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practical+learning

  • 61 mądroś|ć

    f 1. sgt (rozum) wisdom
    - posiadać głęboką mądrość to possess great wisdom a. to be a person of great wisdom
    - z wiekiem nabieramy mądrości wisdom comes with age
    2. sgt (sensowność) wisdom
    - mądrość decyzji/postępowania the wisdom of a decision/an action
    3. sgt (spryt) sagacity
    - cechuje go wielka mądrość polityczna he is a man of great political sagacity
    4. zw. pl pot. (tradycyjny pogląd) conventional wisdom; (powiedzenie, stwierdzenie) word a. piece of wisdom; pearl of wisdom także żart.
    - oszczędź mi tych swoich mądrości keep your pearls of wisdom to yourself iron.
    - zacytować kilka wschodnich mądrości to quote some oriental wisdom
    5. sgt (zasób wiedzy) wisdom
    - ludowa mądrość folk wisdom, folklore
    - przekazywać komuś mądrość to impart wisdom to sb
    - nabierać mądrości to gain wisdom
    ■ mądrość książkowa book learning
    - mądrość życiowa practical wisdom, common sense
    - bez ciekawości nie ma mądrości przysł. curiosity leads to wisdom

    The New English-Polish, Polish-English Kościuszko foundation dictionary > mądroś|ć

