
- countable network
- counterpropagation network
- coupled-line network
- coupling network
- crossover network
- customer-access network
- data network
- data transmission network
- decoding network
- decoupling network
- dedicated network
- deemphasis network
- deep-space network
- delta network
- demand-assigned network
- dial-up network
- difference network
- differentiated network
- differentiating network
- digipeater network
- digital communication network
- digital satellite network
- digital switching network
- digital time-division network
- directed network
- discrete Hopfield network
- dislocation network
- dissymmetrical network
- distributed network
- distributed operating multi-access interactive network
- distributed parameter network
- dividing network
- Doba's network
- dual network
- edge-dislocation network
- eight-pole network
- eight-terminal network
- electric network
- electronic space-division analog network
- elementary digital network
- equalizing network
- equivalent networks
- European academic and research network
- European Unix network
- exponential network
- extensional semantic network
- extensive network
- fast neural network
- FDNR network
- feedback network
- feedforward network
- Feistel network
- FIDO technology network
- firm network
- fixer network
- four-pole network
- four-terminal network
- fractal network
- frequency-dependent negative-resistance network
- full mesh network
- full meshed network
- fully connected network
- fully connected neural network
- fuzzy neural network
- general regression neural network
- generalized additive network
- global area network
- ground-station network
- ground-wave emergency network
- H network
- Hamiltonian neural network
- Hamming's neural network
- Hebb network
- Hecht-Nielsen network
- Hecht-Nielsen neural network
- heterogeneous network
- heterogeneous neural network
- high energy physics network
- high-capacity network
- higher-order network
- higher-order neural network
- homogeneous network
- homogeneous neural network
- Hopfield's neural network
- Hopfield-Tank network
- Hopfield-Tank neural network
- hybrid network
- inductance network
- inductance-capacitance network
- inductance-resistance network
- industrial district network
- information network
- in-office network of links
- integrated broadband communication network
- integrated business network
- integrated digital network
- integrated enterprise network
- integrated services digital network
- integrating network
- intelligent network
- intelligent optical network
- intercom network
- Internet relay chat network
- inter-organizational network
- interstage network
- inverse networks
- IRC network
- irredundant network
- isolation network
- Kohonen network
- Kohonen self-organizing network
- Kosko network
- Kosko neural network
- L network
- ladder network
- LAN outer network
- land network
- lattice network
- lead network
- learning vector quantization network
- leased-line network
- linear integrated network
- linear network
- linear varying parameter network
- load-matching network
- local area network
- local computer network
- long-distance network
- long-haul network
- loop network
- loudspeaker dividing network
- lumped network
- lumped-constant network
- lumped-distributed network
- LVQ network
- Markovian network
- matching network
- McCulloch-Pitts network
- merging network
- mesh network
- meshed network
- message-switched network
- metropolitan area network
- mid-level network
- minimum-phase network
- MPLS network
- multiaccess network
- multi-attractor network
- multidimensional network
- multidrop network
- multifractal network
- multiinput-multioutput network
- multilayer neuron network
- multiple-access network
- multiply-connected network
- multipoint network
- multiport network
- multiprotocol label switching network
- multiprotocol transport network
- multiservice network
- multistage switching network
- multistar network
- multistation network
- multisystem network
- multiterminal network
- multiterminal-pair network
- municipal area network
- national information network
- network of microcomputer
- networks of limited equivalence
- networks ot general equivalence
- neural network with local connections
- neural network
- neural-like network
- nodal network
- nonlinear network
- nonplanar network
- nonreciprocal network
- nonuniformly distributed network
- notch network
- n-pole network
- n-port network
- n-terminal network
- n-terminal pair network
- one-port network
- O-network
- optical fiber network
- optical network
- optical neural network
- originating switching network
- packet commutation network
- packet data network
- packet radio network
- packet satellite network
- packet switch network
