develop ways

group-based training designed to help participants develop interpersonal skills (see interpersonal communication). Sensitivity training is a form of human relations training, and was developed by Kurt Lewin, and others at the National Training Laboratory in the United States during the 1940s. The format most commonly used is a training group, or T-Group, consisting of between 7 and 12 people who meet together over a period of about two weeks, normally at a residential training center. The aims are to develop sensitivity and awareness of participants’ own feelings and reactions, to increase their understanding of group dynamics, and to help them learn to adapt their behavior in appropriate ways. Group activities may include discussion, games, and exercises but may also be relatively unstructured. The provision of feedback is a key feature. This type of training has been controversial, as the group interactions can be confrontational, and some have suggested that participants could suffer emotional harm. The popularity of T-Groups has declined since the 1960s and 1970s. Sensitivity training is also known as laboratory training. This term emphasizes the way participants are placed in an environment in which different ways of interacting can be tried out. Lewin’s early work in this field was developed at the National Training Laboratories, founded in 1947, in the United States.

a list of people created for the purpose of networking, job searching, and marketing and selling products and services.

     Someone wanting to expand and develop their contact list should seek to do so both inside and outside the organization they work for. Joining professional associations and volunteering for committees are good ways of doing this. Building relationships can take time, and it is better to do this before going to someone for help. It is also important that the relationships are reciprocal; someone building a contact list should think about what they can offer to their contacts, as well as what their contacts can do for them.

     A contact list should cover three basic types of network: the personal (friends, family, church, local community), the professional (current and former colleagues, supervisors, teachers, customers, consultants, members of professional organizations), and the work life network (executive recruiters, college placement officers, career counselors). A good system is needed for keeping track of these contacts, their details (including personal information), and any correspondence with them. Keeping in regular contact with them is vital, and finding ways to thank them for their help will ensure good future relations.

SUBJECT AREA: Photography, film and optics

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Both from distinguished musical families, Godowsky and Leopold Damrosch Mannes met at Riverdale School in New York in 1916, and shared an interest in photography. They began experiments in methods of additive colour photography, gaining a patent for a three-colour projector. Godowsky went to the University of California to study chemistry, physics and mathematics, while working as a professional violinist; Mannes, a pianist, went to Harvard to study music and physics. They kept in touch, and after graduating they joined up in New York, working as musicians and experimenting in colour photography in their spare time.

Initially working in kitchens and bathrooms, they succeeded in creating a two-layer colour photographic plate, with emulsions separately sensitized to parts of the spectrum, and patented the process. This achievement was all the greater since they were unable to make the emulsions themselves and had to resort to buying commercial photographic plates so that they could scrape off the emulsions, remelt them and coat their experimental materials. In 1922 their work came to the attention of C.E.K. Mees, the leading photographic scientist and Director of the Eastman Kodak Research Laboratory in Rochester, New York. Mees arranged for plates to be coated to their specifications. With a grant from Kuhn, Loeb \& Co. they were able to rent laboratory space. Learning of Rudolf Fischer's early work on dye couplers, they worked to develop a new process incorporating them. Mees saw that their work, however promising, would not develop in an amateur laboratory, and in 1930 he invited them to join the Kodak Research Laboratory, where they arrived on 15 June 1931. Their new colleagues worked on ways of coating multi-layer film, while Mannes and Godowsky worked out a method of separately processing the individual layers in the exposed film. The result was Kodachrome film, the first of the modern integral tripack films, launched on 15 April 1935.

They remained with Eastman Kodak until December 1939; their work contributed to the later appearance of Ektachrome colour-reversal film and the Kodacolor and Eastman Color negative-positive colour processes. Mannes became the Director of his father's Music Academy in New York, remaining as such until his death in 1964. Godowsky returned to Westport, Connecticut, and continued to study mathematics at Columbia University. He carried out photographic research un his private laboratory up until the time of his death in 1983.

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стратегия; см. тж. doctrine, concept, policy

