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make use of automatic machines

  • 1 Dobby Machines

    These are exceedingly useful machines for forming the shed in weaving, since they can be used for both simple and complicated weaves. There are many types in use, most of which are negative acting in so far as they only lift the healds, springs being used beneath the healds to bring them down again after being lifted by the dobby. In the cotton trade 16 up 20 jacks is usual. Dobbies in common use are known as single lift, double lift, negative, positive, open shed, closed shed, and crossborder. Single Lift - In this type there is a single knife or griffe in use to raise the heald stave. The whole of the shafts return to their original position after each pick. A fresh selection of staves to be raised is made for each pick. Looms fitted with this dobby run slower than others, about 140 picks per minute. Double Lift - These machines are fitted with double selecting and lifting parts which move at half the speed of the loom. They give an open or semi-open shed. The speed of the loom is considerably more than for the single-lift type. Crossborder - This machine is used when headings or a change of weave is required as for bordered handkerchiefs, serviettes, towels, etc. Positive - Dobby machines which make an open shed and positively lift and depress the heald staves as required by the design. Negative - Dobbies which only lift the heald staves, and require springs or other means to move the staves to the bottom position. Centre Shed - Every thread of the warp is moved for every new shed. The shed opens from the middle. Some healds ascend and the others descend. Closed Shed - So termed because all the warp threads are brought to one level after each succeeding pick as in single-lift machines. Open Shed - The type generally used for automatic looms, also the double-lift machines. After a heald stave is lifted it remains up until it is required to be down again. The warp threads constantly form two lines, upper and lower, and the only changes are when threads move from line to the other. Semi-open Shed - This shed has a stationary bottom line, and to make changes, threads pass from the top to the bottom, or from the bottom to the top. The threads which remain up for more than one pick in succession only fall halfway and then go to the top again.

    Dictionary of the English textile terms > Dobby Machines

  • 2 автоматизировать

    1) General subject: automate
    2) Computers: computerize
    4) Mathematics: robotize
    5) Astronautics: computerise

    Универсальный русско-английский словарь > автоматизировать

  • 3 avanzar

    v.
    1 to advance.
    las tropas continúan avanzando the troops are still advancing
    el tráfico no avanzaba the traffic wasn't moving
    Mi chico avanza en la escuela My boy advances in school.
    Ricardo avanzó las ventas Richard advanced=promoted sales.
    2 to make progress.
    está avanzando mucho en sus estudios she's making very good progress with her studies
    esta tecnología avanza a gran velocidad this technology is developing very quickly
    3 to pass (time).
    el tiempo avanza muy deprisa time passes quickly
    a medida que avanza el siglo as the century draws on
    4 to move forward.
    El coche avanza lentamente The car moves forward slowly.
    * * *
    1 to advance, go forward
    1 (mover adelante) to advance, move forward
    2 (dinero) to advance
    3 (promover) to promote
    4 (una propuesta) to put forward
    1 (adelantarse) to go forward, advance; (día, noche) to draw in
    * * *
    verb
    1) to advance, move forward
    * * *
    1. VT
    1) (=mover) to move forward, advance

    avanzó la ficha cuatro casillas — he moved the counter forward four spaces, he advanced the counter four spaces

    2) [+ dinero] to advance
    3) [+ opinión, propuesta] to put forward
    4) [+ resultado] to predict; [+ predicción] to make
    5) Caribe (=vomitar) to vomit
    2. VI
    1) (=ir hacia adelante) to advance, move forward

    no me esperéis, seguid avanzando — don't wait for me, carry on

    2) (=progresar) to make progress
    3) [noche, invierno] to draw on, approach
    3.
    See:
    * * *
    1.
    verbo intransitivo
    a) persona/tráfico to advance, move forward

    avanzar hacia la democracia — to move o advance toward(s) democracy

    b) ciencia/medicina to advance
    c) cinta/rollo to wind on
    d) persona (en los estudios, el trabajo) to make progress; negociaciones/proyecto to progress
    e) tiempo to draw on
    2.
    a) ( adelantarse) to move forward, advance
    b) ( mover) to move... forward, advance