- packet switching network
- paging network
- parallel network
- parallel two-terminal pair networks
- parallel-T network
- partial mesh network
- partial meshed network
- passive network
- peaking network
- peer-to-peer network
- perceptron-type network
- percolation network
- personal communication network
- phase-advance network
- phase-shifting network
- phase-splitting network
- phasing network
- piece-linear network
- pilot wire controlled network
- pi-network
- planar network
- polarization matching network
- power distribution network
- preassigned network
- preemphasis network
- private network
- private-line intercity network
- probabilistic neural network
- projection pursuit network
- public data network
- public land mobile network
- public switched network
- public switched telephone network
- public telegraph network
- public telephone network
- pulse-forming network
- quadripole network
- quadrupole network
- quantum neural network
- queuing network
- radar network
- radio access network
- radio intercom network
- radio network
- radio-relay network
- rearrangeable network
- reciprocal network
- recognition network
- recurrent neural network
- regression neural network
- repeater network
- replicative neural network
- research network
- resistance-capacitance network
- resistive network
- resource-sharing computer-communication network
- ring-switched computer network
- routing network
- satellite tracking and data acquisition network
- satellite-earth stations network
- screw-dislocation network
- second-order network
- selective network
- semantic network
- semiconductor network
- series network
- series-peaking network
- series-shunt network
- series-shunt peaking network
- shaping network
- short-haul network
- shuffle network
- shunt network
- shunt-peaking network
- signal-shaping network
- single-layer neural network
- singly terminated network
- small business network
- social network
- software defined network
- solid-state network
- sorting network
- speaker dividing network
- stabilization network
- star network
- statistical Hopfield's network
- statistical Hopfield's neural network
- steering network
- storage area network
- store-and-forward network
- strategic network
- structurally dual networks
- structurally symmetrical networks
- stub network
- summation network
- summing network
- support network
- switched message network
- switched network
- switched telecommunications network
- switching network
- synchronous network
- synchronous neural network
- synchronous optical network
- systolic network
- tapered distribution network
- technologies support network
- telecommunication network
- telecommunications management network
- teletype network
- terminating switching network
- time delay neural network
- time-division analog network
- time-invariant network
- T-network
- token bus network
- Token Ring network
- token ring network
- transit network
- transmission network
- transputer network
- tree network
- trimming resistive network
- trunk network
- trusted network
- twin-T network
- two-pole network
- two-port network
- two-terminal network
- two-terminal-pair network
- unbalanced Feistel network
- undersea network
- uniformly distributed network
- unilateral network
- universal network
- untrained neural network
- user network
- value-added network
- virtual private network
- weighting network
- wide area network
- wireless intelligent network
- wireless local area network
- wireless wide area network
- work station network
- world-wide communication network
- WS network
- X-network
- Y-networkThe New English-Russian Dictionary of Radio-electronics > network
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4 Grammar
I think that the failure to offer a precise account of the notion "grammar" is not just a superficial defect in linguistic theory that can be remedied by adding one more definition. It seems to me that until this notion is clarified, no part of linguistic theory can achieve anything like a satisfactory development.... I have been discussing a grammar of a particular language here as analogous to a particular scientific theory, dealing with its subject matter (the set of sentences of this language) much as embryology or physics deals with its subject matter. (Chomsky, 1964, p. 213)Obviously, every speaker of a language has mastered and internalized a generative grammar that expresses his knowledge of his language. This is not to say that he is aware of the rules of grammar or even that he can become aware of them, or that his statements about his intuitive knowledge of his language are necessarily accurate. (Chomsky, 1965, p. 8)Much effort has been devoted to showing that the class of possible transformations can be substantially