— acceptable risk strategy

— accomplished fact strategy

— action-reaction strategy

— active counteraction strategy

— adopt a strategy

— aerospace strategy

— air strategy

— alliance strategy

— allied strategy

— all-out war strategy

— ambiguity strategy

— annihilation strategy

— appropriate reaction strategy

— appropriate response strategy

— area pressure strategy

— asymmetrical containment strategy

— Atlantic strategy

— attrition strategy

— balance of power strategy

— base strategy

— beheading strategy

— block strategy

— Blue Water strategy

— breakthrough strategy

— broad front strategy

— carry out the national military strategy

— coalition defense strategy

— coalition strategy

— conflict strategy

— containment strategy

— continental strategy

— controlled response strategy

— counter containment strategy

— crisis prevention strategy

— dagger-at-the-underbelly strategy

— damage-limiting strategy

— decapitation strategy

— deep-sea strategy

— defense strategy

— defensive strategy

— deferring aggression strategy

— destruction strategy

— deterrence strategy

— deterrent strategy

— develop a strategy

— direct confrontation strategy

— direct strategy

— dissuasion strategy

— double thrust strategy

— facing-all-ways defense strategy

— first-strike strategy

— flexible operations strategy

— flexible option strategy

— flexible reaction strategy

— flexible response counterforce strategy

— flexible response strategy

— force projection strategy

— fortress America strategy

— forward technology strategy

— global strategy

— grab and hold strategy

— graduated response strategy

— grand strategy

— high-cost-of-entry strategy

— high-risk strategy

— independent defense strategy

— indirect strategy

— ink spot strategy

— interventionist strategy

— limited strike strategy

— limited war strategy

— low-risk strategy

— maritime strategy

— massive long-range bombing strategy

— military alliance strategy

— military strategy

— minimax strategy

— minimum deterrence strategy

— minimum medium risk strategy

— mini-nuke strategy

— minor strategy

— missile strategy

— mixed strategy

— multioption nuclear strategy

— multiside selection strategy

— mutual devastation strategy

— mutual-deterrence strategy

— national coordinative operational military strategy

— national security strategy

— national strategy

— naval strategy

— no cities strategy

— nonnuclear strategy

— non-war strategy

— nuclear all-or-nothing strategy

— nuclear option strategy

— nuclear strategy

— nuclear targeting strategy

— nutcracker strategy

— ocean strategy

— offense-only strategy

— offensive forward strategy

— offensive strategy

— operational strategy

— out of city strategy

— Pacific strategy

— peripheral strategy

— phase strategy

— pragmatic strategy

— pre-nuclear strategy

— protracted limited nuclear war strategy

— quiet creeping counterrevolution strategy

— realistic containment strategy

— realistic deterrence strategy

— redirection strategy

— retaliation strategy

— retaliatory strategy

— selective option strategy

— shield and sword strategy

— single weapon strategy

— single-thrust strategy

— sister-city strategy

— small strategy

— space strategy

— stable deterrence strategy

— stalemate strategy

— strike second strategy

— strike-back only strategy

— superior counteraction strategy

— symmetrical containment strategy

— tactical nuclear strategy

— tactical strategy

— total force strategy

— total strategy

— total war strategy

— transmission time strategy

— trigger strategy

— two-up-one-back strategy

— victory-through-airpower strategy

— war-fighting strategy

— war-winning strategy

— wearing-out strategy

work [wɜ:k]

travail ⇒ 1 (a)-(e), 1 (g) œuvre ⇒ 1 (a), 1 (f) besogne ⇒ 1 (b) emploi ⇒ 1 (c) ouvrage ⇒ 1 (f) recherches ⇒ 1 (g) travailler ⇒ 2A (a)-(e), 3A (b), 3A (c), 3A (e), 3C (a) fonctionner ⇒ 2B (a) marcher ⇒ 2B (a), 2B (b) réussir ⇒ 2B (b) agir ⇒ 2B (c), 2B (d) faire travailler ⇒ 3A (a) faire marcher ⇒ 3B (a) façonner ⇒ 3C (a) mécanisme ⇒ 4 1 (a) travaux ⇒ 4 1 (b) usine ⇒ 4 2 (a)

1 noun

(a) (effort, activity) travail m, œuvre f;

∎ computers take some of the work out of filing les ordinateurs facilitent le classement;

∎ this report needs more work il y a encore du travail à faire sur ce rapport, ce rapport demande plus de travail;

∎ she's done a lot of work for charity elle a beaucoup travaillé pour des associations caritatives;

∎ it will take a lot of work to make a team out of them ça va être un drôle de travail de faire d'eux une équipe;

∎ keep up the good work! continuez comme ça!;

∎ nice or good work! c'est du bon travail!, bravo!;

∎ that's fine work or a fine piece of work c'est du beau travail;

∎ your work has been useful vous avez fait du travail utile;

∎ work on the tunnel is to start in March (existing tunnel) les travaux sur le tunnel doivent commencer en mars; (new tunnel) la construction du tunnel doit commencer en mars;

∎ work in progress Administration travail en cours; Accountancy travaux mpl en cours, inventaire m de production; (sign) travaux en cours;

∎ she put a lot of work into that book elle a beaucoup travaillé sur ce livre;

∎ to make work for sb compliquer la vie à qn;

∎ to start work, to set to work se mettre au travail;

∎ she set or she went to work on the contract elle a commencé à travailler sur le contrat;

∎ he set to work undermining their confidence il a entrepris de saper leur confiance;

∎ I set him to work (on) painting the kitchen je lui ai donné la cuisine à peindre;

∎ they put him to work in the kitchen ils l'ont mis au travail dans la cuisine;

∎ let's get (down) to work! (mettons-nous) au travail!;

∎ proverb all work and no play makes Jack a dull boy beaucoup de travail et peu de loisirs ne réussissent à personne

(b) (duty, task) travail m, besogne f;

∎ I've got loads of work to do j'ai énormément de travail à faire;

∎ she gave us too much work elle nous a donné trop de travail;

∎ he's trying to get some work done il essaie de travailler un peu;

∎ they do their work well ils travaillent bien, ils font du bon travail;

∎ it's hard work c'est du travail, ce n'est pas facile;

∎ it's thirsty work ça donne soif;

∎ to make short or light work of sth expédier qch;

∎ figurative to make short work of sb ne faire qu'une bouchée de qn;

∎ familiar it's nice work if you can get it! c'est une bonne planque, encore faut-il la trouver!

