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Winograd T. — Understanding computers and cognition
Winograd T. — Understanding computers and cognition



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Название: Understanding computers and cognition

Автор: Winograd T.

Аннотация:

This is an excellent text which describes an approach to using computers to perform an enabling role within corporate enterprises by using their ability to allow clearer understanding between participants in the workplace. The other aspect of this book looks at current methods of creating AI systems and their fundamental weaknesses. Having read this as part of my MSc. in Information Technology I have re-read it several times and I would recommend it to all those involved in complex system design, implementation and support. In addition a book such as Checklands Soft Systems Methodolgy will give a good introduction to how the systems described in Understanding Computers and Cognition can be designed to meet the demands of "real world" environments


Язык: en

Рубрика: Технология/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 1987

Количество страниц: 207

Добавлена в каталог: 10.12.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Tradition, unconcealment of      5 179
Transformation, and design      177—179
Translation      see “Machine translation”
Transparency of interaction      164
Triggering by perturbation      48—49
Triggering in conversation      168
Truth      17—20 55—58
Truth and grounding      67
Truth as agreement (Habermas)      62
Truth condition      19 54 57 112
Truth theoretic semantics      17—19
Truth vs. appropriateness (Austin)      57
Turtle, Sherry      178n
Ulocutionary point      58—59
Ultra-intelligent machine      4
Unanticipated effect, of technology      154
Unconcealment      see “Tradition”
Understanding      27—33 115—124
Understanding and autonomy      123
Understanding and Being      27—37
Understanding and memory      116
Understanding and ontology      30—33
Understanding as commitment      123—124
Understanding as recognition      115—119 (see also “Interpretation Pre-understanding”)
Understanding by computer      75 107—124 135 159
Understanding, practical vs. theoretical      32
Unity      44
Unpredictability, of deterministic device      95
Unreadiness      5n 147
Unready-to-hand      36 72 73
Unstructured problem      153
Uribe, Gabriela      41
User-friendly      72 164
Uttal, Bro      133n
Validity claim      59
Value, in decision-making      21—22
Varela, Francisco      xiii 38n 40 44 45n
Veridicality, of representation      85
VisiCalc      175 176
Vision by computer      104 130
Vision in frog      38 41
Vision, color      41—43
VLSI (Very large scale integration)      133n 136—138
Voice      see “Speech”
von Foerster, Heinz      xiii 38n 51n
Walsh, Michael      102
Water, as example of word meaning      55—56 60 62n 69
Web of computing      173
Weizenbaum, Joseph      111 120—122
Wessel, Milton      155
Winograd, Terry      xi 18 69 109 112n 113 114n 115 177n
Winston, Patrick      101 102 122n
Wittgenstein, Ludwig      9 67n
Word processing as example of equipment      5—7 36—37 53 164
Word processing as systematic domain      175
Workgroup system      see “Coordination system”
World view      8 29n
Xerox Palo Alto Research Center      xi
Xerox Star      165
Yale University      128n
Zeleny, M.      44n
Zysiczk, W.S.      102n
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