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1 Computer Applications in Production and Engineering
Автоматика: Использование компьютеров в производстве и инженерных работах (название периодических конференций Международной федерации по обработке информации)Универсальный англо-русский словарь > Computer Applications in Production and Engineering
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2 CAPE
1) Компьютерная техника: Central Analysis Program Ecstasy2) Американизм: Customs Automated Processing Of Entries3) Военный термин: capability and proficiency evaluation, communications automatic processing equipment4) Техника: computer-aided pattern evaluation5) Химия: Connective Available Potential Energy6) Метеорология: Convective Available Potential Energy8) Университет: Caribbean Advanced Proficiency Examinations, Computer Adaptive Placement Exams, Consortium For Advanced Placement Education9) Вычислительная техника: Computer Applications in Production and Engineering (Conference, IFIP)10) Фирменный знак: Capitol Area Power Exchange, Consultancy For Agriculture Productivity Enhancement11) Деловая лексика: Capture Analyze Plan And Execute, Computer Aided Process Engineering12) Образование: Camp Attracting Prospective Educators, Community Alliance To Promote Education, Community Alliances To Promote Education, Computer Adaptive Placement Exam13) Автоматика: Computer Applications in Production and Engineering, computer-aided production engineering14) Океанография: Convective and Precipitation/ Electrification15) Расширение файла: Concurrent Art-to-Product Environment16) Общественная организация: Council Of American Private Education -
3 Cape
1) Компьютерная техника: Central Analysis Program Ecstasy2) Американизм: Customs Automated Processing Of Entries3) Военный термин: capability and proficiency evaluation, communications automatic processing equipment4) Техника: computer-aided pattern evaluation5) Химия: Connective Available Potential Energy6) Метеорология: Convective Available Potential Energy8) Университет: Caribbean Advanced Proficiency Examinations, Computer Adaptive Placement Exams, Consortium For Advanced Placement Education9) Вычислительная техника: Computer Applications in Production and Engineering (Conference, IFIP)10) Фирменный знак: Capitol Area Power Exchange, Consultancy For Agriculture Productivity Enhancement11) Деловая лексика: Capture Analyze Plan And Execute, Computer Aided Process Engineering12) Образование: Camp Attracting Prospective Educators, Community Alliance To Promote Education, Community Alliances To Promote Education, Computer Adaptive Placement Exam13) Автоматика: Computer Applications in Production and Engineering, computer-aided production engineering14) Океанография: Convective and Precipitation/ Electrification15) Расширение файла: Concurrent Art-to-Product Environment16) Общественная организация: Council Of American Private Education -
4 cape
1) Компьютерная техника: Central Analysis Program Ecstasy2) Американизм: Customs Automated Processing Of Entries3) Военный термин: capability and proficiency evaluation, communications automatic processing equipment4) Техника: computer-aided pattern evaluation5) Химия: Connective Available Potential Energy6) Метеорология: Convective Available Potential Energy8) Университет: Caribbean Advanced Proficiency Examinations, Computer Adaptive Placement Exams, Consortium For Advanced Placement Education9) Вычислительная техника: Computer Applications in Production and Engineering (Conference, IFIP)10) Фирменный знак: Capitol Area Power Exchange, Consultancy For Agriculture Productivity Enhancement11) Деловая лексика: Capture Analyze Plan And Execute, Computer Aided Process Engineering12) Образование: Camp Attracting Prospective Educators, Community Alliance To Promote Education, Community Alliances To Promote Education, Computer Adaptive Placement Exam13) Автоматика: Computer Applications in Production and Engineering, computer-aided production engineering14) Океанография: Convective and Precipitation/ Electrification15) Расширение файла: Concurrent Art-to-Product Environment16) Общественная организация: Council Of American Private Education -
5 CAPE
1) сокр. от computer-aided production engineering компьютерная ТПП2) сокр. от Computer Applications in Production and Engineering Использование компьютеров в производстве и инженерных работах (название периодических конференций Международной федерации по обработке информации)English-Russian dictionary of mechanical engineering and automation > CAPE
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6 director
начальник (управления, службы, отдела) ; руководитель; директор; ( центральный) прибор управления огнем; прибор управления артиллерийским зенитным огнем, ПУАЗО; целеуказатель; оператор наведения; пункт [самолет, корабль] наведения; ретранслятор; буссольAssistant director, Review and Analysis — помощник начальника управления по проверке и анализу (контрактов) (МО)
Deputy CIA director, Essential Elements of Information — заместитель директора ЦРУ по постановке основных задач сбора разведывательной информации
Deputy director of Defense Research and Engineering for Administration, Evaluation and Management — заместитель начальника управления НИОКР МО по административным вопросам, вопросам оценки и управления
Deputy director, Contract Administration Services — заместитель начальника службы по контролю за исполнением контрактов (МО)
Deputy director, Strategic and Naval Warfare Systems — заместитель начальника управления по стратегическим и морским системам оружия (МО)
Deputy director, Tactical Air and Land Warfare Systems — заместитель начальника управления по тактическим авиационным и наземным системам оружия (МО)
Deputy director, Test Facilities and Resources — заместитель начальника управления по испытательному оборудованию и ресурсам (МО)
director EW and C3 Countermeasures — начальник управления РЭБ и мер противодействия системам руководства, управления и связи (МО)
director for C3 Policy — начальник управления разработки программ руководства, управления и связи (МО)
director for Operations, Joint Staff — начальник оперативного управления объединенного штаба (КНШ)
director for Plans and Policy, Joint Staff — начальник управления планирования и строительства ВС объединенного штаба;
director of Administrative Services, Joint Staff — начальник административного управления объединенного штаба
director of Civilian Marksmanship, National Board for the Promotion of Rifle Practice — начальник управления стрелковой подготовки гражданского персонала Национального комитета содействия развитию стрелкового спорта (СВ)
director of Manning (Army) — Бр. начальник управления комплектования (СВ)
director of Research, Development, Test and Evaluation — начальник управления НИОКР, испытаний и оценок
