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Tanimoto S.L. — The elements of artificial intelligence. An introduction using LISP
Tanimoto S.L. — The elements of artificial intelligence. An introduction using LISP



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Название: The elements of artificial intelligence. An introduction using LISP

Автор: Tanimoto S.L.

Аннотация:

The purpose of this book is to provide an up-to-date and didactically coherent introduction to the principles and programming methods of artificial intelligence. It is appropriate for an undergraduate or first-year graduate course. While it is possible for the student to get acquainted with artificial intelligence in a single quarter or semester, a sequence of two to three quarters or semesters is preferable. The author covers most of the material in two academic quarters at the University of Washington. During the first quarter, Chapters 1 through 6 or 7 are tackled, laying a foundation of symbol manipulation, knowledge representation and inference. The second quarter takes on the more advanced topics: learning, natural language understanding, vision and the integration of AI technology into expert systems.


Язык: en

Рубрика: Computer science/AI, knowledge/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 1987

Количество страниц: 518

Добавлена в каталог: 22.11.2005

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
NeXT      362
NEXT, exercise on      51
Nicholls, J.      446
NIL as boolean false      25
NIL, definition of      17
Nilsson, N.      11 13 82 131 176 315
NOAH: reference on      177
Node as state in search      139
Node in definition of graph      93
Node in semantic net      115
Noise edge cleaning      416
Noise imaging      390 395
Noise insensitivity in Hough transform      419
Noise region      423
Noise salt-and-pepper      423
Noise vision      380
Noise, Gaussian filter      411
Non-monotonic logic      228
Non-monotonic logic, learning      286
Nonterminal symbol      329
NONZEROAREA      301
Norgren, P.      453
Normal distribution: Gaussian      412
NORMALIZE_DIRECTION      367
NORMALIZE_OBJECT      367
NOT: synonym for NULL      25
Noun in case frame      327 339
Noun representation in semantic net      116
Noun, collective      344
NO_SPEC_TASK      304
NP1      356
Nuclear magnetic resonance      387
Nuclear reactor      464
Nudel, B.      317
NULL      25 486
Null clause      197
Number semantics      344
Number theory: learning      283
Number, exercise on rational      87
NUMBERP      25 486
Numeric atom      16 25 34
Numerical model      464 476
NUM_EQ      486
NWFF      193
OBEY_GO      368
OBEY_PUT      369
OBEY_TAKE      369
OBJECT in PYTHAGORUS      298
Object, image foreground      398
Object, thematic role      327
OBJ_NOUN      366
Occurs check in PROLOG      220
Occurs check unification      206
Occurs check, exercise on      236
OCCURSJN      206
Octagonal closure      427
Octree      438 449
Odds      264
Odds in probability      253
Odds, exercises on      279
Ohlander, R.      449
Ohm's law as constraint      120
Ohta, Y.      449
op      193
Opening conversation      353
Opening morphological      407
open_node      156 163
Operational definition: understanding      325
Operator move in search      142
Operator planning      167
Opper, S.      296 316
OPS5      465 469
OPS83      465
Optic chiasm      382
Optic nerve      381
Optical computing      476
Optical flow      442
Optical illusion      384
Optimality of A* algorithm      162
Optimization: learning      290
OR      486
OR parallelism      467
Ordered search      154
Ordinal: semantics      344
Organization: learning      285
orient      145
Orientation, human vision      382
Orientation, illumination      387
Orientation, surface      388 440
Orthogonal sum      273
ORWFF      193
Ostrich      106
Outcome: probability      241
Output using PRINT      39
Output using TYO      39
Outside-in learning      315
Overbeek, R.      233
Ownership in buying event      338
Ownership relation      118
Ownership relation, exercise on      135
Painted squares puzzle      140
Painted squares puzzle, exercises on      179
PALLINDROMEP, exercise on      50
Papert, S.      404 447
Parallax      441
Parallel processing      467
Parallel processing image operation      404
Parallel processing of PROLOG      467
Parallel processing, references on      472
Parallel processing, stimulated by AI      477
Parallelogram      301
Parameter motion      442
Parameter space in Hough transform      418
Parametric learning, reference on      315
Paranoia, artificial      82 86
Parent clause      197
Parent concept      305
PARENT, in PYTHAGORUS      306
Parenthesis in S-expression      16
PARRY      82
parse      333
PARSE in STONEWLD      362
Parse tree      331
PARSE, exercises on      376
PARSE2      334
Parsing      328
Parsing semantic grammar      349
Partial order      93
Pascal      27 43
Pascal's triangle      241
Pascal, B.      241
Passive voice      3 27 339
Path planning      431
Pattern analysis: learning      285