(c) (paid employment) travail m, emploi m;

∎ what (kind of) work do you do? qu'est-ce que vous faites dans la vie?, quel travail faites-vous?;

∎ I do translation work je suis traducteur, je fais des traductions;

∎ to find work trouver du travail;

∎ to look for work chercher du travail ou un emploi;

∎ to be in work travailler, avoir un emploi;

∎ to be out of work être au chômage ou sans travail ou sans emploi;

∎ he had a week off work (holiday) il a pris une semaine de vacances; (illness) il n'est pas allé au travail pendant une semaine;

∎ to take time off work prendre des congés;

∎ she's off work today elle ne travaille pas aujourd'hui;

∎ to do a full day's work faire une journée entière de travail;

∎ people out of work (gen) les chômeurs mpl; Administration & Economics les inactifs mpl

(d) (place of employment) travail m; Administration lieu m de travail;

∎ I go to work by bus je vais au travail en bus;

∎ I'm late for work je suis en retard pour le travail;

∎ he's a friend from work c'est un collègue;

∎ where is your (place of) work? où travaillez-vous?, quel est votre lieu de travail?;

∎ on her way home from work en rentrant du travail

(e) (papers, material etc being worked on) travail m;

∎ to take work home prendre du travail à la maison;

∎ her work was all over the table son travail était étalé sur la table

(f) (creation, artefact etc) œuvre f; (on smaller scale) ouvrage m; Sewing ouvrage m;

∎ it's all my own work j'ai tout fait moi-même;

∎ it's an interesting piece of work (gen) c'est un travail intéressant; Art, Literature & Music c'est une œuvre intéressante;

∎ very detailed/delicate work (embroidery, carving etc) ouvrage très détaillé/délicat;

∎ these formations are the work of the wind ces formations sont l'œuvre du vent;

∎ the silversmith sells much of his work to hotels l'orfèvre vend une grande partie de ce qu'il fait ou de son travail à des hôtels;

∎ the complete works of Shakespeare les œuvres complètes ou l'œuvre de Shakespeare;

∎ a new work on Portugal un nouvel ouvrage sur le Portugal;

∎ a work of art une œuvre d'art;

∎ works of fiction des ouvrages de fiction

(g) (research) travail m, recherches fpl;

∎ there hasn't been a lot of work done on the subject peu de travail a été fait ou peu de recherches ont été faites sur le sujet

(h) (deed) œuvre f, acte m;

∎ good works bonnes œuvres fpl;

∎ each man will be judged by his works chaque homme sera jugé selon ses œuvres;

∎ charitable works actes mpl de charité, actes mpl charitables;

∎ the murder is the work of a madman le meurtre est l'œuvre d'un fou

(i) (effect) effet m;

∎ wait until the medicine has done its work attendez que le médicament ait agi ou ait produit son effet

(j) Physics travail m

2 intransitive verb

A.

(a) (exert effort on a specific task, activity etc) travailler;

∎ we worked for hours cleaning the house nous avons passé des heures à faire le ménage;

∎ they worked in the garden ils ont fait du jardinage;

∎ we work hard nous travaillons dur;

∎ she's working on a novel just now elle travaille à un roman en ce moment;

∎ a detective is working on this case un détective est sur cette affaire;

∎ he works at or on keeping himself fit il fait de l'exercice pour garder la forme;

∎ we have to work to a deadline nous devons respecter des délais dans notre travail;

∎ we have to work to a budget nous devons travailler avec un certain budget;

∎ I've worked with the handicapped before j'ai déjà travaillé avec les handicapés;

∎ I work with the Spanish on that project je travaille (en collaboration) avec les Espagnols sur ce projet

(b) (be employed) travailler;

∎ he works as a teacher il a un poste d'enseignant;

∎ I work in advertising je travaille dans la publicité;

∎ who do you work for? chez qui est-ce que vous travaillez?;

∎ she works in or for a bank elle travaille dans ou pour une banque;

∎ I work a forty-hour week je travaille quarante heures par semaine, je fais une semaine de quarante heures;

∎ to work for a living travailler pour gagner sa vie;

∎ Industry to work to rule faire la grève du zèle

(c) (strive for a specific goal or aim)

∎ to work for a good cause travailler pour une bonne cause;

∎ they're working for better international relations ils s'efforcent d'améliorer les relations internationales

(d) (study) travailler, étudier;

∎ you're going to have to work if you want to pass the exam il va falloir que tu travailles ou que tu étudies si tu veux avoir ton examen

(e) (use a specified substance) travailler;

∎ this sculptor works in or with copper ce sculpteur travaille avec le cuivre;

∎ she has always worked in or with watercolours elle a toujours travaillé avec de la peinture à l'eau

B.