  • 62 show

    1. I
    1) a scar (a mark of a wound, etc.) shows шрам и т.д. виден /заметен/; а stain shows проступает пятно; does my slip show? у меня не выглядывает комбинация?; your straps are showing у тебя бретельки видны
    2) time will show время покажет
    2. II
    1) show in some manner the pattern shows plainly рисунок ясно виден /четко проступает/; show at some time buds are just showing почки только начинают появляться; the scar still shows шрам еще заметен
    3. III
    show smth.
    1) show one's new hat (one's books, one's designs, a specimen of his new work, etc.) показывать свою новую шляпу и т.д.; show a film показывать /демонстрировать/ фильм; show a cheap line of goods выставлять /демонстрировать/ дешевые товары; show one's wares разложить свои товары; show one's tickets (one's passport, one's licence, etc.) предъявлять билеты и т.д.; show the contents of your pockets покажи, что [там] у тебя в карманах; show one's legs (one's breast, one's arms, etc.) обнажать ноги и т.д.; that dress shows your underwear из-под этого платья у вас видно нижнее белье; show one's teeth оскалить зубы; show one's face /one's nose/ появляться, показываться
    2) show signs of intelligence (signs of use, no signs of wear, great improvement, more learning, a noble spirit, taste, a great deal of originality, unexpected daring, etc.) обнаруживать признаки ума и т.д.; he showed no signs of life он не проявлял признаков жизни; he showed no sign of having heard anything он и виду не подал, что что-то слышал; his cheeks showed two red patches на его щеках выступили два красных пятна; he shows his age по нему видно, что он немолод; his face showed his delight (his pleasure) его лицо выражало восторг (удовольствие); she showed neither joy nor anger она не проявляла ни радости, ни злости, по ней не было видно, радуется она или злится; try not to show any emotion постарайтесь не показывать никаких эмоций /не показывать виду, что вы волнуетесь/; show one's true character показывать свой истинный характер; show resemblance обнаруживать сходство, быть похожим; show (great) promise подавать (большие) надежды; show good judgement судить здраво, проявлять трезвый подход к вещам; show favour (courage, intelligence, etc.) проявлять благосклонность и т.д.; show one's hand /one's cards/ раскрыть свой карты
    3) show the existence of smth. (the impossibility of doing smth., the falsity of the tale, the absurdity of the explanation, etc.) показывать /доказывать/ существование чего-л. и т.д.; his edginess shows a lack of self-confidence его нервозность говорит о неуверенности в себе
    4) show time (the hour, speed, the way, a loss, a net profit of t 1000, etc.) показывать время и т.д.; the indicator shows a speed of 60 miles an hour счетчик /спидометр/ показывает скорость [в] шестьдесят миль в час
    5) a light carpet will show the dirt на светлом ковре будет видна /заметна/ грязь; the picture shows three figures на картине изображены три фигуры
    4. IV
    1) show smth. in some manner show smth. openly (reluctantly, occasionally, etc.) выставлять /показывать, демонстрировать/ что-л. открыто и т.д.; show smth. somewhere show smth. here and there выставлять /показывать/ что-л. повсюду; never show your face again here не смей здесь больше показываться, чтоб и носа твоего здесь не было
    2) show smth. in some manner show smth. clearly (obviously, distinctly, etc.) ясно и т.д. обнаруживать /проявлять/ что-л.
    3) show smth. in some manner show smth. conclusively (fully, unequivocally, clearly, partly, subsequently, etc.) убедительно и т.д. показывать /доказывать/ что-л.
    4) show smb. somewhere show smb. upstairs (downstairs, out) проводить кого-л. наверх (вниз, к выходу); show him in приведите его сюда
    5. V
    show smb. smth.
