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Nilsson N.J. — Problem-Solving Methods in Artificial Intelligence
Nilsson N.J. — Problem-Solving Methods in Artificial Intelligence



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Íàçâàíèå: Problem-Solving Methods in Artificial Intelligence

Àâòîð: Nilsson N.J.

ßçûê: en

Ðóáðèêà: Computer science/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Èçäàíèå: 1st edition

Ãîä èçäàíèÿ: 1971

Êîëè÷åñòâî ñòðàíèö: 255

Äîáàâëåíà â êàòàëîã: 05.07.2009

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Nodes, inference      174—175
Nodes, OR      S7
nodes, root      44 219
Nodes, solved      88—89 117
Nodes, start      43
Nodes, tip      128 219
Nodes, top      220
Nodes, unsolvable      90 117
nondeterministic programs      24—27 90—93
Nondeterministic programs for the 15-puzzle      26—27
Nondeterministic programs for the S-queens problem      92
Nondeterministic programs to represent AND/OR graphs      90—93
Nondeterministic programs to represent state spaces      24—27
Nondeterministic programs, choice functions in      38
Nondeterministic programs, correctness of      3S
Nondeterministic programs, history of      38 112
Operations research, branch and bound methods in      11 70
Operations research, state spaces in      10—11
Operator schemas in monkey-and-bananas problem      36
Operator schemas in predicate calculus formulation      207
Operators for the 15-puzzle      4
Operators for the S-puzzle      20—21
Operators in monkey-and-bananas problem      36 106 207 210
Operators in problem-reduction problem solving      85—86
Operators in state-space problem solving      19—21
operators, definition of      4
Operators, formalization of      210
Operators, key      104—105 112—113
Operators, successor      23 44 88
Operators, use of rewriting rules to define      19—21
Optimality of A*      61—65
Optimality of AND/OR tree-search algorithms      136
Optimization problems using state—space approach      22 see
OR nodes in AND/OR graphs      87
Ordered search in resolution theorem proving      227—228 229
Ordered search of AND/OR trees      130—131 132 133
Ordered search of game trees (combined with alpha-beta procedure)      148—149
Ordered search of state—space graphs, algorithm for      55—56
Ordered search of state—space graphs, applied to S-puzzle      55—57 66—68
Ordered search of state—space graphs, evaluation function for      57—58
Ordered search, admissibility of      50—61 131—136
Ordered search, optimality of      61—65
Parent nodes in graphs      22—23
Path cost in AND/OR solution trees      217
Path cost in state-space graphs      23
Paths in graphs      22—23 120
Paths in graphs, cost of      23
Paths in graphs, length of      23
Paths in graphs, minimal cost      23
Penetrance      72—73
Penetrance, graph of      75
Perceptrons      75
Performance measures      72—75 70—77
Planning in problem-reduction problem-solving methods      103—109
Pointers in AND/OR search trees      117—118
Pointers slate-space search trees      44
Positive clauses      227
Potential solution tree      129
Practical applications of problem-solving methods      11
Precondition wffs      206—209
Predicate calculus as a language for problem solving      156—157
Predicate calculus, applications of, to problem solving      187—216
Predicate calculus, applications of, to program writing      201—205
Predicate calculus, applications of, to state-space problem solving      206—212
Predicate calculus, concept of logically follows in      164
Predicate calculus, concept of proof in      104
Predicate calculus, domains for      159
Predicate calculus, formulation of monkey-and-bananas problem in      206—212
Predicate calculus, logical connectives in      158
Predicate calculus, models in      159 171—172 224—225
Predicate calculus, quantifiers in      161—163
Predicate calculus, resolution in      178—183
Predicate calculus, search methods in      217—233
Predicate calculus, semantics of      157 159—161
Predicate calculus, syntax of      157—159
Predicate calculus, translations from English into      188—189
Predicate calculus, treatment of equality in      183—184
Predicate calculus, undecidability of      103
Predicate calculus, variables in      161—163
Predicate evaluation used in automatic theorem proving      218
Predicate letters      158
Prefix of a wff      167
Prenex form      167 see
Primitive problems in problem reduction      6 86—87
Problem solving as performed by animals      9
Problem solving by problem-reduction approach      5—6 80—115
Problem solving by state-space approach      4 17—42
Problem solving by trial-and-error search      2 10
Problem solving by use of logic      6—7 187—210
Problem solving, definition of      2
Problem solving, general purpose      7
Problem states      4