reduced without loss of descriptive power through the discovery of quite general conditions that all such rules and the representations they operate on and form must meet.... [The] transformational rules, at least for a substantial core grammar, can be reduced to the single rule, "Move alpha" (that is, "move any category anywhere"). (Mehler, Walker & Garrett, 1982, p. 21)4) The Relationship of Transformational Grammar to Semantics and to Human Performancehe implications of assuming a semantic memory for what we might call "generative psycholinguistics" are: that dichotomous judgments of semantic well-formedness versus anomaly are not essential or inherent to language performance; that the transformational component of a grammar is the part most relevant to performance models; that a generative grammar's role should be viewed as restricted to language production, whereas sentence understanding should be treated as a problem of extracting a cognitive representation of a text's message; that until some theoretical notion of cognitive representation is incorporated into linguistic conceptions, they are unlikely to provide either powerful language-processing programs or psychologically relevant theories.Although these implications conflict with the way others have viewed the relationship of transformational grammars to semantics and to human performance, they do not eliminate the importance of such grammars to psychologists, an importance stressed in, and indeed largely created by, the work of Chomsky. It is precisely because of a growing interdependence between such linguistic theory and psychological performance models that their relationship needs to be clarified. (Quillian, 1968, p. 260)here are some terminological distinctions that are crucial to explain, or else confusions can easily arise. In the formal study of grammar, a language is defined as a set of sentences, possibly infinite, where each sentence is a string of symbols or words. One can think of each sentence as having several representations linked together: one for its sound pattern, one for its meaning, one for the string of words constituting it, possibly others for other data structures such as the "surface structure" and "deep structure" that are held to mediate the mapping between sound and meaning. Because no finite system can store an infinite number of sentences, and because humans in particular are clearly not pullstring dolls that emit sentences from a finite stored list, one must explain human language abilities by imputing to them a grammar, which in the technical sense is a finite rule system, or programme, or circuit design, capable of generating and recognizing the sentences of a particular language. This "mental grammar" or "psychogrammar" is the neural system that allows us to speak and understand the possible word sequences of our native tongue. A grammar for a specific language is obviously acquired by a human during childhood, but there must be neural circuitry that actually carries out the acquisition process in the child, and this circuitry may be called the language faculty or language acquisition device. An important part of the language faculty is universal grammar, an implementation of a set of principles or constraints that govern the possible form of any human grammar. (Pinker, 1996, p. 263)A grammar of language L is essentially a theory of L. Any scientific theory is based on a finite number of observations, and it seeks to relate the observed phenomena and to predict new phenomena by constructing general laws in terms of hypothetical constructs.... Similarly a grammar of English is based on a finite corpus of utterances (observations), and it will contain certain grammatical rules (laws) stated in terms of the particular phonemes, phrases, etc., of English (hypothetical constructs). These rules express structural relations among the sentences of the corpus and the infinite number of sentences generated by the grammar beyond the corpus (predictions). (Chomsky, 1957, p. 49)Historical dictionary of quotations in cognitive science > Grammar
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5 NSC