    1) show the teacher your hands (him your new hat, the children some interesting pictures, me what is inside, etc.) показать учителю руки и т.д.; what can I show you, madam? что вам угодно, мадам? (в магазине, ателье и т.п.); show smb. the way показывать кому-л. дорогу, объяснять кому-л., как пройти; show smb. the way to town (to the village, to the station, etc.) объяснять /показывать/ кому-л., как пройти в город и т.д.; show smb. the way to learn languages (to master the art, to achieve one's ends, etc.) объяснять кому-л., как изучать языки и т.д.; show smb. the door указать кому-л. на дверь id I could show him a thing or two coll. я могу ему кое-что показать
    2) show smb. kindness (great favour, indifference, etc.) проявлять доброту и т.д. по отношению к кому-л.; he showed me great sympathy when I was in trouble он проявил ко мне большее участие, когда я попал в беду
    6. VII
    show smb. to be smb. show smb. to be a rascal (to be a coward, etc.) показать /доказать/, что кто-л. подлец и т.д.; show smb. how to do smth. show smb. how to operate this machine (how to draw a chart, etc.) показать кому-л., как работать на этой машине и т.д.; show me how to read (how to write, how to do the problem, etc.) научи меня читать и т.д.; show smb. what to do показать кому-л. /научать кого-л. /, что делать
    7. XI
    1) be shown to smb. I won't believe it unless it's shown to me я не поверю, пока мне этого не покажут; be shown (on) smth. the roads are shown in red дороги обозначены красным; as shown in the illustration (in the table, in the graph, in the statement above, etc.) как показано на рисунке и т.д.; the place shown on the map место, указанное на карте; machine shown in section машина, показанная в разрезе
    2) be shown (in)to (out of) smth. I was shown into the room меня провели в комнату; I was shown to the gates меня проводили до ворот; he was shown out of the office его выпроводили из кабинета; be shown over (round, through) smth. the visitors were shown all over (round) the city приезжих водили по (всему) городу: I was shown through the rooms of the hotel мне показали номера гостиницы
    3) be shown in some manner that... it can easily be shown that... нетрудно доказать, что...
    8. XV
    show to be in some state the house shows white from here отсюда дом выглядит белым; oil paintings show best at a distance картины маслом лучше смотреть на расстоянии
    9. XVI
    show from some place show from the top of the mountain (from a great distance, from here, etc.) виднеться /быть видным/ с вершины горы и т.д.; show through (above, below, etc.) smth. show through the fog (through the trees, above the wood, below the water, etc.) быть видным /виднеться/ сквозь туман и т.д.; the veins show under the skin вены просвечивают через кожу; show on smth. the buds are already showing on the trees на деревьях появились почки || show in smb.'s face /in smb.'s expression/ отражаться на лице; anger showed in his face на его лице отразился /был написан/ гнев
    10. XVIII
    1) show oneself after the play the audience called for the author to show himself по окончании спектакля публика потребовала, чтобы вышел автор; the sun has shown itself above the horizon солнце появилось над горизонтом
    2) show oneself as being of some quality show oneself cruel (generous, very friendly, etc.) проявить жестокость и т.д.; show oneself smb. show oneself a first-rate leader проявить себя первоклассным организатором; show oneself a practical man доказать свою практичность; show oneself a coward показывать свою трусость; he showed himself as accommodating as possible он доказал свою необыкновенную сговорчивость; show oneself to be smth. he showed himself to be unreliable он показал себя ненадежным человеком
    11. XIX1