Problem-reduction approach to problem solving      80—115
Problem-reduction approach to problem solving applied to game playing      109—112
Problem-reduction approach to problem solving, comparison with state-space approach      85
Problem-reduction approach to problem solving, examples of representations      93—109
Problem-reduction approach to problem solving, need for search in      86
Problem-reduction approach to problem solving, problem descriptions for      83 85
Problem-reduction approach to problem solving, search methods for      110—155
Problem-reduction approach to problem solving, use of differences in      105—109
Problem-reduction approach to problem solving, use of milestone or stepping stone states in      103—109
Problem-reduction approach to problem solving, use of models in      100—102
Problem-reduction approach to problem solving, use of planning in      103—109
Problem-reduction graphs      see AND/OR graphs
productions      see Rewriting rules
Program writing, automatic      201—205
Proof graphs      180—182
Proof methods in predicate calculus      see Resolution Theorem
Proofs in predicate calculus      104
Proofs, constructive      188
Proposition tree      112 see AND/OR
Provisional backed-up values (PBVs) in alpha-beta procedure      144—145
PROW      213 216
Pruning in AND/OR graphs      118
Pruning in state-space graphs      71—72
Puzzles as example problems      3
Puzzles, 8-queens problem      41 92
Puzzles, books about      12
Puzzles, water-jug problem      40 (2—4) see 15—puzzle Tower-of-Hanoi
Quantifiers in predicate calculus      161—163
Quantifiers, scope of      102 103
QUBIC      154 (6—6)
Question answering      212—213
Question answering, surveys of      213
Queuing problems      see Distribution problems
Real problems, examples of      11
Realization of existential quantifiers in answer extraction      180—201
Reasoning about actions      7 see
Reasoning backwards      80 112
Refinement strategies in resolution theorem proving      210—227
Refutation      180
Refutation graphs      180
Refutation graphs, examples of      181 182
Remote manipulation problems      11
Representations as one element of problem solving      8
Representations, good, selection of      35
Representations, literature on      39
Representations, problem-reduction, components of      83—87
Representations, problem-reduction, examples of      93—109
Representations, shifts in      35
Representations, state-space, components of      22
Representations, state-space, examples of      27—34
Representations, using predicate calculus      187—216
Resolution      7
Resolution as modus ponens      179
Resolution principle      157 180—181 134
Resolution, combining strategies in      227
Resolution, definition of      178—183
Resolution, examples of      179
Resolution, fewest components strategy in      228
Resolution, relative to a model strategy      224—227 229
Resolution, relative to a refinement criterion      219
Resolution, relative to an ancestry filter      221—222 229
Resolution, search methods for      217—233
Resolution, set-of-support strategy in      see Set-of-support strategy as
Resolution, simplification strategies in      215—210
Resolution, soundness and completeness of      181—183
Resolution, unit preference strategy in      228 229
Resolution, use of evaluation functions in      220—230
Resolvent      174 178—179
Rewriting rules , examples of      20
Rewriting rules as operators      19—21
Rewriting rules for arrays      20—21
Rewriting rules for S-puzzle      20—21
Rewriting rules for strings      19—21 30
Root node in resolution proof graphs      210
Root node in trees      44
SAINT program      93—97 112
Satisfiability of a set of wffs      164
Satisfiability of a wff      161
Schemas as used by Newell and by Fikes      39
Schemas operator      35—37 207
Schemas, state-description      35—37 207
Schemas, variables in      35—37
Scope of quantifiers      162 163
Search as one element of problem solving      8
Search graphs in AND/OR graph searching      118
Search in problem-reduction approach      6
Search in resolution theorem proving      217—233
Search in stair-space approach      4
Search of AND/OR graphs      123—126
Search of AND/OR graphs, breadth-first      119—121
Search of AND/OR graphs, depth-first      121—124
Search of AND/OR graphs, ordered      130—133
Search of game trees, using alpha-beta      140—149
Search of game trees, using dynamic ordering      149
Search of game trees, using fixed ordering      148—149
Search of game trees, using minimax      137—140
Search of state-spare graphs      23
Search of state-spare graphs using A*      57—68
Search of state-spare graphs, breadth-first      44 45—48
Search of state-spare graphs, depth-first      48—51
Search of state-spare graphs, ordered      54—57
Search of state-spare graphs, uniform cost      40—49