(a) (function, operate → machine, brain, system) fonctionner, marcher;

∎ the lift doesn't work at night l'ascenseur ne marche pas la nuit;

∎ the lift never works l'ascenseur est toujours en panne;

∎ the radio works off batteries la radio fonctionne avec des piles;

∎ a pump worked by hand une pompe actionnée à la main ou manuellement;

∎ they soon got or had it working ils sont vite parvenus à le faire fonctionner;

∎ she sat still, her brain or her mind working furiously elle était assise immobile, le cerveau en ébullition;

∎ figurative everything worked smoothly tout s'est déroulé comme prévu;

∎ your idea just won't work ton idée ne peut pas marcher;

∎ this relationship isn't working cette relation ne marche pas;

∎ that argument works both ways ce raisonnement est à double tranchant;

∎ how does the law work exactly? comment la loi fonctionne-t-elle exactement?

(b) (produce results, succeed) marcher, réussir;

∎ it worked brilliantly ça a très bien marché;

∎ their scheme didn't work leur complot a échoué;

∎ that/flattery won't work with me ça/la flatterie ne prend pas avec moi

(c) (drug, medicine) agir, produire ou faire son effet

(d) (act) agir;

∎ the acid works as a catalyst l'acide agit comme ou sert de catalyseur;

∎ events have worked against us/in our favour les événements ont agi contre nous/en notre faveur;

∎ I'm working on the assumption that they'll sign the contract je pars du principe qu'ils signeront le contrat

C.

(a) (reach a condition or state gradually)

∎ to work loose se desserrer;

∎ to work free se libérer;

∎ the nail worked through the sole of my shoe le clou est passé à travers la semelle de ma chaussure

(b) (face, mouth) se contracter, se crisper

(c) (ferment) fermenter

3 transitive verb

A.

(a) (worker, employee, horse) faire travailler;

∎ the boss works his staff hard le patron exige beaucoup de travail de ses employés;

∎ you work yourself too hard tu te surmènes;

∎ to work oneself to death se tuer à la tâche;

∎ to work one's fingers to the bone s'user au travail

(b) (pay for with labour or service)

∎ they worked their passage to India ils ont payé leur passage en Inde en travaillant;

∎ I worked my way through college j'ai travaillé pour payer mes études à l'université

(c) (carry on activity in)

∎ he works the southern sales area il travaille pour le service commercial de la région sud;

∎ the pollster worked both sides of the street le sondeur a enquêté des deux côtés de la rue;

∎ figurative the candidate worked the crowd le candidat s'efforçait de soulever l'enthousiasme de la foule;

∎ a real-estate agent who works the phones un agent immobilier qui fait de la prospection par téléphone;

∎ she works the bars (prostitute) elle travaille dans les bars

(d) (achieve, accomplish)

∎ the new policy will work major changes la nouvelle politique opérera ou entraînera des changements importants;

∎ the story worked its magic or its charm on the public l'histoire a enchanté le public;

∎ to work a spell on sb jeter un sort à qn;

∎ to work miracles faire ou accomplir des miracles;

∎ to work wonders faire merveille;

∎ she has worked wonders with the children elle a fait des merveilles avec les enfants

(e) (make use of, exploit → land) travailler, cultiver; (→ mine, quarry) exploiter, faire valoir

B.

(a) (operate) faire marcher, faire fonctionner;

∎ this switch works the furnace ce bouton actionne ou commande la chaudière;

∎ he knows how to work the drill il sait se servir de la perceuse

(b) (manoeuvre)

∎ I worked the handle up and down j'ai remué la poignée de haut en bas;

∎ to work one's hands free parvenir à dégager ses mains;

∎ she worked the ropes loose elle a réussi à desserrer les cordes petit à petit

(c) (by slow progression)

∎ I worked my way along the ledge j'ai longé la saillie avec précaution;

∎ he worked his way down/up the cliff il a descendu/monté la falaise lentement;

∎ the beggar worked his way towards us le mendiant s'est approché de nous;

∎ they worked their way through the list ils ont traité chaque élément de la liste tour à tour;

∎ he's worked his way through the whole grant il a épuisé toute la subvention;

∎ a band of rain working its way across the country un front de pluie qui traverse le pays;

∎ they have worked themselves into a corner ils se sont mis dans une impasse

(d) familiar (contrive) s'arranger;

∎ she managed to work a few days off elle s'est arrangée ou s'est débrouillée pour avoir quelques jours de congé;

∎ I worked it or worked things so that she's never alone j'ai fait en sorte qu'elle ou je me suis arrangé pour qu'elle ne soit jamais seule

C.

