Learning search control knowledge for equational deduction:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
Akad. Verl.-Ges. Aka
2000
|
| Schriftenreihe: | Dissertationen zur künstlichen Intelligenz
230 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: München, Techn. Univ., Diss., 2000 |
| Beschreibung: | XIII, 182 S. 21 cm |
| ISBN: | 3898382303 |
Internformat
MARC
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| 245 | 1 | 0 | |a Learning search control knowledge for equational deduction |c Stephan Schulz |
| 264 | 1 | |a Berlin |b Akad. Verl.-Ges. Aka |c 2000 | |
| 300 | |a XIII, 182 S. |b 21 cm | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 1 | |a Dissertationen zur künstlichen Intelligenz |v 230 | |
| 500 | |a Zugl.: München, Techn. Univ., Diss., 2000 | ||
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Datensatz im Suchindex
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| adam_text |
CONTENTS
PREFACE
V
ACKNOWLEDGMENTS
VI
ABSTRACT
VII
1
INTRODUCTION
1
1.1
EQUATIONAL
THEOREM
PROVING
.
2
1.2
LEARNING
SEARCH
CONTROL
KNOWLEDGE
.
3
1.3
CONCEPTION
OF
A
LEARNING
THEOREM
PROVER
.
4
1.4
OVERVIEW
OF
THE
THESIS
.
4
2
BASIC
CONCEPTS
OF
EQUATIONAL
DEDUCTION
6
2.1
GENERAL
PRELIMINARIES
.
7
2.2
GRAPHS
AND
TYEES
.
10
2.3
TERMS
.
12
2.4
EQUATIONS
AND
REWRITE
SYSTEMS
.
16
2.5
CLAUSES
AND
FORMULAE
.
18
2.6
SEMANTICS
.
20
2.7
SUPERPOSITION-BASED
THEOREM
PROVING
.
21
2.8
SUMMARY
.
30
3
LEARNING
SEARCH
CONTROL
KNOWLEDGE
32
3.1
EXPERIENCE
GENERATION
AND
ANALYSIS
.
32
3.2
KNOWLEDGE
SELECTION
AND
PREPARATION
.
35
3.3
KNOWLEDGE
APPLICATION
.
36
3.4
OUR
APPROACH
.
37
4
SEARCH
CONTROL
IN
SUPERPOSITION-BASED
THEOREM
PROVING
38
4.1
THE
SEARCH
PROBLEM
.
38
4.2
PROOF
PROCEDURE
AND
CHOICE
POINTS
.
42
4.2.1
TERM
ORDERINGS
.
47
4.2.2
REWRITING
STRATEGY
.
48
4.2.3
CLAUSE
SELECTION
.
50
4.2.4
LITERAL
SELECTION
.
52
4.3
CLAUSE
SELECTION
AND
CONVENTIONAL
EVALUATION
FUNCTIONS
.
53
4.4
SUMMARY
.
61
5
REPRESENTING
SEARCH
CONTROL
KNOWLEDGE
63
5.1
NUMERICAL
FEATURES
.
64
5.2
TERM
AND
CLAUSE
PATTERNS
.
67
5.3
PROOF
REPRESENTATION
AND
EXAMPLE
GENERATION
.
76
5.3.1
SELECTING
REPRESENTATIVE
CLAUSES
.
79
5.3.2
ASSIGNING
CLAUSE
STATISTICS
.
80
5.4
SUMMARY
.
81
6
TERM
SPACE
MAPS
82
6.1
TERM-BASED
LEARNING
ALGORITHMS
.
82
6.2
TERM
SPACE
PARTITIONING
.
85
6.3
TERM
SPACE
MAPPING
WITH
STATIC
INDEX
FUNCTIONS
.
90
6.4
DYNAMIC
SELECTION
OF
INDEX
FUNCTIONS
.
98
6.5
SUMMARY
.
102
7
THE
E/TSM
ATP
SYSTEM
103
7.1
THE
KNOWLEDGE
BASE
.
104
7.2
PROOF
EXAMPLE
SELECTION
.
105
7.3
THE
LEARNING
MODULE
.
107
7.4
KNOWLEDGE
APPLICATION
.
110
7.5
SUMMARY
.
112
8
EXPERIMENTAL
RESULTS
113
8.1
ARTIFICIAL
CLASSIFICATION
PROBLEMS
.
113
8.1.1
EXPERIMENTAL
SETUP
.
113
8.1.2
RECOGNIZING
SMALL
TERMS
.
116
8.1.3
RECOGNIZING
TERM
PROPERTIES
.
118
8.1.4
MEMORIZATION
.
122
8.1.5
DISCUSSION
.
123
8.2
SEARCH
CONTROL
.
124
8.2.1
GENERAL
OBSERVATIONS
.
125
8.2.2
PERFORMANCE
WITH
KBI
.
127
8.2.3
PERFORMANCE
WITH
KB2
.