director, Acquisition and Support Planning — начальник управления закупок (военной техники) и планирования МТО (МО)
director, Administrative Support Group — начальник группы административного обеспечения (СВ)
director, Admiralty Marine Technology Establishment — Бр. начальник управления разработки боевой техники МП
director, Admiralty Surface Weapons Establishment — Бр. начальник управления разработки систем надводного оружия ВМС
director, African Region — начальник управления стран Африки (МО)
director, Air National Guard — директор штаба НГ ВВС
director, Air Vehicles Technology — начальник управления разработки авиационных транспортных систем (МО)
director, Air Warfare — начальник управления авиационных систем оружия (МО)
director, Army Air Corps — Бр. начальник управления армейской авиации СВ
director, Army Aviation — начальник управления армейской авиации
director, Army Council of Review Boards — председатель совета СВ по контролю за деятельностью апелляционных комиссий
director, Army Medical Services — Бр. начальник медицинской службы СВ
director, Army National Guard — директор штаба НГ СВ
director, Army Programs — начальник управления разработки программ СВ
director, C3 Resources — начальник управления разработки систем руководства, управления и связи (МО)
director, Chemical Defence Establishment — Бр. директор НИЦ средств химической защиты
director, Civil Affairs — начальник управления по связям с гражданской администрацией и населением
director, Civilian Employees Security Program — начальник службы контрразведывательной проверки гражданского персонала (СВ)
director, Combat Support — начальник управления боевого обеспечения (МО)
director, Communications Systems — начальник управления систем связи (МО)
director, Contracts and Systems Acquisition — начальник управления заключения контрактов и закупок систем оружия и военной техники (МО)
director, Coordination and Analysis — начальник управления координации и анализа
director, Counterintelligence and Investigative Programs — начальник управления программ контрразведки и специальных расследований (МО)
director, Cruise Missile Systems — начальник управления систем КР (МО)
director, Defence Operational Analysis Establishment — Бр. начальник военнонаучного управления МО
director, Defense Research and Engineering — начальник управления НИОКР МО
director, Defense Sciences — начальник научно-исследовательского управления МО
director, Defense Supply Service-Washington — начальник службы снабжения зоны Вашингтона в МО
director, Defense Telephone Service-Washington — начальник телефонной службы зоны Вашингтона в МО
director, Defense Test and Evaluation — начальник управления МО по испытанию и оценке (оружия и военной техники)
director, DIA — начальник разведывательного управления МО
director, Directed Energy Programs — начальник управления программ использования направленной энергии (МО)
director, Doctrine, Organization and Training — начальник управления разработки доктрин, вопросов организации и боевой подготовки
director, DOD SALT Task Force — председатель рабочей группы МО по вопросам переговоров в рамках ОС В
director, East Asia and Pacific Region — начальник управления стран Восточной Азии и Тихого океана (МО)
director, Electronics and Physical Sciences — начальник управления по электронике и естественным наукам (МО)
director, Engineering Technology — начальник управления проектно-конструкторских работ (МО)
director, Environmental and Life Sciences — начальник управления экологических и биологических наук (МО)
director, Equipment Applications — начальник управления по изучению применения техники (в войсках)
director, Facilities Engineering — начальник инженерно-строительного управления
director, Far East/Middle East/Southern Hemisphere Affairs — начальник управления стран Дальнего Востока, Среднего Востока и Южного полушария (МО)
director, Federal Bureau of Investigation — директор ФБР
director, Field Maintenance — начальник службы полевого технического обслуживания и ремонта
director, Foreign Military Rights Affairs — начальник управления по делам прав иностранных государств в военной области (МО)
director, General Purpose Forces Policy — начальник управления разработки вопросов строительства сил общего назначения
director, Health Resources — начальник управления ресурсов здравоохранения
director, Information Processing Technique — начальник управления систем обработки информации (МО)
director, Information Security — начальник управления обеспечения секретности информации (МО)
director, Information Systems — начальник управления АИС
director, Installations — начальник управления строительства
director, Intelligence Resources — начальник управления изучения ресурсов разведки (МО)
director, Inter-American Region — начальник управления по межамериканским делам
director, International Economic Affairs — начальник управления по международным экономическим делам (МО)
director, International Military Staff — начальник международного объединенного штаба (НАТО)
director, Joint Staff — начальник секретариата объединенного штаба (КНШ)
director, Joint Tactical Communications (TRI-TAC) Program — начальник отдела работ по программе использования единой тактической системы связи (ТРИ-ТАК)
director, Judge Advocate Division — начальник отдела военно-юридической службы (МП)
director, Land Warfare — начальник управления наземных систем оружия (МО)
director, Legislative Liaison — начальник отдела по связям с законодательными органами (ВВС)
director, Legislative Reference Service — начальник справочной юридической службы (МО)
director, Major Weapon Systems Acquisition — начальник управления закупок основных систем оружия (МО)
director, Marine Corps Reserve — начальник отдела по вопросам резерва МП
director, Materiel Acquisition Policy — начальник управления разработки планов закупок оружия и военной техники (МО)
director, Materiel Requirements — начальник отдела определения потребностей в оружии и военной технике
director, Medical Plans and Resources — начальник управления ресурсов и планов медицинского обеспечения (ВВС)
director, Military Assistance Office — Бр. начальник управления по оказанию военной помощи иностранным государствам (СВ)
director, Military Survey — Бр. начальник топографического управления (СВ)
director, Military Technology — начальник управления военной технологии (МО)
director, Military Vehicles and Engineering Establishment — Бр. начальник управления БМ и инженерной техники
director, National Intelligence Systems — начальник управления национальных систем разведки (МО)
director, NATO/European Affairs — начальник управления по делам НАТО и стран Европы (МО)
director, Naval Laboratories — начальник управления научно-исследовательских лабораторий ВМС
director, Near Eastern and South Asian Region — начальник управления стран Ближнего Востока и Южной Азии (МО)
director, Negotiations Policy — начальник управления разработки планов ведения переговоров (МО)
