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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
A* algorithm      160
Abduction: hypothesis formation      251
ABS: absolute value function      154
Absolute value of crossed differences      408
Abstraction: learning      285
ABSTRIPS, reference on      177
Accident: learning      296
Accountability, human      472
Accretion region      443
Acoustic rangefmder      391
Acoustical level: speech      328
Acquisition, image      386
Acquisition, knowledge      129 313
Acquisition, language      297 373
Acquisition, learning      283
Acronym      2
ACRONYM, reference on      449
Action in COND form      26
Active sensing      391
Active voice      327 339
ACT_UPON      368
Add axiom      196
add1      19 483
ADD: exercise on rational numbers      87
Additive law: probability      241
ADDMATCH      362
ADDSUBSET      96 309
ADDSUPERSET      96 309
ADDTOSET      96 309
ADD_PAIR      206 222
Adjacency, graph representation      149
Adjacency, pixel      398
Adjective      117
Admissibility of A* algorithm      162
Advising      461
Agenda      298 299
Agent      117 327
Aho, A.      131
Algorithm: A* search      160
Aliasing, exercise on      454
Aliasing, sampling      392
Alienation, human      478
Allen, J.      47 373
ALLEQUAL      301
ALL_BUT_LAST      145
Alpha cutoff      176
Alpha-beta search      172
Alpha-beta search, reference on      177
Alphabet: language      329
AM      3 91 316
Amacrine cell: vision      381
Ambiguity: syntax      332
Ambiguity: syntax, exercise on      376
Analog-to-Digital Converter      389 394
Anaphora: pronoun reference      350
Anatomy: vision      381
AND      24 483
AND, parallelism      467
AND-OR graph      171
Andrews, H.      448
Andriole, S.      472
ANDWFF      193
Angiosperms: example of relation      125
Angle, solid      388
Antecedent: pronoun reference      351
Antisymmetry      93 131
ANY      97
Apathy, human      478
APPEND      31 483
Append function in exercise on PROLOG      237
Append function in PROLOG      226
APPEND, compared with NCONC      41
Application of AI      8 461
Application of LISP function      34
apply      34 483
APPLY, exercise on      50
Approximate reasoning      276
Approximation in modelling      464
Approximation, polygonal      431
Arbib, M.      449
Arc augmented transition network      349
Arc expression      265
Arc expression, exercise on      279
Arc in definition of graph      93
Arc in semantic net      115
Arch exercise on learning      319
Arch learning example      291
Architecture, parallel      468
ARC_DIST      160
Area      302
Area centralis      382
Area seventeen: vision      382
AREA1      302
Argument evaluation of LISP      34
Argument to LISP function      27
Argument, functional      34
Arithmetic expression, exercise on      52
Array for image in LISP      400
Array processor      468
Array use in Stone World      356
Array, three-dimensional      438
ART      465
Art, image formation      387
Art, visual      481
Article      366
Article, indefinite      92
Artificial intelligence definition      6
Artificial intelligence mind      479
Asimov, I.      479 482
Aspect ratio: shape      426
Assert function: PROLOG      227
Assoc axiom      196
Association in semantic net      115
ASTAR      162
ATN: augmented transition network      349 355
atom      25 483
Atom, LISP definition      16
ATOMCAR      82
Atomic proposition      188
ATRANS      342
Attachment to frame slot      114
Attention, conversation      354
Attention, learning      297
Attribute-value pair in frame      113
Attribute: representation in semantic net      117
Augmented transition network      349
Augmented transition network in Stone World      355
Automatic programming      477
Automobile repair: fuzzy inference      248
Average subspace      409
Axiom in non-monotonic logic      228
Axiom in Principia Mathematica      196
Axiom in Wang's algorithm      190
Axiom input to theorem prover      217
Axiom of probability      241 271
Axon: vision      381
A_STAR_SEARCH      162
B-tree      373
B-tree in lexicon      338
Babu, K.      448
Backed-up value in game tree      170
Backgammon      177
Background, image      398
Backing up values in game tree      169
Backtracking in an ATN      356
Backtracking in parsing      333
Backtracking LISP implementation      144
