Finite domain constraints: declarativity meets efficiency - theory meets application
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Sankt Augustin
Infix
1995
|
Schriftenreihe: | Dissertationen zur künstlichen Intelligenz
79 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Zugl.: Kaiserslautern, Univ., Diss., 1994 |
Beschreibung: | 167 S. graph. Darst. |
ISBN: | 3929037793 |
Internformat
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100 | 1 | |a Meyer, Manfred |e Verfasser |4 aut | |
245 | 1 | 0 | |a Finite domain constraints |b declarativity meets efficiency - theory meets application |c Manfred Meyer |
264 | 1 | |a Sankt Augustin |b Infix |c 1995 | |
300 | |a 167 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
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490 | 1 | |a Dissertationen zur künstlichen Intelligenz |v 79 | |
500 | |a Zugl.: Kaiserslautern, Univ., Diss., 1994 | ||
650 | 4 | |a Constraint programming (Computer science) | |
650 | 4 | |a Constraints (Artificial intelligence) | |
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650 | 0 | 7 | |a Deklarative Programmierung |0 (DE-588)4293503-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Erfüllbarkeitsproblem |0 (DE-588)4323820-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Constraint-logische Programmierung |0 (DE-588)4382849-8 |2 gnd |9 rswk-swf |
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943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-006630675 |
Datensatz im Suchindex
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adam_text |
CONTENTS
1
INTRODUCTION
11
1.1
THE
WORLD
OF
CONSTRAINT
SATISFACTION
PROBLEMS
.
12
1.2
DECLARATIVITY
COMPETES
EFFICIENCY
.
16
1.3
THE
ROLE
OF
FINITE
DOMAIN
CONSTRAINTS
.
19
1.4
OUTLINE
OF
THE
THESIS
.
20
2
BASIC
CONCEPTS
AND
VIEWS
ON
CONSTRAINT
SATISFACTION
23
2.1
FORMULATING
CONSTRAINT
SATISFACTION
PROBLEMS
.
24
2.1.1
VARIABLES
AND
DOMAINS
.
25
2.1.2
ASSIGNING
VALUES
TO
VARIABLES
.
25
2.1.3
CONSTRAINTS
.
26
2.1.4
SATISFYING
A
CONSTRAINT
.
27
2.1.5
FORMAL
DEFINITION
OF
THE
CONSTRAINT
SATISFACTION
PROBLEM
.
28
2.1.6
BINARY
CONSTRAINT
SATISFACTION
PROBLEMS
.
29
2.2
A
LOGICAL
VIEW
ON
CONSTRAINT
SATISFACTION
.
30
2.2.1
FINITE
CONSTRAINT
SATISFACTION
ELS
THEOREM
PROVING
.
30
2.2.2
FINITE
CONSTRAINT
SATISFACTION
DECISION
PROBLEMS
.
31
2.2.3
LOGICAL
REPRESENTATION
AND
REASONING
SYSTEMS
.
33
2.2.4
FCS
AS
PROPOSITIONAL
THEOREM
PROVING
.
34
2.2.5
FCS
AS
THEOREM
PROVING
IN
DEFINITE
THEORIES
.
36
2.2.6
FCS
AS
DATALOG
.
37
2.2.7
FCS
IN
CONSTRAINT
NETWORKS
.
37
2.2.8
AN
ARC-CONSISTENCY
REWRITE
SYSTEM
FOR
FCSPS
.
40
2.2.9
RELATIONS
TO
CONSTRAINT
LOGIC
PROGRAMMING
.
42
2.3
TOWARDS
EFFICIENT
CONSTRAINT
SATISFACTION
.
43
2.3.1
FROM
GENERATE-AND-TEST
TO
BACKTRACKING
.
44
2.3.2
A
GENERIC
BACKTRACKING
ALGORITHM
FOR
SOLVING
FCSPS
.
44
8
CONTENTS
2.4
DISCUSSION
AND
DIRECTIONS
FOR
FURTHER
WORK
.
46
3
CONSTRAINT
PROPAGATION
IN
C
ONTAX
47
3.1
CONSTRAINT
PROPAGATION
TECHNIQUES
.
47
3.1.1
ARC
CONSISTENCY
.
47
3.1.2
HIGHER-LEVEL
CONSISTENCY
.
51
3.1.3
BACKTRACK-FREE
SEARCH
.
52
3.2
THE
C
ONTAX
SYSTEM
.
55
3.2.1
THE
BASIC
CONSISTENCY
ALGORITHM
IN
C
ONTAX
.
55
3.2.2
TERMINATION
AND
COMPLEXITY
CONSIDERATIONS
.
59
3.2.3
THE
CONTAX
SYSTEM
ARCHITECTURE
.
60
3.2.4
A
USER
'S
VIEW
ON
CONTAX
.
62
3.3
DISCUSSION
AND
RELATED
WORK
.
66
4
PARTIAL
CONSTRAINT
SATISFACTION
AND
CONSTRAINT
RELAXATION
69
4.1
PARTIAL
CONSTRAINT
SATISFACTION
PROBLEMS
.