director, Net Assessment — начальник управления всесторонней оценки программ (МО)
director, NSA — директор АНБ
director, Offensive and Space Systems — начальник управления космических средств и систем наступательного оружия (МО)
director, Office of Congressional Travel/Security Clearances — начальник отдела организации поездок членов Конгресса и оформления допуска к секретным материалам (МО)
director, Office of Dependents Schools — начальник отдела по вопросам воспитания и образования детей военнослужащих (МО)
director, Office of Research and Administration — начальник управления НИР и административного обеспечения (МО)
director, Operations — начальник оперативного управления [отдела]
director, Personnel and Employment Service-Washington — начальник отдела кадров для гражданских служащих зоны Вашингтона (СВ)
director, Personnel Council — председатель совета по делам ЛС (ВВС)
director, Personnel Plans — начальник управления планирования подготовки ЛС (ВВС)
director, Personnel Programs — начальник управления разработки программ использования ЛС (ВВС)
director, Planning and Health Policy Analysis — начальник управления планирования и развития здравоохранения (МО)
director, Planning and Requirements Review — начальник управления планирования и анализа потребностей (МО)
director, Planning — начальник управления планирования (МО)
director, Plans and Programs — начальник управления разработки планов и программ
director, Policy Research — начальник управления политических исследований (МО)
director, Program Control and Administration — начальник управления по административным вопросам и контролю за выполнением программ
director, Program Management — начальник управления по руководству разработкой программ (МО)
director, R&D and Procurement — начальник отдела НИОКР и заготовок
director, Religious Education — руководитель отделения [секции] религиозного образования (СВ)
director, Resource Management Office — начальник отдела управления ресурсами (СВ)
director, Royal Aircraft Establishment — Бр. директор НИЦ авиационной техники
director, Royal Armament R&D Establishment — Бр. директор НИЦ вооружений
director, Royal Armored Corps — Бр. начальник бронетанковых войск
director, Royal Artillery — Бр. начальник артиллерийского управления
director, Royal Signals and Radar Establishments — Бр. директор НИЦ средств связи и РЛ техники
director, SALT/Arms Control Support Group — начальник группы обеспечения переговоров в рамках ОСВ по контролю над вооружениями
director, Security Assistance Plans and Programs — начальник управления разработки планов и программ военной помощи иностранным государствам
director, Security Plans and Programs — начальник управления разработки планов и программ обеспечения безопасности (МО)
director, Space Activities Office — начальник управления космических программ (МО)
director, Space and Building Management Service-Washington — начальник службы эксплуатации объектов зоны Вашингтона (СВ)
director, Space Systems — начальник управления космических систем (ВВС)
director, Special Projects — начальник управления специальных проектов (МО)
director, Special Studies — начальник управления специальных НИР
director, Special Weapons — начальник управления специальных видов оружия
director, Strategic and Theater C2 Systems — начальник управления разработки систем руководства и управления ВС в стратегическом масштабе и на ТВД
director, Strategic Forces Policy — начальник управления разработки вопросов развития стратегических сил
director, Strategic Planning — начальник отдела стратегического планирования
director, Strategic Plans — начальник отдела стратегического планирования
director, Strategic Policy — начальник управления разработки стратегических проблем (МО)
director, Strategic Technology — начальник управления разработки стратегических систем оружия (МО)
director, Studies and Analyses Staff — начальник отдела исследований и анализа (СВ)
director, Surveillance and Warning — начальник управления систем наблюдения и оповещения (МО)
director, Tactical Intelligence Systems — начальник управления тактических систем разведки (МО)
director, Tactical Technology — начальник управления разработки тактических систем оружия (МО)
director, Technology and Arms Transfer Policy — начальник управления разработки основ передачи военной технологии и вооружений
director, Technology Trade — начальник управления по торговым операциям в области технологии
director, Territorial Army and Cadets — Бр. начальник управления территориальной армии и кадетских организаций
director, Theater Nuclear Force Policy — начальник управления разработки программ развития ядерных сил на ТВД
director, Underwater Weapons Projects — Бр. начальник отдела разработки проектов подводного оружия
director, USAF Judiciary — начальник отдела судопроизводства ВВС США
director, Washington Headquarters Services — начальник административноштабной службы зоны Вашингтона
director, Weapons (Production) — Бр. начальник управления по производству систем оружия
director, Women's RAF — Бр. начальник женской вспомогательной службы ВВС
director, Women's Royal Naval Service — Бр. начальник женской вспомогательной службы ВМС
Executive director, Industrial Security — начальник управления обеспечения сохранения военной тайны на промышленных предприятиях (МО)
Executive director, Quality Assurance — начальник управления обеспечения качества (продукции МО)
Executive director, Technical and Logistics Services — начальник управления служб МТО (МО)
Managing director, Royal Ordnance Factories — Бр. начальник управления военных заводов
Principal director Office of the Deputy Under-Secretary, Policy Planning — начальник управления [первый помощник заместителя МО] по планированию военно-политических программ
Staff director, Installation Services and Environmental Protection — начальник управления обслуживания объектов и защиты окружающей среды (МО)
Staff director, Management Review — начальник управления анализа организационных проблем (МО)
Staff director, Small and Disadvantaged Business Utilization — начальник управления по связям с мелкими и льготными предприятиями (МО)
Vice director, Management and Operations Defense Intelligence Agency — первый заместитель начальника разведывательного управления МО по вопросам руководства операциями
— fire control director -
7 program
1) программа || программировать, составлять [подготавливать\] программу; разрабатывать программу || программный3) осуществление программы, проекта, плана•to update program — редактировать [исправлять, корректировать\] программу-
absolute program
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ACC control program
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application program
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assembler program
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background program