    avanzó un peón — he moved o pushed a pawn forward

    c) < propuesta> to put forward
    * * *
    = gain + ground, get + far, go forward, make + gains, make + progress, move ahead, move on, move onwardly, move up, page (through), progress, advance, proceed, press on, come along, fast-forward, take + a step forward, get + ahead, move forward, make + step, take + strides, make + advances, develop, move along, get + unstuck, press forward (with), move + forward, go forth, make + headway.
    Ex. Standardisation of formats is less developed; however UNIMARC is gaining ground as a national exchange format, whilst USMARC is also used by university and public libraries.
    Ex. If scientific reasoning were limited to the logical processes of arithmetic, we should not get far in our understanding of the physical world.
    Ex. Thus, if you want to reply yes, enter a 'y'; if you want to go forward, enter 'f'.
    Ex. Expenditures in public libraries in the USA rose sharply in 1988 while use continued to make modest gains, with the greatest increase in juvenile loans.
    Ex. We could then simply alter our expectations accordingly, and exult in the progress we have made.
    Ex. It is impatient with Juctionville for its failure to move ahead as fast as it would like and is bothered by the city's drabness and general lack of class and culture.
    Ex. Rather readers grow by fits and starts now rushing ahead, now lying fallow, and now moving steadily on.
    Ex. In its simplest statement, the prime goal of any act of education is that it should serve us in the future... takes us somewhere... let us move onwardly more easily.
    Ex. Now we move up the chain providing index entries for each of the potentially sought terms.
    Ex. The system displays the records in brief format and the user can 'page' through the matches until the required record is found.
    Ex. It is normally taken to indicate that the document has been revised, if a work has progressed to a second or subsequent edition.
    Ex. All this is not to be impulsively regretted since specialized studies can advance in no other way, but synthesis becomes increasingly important and dishearteningly more difficult.
    Ex. Before we proceed to look at the operators in detail, a couple of examples may help to make the layout clearer.
    Ex. Hoping the gentler tone and the more relaxed manner meant that her anger was abating, the young man pressed on less apprehensively.
    Ex. However, we have not heard the final word by any means for there are new products and improved examples of existing products coming along.
    Ex. Modern machines have an automatic facility for fast-forward and rewind as well as a manual control for slower, more precise location of the required information on the microfilm.
    Ex. LCSH has taken a further step forward with the use of computer-controlled typesetting.
    Ex. Low-income urban families simply do not have any use for the traditional library or indeed any motivation for self-improvement and getting ahead = Las familias urbanas con ingresos bajos simplemente no tienen la necesidad de usar la biblioteca tradicional o de hecho no sienten motivación para la superación personal y para avanzar.
    Ex. This article argues the need to move forward with the infotech culture without abandoning the service culture.
    Ex. Schucking noted that early step when a child's 'imagination awakes, without corresponding development of the critical faculty,' a step most children make before they reach school age = Schucking se percató de ese primer paso en el niño cuando "se despierta su imaginación sin el correspondiente desarrollo de la capacidad crítica", un paso que dan la mayoría de los niños antes de alcanzar la edad escolar.
    Ex. In the half century since the publication of McKerrow's Introduction bibliography has taken giant strides in many directions.
    Ex. The author maintains that, aside from increasing computational speed, and thus real-time control, musically no advances have been made.
    Ex. The economics journal system has not grown and developed in a structured fashion, which has resulted in overspill into report literature.
    Ex. As university libraries move along this continuum they will become evolutionary, non-hierarchical, entrepreneurial and horizontal.
    Ex. In addition, students can use the glossary to get 'unstuck' while learning.
    Ex. The company is pressing forward with the construction of an environment and a system that permit all employees to demonstrate their full capabilities.
    Ex. Kuwait is not going backwards, but definitely not moving forward.
    Ex. Finally six men agreed to go forth in their underclothes and nooses around their necks in hopeful expectation that their sacrifice would satisfy the king's bloodlust and he would spare the rest of the citizens.
    Ex. Governments are making headway in negotiations aimed at reaching an ambitious and effective global greenhouse gas reduction treaty.
    ----
    * a medida que + avanzar + el año = as the year + wear on.
    * a medida que + avanzar + el día = as the day + wear on.
    * avanzar a duras penas = flounder, grind on.
    * avanzar a toda máquina = steam ahead, go + full steam ahead.
    * avanzar a toda mecha = go + full steam ahead.
    * avanzar a toda pastilla = steam ahead, go + full steam ahead.
    * avanzar a todo gas = steam ahead, go + full steam ahead.
    * avanzar a todo meter = go + full steam ahead.
    * avanzar a todo vapor = steam ahead, go + full steam ahead.
    * avanzar a trancas y barrancas = flounder, grind on.
    * avanzar a un ritmo vertiginoso = proceed + at a blistering pace.
    * avanzar con dificultad = wade through, limp, slog along, plod (along/through).
    * avanzar con gran dificultad = grind on.
    * avanzar en + Posesivo + trabajo = advance + Posesivo + work, advance + Posesivo + work.
    * avanzar en una carrera profesional = further + a career.
    * avanzar fácilmente = coast.
    * avanzar gradualmente (hacia) = edge (toward(s)).
    * avanzar hacia = move into, move toward(s).
    * avanzar hacia abajo = work + Posesivo + way down.
    * avanzar lentamente = creep, creep along.
    * avanzar lenta y pesadamente = trundle.
    * avanzar mucho = travel + a long way down the road.
    * avanzar muy despacio = creep, creep along.
    * avanzar poco a poco = shuffle along.
    * avanzar poco a poco (hacia) = edge (toward(s)).
    * avanzar profesionalmente dentro de la institución = rise through + the ranks.
    * avanzar rápidamente = gallop.
    * avanzar viento en popa = steam ahead.
    * conforme + avanzar + el año = as the year + wear on.
    * conforme + avanzar + el día = as the day + wear on.
    * dar vueltas sin avanzar = go round in + circles.
    * hacer avanzar = nudge + Nombre + forward, push + the frontiers of, nudge + Nombre + along, nudge + Nombre + into, push + the boundaries of.
    * hacer avanzar el conocimiento = push back + the frontiers of knowledge.
    * hacer avanzar hacia = nudge + Nombre + toward.
    * hacer que + Nombre + avance = take + Nombre + a/one step forward.
    * no avanzar = tread + water.
    * no avanzar más = go + no further.
    * que avanza lentamente = crawling.
    * que avanza rápidamente = fast-developing.
    * seguir avanzando = forge + ahead, forge + forward.
    * tiempo + avanzar inexorablemente = time + march on.
    * * *
    1.
    verbo intransitivo
    a) persona/tráfico to advance, move forward