    show like smth. show like a disk (like a small dot, etc.) казаться /выглядеть/ диском и т.д.; the building shows from here like a dark streak отсюда здание кажется темной полосой
    12. XX1
    show as smth. the yacht only shows as a dot on the skyline яхта кажется всего лишь точкой на горизонте
    13. XXI1
    1) show smth. on (at, in, etc.) smth. show a place on a map (a face on a picture, appoint on a diagram, etc.) показывать место на карте и т.д.; show one's flowers at a flower-show (specimens of fruit and vegetables at an annual show, pictures at the Academy, goods in a window, butterflies in glass cases, etc.) выставлять свой цветы на выставке и т.д.; what are they showing at the theatre? что идет в театре?; show the way to smth. show the way to the theatre (to the centre of the city, etc.) указать дорогу к театру и т.д., рассказать /объяснить/, как пройти к театру и т.д.; the signpost shows the way to London указатель показывает дорогу на Лондон; show smth. to smb. show the picture to all his friends (your tongue to the doctor, etc.) показывать картину всем его друзьям и т.д.; have you shown this to anyone? вы это кому-нибудь показывали?
    2) show smb. into (out of) smth. show him into the room (the visitor into his den, the man out of his study, etc.) проводить его в комнату и т.д.; show smb. to some place show the man to the door (to the gate, to the exit, etc.) проводить человека до двери /дверей/ и т.д.; show smb. to his seat проводить кого-л. на место; show smb. over (all over, round) smth. show smb. [all] over the house (round the plant, over the ship, round the city, etc.) показать кому-л. дом и т.д., водить кого-л. по дому и т.д.
    3) show smth. for (towards, with, at) smth., smb. show a taste for work (a liking for music, affection for the child, respect for him, sympathy with the girl, hatred towards the enemy, jealousy towards her husband, etc.) проявлять вкус к работе и т.д.; show admiration for smb. выражать восхищение [перед] кем-л.; show regard /consideration/ for smb. считаться с кем-л., проявлять уважение к кому-л.; show displeasure at smb.'s appearance (no emotion at their words, etc.) обнаруживать /показывать/ неудовольствие при чьем-л. появлении и т.д.; he showed his pleasure at the news новость его явно обрадовала; show smth. in smth., smb. show zeal in one's work (interest in her brother, etc.) проявлять рвение в работе и т.д. || show mercy on smb. проявлять милосердие /сострадание/ к кому-л., щадить кого-л.
    4) show smth. in smth. show a rise in temperature (a fall in prices, etc.) показывать повышение температуры и т.д.; this shows a decline in prosperity это служит показателем понижения уровня благосостояния; the chart shows a rise in birthrates диаграмма показывает прирост /увеличение/ рождаемости; show smth. between smth. show the relation between smth. and smth. обнаруживать отношение /связь/ между чем-л. и чем-л.; the experiment shows the relation between work and heat эксперимент подтверждает /указывает на/ существование связи между работой и тепловой энергией
    14. XXV
    1) show what... (how..., etc.) we will show what he was doing мы покажем, что он делал; the diagram shows how this device works диаграмма объясняет, как работает это устройство he showed that he was annoyed no нему было видно, что он недоволен
    2) show that... (why..., how..., etc.) show that it is true (that it is silly, why he needed the book, how false it was, how much he felt it, etc.) доказывать /объяснять/, что это правда и т.д.; it only shows how little you know (that I was right, that you were not telling the truth, etc.) это только говорит о том, как вы мало знаете и т.д.; that /it/ goes to show that... это свидетельствует о том, что...; nothing seemed to show that he was guilty ничто, казалось, не указывало на его виновность XXIV show me what you have in your bag покажите, что у вас в сумке