(a) (shape → leather, metal, stone) travailler, façonner; (→ clay, dough) travailler, pétrir; (→ object, sculpture) façonner; Sewing (design, initials) broder;

∎ she worked the silver into earrings elle a travaillé l'argent pour en faire des boucles d'oreilles;

∎ she worked a figure out of the wood elle a sculpté une silhouette dans le bois;

∎ the flowers are worked in silk les fleurs sont brodées en soie;

∎ work the putty into the right consistency travaillez le mastic pour lui donner la consistance voulue

(b) (rub)

∎ gently work the cream into your hands massez-vous les mains pour faire pénétrer la crème;

∎ work the dye into the surface of the leather faites pénétrer la teinture dans le cuir

(c) (excite, provoke)

∎ the orator worked the audience into a frenzy l'orateur a enflammé ou a galvanisé le public;

∎ she worked herself into a rage elle s'est mise dans une colère noire

4 works

1 plural noun

(a) (mechanism) mécanisme m, rouages mpl; (of clock) mouvement m;

∎ familiar to foul up or to gum up the works tout foutre en l'air

(b) Building industry travaux mpl; (installation) installations fpl;

∎ road works travaux mpl; (sign) travaux;

∎ Minister/Ministry of Works ministre m/ministère m des Travaux publics

2 noun

(a) Industry (factory) usine f;

∎ a printing works une imprimerie;

∎ a gas works une usine à gaz;

∎ price ex works prix m sortie usine

(b) familiar (everything)

∎ the (whole) works tout le bataclan ou le tralala;

∎ they had eggs, bacon, toast, the works ils mangeaient des œufs, du bacon, du pain grillé, tout, quoi!;

∎ American to shoot the works jouer le grand jeu;

∎ American we shot the works on the project nous avons mis le paquet sur le projet;

∎ to give sb the works (special treatment) dérouler le tapis rouge pour qn; (beating) passer qn à tabac

5 at work

1 adjective

(a) (person)

∎ to be at work on sth/(on) doing sth travailler (à) qch/à faire qch;

∎ he's at work on a new book il travaille à un nouveau livre;

∎ they're hard at work painting the house ils sont en plein travail, ils repeignent la maison

(b) (having an effect)

∎ there are several factors at work here il y a plusieurs facteurs qui entrent en jeu ou qui jouent ici;

∎ there are evil forces at work des forces mauvaises sont en action

2 adverb

(at place of work)

∎ she's at work (gen) elle est au travail; (office) elle est au bureau; (factory) elle est à l'usine;

∎ I'll phone you at work je t'appellerai au travail;

∎ we met at work on s'est connus au travail

►► work area (in school, home) coin m de travail; Computing zone f de travail;

works band fanfare m (d'une entreprise);

work camp (prison) camp m de travail; (voluntary) chantier m de travail;

American work coat blouse f;

works committee, works council comité m d'entreprise;

work ethic = exaltation des valeurs liées au travail;

work experience stage m (en entreprise);

∎ the course includes two months' work experience le programme comprend un stage en entreprise de deux mois;

American work farm = camp de travail forcé où les détenus travaillent la terre;

Computing work file fichier m de travail;

work flow déroulement m des opérations;

work group groupe m de travail;

works manager directeur(trice) m,f d'usine;

work party (of soldiers) escouade f; (of prisoners) groupe m de travail;

work permit permis m de travail;

Computing work sheet feuille f de travail;

work space (at home) coin-travail m; (in office) & Computing espace m de travail;

∎ I need more work space j'ai besoin de plus d'espace pour travailler;

work surface surface f de travail;

American work week semaine f de travail

➲ work away intransitive verb

travailler;

∎ while he worked away at fixing the furnace tandis qu'il travaillait à réparer la chaudière;

∎ we worked away all evening nous avons passé la soirée à travailler

➲ work down intransitive verb

glisser;

∎ her socks had worked down around her ankles ses chaussettes étaient tombées sur ses chevilles

➲ work in separable transitive verb

(a) (incorporate) incorporer;

∎ work the ointment in thoroughly faites bien pénétrer la pommade;

∎ Cookery work the butter into the flour incorporez le beurre à la farine

(b) (insert) faire entrer ou introduire petit à petit;

∎ he worked in a few sly remarks about the boss il a réussi à glisser quelques réflexions sournoises sur le patron;

∎ I'll try and work the translation in some time this week (into schedule) j'essayerai de (trouver le temps de) faire la traduction dans le courant de la semaine

➲ work off separable transitive verb

(a) (dispose of → fat, weight) se débarrasser de, éliminer; (→ anxiety, frustration) passer, assouvir;

∎ I worked off my excess energy chopping wood j'ai dépensé mon trop-plein d'énergie en cassant du bois;

∎ he worked off his tensions by running il s'est défoulé en faisant du jogging;

∎ to work off one's anger on sb passer sa colère sur qn

(b) (debt, obligation)