129
8.2.4
OVERHEAD
.
131
8.2.5
DISCUSSION
.
135
8.3
SUMMARY
.
135
IX
9
FUTURE
WORK
137
9.1
PROOF
ANALYSIS
.
137
9.2
KNOWLEDGE
SELECTION
AND
REPRESENTATION
.
138
9.3
TERM-BASED
LEARNING
ALGORITHMS
.
139
9.4
DOMAIN
ENGINEERING
AND
APPLICATIONS
.
139
9.5
OTHER
WORK
.
140
10
CONCLUSION
142
A
THE
E
EQUATIONAL
THEOREM
PROVER
-
CONVENTIONAL
FEATURES
144
A.L
INFERENCE
ENGINE
.
145
A.
1.1
SHARED
TERMS
AND
REWRITING
.
145
A.L.
2
MATCHING
AND
UNIFICATION
.
148
A.
1.3
TERM
ORDERINGS
.
149
A.2
SEARCH
CONTROL
.
151
A.2.1
CLAUSE
SELECTION
.
151
A.2.
2
LITERAL
SELECTION
.
152
A.
2.3
AUTOMATIC
PROVER
CONFIGURATION
.
153
B
SPECIFICATION
OF
PROOF
PROBLEMS
155
B.L
INVCOM
.
155
B.2
B00007-2
.
156
B.3
LUSK6
.
157
B.4
HEN011-3
.
158
B.5
PUZ031-1
.
159
B.6
SET103-6
.
163 |
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| id | DE-604.BV013509395 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-20T00:39:07Z |
| institution | BVB |
| isbn | 3898382303 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009222640 |
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| physical | XIII, 182 S. 21 cm |
| publishDate | 2000 |
| publishDateSearch | 2000 |
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| publisher | Akad. Verl.-Ges. Aka |
| record_format | marc |
| series | Dissertationen zur künstlichen Intelligenz |
| series2 | Dissertationen zur künstlichen Intelligenz |
| spelling | Schulz, Stephan Verfasser aut Learning search control knowledge for equational deduction Stephan Schulz Berlin Akad. Verl.-Ges. Aka 2000 XIII, 182 S. 21 cm txt rdacontent n rdamedia nc rdacarrier Dissertationen zur künstlichen Intelligenz 230 Zugl.: München, Techn. Univ., Diss., 2000 Automatic theorem proving Heuristic programming Suchverfahren (DE-588)4132315-4 gnd rswk-swf Klausellogik (DE-588)4293051-0 gnd rswk-swf Automatisches Beweisverfahren (DE-588)4069034-9 gnd rswk-swf Heuristik (DE-588)4024772-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Gleichungstheorie (DE-588)4226572-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Automatisches Beweisverfahren (DE-588)4069034-9 s Klausellogik (DE-588)4293051-0 s Gleichungstheorie (DE-588)4226572-1 s Maschinelles Lernen (DE-588)4193754-5 s Suchverfahren (DE-588)4132315-4 s Heuristik (DE-588)4024772-7 s DE-604 Dissertationen zur künstlichen Intelligenz 230 (DE-604)BV005345280 230 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009222640&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Schulz, Stephan Learning search control knowledge for equational deduction Dissertationen zur künstlichen Intelligenz Automatic theorem proving Heuristic programming Suchverfahren (DE-588)4132315-4 gnd Klausellogik (DE-588)4293051-0 gnd Automatisches Beweisverfahren (DE-588)4069034-9 gnd Heuristik (DE-588)4024772-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Gleichungstheorie (DE-588)4226572-1 gnd |
| subject_GND | (DE-588)4132315-4 (DE-588)4293051-0 (DE-588)4069034-9 (DE-588)4024772-7 (DE-588)4193754-5 (DE-588)4226572-1 (DE-588)4113937-9 |
| title | Learning search control knowledge for equational deduction |
| title_auth | Learning search control knowledge for equational deduction |
| title_exact_search | Learning search control knowledge for equational deduction |
| title_full | Learning search control knowledge for equational deduction Stephan Schulz |
| title_fullStr | Learning search control knowledge for equational deduction Stephan Schulz |
| title_full_unstemmed | Learning search control knowledge for equational deduction Stephan Schulz |
| title_short | Learning search control knowledge for equational deduction |
| title_sort | learning search control knowledge for equational deduction |
| topic | Automatic theorem proving Heuristic programming Suchverfahren (DE-588)4132315-4 gnd Klausellogik (DE-588)4293051-0 gnd Automatisches Beweisverfahren (DE-588)4069034-9 gnd Heuristik (DE-588)4024772-7 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Gleichungstheorie (DE-588)4226572-1 gnd |
| topic_facet | Automatic theorem proving Heuristic programming Suchverfahren Klausellogik Automatisches Beweisverfahren Heuristik Maschinelles Lernen Gleichungstheorie Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009222640&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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