Pattern matching      53 58 82
Pattern matching in STONEWLD      362
Pattern recognition      315 379 447
Pavlidis, T.      448 449
PDIST      436
Peek      486
Perception: vision      379
Perceptron      379 404 447
Perceptron, reference on      315
Pereira, L.      219
Perfect induction      189 210
Perfect induction, exercise on      234
Performance learning      284
Performance, hardware speed      466 468 471
Perm axiom      196
Perrault, R.      373
Perry, J.      373
persuasion      352 354
Peters, S.      374
Phagocyte heuristic      422
Philosophy      8
Philosophy, mind      479
Philosophy, phenomenological      7
Phone: speech      328
Phoneme: speech      328
Photoconductive surface      389
Photometric stereo      441
Physics image formation      448
Physics theory formation      314
Physiology      446
Physiology vision      381
Piaget, J.      296
Piaget, reference on      316
Piaget, theory of      296
Picture processing      380
Picture producer      342
Piecewise-linear function: subjective-Bayesian updating      258
Pinker, S.      373
Pirenne, M.      453
Pixel      380 394
Pixel from rangefinder      391
Pixel histogram      397
Pixel, difference image      443
Pixel, exercise on      454
Pixel, non-rectangular      394
Pixel-by-pixel region growing      421
Plan      165
Plan, compared with script      341
PLANNER, reference on      231
Planning      165
Planning in MOLGEN      2
Planning in Stone World exercise      378
Planning with medial axis transform      431
Planning, exercises on      182
Planning, hierarchical      167
Plant: botany example      125
Plausibility function      273
Plausible reasoning      4
PLIST      486
plot      362
Plural: collective noun      344
plus      20 486
PLUS as special form      24
Plus operator: edge detection      408
PLUSFORM      73
Ply in game tree      169
Poage, J.      83
Poggendorff illusion      384
Poggio, T.      448
Pohl, I.      176
Pointer in LISP memory      17
Pointer in semantic net      115
Pointer manipulation in LISP      40
POKE      486
Polar form: line equation      418
POLITICS      7
Polonsky, I.      83
Polyak, S.      446
Polygon approximation      431
Polygon approximation, exercises on      457
Polygon in PYTHAGORUS      298 313
Polyhedron: blocks world      443
Polynomial in LEIBNIZ      70
Ponzo illusion      384
Pople, H.      276 473
Possibilistic logic      246
Postcondition: planning operator      168
Power set      272 274
PP      486
Prade, H.      276
Pragmatics in      328
Pratt, W.      448
Precedes: partial order      93
Precondition for planning operator      166
Predicate calculus      110 187
Predicate calculus in knowledge representation summary chart      129
Predicate calculus use in learning      287
Predicate calculus, resolution with      198
Predicate in concept specialization      299
Predicate in condition for matching      62
Predicate in LISP      25
Predicate in predicate calculus      111
Predicate intension of concept      315
Predicted component variable: probabilistic inference      263
Prediction      475
Prefix of word      328
Premise in logic      188
Prendergast, K.      472
Preposition      327
Prepositional phrase      331
Prepositional phrase, representation in semantic net      117
Preprocessing      381 395
Prerequisite: example predicate for circumscription      230
Presentation of knowledge      466
Preston, K.      449
Presupposition in LINNEUS exercise      135
Prewitt operator      409
Prewitt, J.      409
Primary evidential variable: probabilistic inference      263
Primary key of relation      125
Prime number in AM      297
Prime number in resolution example      198
Primitive, semantic      342
PRIN1      487
Principia Mathematica      195
Principia Mathematica, exercise on      234
print      39 487
PRINT1M      310
Printing special characters with TYO      39
PRINTL      66
PRINTM      487
PRINT_B      221
PRINT_DATE      487
PRINT_IMAGE      404
PRINT_PAIR      221
PRINT_PLACE      356
PRINT_ROW      404
PRINT_TIME      487
Prior odds      253
Prior probability      243 252
Prior probability, consistency      257
PRIOR_ODDS      266
PRIOR_PROB      266
Prob      264
Probabilistic inference network      245
Probabilistic inference network example      262
Probabilistic inference network, exercises on      278
Probabilistic reasoning      239
Probabilistic relaxation      416
probability      241
Probability, exercises on      278
Probability, mass in Dempster — Shafer calculus      272
Problem decomposition: AND-OR graph      171
Problem solving      461
Problem solving logical reasoning      187
Problem solving planning      165
Problem solving puzzle solving      141
Problem solving, resolution example      215
Procedural attachment in frame slot      115
Process control      476
PRODUCE REPLY      370
Production rule      91
Production rule as representation of knowledge      90
Production rule expert system      462
Production rule in knowledge representation summary chart      129
Production rule in learning example      285
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