∎ it took him three months to work off his debt il a dû travailler trois mois pour rembourser son emprunt

➲ work on

1 inseparable transitive verb

(a) (person) essayer de convaincre;

∎ we've been working on him but he still won't go nous avons essayé de le persuader mais il ne veut toujours pas y aller;

∎ I'll work on her je vais m'occuper d'elle

(b) (task, problem)

∎ the police are working on who stole the jewels la police s'efforce de retrouver celui qui a volé les bijoux;

∎ he's been working on his breaststroke/emotional problems il a travaillé sa brasse/essayé de résoudre ses problèmes sentimentaux;

∎ have you got any ideas? - I'm working on it as-tu des idées? - je cherche

(c) (use as basis)

∎ have you any data to work on? avez-vous des données sur lesquelles vous fonder?

2 intransitive verb

(continue to work) continuer à travailler

➲ work out

1 separable transitive verb

(a) (discharge fully) acquitter en travaillant;

∎ to work out one's notice faire son préavis

(b) (calculate → cost, distance, sum) calculer; (→ answer, total) trouver;

∎ I work it out at £22 d'après mes calculs, ça fait 22 livres

(c) (solve → calculation, problem) résoudre; (→ puzzle) faire, résoudre; (→ code) déchiffrer;

∎ have they worked out their differences? est-ce qu'ils ont réglé ou résolu leurs différends?;

∎ I'm sure we can work this thing out (your problem) je suis sûr que nous pouvons arranger ça; (our argument) je suis sûr que nous finirons par nous mettre d'accord;

∎ things will work themselves out les choses s'arrangeront toutes seules ou d'elles-mêmes

(d) (formulate → idea, plan) élaborer, combiner; (→ agreement, details) mettre au point;

∎ to work out a solution trouver une solution;

∎ have you worked out yet when it's due to start? est-ce que tu sais quand ça doit commencer?;

∎ she had it all worked out elle avait tout planifié;

∎ we worked out an easier route nous avons trouvé un itinéraire plus facile

(e) (figure out) arriver à comprendre;

∎ I finally worked out why he was acting so strangely j'ai enfin découvert ou compris pourquoi il se comportait si bizarrement;

∎ the dog had worked out how to open the door le chien avait compris comment ouvrir la porte;

∎ I can't work her out je n'arrive pas à la comprendre;

∎ I can't work their relationship out leurs rapports me dépassent

(f) (mine, well) épuiser

2 intransitive verb

(a) (happen) se passer;

∎ it depends on how things work out ça dépend de la façon dont les choses se passent;

∎ the trip worked out as planned le voyage s'est déroulé comme prévu;

∎ I wonder how it will all work out je me demande comment tout cela va s'arranger;

∎ it all worked out for the best tout a fini par s'arranger pour le mieux;

∎ but it didn't work out that way mais il en a été tout autrement;

∎ it worked out badly for them les choses ont mal tourné pour eux

(b) (have a good result → job, plan) réussir; (→ problem, puzzle) se résoudre;

∎ she worked out fine as personnel director elle s'est bien débrouillée comme directeur du personnel;

∎ are things working out for you OK? est-ce que ça se passe bien pour toi?;

∎ did the new job work out? ça a marché pour le nouveau boulot?;

∎ it didn't work out between them les choses ont plutôt mal tourné entre eux;

∎ their project didn't work out leur projet est tombé à l'eau

(c) (amount to)

∎ how much does it all work out at? ça fait combien en tout?;

∎ the average price for an apartment works out to or at $5,000 per square metre le prix moyen d'un appartement s'élève ou revient à 5000 dollars le mètre carré;

∎ that works out at three hours a week ça fait trois heures par semaine;

∎ electric heating works out expensive le chauffage électrique revient cher

(d) (exercise) faire de l'exercice; (professional athlete) s'entraîner

➲ work over separable transitive verb

(a) American (revise) revoir, réviser

(b) familiar (beat up) tabasser, passer à tabac

➲ work round

1 intransitive verb

(a) (turn) tourner;

∎ the wind worked round to the north le vent a tourné au nord petit à petit

(b) figurative (in conversation)

∎ he finally worked round to the subject of housing il a fini par aborder le sujet du logement;

∎ what's she working round to? où veut-elle en venir?