    avanzar hacia la democracia — to move o advance toward(s) democracy

    b) ciencia/medicina to advance
    c) cinta/rollo to wind on
    d) persona (en los estudios, el trabajo) to make progress; negociaciones/proyecto to progress
    e) tiempo to draw on
    2.
    a) ( adelantarse) to move forward, advance
    b) ( mover) to move... forward, advance

    avanzó un peón — he moved o pushed a pawn forward

    c) < propuesta> to put forward
    * * *
    = gain + ground, get + far, go forward, make + gains, make + progress, move ahead, move on, move onwardly, move up, page (through), progress, advance, proceed, press on, come along, fast-forward, take + a step forward, get + ahead, move forward, make + step, take + strides, make + advances, develop, move along, get + unstuck, press forward (with), move + forward, go forth, make + headway.

    Ex: Standardisation of formats is less developed; however UNIMARC is gaining ground as a national exchange format, whilst USMARC is also used by university and public libraries.

    Ex: If scientific reasoning were limited to the logical processes of arithmetic, we should not get far in our understanding of the physical world.
    Ex: Thus, if you want to reply yes, enter a 'y'; if you want to go forward, enter 'f'.
    Ex: Expenditures in public libraries in the USA rose sharply in 1988 while use continued to make modest gains, with the greatest increase in juvenile loans.
    Ex: We could then simply alter our expectations accordingly, and exult in the progress we have made.
    Ex: It is impatient with Juctionville for its failure to move ahead as fast as it would like and is bothered by the city's drabness and general lack of class and culture.
    Ex: Rather readers grow by fits and starts now rushing ahead, now lying fallow, and now moving steadily on.
    Ex: In its simplest statement, the prime goal of any act of education is that it should serve us in the future... takes us somewhere... let us move onwardly more easily.
    Ex: Now we move up the chain providing index entries for each of the potentially sought terms.
    Ex: The system displays the records in brief format and the user can 'page' through the matches until the required record is found.
    Ex: It is normally taken to indicate that the document has been revised, if a work has progressed to a second or subsequent edition.
    Ex: All this is not to be impulsively regretted since specialized studies can advance in no other way, but synthesis becomes increasingly important and dishearteningly more difficult.
    Ex: Before we proceed to look at the operators in detail, a couple of examples may help to make the layout clearer.
    Ex: Hoping the gentler tone and the more relaxed manner meant that her anger was abating, the young man pressed on less apprehensively.
    Ex: However, we have not heard the final word by any means for there are new products and improved examples of existing products coming along.
    Ex: Modern machines have an automatic facility for fast-forward and rewind as well as a manual control for slower, more precise location of the required information on the microfilm.
    Ex: LCSH has taken a further step forward with the use of computer-controlled typesetting.
    Ex: Low-income urban families simply do not have any use for the traditional library or indeed any motivation for self-improvement and getting ahead = Las familias urbanas con ingresos bajos simplemente no tienen la necesidad de usar la biblioteca tradicional o de hecho no sienten motivación para la superación personal y para avanzar.
    Ex: This article argues the need to move forward with the infotech culture without abandoning the service culture.