1) Американизм: National Security Caucus, National Security Community2) Спорт: National Ski Council3) Военный термин: NATO Science Committee, NATO Security Committee, NATO Steering Committee, NATO Subordinate Command, NATO Supply Center, NATO supply classification, National Security Council, National Simulations Center, Naval Space Command, Naval Supply Center, Naval Supply Corps, Navy Service Center, СНБ, Совет национальной безопасности4) Техника: Nuclear Safety Convention, necessary and sufficient conditions, net-section collapse, noise suppression circuit, nuclear safety concern5) Математика: необходимое и достаточное условие (necessary and sufficient condition)6) Юридический термин: КНБ (Kazakhstan), комитет национальной безопасности7) Автомобильный термин: National Sales Companies8) Телекоммуникации: Network Service Center9) Сокращение: NATO Supply Centre, National (US) Security Council, National Savings Committee, National Space Council, Network Distribution Center (USPS redesigned BMC 2009), Network Security Centre10) Университет: Ntid Student Congress11) Физиология: No Significant Change, Non Structural Carbohydrate, Normal State Of Consciousness12) Вычислительная техника: National SemiConductor (Hersteller), National (US) Security Council (US Government)13) Нефть: necessary and sufficient condition14) Биотехнология: neural stem cells15) Транспорт: National Safety Council16) Атомная энергия: (New Safe Confinement) НБК (Новый безопасный конфайнмент) (ЧАЭС)17) Фирменный знак: National Silver Company, North State Communications18) Деловая лексика: National Securities Commission, Nouvelle Systeme de Cotation19) Глоссарий компании Сахалин Энерджи: Nippon Steel Corporation, Norvegian continental shelf20) Образование: No Student Contact21) Сетевые технологии: Network Security Center, Network Systems Corporation, network switching center, Центр по защите сетей, коммутационный центр сети22) Океанография: National Science Council23) Военно-морской флот: перспективный надводный боевой корабль (new surface combatant)24) Электротехника: шкаф со стороны нейтрали, neutral side cabinet, neutral-side cabinet25) НАТО: Комитет НАТО по вопросам безопасности26) NYSE. Norfolk Southern Corporation -
6 Brain
Among the higher mammals the great development of neocortex occurs.In each group of mammals there is a steady increase in the area of the association cortex from the most primitive to the evolutionarily most recent type; there is an increase in the number of neurons and their connections. The degree of consciousness of an organism is some function of neuronal cell number and connectivity, perhaps of neurons of a particular type in association cortex regions. This function is of a threshold type such that there is a significant quantitative break with the emergence of humans. Although the importance of language and the argument that it is genetically specified and unique to humans must be reconsidered in the light of the recent evidence as to the possibility of teaching chimpanzees, if not to speak, then to manipulate symbolic words and phrases, there are a number of unique human features which combine to make the transition not merely quantitative, but also qualitative. In particular these include the social, productive nature of human existence, and the range and extent of the human capacity to communicate. These features have made human history not so much one of biological but of social evolution, of continuous cultural transformation. (Rose, 1976, pp. 180-181)[S]ome particular property of higher primate and cetacean brains did not evolve until recently. But what was that property? I can suggest at least four possibilities...: (1) Never before was there a brain so massive; (2) Never before was there a brain with so large a ratio of brain to body mass; (3) Never before was there a brain with certain functional units (large frontal and temporal lobes, for example); (4) Never before was there a brain with so many neural connections or synapses.... Explanations 1, 2 and 4 argue that a quantitative change produced a qualitative change. It does not seem to me that a crisp choice among these four alternatives can be made at the present time, and I suspect that the truth will actually embrace most or all of these possibilities. (Sagan, 1978, pp. 107-109)The crucial change in the human brain in this million years or so has not been so much the increase in size by a factor of three, but the concentration of that increase in three or four main areas. The visual area has increased considerably, and, compared with the chimpanzee, the actual density of human brain cells is at least 50 percent greater. A second increase has taken place in the area of manipulation of the hand, which is natural since we are much more hand-driven animals than monkeys and apes. Another main increase has taken place in the temporal lobe, in which visual memory, integration, and speech all lie fairly close together. And the fourth great increase has taken place in the frontal lobes. Their function is extremely difficult to understand... ; but it is clear that they're largely responsible for the ability to initiate a task, to be attentive while it is being done, and to persevere with it. (Bronowski, 1978, pp. 23-24)The human brain works however it works. Wishing for it to work in some way as a shortcut to justifying some ethical principle undermines both the science and the ethics (for what happens to the principle if the scientific facts turn out to go the other way?). (Pinker, 1994, p. 427)Historical dictionary of quotations in cognitive science > Brain