    English-Russian dictionary of verb phrases > show

  • 63 training

    1) (preparation for a sport: He has gone into training for the race.) an­tre­na­ment
    2) (the process of learning (the practical side of) a job: It takes many years of training to be a doctor.) pregătire

    English-Romanian dictionary > training

  • 64 training

    1) (preparation for a sport: He has gone into training for the race.) προπόνηση
    2) (the process of learning (the practical side of) a job: It takes many years of training to be a doctor.) εκπαίδευση

    English-Greek dictionary > training

  • 65 experience

    [ɪk'spɪərɪən(t)s], [ek-] 1. сущ.

    by / from experience — по опыту

    to know by / to know from experience — знать что-л. по опыту

    to learn by experience — познать что-л. на опыте

    to acquire / gain / gather / get experience from — научиться на опыте

    broad / wide experience — большой опыт

    direct / firsthand experience — из первых рук (опыт, передаваемый при непосредственном общении обучающего и обучаемого)

    previous experience — предыдущий опыт, опыт предшественников

    2) опытность; опыт работы, стаж работы

    He's counting on his mother to take care of the twins, for she's had plenty of experience with them. — Он расчитывает, что его мать позаботится о близнецах, так как у нее был достаточный опыт ухода за ними.

    She has 10 years experience in the job. — У нее десятилетний опыт такой работы.

    3)
    а) случай, событие

    harrowing / painful / unnerving / unpleasant experience — неприятное происшествие

    to have an experience — попасть в какую-л. ситуацию

    share an experience — поделиться опытом, рассказать какой-нибудь случай из собственной жизни

    Syn:
    б) впечатление, переживание
    2. гл.
    1) испытывать, знать по опыту

    We had never experienced this kind of holiday before and had no idea what to expect. — Мы никогда не попадали на такого рода праздники и не знали, чего нам ожидать.

    2) испытывать, чувствовать, переживать

    He experienced severe hardships as a child. — У него было очень тяжёлое детство.

    Widows seem to experience more distress than do widowers. — Вдовы, по-видимому, испытывают большее горе, чем вдовцы.

    Syn:

    Англо-русский современный словарь > experience

  • 66 тестирование с целью доработки

    Этот термин обозначает проверочную методику, для которой характерны небольшие экспериментальные группы, проходящие курсы обучения по предварительным вариантам до того, как их предложат для общего использования. Таким образом, тестирование с целью доработки является разновидностью предварительного формирующего оценивания. В литературе по программированному обучению формирующее оценивание очень часто означает то же, что и рассматриваемое здесь тестирование с целью доработки. Однако для дистанционных образовательных учреждений может оказаться целесообразным ограничить употребление последнего термина оценочной работой, которая проводится до того, как курс будет предложен студентам как часть учебной программы, и использовать термин Скривена 'формирующее оценивание' для исследования того, как функционирует выпущенный на рынок курс, с целью модификации его последующих изданий. — This is a term that denotes try-out procedures characterized by small experimental groups taking courses in preliminary versions before these are offered for more general use. Developmental testing is thus a type of preliminary formative evaluation. In literature on programmed learning, formative evaluation very often means the same thing as developmental testing, as described here. For distance-education institutions, however, it may be practical to limit the latter term to evaluation work done before the course is offered to students as part of a syllabus and to use Scriven's term 'formative evaluation' for investigation, with a view to modifying later editions, of how a course already on the market functions.

    Russian-English Dictionary "Microeconomics" > тестирование с целью доработки

  • 67 training

    noun
    1) preparation for a sport:

    He has gone into training for the race.

    تَدْريب
    2) the process of learning (the practical side of) a job:

    It takes many years of training to be a doctor.

    تَدَرُّب

    Arabic-English dictionary > training

  • 68 training

    1) (preparation for a sport: He has gone into training for the race.) entraînement
    2) (the process of learning (the practical side of) a job: It takes many years of training to be a doctor.) formation

    English-French dictionary > training

  • 69 training

    1) (preparation for a sport: He has gone into training for the race.) treinamento
    2) (the process of learning (the practical side of) a job: It takes many years of training to be a doctor.) formação

    English-Portuguese (Brazil) dictionary > training

  • 70 σοφία

    σοφία, [dialect] Ion. -ιη, ἡ, prop.
    A cleverness or skill in handicraft and art, as in carpentry, τέκτονος, ὅς ῥά τε πάσης εὖ εἰδῇ ς. Il.15.412; of the Telchines, Pi.O.7.53; ἡ ἔντεχνος ς., of Hephaestus and Athena, Pl.Prt.32 1d; of Daedalus and Palamedes, X.Mem.4.2.33, cf. 1.4.2; in music and singing, τέχνῃ καὶ ς. h.Merc. 483, cf. 511; in poetry, Sol.13.52, Pi.O.1.117, Ar.Ra. 882, X.An.1.2.8, etc.; in driving, Pl. Thg. 123c; in medicine or surgery, Pi.P.3.54; in divination, S.OT 502 (lyr.);