Search trees, definition of      45
Search trees, pointers in      44 117—118
Search, bidirectional      76
Search, blind      44
Search, efficiency of      62 72—75 147—148
Search, evaluation functions for      see Evaluation functions
Search, heuristic      44 53—54
Search, merit functions for      151
Search, primacy of      10
Search, trial-arid-error      2 10
Semantic trees      170—171 184
Semantic trees, closed      172—173
Semantics of predicate calculus      157 159—161 see
Sequential decoding problems      11
Set-of-support strategy as special case of resolution, relative to a model      226—227
Set-of-support strategy as special case of resolution, relative to ancestry filter criterion      223—224
Set-of-support strategy, completeness of      223—224 226—227
Set-of-support strategy, literature on      229
Shallow search, use in searching game trees      148
Shifts in representations      35
Simplification strategies in resolution theorem proving      218—219
SIN program      112
Skolem functions in answer statements      197—198
Skolem functions, definitions of      166
Solution graph in an AND/OR graph      89
Solution tree in AND/OR graph searching, cost of      126—128
Solution tree in AND/OR graph searching, cost of, estimated      127—128
Solution tree in AND/OR graph searching, optimal      127
Solution tree in AND/OR graph searching, potential      129
Solved nodes in AND/OR graphs      88—98 117
SORT program, example of automatic program writing      201—205
Soundness of resolution      181—183
Staged search      71 137
Start nodes      43
State descriptions      see States descriptions
State spaces defined by nondeterministic programs      24—27
State spaces for 15-puzzle      4—5
State spaces in control theory      10
State spaces in operations research      10—11
State spaces in problem solving      4
State spaces using predicate calculus      200—212
State spaces, elements of      22
State spaces, examples of      27—34
State spaces, formalization of      209—212
State spaces, higher level      109
State spaces, search of      see Search of
State terms in problem solving using predicate calculus      209
State-space graphs      4 22—23
State-space graphs for lo-puzzle      4 5
State-space graphs for monkey-and-bananas problem      37
State-space graphs for Tower-of-Hanoi puzzle      82
State-space graphs, implicit and explicit      23
State-space graphs, notation      22—23
State-space graphs, representation by nondeterministic programs      24—27
State-space graphs, searching of      23 43—79
States, descriptions of      17—19
States, descriptions of, by binary trees      IS
States, descriptions of, by predicate calculus wffs      206
States, descriptions of, by strings      19
States, descriptions of, for algebraic expressions      18—19
States, goal      22
States, in problems, definition of      4
Static evaluation functions for game trees      318
Static evaluation functions for tic-tac-toe      139—140
Static evaluation functions, backed-up values of      139
Strings as state descriptions      19
Strings, rewriting rules for      19—21
Subproblem graph      see AND/OR graphs
Subproblems in problem reduction approach      5 80
Subproblems in Tower-of-Hanoi puzzle      81—83
Substitution instance      176
Substitutions      176
Subsumption      218
Subsumption, elimination by      218 228—229
Successor operator for AND/OR graphs      88
Successor operator for state-space graphs      23 44
Successors in graphs      22—23
Successors, generated one at a time      72
Successors, limitation of      71—72
Sum cost of AND/OR solution trees      126—127
Surveys of artificial intelligence      12
Surveys of branch and bound methods      11
Surveys of methods for finding shortest paths      76
Surveys of proving the correctness of programs      213
Surveys of question answering      213
Surveys of the traveling—salesman problem (Bellmore and Nemhauser)      14
Surveys of theorem proving      184
Surveys of translators for computer languages      39
Syntax analysis as example of state-space problem solving      28—30
Syntax of predicate calculus      157—159
Tautologies      190n
Tautologies, elimination of      218
Terms      158
Theorem proving      7
Theorem proving in mathematics      214
Theorem proving in plane geometry      97
Theorem proving in predicate calculus      156—186
Theorem proving survey of      184 see
Theorem proving, implementations of programs for      230
Tic-tac-toe, minimax search applied to      139—140 141—143
Tic-tac-toe, three-dimensional      154(5—6)
Tip nodes in resolution proof graphs      219
Tip nodes of AXD/OR trees      128
Top node in an AFF proof graph      220
Tower-of-Hanoi puzzle      80—83
Tower-of-Hanoi puzzle, reduction to subproblems      81—83
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