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7 Mind-body Problem
From this I knew that I was a substance the whole essence or nature of which is to think, and that for its existence there is no need of any place, nor does it depend on any material thing; so that this "me," that is to say, the soul by which I am what I am, is entirely distinct from body, and is even more easy to know than is the latter; and even if body were not, the soul would not cease to be what it is. (Descartes, 1970a, p. 101)still remains to be explained how that union and apparent intermingling [of mind and body]... can be found in you, if you are incorporeal, unextended and indivisible.... How, at least, can you be united with the brain, or some minute part in it, which (as has been said) must yet have some magnitude or extension, however small it be? If you are wholly without parts how can you mix or appear to mix with its minute subdivisions? For there is no mixture unless each of the things to be mixed has parts that can mix with one another. (Gassendi, 1970, p. 201)here are... certain things which we experience in ourselves and which should be attributed neither to the mind nor body alone, but to the close and intimate union that exists between the body and the mind.... Such are the appetites of hunger, thirst, etc., and also the emotions or passions of the mind which do not subsist in mind or thought alone... and finally all the sensations. (Descartes, 1970b, p. 238)With any other sort of mind, absolute Intelligence, Mind unattached to a particular body, or Mind not subject to the course of time, the psychologist as such has nothing to do. (James, 1890, p. 183)[The] intention is to furnish a psychology that shall be a natural science: that is to represent psychical processes as quantitatively determinate states of specifiable material particles, thus making these processes perspicuous and free from contradiction. (Freud, 1966, p. 295)The thesis is that the mental is nomologically irreducible: there may be true general statements relating the mental and the physical, statements that have the logical form of a law; but they are not lawlike (in a strong sense to be described). If by absurdly remote chance we were to stumble on a non-stochastic true psychophysical generalization, we would have no reason to believe it more than roughly true. (Davidson, 1970, p. 90)We can divide those who uphold the doctrine that men are machines, or a similar doctrine, into two categories: those who deny the existence of mental events, or personal experiences, or of consciousness;... and those who admit the existence of mental events, but assert that they are "epiphenomena"-that everything can be explained without them, since the material world is causally closed. (Popper & Eccles, 1977, p. 5)Mind affects brain and brain affects mind. That is the message, and by accepting it you commit yourself to a special view of the world. It is a view that shows the limits of the genetic imperative on what we turn out to be, both intellectually and emotionally. It decrees that, while the secrets of our genes express themselves with force throughout our lives, the effect of that information on our bodies can be influenced by our psychological history and beliefs about the world. And, just as important, the other side of the same coin argues that what we construct in our minds as objective reality may simply be our interpretations of certain bodily states dictated by our genes and expressed through our physical brains and body. Put differently, various attributes of mind that seem to have a purely psychological origin are frequently a product of the brain's interpreter rationalizing genetically driven body states. Make no mistake about it: this two-sided view of mind-brain interactions, if adopted, has implications for the management of one's personal life. (Gazzaniga, 1988, p. 229)Historical dictionary of quotations in cognitive science > Mind-body Problem
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8 computer