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benchmark program
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blue-ribbon program
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bootstrap program
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broadcasting program
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bum initiation program
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called program
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calling program
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channel program
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checking program
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CNC inspection program
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compiler program
-
composition program
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computer program
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consulting program
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contour milling program
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control program
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conversational program
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conversion program
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coolant dispensing program
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core program
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debugging program
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debug program
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decision program
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despooling program
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development program
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diagnosis program
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DNC program
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drilling bit program
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drilling mud changeover program
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drilling mud program
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drilling program
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drive cycle simulation program
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duplicate program
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earthwatch program
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editing program
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educational program
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emulator program
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energy-optimal program
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entertainment program
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execute-only program
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executive program
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exploration program
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family program
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finished program
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fixed program
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foreground program
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generating program
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geological and engineering program
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Global Atmospheric Research program
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grinding program
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hardware program
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host program
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incremental program
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initial loading program
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initial load program
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input program
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input-output program
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interactive program
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International Geological Correlation program
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International Hydrological program
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international television program
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interpreter program
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learning program
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library program
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linear program
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loading program
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load program
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machine program
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machine-language program
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machining program
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macro generating program
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main program
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maintenance program
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makeup program
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manager program
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man-in-space program
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manned space program
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manufacturer program
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master program
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mathematics program
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MDI part program
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mine supervisory training program
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mining research program
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modified part program
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monitoring program
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monitor program
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movement sequence program
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national program
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natural heritage program
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NC program
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networking program
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news program
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numerically intensive program
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object program
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off-line diagnostic program