    Ex: Schucking noted that early step when a child's 'imagination awakes, without corresponding development of the critical faculty,' a step most children make before they reach school age = Schucking se percató de ese primer paso en el niño cuando "se despierta su imaginación sin el correspondiente desarrollo de la capacidad crítica", un paso que dan la mayoría de los niños antes de alcanzar la edad escolar.
    Ex: In the half century since the publication of McKerrow's Introduction bibliography has taken giant strides in many directions.
    Ex: The author maintains that, aside from increasing computational speed, and thus real-time control, musically no advances have been made.
    Ex: The economics journal system has not grown and developed in a structured fashion, which has resulted in overspill into report literature.
    Ex: As university libraries move along this continuum they will become evolutionary, non-hierarchical, entrepreneurial and horizontal.
    Ex: In addition, students can use the glossary to get 'unstuck' while learning.
    Ex: The company is pressing forward with the construction of an environment and a system that permit all employees to demonstrate their full capabilities.
    Ex: Kuwait is not going backwards, but definitely not moving forward.
    Ex: Finally six men agreed to go forth in their underclothes and nooses around their necks in hopeful expectation that their sacrifice would satisfy the king's bloodlust and he would spare the rest of the citizens.
    Ex: Governments are making headway in negotiations aimed at reaching an ambitious and effective global greenhouse gas reduction treaty.
    * a medida que + avanzar + el año = as the year + wear on.
    * a medida que + avanzar + el día = as the day + wear on.
    * avanzar a duras penas = flounder, grind on.
    * avanzar a toda máquina = steam ahead, go + full steam ahead.
    * avanzar a toda mecha = go + full steam ahead.
    * avanzar a toda pastilla = steam ahead, go + full steam ahead.
    * avanzar a todo gas = steam ahead, go + full steam ahead.
    * avanzar a todo meter = go + full steam ahead.
    * avanzar a todo vapor = steam ahead, go + full steam ahead.
    * avanzar a trancas y barrancas = flounder, grind on.
    * avanzar a un ritmo vertiginoso = proceed + at a blistering pace.
    * avanzar con dificultad = wade through, limp, slog along, plod (along/through).
    * avanzar con gran dificultad = grind on.
    * avanzar en + Posesivo + trabajo = advance + Posesivo + work, advance + Posesivo + work.
    * avanzar en una carrera profesional = further + a career.
    * avanzar fácilmente = coast.
    * avanzar gradualmente (hacia) = edge (toward(s)).
    * avanzar hacia = move into, move toward(s).
    * avanzar hacia abajo = work + Posesivo + way down.
    * avanzar lentamente = creep, creep along.
    * avanzar lenta y pesadamente = trundle.
    * avanzar mucho = travel + a long way down the road.
    * avanzar muy despacio = creep, creep along.
    * avanzar poco a poco = shuffle along.
    * avanzar poco a poco (hacia) = edge (toward(s)).
    * avanzar profesionalmente dentro de la institución = rise through + the ranks.
    * avanzar rápidamente = gallop.
    * avanzar viento en popa = steam ahead.
    * conforme + avanzar + el año = as the year + wear on.
    * conforme + avanzar + el día = as the day + wear on.
    * dar vueltas sin avanzar = go round in + circles.
    * hacer avanzar = nudge + Nombre + forward, push + the frontiers of, nudge + Nombre + along, nudge + Nombre + into, push + the boundaries of.
    * hacer avanzar el conocimiento = push back + the frontiers of knowledge.
    * hacer avanzar hacia = nudge + Nombre + toward.
    * hacer que + Nombre + avance = take + Nombre + a/one step forward.
    * no avanzar = tread + water.
    * no avanzar más = go + no further.
    * que avanza lentamente = crawling.
    * que avanza rápidamente = fast-developing.
    * seguir avanzando = forge + ahead, forge + forward.
    * tiempo + avanzar inexorablemente = time + march on.