    δυσθανατῶν ὑπὸ σοφίας εἰς γῆρας ἀφίκετο Pl.R. 406b

    ; σ. δημηγορική, δικανική, ib. 365d; ἡ περὶ Ὁμήρου ς. Id. Ion 542a;

    οὐ σοφίᾳ ἀλλὰ φύσει ποιεῖν Id.Ap. 22b

    ;

    σημαίνοντες τὴν ς..., ὅτι ἀρετὴ τέχνης ἐστίν Arist.EN 1141a12

    : rare in pl., Pi.O.9.107, Ar.Ra. 676 (lyr.), IG12.522 (vase, v B.C.).
    2 skill in matters of common life. sound judgement, intelligence, practical wisdom, etc., such as was attributed to the seven sages, like φρόνησις, Thgn.790, 876, 1074, Hdt.1.30,60; ἡ τῶν δεινῶν ς., opp. ἀμαθία, Pl.Prt. 360d; τὴν τότε καλουμένην σ., οὖσαν δὲ

    δεινότητα πολιτικὴν καὶ δραστήριον σύνεσιν Plu.Them.2

    ; also, cunning, shrewdness, craft, Hdt.1.68, etc.; τὸ λοιδορῆς αι θεοὺς ἐχθρὰ ς. Pi.O. 9.38.
    3 learning, wisdom,

    μείζω τινὰ ἢ κατ' ἄνθρωπον σοφίαν σοφοί Pl.Ap. 20e

    ; opp. ἀμαθία, ib. 22e; freq. in E., e.g.

    μόρσιμα.. οὐ σοφίᾳ τις ἀπώσεται Heracl. 615

     (lyr.); τὸ σοφὸν οὐ σοφία (v.

    σοφός 1.3

    ) Ba. 395 (lyr.), etc.; freq. in Arist., speculative wisdom, EN 1141a19, Metaph. 982a2, 995b12 (pl.), 1059a18; defined as θείων τε καὶ ἀνθρωπίνων ἐπιστήμη, Stoic.2.15; but also of natural philosophy and mathematics,

    σ. τις καὶ ἡ φυσική Arist.Metaph. 1005b1

    , cf. 1061b33.
    4 among the Jews,

    ἀρχὴ σοφίας φόβος Κυρίου LXX Pr.1.7

    , cf. Jb.28.28, al.; Σοφία, recognized first as an attribute of God, was later identified with the Spirit of God, cf. LXX Pr.8 with Si. 24sq.
    5 later as a title, ἡ ὑμετέρα, ἡ ὑμῶν ς., POxy.1165.6, PSI7.790.14 (both vi A.D.).

    Greek-English dictionary (Αγγλικά Ελληνικά-λεξικό) > σοφία

  • 71 Dallmeyer, Thomas Rudolphus

    [br]
    b. May 1859
    d. 25 December 1906
    [br]
    English camera-lens designer.
    [br]
    The second son of J.H. Dallmeyer, after graduating at King's College he joined his father's factory, learning lens grinding and optical brass-work manufacture. When his father retired because of ill health in 1882, he took over the business, in which he remained active until his death. He made many improvements in lens design, chiefly in his introduction of the first practical telephoto lens in 1891, for which he received the Progress Medal of the Royal Photographic Society in 1896. He also developed a number of variable focal length lenses, including the soft-focus Bergheim Portrait lens of 1896.
    BC

    Biographical history of technology > Dallmeyer, Thomas Rudolphus

  • 72 Artificial Intelligence

       In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)
       Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)
       Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....
       When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)
       4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, Eventually
       Just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)
       Many problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)
       What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)
       [AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)
       The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)
       9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract Form
       The basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)
       There are many different kinds of reasoning one might imagine:
        Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."
        Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)
       Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)
       Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)
       The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)
        14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory Formation
       It is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)
       We might distinguish among four kinds of AI.
       Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.
       Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.
    ... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)
       Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)
        16) Determination of Relevance of Rules in Particular Contexts
       Even if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)
       Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)
        18) The Assumption That the Mind Is a Formal System
       Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)
        19) A Statement of the Primary and Secondary Purposes of Artificial Intelligence
       The primary goal of Artificial Intelligence is to make machines smarter.
       The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)
       The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....
       AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)
        21) Perceptual Structures Can Be Represented as Lists of Elementary Propositions
       In artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)
       Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)
       Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)
       The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)

    Historical dictionary of quotations in cognitive science > Artificial Intelligence

  • 73 mektepli

    "1. pupil, student, schoolkid. 2. person who has a school or university diploma; person who has book learning (but little practical experience)."

