Computation and Human Experience

Coperta unu
Cambridge University Press, 28 iul. 1997 - 371 pagini
This book offers a critical reconstruction of the fundamental ideas and methods in artificial intelligence (AI) research. By paying close attention to the metaphors of AI and their consequences for the field's patterns of success and failure, it argues for a reorientation of the field away from thought and toward activity. By considering computational ideas in a large, philosophical framework, the author eases critical dialogue between technology and the social sciences. AI can benefit from an understanding of the field in relation to human nature, and in return, it offers a powerful mode of investigation into the practicalities of physical realization. Researchers in AI and cognitive science will welcome this timely discussion.
 

Cuprins

Introduction
1
Planning
5
Why build things?
10
How computation explains
16
Critical orientation
20
Outline
24
Metaphor in practice
27
Language in practice
28
Improvisation
156
Running arguments
160
Argument and centralization
166
Experiments with running arguments
179
Demonstration
181
Patterns of transfer
191
Transfer and goal structure
198
Analysis
214

Metaphors in technical work
33
Centers and margins
38
Margins in practice
44
Machinery and dynamics
49
Interactionism
52
Machinery and dynamics
57
Interactionist methodology
61
Abstraction and implementation
66
variables
71
Architectural and generative reasoning
80
Generative reasoning and mentalism
85
The digital abstraction
89
The meaning of circuitry
92
The temporality of computation
96
Embodied computation
103
Dependency maintenance
105
About routines
107
Main ideas of dependency maintenance
113
Rule system
124
Rule language semantics
126
How it works
130
Incremental updating
136
Advanced rule writing
139
Planning and improvisation
142
Troubles with planning
145
Planning and execution
150
Representation and indexicality
222
Knowledge representation
227
Indexicality
230
Intentionality
234
Deictic representation
241
Causal relationships
246
Entities and aspects
250
Using deictic representation
255
Pengi
260
Pengo and Pengi
263
Entities and aspects in Pengi
266
How Pengi decides what to do
268
Architecture
273
Visual system
277
Central system
285
Example
288
Seriality and focus
295
Questions and answers
297
Conclusion
302
Converging computational work
307
Some next steps
312
Notes
316
References
334
Author index
361
Subject index
366
Drept de autor

Alte ediții - Afișează-le pe toate

Termeni și expresii frecvente

Informații bibliografice