Backtracking relation to depth-first search      151
Backtracking search      142
Backups in LISP programming      45
Backus — Naur form      108
Backward chaining      98 196
BACON: Langley      316
Ballard, D.      448
Banerji, R.      317
Barnett, J.      276
Baroque Chess game, exercise on      184
Barr, A.      12
Barrow, H.      449
Barwise, J.      373
Basic probability assignment      272
Basic probability assignment example      274
Basis vector      409
Bayes' rule      242 252
Bayes' rule, exercises on      279
Bayes' rule, limitation of      271
Bayes' rule, odds-likelihood formulation      253
Bayes, T.      242 276
Bayesian dilemma      257
Be, verb to      92
Belief      240
Belief as probability      242
Belief function      272
Belief, degree of      271
Belief, human      10 478
Belief, religious      479
Belief, semantics      347
Berkeley, E.      47
Berliner, H.      177
Best-first search      154
Best-first search in PYTHAGORUS      298
Beta cutoff      176
Better      156
Binary relation      93 131
Binary relation in semantic net      115
Binary resolvent      207
Binding in function call      27
Binding of LISP variable      34
Binford, T.      2
BINOCULAR stereo      391 440
Binomial coefficient      241
Biochemical computation      476
Biology: theory formation      314
BIOSCALL      483
Bipolar cell: vision      381
Blind search      153 157 159
Blocks world example in planning      165
Blocks world in exercise on planning      182
Blocks world vision      381 442
Board evaluation function      169
Bobrow, D.      47 131 374
Boden, M.      482
Book, compared with expert system      478
Book, knowledge source      286
Boolean value in LISP      25
Boose, J.      315 472
Borning, A.      131
Botany: example for knowledge representation      125
Bottom-up parsing      331
Bottom-up parsing, exercise on      377
Boundary of point set      430
Bounding box      426
BOUNDP      484
Boyer, R.      231
Boyle, J.      233
Brachman, R.      131
Brain semantic net      90 115
Brain vision      379 381
Brainwashing: learning      284
Branch      402
BREADTH FIRST SEARCH      153
BREADTH FIRST SEARCH, exercise on      180
Breadth-first search      152
Breadth-first search, robot planning example      166
break      43 484
Bresnan, J.      373
Brice, C.      449
Briggs, F.      472
British Museum search      140 195
Brodie, M.      131
Brooks, R.      2 449
Brown, C.      448
Bruce, B.      373
Brute-force search      195
Brute-force search, exercise on      179
Buchanan, B.      315
Bundy, A.      231
Burt, P.      448
Buy: example event      338
CAADR      369
CAAR      484
CAAR, CADR, etc.      22
CADAR      484
CADDR      148 484
cadr      484
CADUCEOUS      470
Calculus, Dempster — Shafer      271
Calculus, differentiation with LEIBNIZ      71
Calculus, formula manipulation      82
Calculus, predicate      110
Calculus, propositional      108
Camera, CCD      389
Camera, vidicon      389
CAR      20 484
Carbonell, J.      317
Cardiology: motion vision application      442
Careers in AI      8
Caricature, visual      481
Case frame      326 338
Case frame script      340
Case frame, exercise on      376
CAT scanning      387
CAT scanning volume representation      438
Cataloging      296
Category in ISA hierarchy      95
Causal link: semantic primitive      343
CCD camera      390
CCD camera, sensing      389
CDAR      484
CDAR, CDDR, etc.      22
CDDR      484
CDR      22 484
CDR-coding of LISP memory      47 467
Cell, LISP memory      17 20 45
Cellular logic      404
Cellular logic, octagonal closure      427
Cellular logic, references on      449
Cellular space in Stone World      355
Cercone, N.      130
Certainty      240
Chain code      415 431
Chain rule in LEIBNIZ exercise      86
Chaining, backward      196
Chaining, forward      196
Chandrasekaran, B.      472
Chang, C.      231
Change detection      442
Charniak, E.      11 12 47 82
Checkers evaluation function      173
Checkers example of alpha-beta search      173
Checkers game playing      168
Checkers reference on learning in      315
Checkers, Samuel's program      3
Checkers,reference on      177
Chemical computation: learning      285
Chemistry: theory formation      314
Chen, C.      448
Chess as search      139
Chess game playing      168
Chess, alpha-beta search      172
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