[këm'pju:të:] n 1. makinë llogaritëse; kompjuter, ordinator. 2. llogaritës, njehsues (person)- Kompjuteri është pajisje elektronike shumë e ndërlikuar që shërben për regjistrimin, transmetimin dhe përpunimin e informatave që mund të manifestohen si llogaritje, udhëheqje të proceseve, përpunim i tekstit, të dhënave të ndryshme si dhe për përdorime më të përgjithëshme. Kompjuteri, marrë në kuptimin e gjerë, përbëhet prej dy komponentëve të quajtura: harduer ( hardware - pjesë fizike e tij) dhe softuer ( software - programet dhe udhëzimet për punë). Me fjalë tjera, softueri është pjesa programore e hardueri pjesa mekanika e kompjuterit.● Hardueri përmban komponentet fizike të kompjuterit siç janë: tastiera ( Keyboard), monitori, shtypësi ( Printer), miu ( Mouse), disku i ngurtë ( Hard Disk), njësia e diskut, disketa ( Floppy Disk), njësia e disketës, CD-ROM-i ( CD ROM), njësia e CD-ROM-it, vizatuesi, modemi, lexuesi ( Scanner), kamera digjitale etj.● Softueri përmbanë programet dhe të dhënat të cilat e udhëzojnë kompjuterin në punën e tij, literatura, dokumentacioni dhe udhëzimet në lidhje me kompjuterin. Hardueri mund të krahasohet me gramafonin e disqet, ndërsa softueri me muzikën e inçizuar në disqe.)Zhvillimi historik i kompjuterit- Njeriu gjithmon ka tentuar të zgjidhë edhe problemet monotone, të vështira dhe të papërshtatshme. Gjatë zgjidhjeve të këtyre problemeve ka hasur në punë të vështira fizike, prandaj, çdo here ka tentuar që të liroj veten nga këta punë duke menduar makina të lloj-llojshme. Një makinë e këtyllë për lehtësimin e llogaritjeve aritmetike është makina e quajtur Abacus për të cilën dihet se është në përdorim prej para 5000 vjetëve. Kjo makinë i ngjanë numratores së sotme të cilën e përdorin nxënësit në klasë të pare dhe njihet si zanafilla e kompjuterëve të sotëm. Prej kohës së zbulimit të Abacusit e deri në shekullin 17 historia e zhvillimit të kompjuterëve nuk posedon të dhëna për ndonjë lëvizje në rrugën e zhvillimit të kompjuterëve.- Gjatë shekullit 17, respektivisht në vitin 1614 matematikani skocez J. Napier zbulon logaritmet dhe në vtin 1622 W. Oughtred ndërton kompjuterin (makinën) logaritmik cirkular për llogaritjen e logaritmeve.- Në vitin 1649 Blaise Pascal ndërton makinën mekanike për kryerjen e operacioneve aritmetike. Makina e Pascalit është e ndërtuar prej disa dhëmbëzorëve të cilët në lëvizje vendohen mekanikisht (me dorë). Ideja e konstruktimit të një makine-kalkulatori (kalkulator quhet makina e cila kryen operacionet aritmetike) ka qenë lehtësimi i punës së të atit të tij i cili ka qenë puntor i tatimeve (mbledhës i tatimeve) dhe ka patur nevojë për shumë llogaritje.- Në vitin 1672 G.W. Laibniz në Pariz projekton kalkulatorin mekanik më të përsosur nga dy të parët i cili me sukse do t'i kryej katër operacionet elementare aritmetike. Kufizimi në realizimin konkret të këtij kalkulatori ka qenë teknologjia e dobët e asaj kohe prandaj ky projekt ka ngelur i pa realizuar. Është interesant të përmendet se Laibnitz ka qenë pioneri i parë në hulumtimin e sistemit binar i cili përdoret në ndërtimin e kompjuterëve të sotëm. Gjatë 150viteve në vazhdim të gjithë tentimet për zhvillimin e kalkulatorëve kanë qenë të inspiruar nga kalkulatori i Laibnitzit.- Në vitin 1822 Anglezi Charles Babbage paraqet projekt të një kalkulatori krejtësisht të ndryshëm i dedikuar për llogaritjen e tabelave për funksione të caktuara. Projekti i këtillë do të finansoheshe nga qeveria Angleze e asaj kohe dhe do të përdoreshe për llogaritjen e tabelave për navigacionin detar. Për shkak të kompleksitetit dhe kushteve financiare e teknologjike ky projekt nuk u krye, në vitin 1842 definitivisht projekti u ndërpre. Makinën e këtillë Babbage e quajti makina diferenciale. Projektin e makinës diferenciale me sukse e realizuan Suedezët në vitin 1854 nën udhëheqen e P. G. Scheutza (duke i zbatuar sqarimet dhe vërejtjet e dhëna nga Babbage në 7000 faqe të shkruara) dhe makina e fituar nën pogon mekanik me sukse i llogariti tabelat (për 80 orë ka logarit 10000 logaritme).- Në vitin 1835 Babbage erdhi në idenë e konstruktimit të një makine programabile me funksionet që i kanë kompjuterët e tanishëm (me njësinë aritmetike-logjike, memorjen, etj.). Makinën e këtillë e quajti makina analitike. Për shkak të krizave finaciare dhe të vështirësive teknologjike kjo makinë ngeli vetëm në fazën e projektimit në letër por dha një inpuls të fuqishëm në zhvillimin e kompjuterëve të mëtutjeshëm.- Koha moderne fillon me përdorimin e energjisë elektrike në makinat për llogaritje. Në vitin 1884 emigranti gjerman në Amerikë Herman Holerith patenton makinën e pare elektrike e cila do të mund të rendit (sortoj) kartelat e shpuara me të dhënat për banorët e Amerikës. Makina e Holerithit në lëvizje vendoheshte me ndihmën e baterive. Qëllimi i kësaj makine ishte renditja e kartelave me të dhënat e banorëve të Amerikës të regjistruar në vitin 1890. Holerithi ishte inzhenier dhe punonte në institutin e statistikës, problem në atë kohë ishte përpunimi statistikor i të dhënave. Kështu regjistrimi statistikor në teren zgjatë disa muaj ndërsa përpunimi zgjate disa vjetë por bile edhe dhjetra vjetë dhe kur të dhënat përpunoheshin rezultatet e fituara ishin të vjetëruara (sepse regjistrimi statistikor zakonisht bëhet çdo 10 vjetë). Qeveria e asaj kohe shpall konkurs për përpunimin automatik të të dhënave me qëllim të përshpejtimit të përpunimit. Holerithi pasi punonte në institutin ku bëheshte përpunimi i të dhënave të këtylla, e njihte problemin dhe për këtë qëllim patentoi makinën e tij. Kështu me ndihmën e 56 makinave të Holerithit u aritë që të dhënat statistikore për popullsinë e Amerikës të përpunohen vetëm për gjashtë javë (në atë regjistrim Amerika doli me 62 622 250 banorë).