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  • 74 עסק

    עָסַק(cmp. b. h. עָשַׂק) (with ב) to work at, be engaged in. Sifra Kdosh., ch. VIII, Par. 4 ועוֹסֵק בו; Yalk. Lev. 619 ועוֹסְקֵנִי בו and busy myself with him (to punish him), v. עֵסֶק II. Ber.11a (ref. to Deut. 6:7, ‘when thou sittest in thy house) פרט לעוסק במצוה this exempts (from reading the Shma) him who is engaged in a religious work; Succ.25a Ib. והעוסק במצוה פטור מן המצוה מהכא נפקאוכ׳ is it from here (Deut. l. c.) that we derive the rule, that he who is engaged in a religious act is exempt from other religious duties? Ib. 26a. Pes.50b לעולם וַעֲסוֹק אדם בתורהוכ׳ let man by all means be engaged in the study of the Law and the pursuit of religious work, even if not for their own sake, v. שֵׁם. Ib. וכל העוֹסְקִין במלאכת שמים and all those who make a living of religious work (deal in objects used for religious ceremonies); ib. ואם עוסקין לשמהוכ׳ but if they do so from a religious motive ; a. fr.Part. pass. עָסוּק; pl. עֲסוּקִון. Keth.103b ר׳ חייא ע׳ במצות הוה R. Ḥ. was always engaged in some good work (charity). Tosef.Bicc.II, 15 וכל העסוקין לגכוה all whose business is connected with religion, v. supra. Ib. אם היו ע׳ לשום שמים, v. supra. Ex. R. s. 20 (ref. to Ex. 13:19) כל ישראל היו ע׳ בכסףוכ׳ while all Israel were busy taking along silver and gold, Moses was busy getting the bones of Joseph; a. fr. Hif. הֶעֱסִיק to engage, keep interested, entertain. Yoma I, 7 ומַעֲסִיקִין אותו and they entertain him (to keep him awake); ib. 19b לא היו מעסיקין אותווכ׳ they did not entertain him with music, but with their mouth (speech); Tosef. ib. I, 9. Ib. לעַסְּקוֹ בהברה (not בהברא, Pi.) to keep him awake with noise (recitations). Midr. Till. to Ps. 7 הין מַעֲסִיקוֹת אותי עד שיבוא שמואל they kept him engaged (in talk) until Samuel came; a. e. Pi. עִיסֵּק same, v. supra. Hithpa. הִתְעַסֵּק, Nithpa. נִתְעַסֵּק 1) to occupy ones self, to attend. Sot.I, 9 מי לנו גדול מיוסף שלא נ׳ בו אלא משה who is greater than Joseph, to whose body none attended but Moses himself? (v. supra); מי גדול ממשה שלא ני בווכ׳ who is greater than Moses in whose burial none but the Lord himself was engaged? Lev. R. s. 25 מתחלת ברייתו … לא נ׳וכ׳ soon after the creation the Lord was first of all engaged in planting (Gen. 2:8), אף אתם לא תִתְעַסְּקוּוכ׳ even so, when you enter the land, you shall apply yourselves first of all to planting (Lev. 19:23). Y. Ḥag.II, 77b וישבו ונִתְעַסְּקוּ, v. next w. Tanḥ. Vaëra 5 (play on הָעשֶׁק, Koh. 7:7) עסקשנ׳ שלמה … הטעהו (not הטעוהו) the occupation with vain things in which Solomon engaged, led him astray; ib. כשהחכם מִתְעַסֵּק בדברים הרבה מערבביןוכ׳ when a scholar engages in too many affairs, they confound him so that he loses his wisdom; ib. חכם המתעסק בצרכי צמור משכחיןוכ׳ if a scholar busies himself with public affairs, they cause him to forget his learning; a. fr.Tosef.Arakh.IV, 27 מִתְעַסֵּק בירק בקדרה בכל יום may arrange to have vegetables in the pot every day; מתעסק ירק בקדרה ואלפסוכ׳ (read: בירק) may have vegetables in the pot and stew 2) to do a thing without a direct practical purpose; to practice, experiment. Sabb.157b מתעסק בעלמא אנא I was merely playing (without the intention of measuring). R. Hash. IV, 8 (32b) אבל מִתְעַסְּקִין בהם כדי שילמדו Ms. M. (ed. מתע׳ עמהם עד) but you may practice with them that they may learn (to blow the Shofar); והמתעסק לא יצא and he who merely blows for practice, has not done his duty. Ib. 33a מתע׳ בהן עד שילמדווכ׳ (Tosef. ib. IV (II), 10 מתלמדין להקוע) you may practice with them …, even on the Sabbath; a. e. 3) to do one thing while intending to do another thing; to miss ones purpose, choose the wrong thing. Snh.62b המתעסק בחלביםוכ׳ he that misses his purpose in selecting forbidden fat to eat (intending to reach out for a permitted piece), or in consanguineous connection (by mistaking the person) is bound to bring a sin offering; המתע׳ בשבת who does a forbidden act by mistake on the Sabbath (meaning to do a different though forbidden act); Kerith. 19b. Ib. IV, 3 (19a) (ref. to אשר חטא בה, Lev. 4:23) פרט למתעסק this is to exempt him who sinned by doing the thing which he had not intended to do. Ib. 19b מתעסק דמאי to what kind of a mistaken act does this refer? Ib. מתע׳ בדבר דלאו מצוה if by mistake he did an act which was not commanded (for that day). Ib. מתע׳ בחבורה making a wound (on the Sabbath) by mistake (circumcising the wrong child), opp. מקלקל בחבורה doing harm by making a wound; a. fr. 4) to dispute, argue. Gen. R. s. 8 עו שמלאכי השרת מדיינין … ומתעסקין אלו עם אלו while the ministering angels were arguing with one another, disputing with one another, God created him (Adam); a. e.