2 separable transitive verb

∎ (bring round) I worked the conversation round to my salary j'ai amené la conversation sur la question de mon salaire

➲ work through

1 separable transitive verb

(a) (insert) faire passer à travers

(b) (progress through)

∎ we worked our way through the crowd nous nous sommes frayé un chemin à travers la foule;

∎ he worked his way through the book il a lu le livre du début à la fin;

∎ figurative I worked the problem through j'ai étudié le problème sous tous ses aspects

2 inseparable transitive verb

(a) (continue to work)

∎ she worked through lunch elle a travaillé pendant l'heure du déjeuner

(b) (resolve)

∎ he worked through his emotional problems il a réussi à assumer ses problèmes affectifs

➲ work up

1 separable transitive verb

(a) (stir up, rouse) exciter, provoquer;

∎ he worked up the crowd il a excité la foule;

∎ he worked the crowd up into a frenzy il a rendu la foule frénétique;

∎ he works himself up or he gets himself worked up over nothing il s'énerve pour rien;

∎ she had worked herself up into a dreadful rage elle s'était mise dans une rage terrible

(b) (develop) développer;

∎ I want to work these ideas up into an article je veux développer ces idées pour en faire un article;

∎ to work up an appetite se mettre en appétit;

∎ we worked up a sweat/a thirst playing tennis jouer au tennis nous a donné chaud/soif;

∎ I can't work up any enthusiasm for this work je n'arrive pas à avoir le moindre enthousiasme pour ce travail;

∎ he tried to work up an interest in the cause il a essayé de s'intéresser à la cause

(c) (idiom)

∎ to work one's way up faire son chemin;

∎ she worked her way up from secretary to managing director elle a commencé comme secrétaire et elle a fait son chemin jusqu'au poste de P-DG;

∎ I worked my way up from nothing je suis parti de rien

2 intransitive verb

(a) (clothing) remonter

(b) (build up)

∎ the film was working up to a climax le film approchait de son point culminant;

∎ things were working up to a crisis une crise se préparait, on était au bord d'une crise;

∎ she's working up to what she wanted to ask elle en vient à ce qu'elle voulait demander;

∎ what are you working up to? où veux-tu en venir?

a statement of desired standards of behavior or procedure applicable across an organization. Company policy defines ways of acting for staff in areas where there appears to be latitude in deciding how best to operate. This may concern areas such as time off for special circumstances, drug or alcohol abuse, workplace bullying, personal use of Internet facilities, or business travel. Company policy may also apply to customers, for example, policy on complaints, customer retention, or disclosure of information. Sometimes a company policy may develop into a code of practice.

the systematic recording, examination, and analysis of existing and proposed ways of conducting work tasks in order to discover the most efficient and economical methods of performing them. The basic procedure followed in method study is as follows: select the area to be studied; record the data; examine the data; develop alternative approaches; install the new method; maintain the new method. Method study forms part of work study and is normally conducted prior to work measurement. The technique was initially developed to evaluate manufacturing processes but has been used more widely to evaluate alternative courses of action. It is based on research into motion study conducted by Frank and Lillian Gilbreth during the 1920s and 1930s.

an approach to recognizing, applying, developing, and reproducing behavior, thought processes, and ways of communicating that contribute to success. Neurolinguistic programming was developed by Richard Bandler and John Grinder through their observations of how therapists achieved excellent results with clients. It is popular in the business environment, where its influencing techniques can help organizations implement change initiatives, improve communication and management skills, and develop training techniques.

Abbr. NLP

a theory that describes sets of feelings, thoughts, and behavior or ego states that influence how individuals interact, communicate, and relate with each other. The theories of transactional analysis were developed between the 1950s and 1970s by Eric Berne, a U.S. psychiatrist who studied the behavior patterns of his patients. Berne identified three ego states, parent, adult, and child, and examined how these affected interactions or transactions between individuals. Transactional analysis is used in psychotherapy but also has applications in education and training. In human relations training, transactional analysis is used to help people understand and adapt their behavior and develop more effective ways of communicating.

Abbr. TA

SUBJECT AREA: Paper and printing

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After Koenig and Bauer had introduced the machine printing-press and returned to Germany, it fell to Applegath and his mechanic brother-in-law Edward Cooper to effect improvements. In particular, Applegath succeeded Koenig and Bauer as machine specialist to The Times newspaper, then in the vanguard of printing technology.

Applegath and Cooper first came into prominence when the Bank of England began to seek ways of reducing the number of forged banknotes. In 1816 Cooper patented a device for printing banknotes from curved stereotypes fixed to a cylinder. These were inked and printed by the rotary method. Although Applegath and Cooper were granted money to develop their invention, the Bank did not pursue it. The idea of rotary printing was interesting, but it was not followed up, possibly due to lack of demand.

Applegath and Cooper were then engaged by John Walter of The Times to remedy defects in Koenig and Bauer's presses; in 1818 Cooper patented an improved method of inking the forme and Applegath also took out patents for improvements. In 1821 Applegath had enough experience of these presses to set up as a manufacturer of printing machinery in premises in Duke Street, Blackfriars, in London. Increases in the size and circulation of The Times led Walter to ask Applegath to build a faster press. In 1827 he produced a machine with the capacity of four presses, his steam-driven four-feeder press.

Its flat form carrying the type passed under four impression cylinders in a row. It could make 4,200 impressions an hour and sufficed to print The Times for twenty years, until it was superseded by the rotary press devised by Hoe. By 1826, however, Applegath was in financial difficulties; he sold his Duke Street workshop to William Clowes, a book printer. In the following year he gave up being a full-time manufacturer of printing machinery and turned to silk printing. In 1830 he patented a machine for printing rolls of calico and silk from bent intaglio plates.