- Pas këtij suksesi Holerithi themeloi kompaninë për prodhimin dhe huazimin e këtyre makinave (makina quheshe Tabulating Machine) me emrin Tabulating Machine Company e cila në vitin 1924 u bashkua me disa kompani të tjera dhe ndëroi emrin në IBM (International Business Machines), e njohur edhe sot.- Në vitin 1936 gjermani K. Zuse në Berlin arrinë të konstruktoj kalkulatorin programabil i cili do të mund të zgjidhë barazimet lineare. Zuse ariti të konstruktoj makinën e pare e cila shfrytëzonte sistemin binar, këtë makinë e konstriktoi në katër modele të njëpasnjëshëm Z1, Z2, Z3 dhe Z4, por modeli Z4 ngeli vetëm si ide interesante.- Me fillimin e luftës së dytë botërore interesimi për makina llogaritëse (kompjuterë) u zvoglua dhe gjithnjë mendohej në përmirësimin e armatimit. Mirëpo për prodhimin e armëve të reja artilerike nevoitej një hulumtin më i thellë dhe llogaritje të vështira, për hulumtime dhe llogaritje të thella nevoiteshe kohë e cila mungonte. Në vitin 1942 Fakulteti Moore School of Electrical Engineering nga Universiteti i Pensilvanisë bashkë me institutin Ballistic Research Laboratory nga armata Amerikane filloi hulumtimet për një makinë-kompjuter i cili do t'u lehtësonte punën puntorëve në industrinë ushtarake për prodhimin e armatimit artilerik respektivisht do të llogaritë tabelat balistike. Projekti deri në 1943 ishte në fshehtësi. Në vitin 1943 filloi ndërtimin nën udhëheqjen e udhëheqësve të projektit John W. Mauchly dhe J. Presper Eckert. Kompjuteri i menduar u quajt ENIAC (Electronic Numerical Integrator and Computer) dhe në përdorim u lëshua më 15 Shkurt 1946. Kompjuteri ENIAC meret si kompjuteri i parë i formës dhe me funksionet e kompjuterëve të sotëm. Me konstruktimin e ENIAC-ut fillon edhe gjenerata e parë e zhvillimit të kompjuterëve. Vlenë të përmendet se idenë për ndërtimin e kompjuterit të këtillë (në vitin 1930) e dha matematicienti John V. Atanasoff i cili në atë kohë punonte me kompjuterët analog për zgjidhjen e barazimeve lineare në lëminë e kërkimeve operacionale si dhe matematikani i shekullit 20 John von Neuman i cili ariti që teoretikisht ta përpunojë idenë dhe të bëjë sistematizimin e idesë.- Kompjuteri ENIAC përmbante afër 18000 llëmba elektronike, peshonte afër 30 tonë, zënte sipërfaqe prej 150 m2.- Kompjuterët e prodhuar prej vitit 1946 deri 1953 (kompjuterët EDVAC, ILLIAC, MANIAC etj.), njihen si gjenerata e parë dhe karakterizohen me llëmbat elektronike.- Me zbulimin e tranzistorit fillon gjenerata e dytë, kjo gjenerat zgjat prej vitit 1953 deri 1964. Tek kompjuterët e gjeneratës së dytë fillon zbatimi i gjuhëve të larta programore (Fortran-i paraqitet në vitin 1957, Algol në vitin 1961, etj.)- Gjenerata e tretë e kompjuterëve fillon në vitin 1964 dhe vazhdon deri në vitin 1971, kompjuterat e konstruktuar në këtë periudhë karakterisohen me qarqet e integruara-çipat.- Gjenerata e katër e kompjuterëve fillon në vitin 1971, kompjuterët e kësaj gjenerate karakterizohen me qarqet integrale të dendësisë së madhe LSI dhe VLSI (V-very). Gjenerata e katër e kompjuterëve ende është e hapur, PC kompjuterët e sotëm i takojnë gjeneratës së katër.- Për dallim nga katër gjeneratat e para kompjuterët e të cilave bëjnë përpunimin e të dhënave, kompjuterët e gjeneratës pestë e cila fillon në vitin 1981 bëjnë përpunimin e njohurive. Në këtë gjeneratë bien makinat e quajtura Robot.- Kompjuterët e gjeneratës së gjashtë (njëherit gjenerata e fundit e kompjuterëve) e cila fillon në vitin 1986 merren me përpunimin e inteligjencës. Kompjuterët e kësaj gjenerate quhen Neurocomputers (Kompjuterët neural, Kompjuterët biologjik) të cilët në punën e tyre tentojnë të imitojnë trurin dhe sistemin nervorë të njeriut. Këta kompjuterë në fillim të jetës mësojnë (me metoda speciale eksperimentale) dhe pastaj janë në gjendje të veprojnë pa prezencën dhe ndikimin e njeriut.PJESA PROGRAMORE E KOMPJUTERIT-SOFTUERISistemi operativ- Programet, asemblerët dhe kompajlerët ekzekutohen në kompjuter, në praninë e një mjedisi të caktuar programues. Këtë mjedis programues e përcakton sistemi operativ. Sistemi operativ është një grumbull i programeve i cili manipulon me resurset dhe shërbimet e sistemit kompjuterik (harduerit), siç janë memoria qëndrore, njësitë hyrëse-dalëse, etj. Pra sistemi operativ e komandon (manipulon) me hardverin e sistemit kompjuterik. Programi, në mënyrë implicite apo eksplicite, vetëm përmes direktivave të sistemit operativ mund t'i shfrytëzojë resurset dhe shërbimet e sistemit kompjuterik. Pra programi e urdhëron apo kërkon nga sistemi operativ shfrytëzimin e resurseve kompjuterike.