    Jewish literature > עסק

  • 75 עָסַק

    עָסַק(cmp. b. h. עָשַׂק) (with ב) to work at, be engaged in. Sifra Kdosh., ch. VIII, Par. 4 ועוֹסֵק בו; Yalk. Lev. 619 ועוֹסְקֵנִי בו and busy myself with him (to punish him), v. עֵסֶק II. Ber.11a (ref. to Deut. 6:7, ‘when thou sittest in thy house) פרט לעוסק במצוה this exempts (from reading the Shma) him who is engaged in a religious work; Succ.25a Ib. והעוסק במצוה פטור מן המצוה מהכא נפקאוכ׳ is it from here (Deut. l. c.) that we derive the rule, that he who is engaged in a religious act is exempt from other religious duties? Ib. 26a. Pes.50b לעולם וַעֲסוֹק אדם בתורהוכ׳ let man by all means be engaged in the study of the Law and the pursuit of religious work, even if not for their own sake, v. שֵׁם. Ib. וכל העוֹסְקִין במלאכת שמים and all those who make a living of religious work (deal in objects used for religious ceremonies); ib. ואם עוסקין לשמהוכ׳ but if they do so from a religious motive ; a. fr.Part. pass. עָסוּק; pl. עֲסוּקִון. Keth.103b ר׳ חייא ע׳ במצות הוה R. Ḥ. was always engaged in some good work (charity). Tosef.Bicc.II, 15 וכל העסוקין לגכוה all whose business is connected with religion, v. supra. Ib. אם היו ע׳ לשום שמים, v. supra. Ex. R. s. 20 (ref. to Ex. 13:19) כל ישראל היו ע׳ בכסףוכ׳ while all Israel were busy taking along silver and gold, Moses was busy getting the bones of Joseph; a. fr. Hif. הֶעֱסִיק to engage, keep interested, entertain. Yoma I, 7 ומַעֲסִיקִין אותו and they entertain him (to keep him awake); ib. 19b לא היו מעסיקין אותווכ׳ they did not entertain him with music, but with their mouth (speech); Tosef. ib. I, 9. Ib. לעַסְּקוֹ בהברה (not בהברא, Pi.) to keep him awake with noise (recitations). Midr. Till. to Ps. 7 הין מַעֲסִיקוֹת אותי עד שיבוא שמואל they kept him engaged (in talk) until Samuel came; a. e. Pi. עִיסֵּק same, v. supra. Hithpa. הִתְעַסֵּק, Nithpa. נִתְעַסֵּק 1) to occupy ones self, to attend. Sot.I, 9 מי לנו גדול מיוסף שלא נ׳ בו אלא משה who is greater than Joseph, to whose body none attended but Moses himself? (v. supra); מי גדול ממשה שלא ני בווכ׳ who is greater than Moses in whose burial none but the Lord himself was engaged? Lev. R. s. 25 מתחלת ברייתו … לא נ׳וכ׳ soon after the creation the Lord was first of all engaged in planting (Gen. 2:8), אף אתם לא תִתְעַסְּקוּוכ׳ even so, when you enter the land, you shall apply yourselves first of all to planting (Lev. 19:23). Y. Ḥag.II, 77b וישבו ונִתְעַסְּקוּ, v. next w. Tanḥ. Vaëra 5 (play on הָעשֶׁק, Koh. 7:7) עסקשנ׳ שלמה … הטעהו (not הטעוהו) the occupation with vain things in which Solomon engaged, led him astray; ib. כשהחכם מִתְעַסֵּק בדברים הרבה מערבביןוכ׳ when a scholar engages in too many affairs, they confound him so that he loses his wisdom; ib. חכם המתעסק בצרכי צמור משכחיןוכ׳ if a scholar busies himself with public affairs, they cause him to forget his learning; a. fr.Tosef.Arakh.IV, 27 מִתְעַסֵּק בירק בקדרה בכל יום may arrange to have vegetables in the pot every day; מתעסק ירק בקדרה ואלפסוכ׳ (read: בירק) may have vegetables in the pot and stew 2) to do a thing without a direct practical purpose; to practice, experiment. Sabb.157b מתעסק בעלמא אנא I was merely playing (without the intention of measuring). R. Hash. IV, 8 (32b) אבל מִתְעַסְּקִין בהם כדי שילמדו Ms. M. (ed. מתע׳ עמהם עד) but you may practice with them that they may learn (to blow the Shofar); והמתעסק לא יצא and he who merely blows for practice, has not done his duty. Ib. 33a מתע׳ בהן עד שילמדווכ׳ (Tosef. ib. IV (II), 10 מתלמדין להקוע) you may practice with them …, even on the Sabbath; a. e. 3) to do one thing while intending to do another thing; to miss ones purpose, choose the wrong thing. Snh.62b המתעסק בחלביםוכ׳ he that misses his purpose in selecting forbidden fat to eat (intending to reach out for a permitted piece), or in consanguineous connection (by mistaking the person) is bound to bring a sin offering; המתע׳ בשבת who does a forbidden act by mistake on the Sabbath (meaning to do a different though forbidden act); Kerith. 19b. Ib. IV, 3 (19a) (ref. to אשר חטא בה, Lev. 4:23) פרט למתעסק this is to exempt him who sinned by doing the thing which he had not intended to do. Ib. 19b מתעסק דמאי to what kind of a mistaken act does this refer? Ib. מתע׳ בדבר דלאו מצוה if by mistake he did an act which was not commanded (for that day). Ib. מתע׳ בחבורה making a wound (on the Sabbath) by mistake (circumcising the wrong child), opp. מקלקל בחבורה doing harm by making a wound; a. fr. 4) to dispute, argue. Gen. R. s. 8 עו שמלאכי השרת מדיינין … ומתעסקין אלו עם אלו while the ministering angels were arguing with one another, disputing with one another, God created him (Adam); a. e.

    Jewish literature > עָסַק

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  • Learning classifier system — A learning classifier system, or LCS, is a machine learning system with close links to reinforcement learning and genetic algorithms. First described by John Holland, his LCS consisted of a population of binary rules on which a genetic algorithm… …   Wikipedia

  • practical, practicable — A simple method of learning to distinguish the meanings of these words is to turn to the entry impractical and reverse the meanings of the terms involved. When applied to persons, practical means realistic, sensible, efficient ; as relating to… …   Dictionary of problem words and expressions

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