In 1848 Applegath was persuaded by The Times to return to newspaper printing. He tackled rotary printing without the benefit of curved printing plates and roll paper feed, and he devised a large "type revolving" machine which set the pattern for newspaper printing-presses for some twenty years.

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SUBJECT AREA: Agricultural and food technology, Chemical technology

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Sustained by the family tanning business in Dole, near the Swiss border, Pasteur's school career was undistinguished, sufficing to gain him entry into the teacher-training college in Paris, the Ecole Normale, There the chemical lectures by the great organic chemist J.B.A.Dumas (1800–84) fired Pasteur's enthusiasm for chemistry which never left him. Pasteur's first research, carried out at the Ecole, was into tartaric acid and resulted in the discovery of its two optically active forms resulting from dissymmetrical forms of their molecules. This led to the development of stereochemistry. Next, an interest in alcoholic fermentation, first as Professor of Chemistry at Lille University in 1854 and then back at the Ecole from 1857, led him to deny the possibility of spontaneous generation of animal life. Doubt had previously been cast on this, but it was Pasteur's classic research that finally established that the putrefaction of broth or the fermentation of sugar could not occur spontaneously in sterile conditions, and could only be caused by airborne micro-organisms. As a result, he introduced pasteurization or brief, moderate heating to kill pathogens in milk, wine and other foods. The suppuration of wounds was regarded as a similar process, leading Lister to apply Pasteur's principles to revolutionize surgery. In 1860, Pasteur himself decided to turn to medical research. His first study again had important industrial implications, for the silk industry was badly affected by diseases of the silkworm. After prolonged and careful investigation, Pasteur found ways of dealing with the two main infections. In 1868, however, he had a stroke, which prevented him from active carrying out experimentation and restricted him to directing research, which actually was more congenial to him. Success with disease in larger animals came slowly. In 1879 he observed that a chicken treated with a weakened culture of chicken-cholera bacillus would not develop symptoms of the disease when treated with an active culture. He compared this result with Jenner's vaccination against smallpox and decided to search for a vaccine against the cattle disease anthrax. In May 1881 he staged a demonstration which clearly showed the success of his new vaccine. Pasteur's next success, finding a vaccine which could protect against and treat rabies, made him world famous, especially after a person was cured in 1885. In recognition of his work, the Pasteur Institute was set up in Paris by public subscription and opened in 1888. Pasteur's genius transcended the boundaries between science, medicine and technology, and his achievements have had significant consequences for all three fields.

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SUBJECT AREA: Textiles

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Since the 1930s people have been experimenting with ways of inserting the weft during weaving without using a massive shuttle. This would save wasting the energy that a shuttle requires to accelerate it through the warp and which is only to be lost when the shuttle is stopped in its box. Around 1950, the Czech engineer Vladimir Svaty had been working on air-jet looms, in which the weft was wafted across the loom by a jet of air. He then switched his interest to waterjet looms, and in 1955, at the Brussels exhibition, the first water-jet loom was displayed to a surprised world. In 1959 the Czechs had installed 150 of these looms at Semily in Czechoslovakia, weaving cloth 41 in. (104 cm) wide at 350 picks per minute. Water-jet looms are suitable only for certain types of synthetic fibres which are not affected by the wet. They are compact, quiet, mechanically simple and free from weft vibration. They find their most appropriate use in weaving simple fabrics from water-insensitive, continuous-filament yarn, which they can produce economically and with the highest quality.

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   1) Programs and the Complexity of Human Mental Processes

   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)

   2) Artificial Intelligence Is an Engineering Discipline

   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)

   3) A Sceptical View of Artificial Intelligence

   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)

   5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the Program

   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)

   6) The Meaning of a Symbolic Description

   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)

   7) The Principle of Artificial Intelligence

   [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)

   8) Artificial Intelligence Recognizes the Need for Knowledge in Its Systems

   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)

    10) There Are Many Types of Reasoning

   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)

    11) Programs Are Beginning to Do Things That Critics Have Asserted to Be Impossible

   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)

    12) The Synthesis of Man and Machine

   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)

    13) The Thesis of Good Old-Fashioned Artificial Intelligence (GOFAI)

   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)

    15) Four Kinds of Artificial Intelligence

   We might distinguish among four kinds of AI.

   ♦ Nonpsychological 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.

   ♦ Weak Psychological AI

   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.

   ♦ Strong Psychological AI

... 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)

   ♦ Suprapsychological AI

   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)

    17) Form and Content Are Not Fundamentally Different

   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)

    20) Mathematical Logic Provides the Basis for Theory in AI

   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)

    22) Definitions of Artificial Intelligence

   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)

    23) The Computer Can Not Be a Model of the Mind

   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)

    24) Computers Will Not Always Be Inferior to Human Brains

   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)