- Nga kjo që u tha më sipër shihet se programet të cilat i shkruajmë (programeve aplikative) në gjuhët larta programuese, nuk e komandojnë harduerin, por i dërgojnë komanda sistemit operativ, i cili më pastaj manipulon me harduer për të arritur te rezultatet e dëshiruara. Kjo do të thotë se sistemi operativ është një lloj ndërmjetësuesi (interfejs) në mes të programeve aplikative dhe harduerit kompjuterik.- Roli kryesor i sistemit operativ është të shërbej si ndërmjetësues në mes të shfrytëzuesit dhe hardverit kompjuterik, dhe në mes të programeve aplikative dhe hardverit kompjuterik.- Ekzistojnë sisteme të ndryshme operative, mirëpo më të njohurat në PC janë MS-DOS dhe MS WINDOWS 95.- MS-DOS ( MicroSoft Disk Operating System), që do të thotë sistemi operativ i diskut i majkrosoftit. Nga këndi i vështrimit të programerit MS-DOS është sistem operativ hierarkial, që përmbanë tri nivele (shtresa), të cilat e ndajnë shfrytëzuesin dhe programet aplikative prej hardverit kompjuterik. Këto shtresa janë BIOS ( Basic Input-Output System që do të thotë sistemi themelor për hyrje-dalje), kerneli i DOS-it, dhe interpretuesi i komandave. Shtresa më e ulët është BIOS-i. BIOS-i kryesisht manipulon me këto njësi hardverike:● Konzolla (tastatiera dhe ekrani);● Printed i përgjithshëm;● Portet serike;● Orën e taktit të kompjuterit;● Diskun startues.- Kerneli i DOS-it, përveq tjerash, ofron shërbimet për:● Manipulimin e folderëve dhe fajllave;● Manipulimin e memories qëndrore;● Kohën dhe datën;● Menagjmentin e programeve aplikative.- Interpretuesi i komandave ka për detyrë që të ekzekutojë komandat të cilat ia jep shfrytëzuesi, duke kyçur edhe leximin dhe ekzekutimin e programeve aplikative.- Edhe pse Windows është paraqitur në mes të viteve 1980, nuk pati ndonjë sukses të madh në treg. Mirëpo me lansimin e verzionit Windows 3.0 më 1990, e sidomos me Windows 3.1 një vit më vonë e gjithë kjo ndryshoi, dhe tani Windows është produkt softverik i dyti më i shituri i të gjitha kohrave, pas MS DOS-it (e sidomos me lajmërimin e Windows 95/98).Windows punon se bashku me DOS-in por sillet si sistem operativ në vehte. Duke i shtuar nivel softverik mbi DOS, Windows-i i shton zgjerime grafike DOS-it.- Popullariteti i Windows-it i ka shtyer shumë programerë dhe shtëpi softverike botuese që të zhvillojnë aplikacione të cilat janë vetëm për Windows. Të gjitha këto aplikacione kanë një pamje të përgjithshme të ngjashme. Nëse dini të drejtoni një strukturë të menysë në një aplikacion të Windows-it atëherë dini të bëni të njejtën gjë edhe në aplikacionet tjera.- Përparësitë kryesore të Windows-it janë:● Platformë multitasking, në të cilën shumë aplikacione mund të ekzekutohen në të njejtën kohë.● Pamje gjenerale e ngjashme e të gjitha aplikacioneve të shkruara për Windows.● Mjedis grafik, i cili manipulohet me ndihmën e miut (apo tastierës).● Mundësia e shkëmbimit të informatave - duke përfshirë fotografi, dokumente, etj. ndërmjet aplikacioneve të ndryshme.● Një numër të veglave ndihmëse, duke përfshirë editor të tekstit, program per vizatim, kalkulator, program komunikues për modem, etj. computer dating [këm'pju:të:deiting] n. takim (dy personash) me ndihmën e sistemit informatik telefonik computerese [këmpju:të'ri:z] n. gj.fol. zhargon i / gjuhë e informatikës● computer game [këm'pju:të:geim] n. lojë elektronike, lojë me kompjuter● computer aided design, computer assisted design [këm'pju:të: eidid di'zain/ ë'sistid] n. vizatim teknik me kompjuter● computerist [këm'pju:tërist] n. amer. informatikan● computerization [këmpju:tërai'zeishën] n 1. trajtim elektronik, kompjuterizim; automatizim. 2. hedhje (të dhënash etj) në kompjuter● computerize [këm'pju:tëraiz] vt 1. informatizoj, kompjuterizoj; përpunoj në kompjuter. 2. hedh në kompjuter● computer language [këm'pju:'længwixh] n. gjuhë programimi● computer literate [këm'pju:'litërit] adj. që ka njohuri në informatikë, që njeh kompjuterin● computer operator [këm'pju:'opëreitë:(r)] n. kompjuterist, person që punon në/me kompjuter● computer programmer [këm'pju:'prëugræmë:(r)] n. kmp. programist● computer science [këm'pju:'saiëns]n. informatikë● computer studies [këm'pju:'stadis] n. informatikë* * *kompjuter -
9 NCMS
1) Военный термин: nuclear cruise missile submarine2) Физиология: Neural Control of Movement Society3) Электроника: National Center for Manufacturing and Science
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