    * * *
    avanzar [A4 ]
    vi
    1 «tropas/persona/tráfico» to advance, move forward avanzar HACIA algo:
    las tropas avanzan hacia la capital the troops are advancing on the capital
    el país avanza hacia la democracia the country is moving o advancing toward(s) democracy
    2 ( Fot) «rollo» to wind on
    3 «persona» (en los estudios, el trabajo) to make progress; «negociaciones/proyecto» to progress
    no estoy avanzando mucho con este trabajo I'm not making much progress o headway o I'm not getting very far with this work
    4 «tiempo» to draw on
    ■ avanzar
    vt
    1 (adelantarse) to move forward, advance
    avanzaron unos pasos they moved forward o advanced a few steps, they took a few steps forward
    2 (mover) to move … forward, advance
    avanzó un peón he moved o pushed a pawn forward, he advanced a pawn
    3 ‹propuesta› to put forward
    * * *

     

    avanzar ( conjugate avanzar) verbo intransitivo
    a) [persona/tráfico] to advance, move forward

    b) [ciencia/medicina] to advance

    c) [cinta/rollo] to wind on

    d) [ persona] (en los estudios, el trabajo) to make progress;

    [negociaciones/proyecto] to progress

    verbo transitivo

    b) ( mover) to move … forward, advance

    avanzar verbo transitivo to advance, make progress
    ' avanzar' also found in these entries:
    Spanish:
    sacudida
    - salto
    - tantear
    - adelantar
    English:
    advance
    - come forward
    - crawl
    - edge
    - freewheel
    - go forward
    - headway
    - move
    - move along
    - pace
    - proceed
    - progress
    - struggle along
    - struggle on
    - surge
    - wind
    - fast
    - head
    - hover
    - inch
    - lumber
    - scroll
    - somewhere
    * * *
    ♦ vi
    1. [moverse] to advance;
    las tropas continúan avanzando the troops are still advancing;
    el tráfico no avanzaba the traffic wasn't moving
    2. [progresar] to make progress;
    está avanzando mucho en sus estudios she's making very good progress with her studies;
    esta tecnología avanza a gran velocidad this technology is developing very quickly
    3. [tiempo] to pass;
    el tiempo avanza muy deprisa time passes very quickly;
    a medida que avanza el siglo as the century draws on
    4. [carrete] to wind on
    ♦ vt
    1. [adelantar] to move forward;
    las tropas avanzaron sus posiciones the troops advanced their position;
    avanzaron varias posiciones en la clasificación de liga they moved up several places in the league
    2. [noticias]
    avanzar algo a alguien to inform sb of sth in advance;
    les avanzó los resultados del estudio she informed them of the results of the study before it was published
    3. [carrete] to wind on
    * * *
    I v/t
    1 move forward, advance;
    avanzar un pie take a step forward
    2 dinero advance
    II v/i
    1 advance, move forward; MIL advance ( hacia on)
    2 en trabajo make progress
    * * *
    avanzar {21} v
    : to advance, to move forward
    * * *
    1. (progresar) to make progress / to get on
    2. (ir hacia delante) to advance / to move forward