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operating program
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Operational Hydrology program
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output program
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overlays program
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overlay program
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packaged programs
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part inspection program
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part program
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partitioned program
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PC program
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portable program
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preprepared program
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preset program
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prime time program
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processing program
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product improvement program
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product update program
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production program
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proved NC program
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punched tape program
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radio program
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read-in program
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recovery program
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reenterable program
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relocatable program
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resident program
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reverse program
-
robot program
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robot-independent program
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rolling program
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routine program
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routing program
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sample program
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scheduling program
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self-test program
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sensor-based program
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service program
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sorting program
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sort program
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sortware program
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sound program
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source program
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sponsored program
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sports program
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spreadsheet program
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stand-alone program
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standard program
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star program
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stored program
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stress analysis program
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structured program
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style width program
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subject program
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supervisor program
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support program
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suspended program
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swarf clearing program
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symbolic program
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system program
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target program
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teaching program
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televised program
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television program
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temporary diagnostic program
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test program
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three-dimensional surface program
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tool part program
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trace program
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training program
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translating program
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typesetting program
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unilateral program
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unsupported program
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up-to-date program
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user program
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utility program
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video-tape program
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video program
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well casing program
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well program
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word processing program
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work station program
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World Climate Applications program
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World Climate Data program
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World Climate Impact Studies program
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World Climate program
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World Climate Research program -
8 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, EventuallyJust 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 ProgramMany 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 FormThe 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 FormationIt 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 ContextsEven 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)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 IntelligenceThe 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 PropositionsIn 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
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