    Spanish-English dictionary > avanzar

  • 4 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

  • 5 Cognitive Science

       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.... [P]eople and intelligent computers turn out to be merely different manifestations of the same underlying phenomenon. (Haugeland, 1981b, p. 31)
       2) Experimental Psychology, Theoretical Linguistics, and Computational Simulation of Cognitive Processes Are All Components of Cognitive Science
       I went away from the Symposium with a strong conviction, more intuitive than rational, that human experimental psychology, theoretical linguistics, and computer simulation of cognitive processes were all pieces of a larger whole, and that the future would see progressive elaboration and coordination of their shared concerns.... I have been working toward a cognitive science for about twenty years beginning before I knew what to call it. (G. A. Miller, 1979, p. 9)
        Cognitive Science studies the nature of cognition in human beings, other animals, and inanimate machines (if such a thing is possible). While computers are helpful within cognitive science, they are not essential to its being. A science of cognition could still be pursued even without these machines.
        Computer Science studies various kinds of problems and the use of computers to solve them, without concern for the means by which we humans might otherwise resolve them. There could be no computer science if there were no machines of this kind, because they are indispensable to its being. Artificial Intelligence is a special branch of computer science that investigates the extent to which the mental powers of human beings can be captured by means of machines.
       There could be cognitive science without artificial intelligence but there could be no artificial intelligence without cognitive science. One final caveat: In the case of an emerging new discipline such as cognitive science there is an almost irresistible temptation to identify the discipline itself (as a field of inquiry) with one of the theories that inspired it (such as the computational conception...). This, however, is a mistake. The field of inquiry (or "domain") stands to specific theories as questions stand to possible answers. The computational conception should properly be viewed as a research program in cognitive science, where "research programs" are answers that continue to attract followers. (Fetzer, 1996, pp. xvi-xvii)
       What is the nature of knowledge and how is this knowledge used? These questions lie at the core of both psychology and artificial intelligence.
       The psychologist who studies "knowledge systems" wants to know how concepts are structured in the human mind, how such concepts develop, and how they are used in understanding and behavior. The artificial intelligence researcher wants to know how to program a computer so that it can understand and interact with the outside world. The two orientations intersect when the psychologist and the computer scientist agree that the best way to approach the problem of building an intelligent machine is to emulate the human conceptual mechanisms that deal with language.... The name "cognitive science" has been used to refer to this convergence of interests in psychology and artificial intelligence....
       This working partnership in "cognitive science" does not mean that psychologists and computer scientists are developing a single comprehensive theory in which people are no different from machines. Psychology and artificial intelligence have many points of difference in methods and goals.... We simply want to work on an important area of overlapping interest, namely a theory of knowledge systems. As it turns out, this overlap is substantial. For both people and machines, each in their own way, there is a serious problem in common of making sense out of what they hear, see, or are told about the world. The conceptual apparatus necessary to perform even a partial feat of understanding is formidable and fascinating. (Schank & Abelson, 1977, pp. 1-2)
       Within the last dozen years a general change in scientific outlook has occurred, consonant with the point of view represented here. One can date the change roughly from 1956: in psychology, by the appearance of Bruner, Goodnow, and Austin's Study of Thinking and George Miller's "The Magical Number Seven"; in linguistics, by Noam Chomsky's "Three Models of Language"; and in computer science, by our own paper on the Logic Theory Machine. (Newell & Simon, 1972, p. 4)

    Historical dictionary of quotations in cognitive science > Cognitive Science

  • 6 Napier, David

    SUBJECT AREA: Paper and printing
    [br]
    b. 1785 Scotland
    d. 1873
    [br]
    Scottish engineer who devised printing machinery incorporating important improvements.
    [br]
    Born in Scotland, Napier moved to London to set up an engineering workshop in St Giles. In 1824 he was commissioned by Thomas Curson Hansard (1776–1833), who from 1803 began printing the debates in the Houses of Parliament, to make a perfecting press, i.e. one that printed on both sides of the paper. Known as the NayPeer, it was the first to incorporate grippers in order to improve register (the correct positioning of the paper on the inked type); the grippers took hold of a sheet of paper as it was fed on to the impression cylinder. Napier made several machines for Hansard, hand-powered at first but steam-powered from 1832. Napier did not patent the Nay-Peer, but in 1828 he took out a patent for a four-feeder press with a single impression cylinder, which had the then-usual "stop and start" action while the bed carrying the inked type passed to and fro beneath it. To speed output, two years later Napier patented a press with two cylinders revolving in the same direction in place of the single-stop cylinder. Also in 1830, the firm of Napier and Son introduced an improved form of bed and platen press, which became the most popular of its kind; one remained in use at Oxford University Press into the twentieth century. Another invention of Napier's, in 1825, was an automatic inking device, with which turning the rounce or mechanism for moving the type bed under the platen activated inking rollers working on the type. Napier is credited with being the first to introduce the printing machine to Ireland, for the Dublin Evening Post. His cylinder machine was the first of its kind in North America, where it was seen by Hoe and others.
    [br]
    Further Reading
    J.Moran, 1973, PrintingPresses, London: Faber \& Faber (contains details of Napier's printing machines).
    LRD

    Biographical history of technology > Napier, David

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