69
4.2
CONSTRAINT
RELAXATION
TECHNIQUES
.
71
4.2.1
MAXIMAL
CONSTRAINT
SATISFACTION
.
71
4.2.2
OPTIMAL
CONSTRAINT
SATISFACTION
.
75
4.3
CONSTRAINT
RELAXATION
IN
C
ONTAX
.
77
4.3.1
A
FORMAL
DEFINITION
OF
PARTIAL
CONSTRAINT
SATISFACTION
.
77
4.3.2
ENFORCING
HYPERARC-CONSISTENCY
IN
PCSP
SOLVING
.
79
4.3.3
TERMINATION
OF
THE
GENERATEBESTSOLUTION
ALGORITHM
.
81
4.3.4
WEIGHTED
CONSTRAINTS
AND
WEIGHTED
VALUE
COMBINATIONS
.
83
4.3.5
A
USER'S
VIEW
ON
WEIGHTED
CONSTRAINTS
IN
CONTAX
.
85
4.4
INCREMENTAL
STRENGTHENING
OF
A
DISCRETE
PCSP
.
88
4.5
DISCUSSION
AND
RELATED
WORK
.
89
5
CONSTRAINT
SATISFACTION
OVER
HIERARCHICALLY
STRUCTURED
DOMAINS
91
5.1
HIERARCHICALLY
STRUCTURED
DOMAINS
.
91
5.2
HIERARCHICAL
HYPERARC-CONSISTENCY
.
94
5.2.1
THE
HIERARCHICAL
DOMAIN
PREDICATES
AC
AND
S
C
.
95
5.2.2
INDUCTIVE
COMPUTATION
OF
THE
HIERARCHICAL
PREDICATES
.
95
5.3
A
HIERARCHICAL
HYPERARC-CONSISTENCY
ALGORITHM
.
98
5.3.1
CORRECTNESS
AND
TERMINATION
.
100
CONTENTS
9
5.3.2
SOLVING
CSPS
OVER
HIERARCHICALLY
STRUCTURED
DOMAINS
.
100
5.4
HIERARCHICALLY
STRUCTURED
DOMAINS
IN
CONTAX
.
102
5.4.1
REPRESENTING
HIERARCHICAL
DOMAINS
.
102
5.4.2
USING
T
AXON
TAXONOMIES
AS
HIERARCHICAL
DOMAINS
.
102
5.4.3
CONSTRAINTS
OVER
HIERARCHICAL
DOMAINS
.
103
5.4.4
THE
HIERARCHICAL
MAP-COLORING
PROBLEM
IN
CONTAX
.
105
5.5
DISCUSSION
AND
RELATED
WORK
.
108
6
FINITE
DOMAIN
CONSTRAINTS
IN
LOGIC
PROGRAMMING
109
6.1
CONSISTENCY
TECHNIQUES
IN
LOGIC
PROGRAMMING
.
110
6.1.1
CONSTRAINT
LOGIC
PROGRAMMING
.
110
6.1.2
REQUIREMENTS
FOR
FINITE
DOMAIN
CONSISTENCY
TECHNIQUES
.
ILL
6.1.3
FINITE
DOMAINS
IN
LOGIC
PROGRAMMING
.
112
6.1.4
CONSTRAINTS
IN
LOGIC
PROGRAMMING
.
112
6.1.5
FORWARD-CHECKING
.
113
6.1.6
LOOKING-AHEAD
.
114
6.2
HOW
MUCH
CONSTRAINT
PROPAGATION
IS
USEFUL?
.
116
6.3
WEAK
LOOKING-AHEAD
.
117
6.4
USING
WEAK
LOOKING-AHEAD
FOR
MAP-COLORING
.
119
6.5
FINITE
DOMAIN
CONSISTENCY
TECHNIQUES
IN
FLDO
.
124
6.5.1
THE
META-INTERPRETATION
APPROACH
.
125
6.5.2
THE
HORIZONTAL
COMPILATION
APPROACH
.
125
6.5.3
THE
VERTICAL
COMPILATION
APPROACH
.
126
6.6
DISCUSSION
AND
RELATED
WORK
.
128
7
PARALLEL
CONSTRAINT
SATISFACTION
IN
LOGIC
PROGRAMMING
129
7.1
PARALLEL
LOGIC
PROGRAMMING
.
129
7.2
WHAT
PARALLELISM
TO
EXPLOIT?
.
130
7.3
SUPPORTING
OR-PARALLELISM
IN
FLDO
.
131
7.3.1
THE
PROBLEM
.
131
7.3.2
A
COPY
SOLUTION
.
132
7.3.3
AVOIDING
COPYING
.
132
7.3.4
AVOIDING
TRAILING
.
133
7.4
DISCUSSION
AND
RELATED
WORK
.
133
10
CONTENTS
8
APPLICATIONS
135
8.1
THE
CAPP
APPLICATION
SCENARIO
.
135
8.2
THE
LATHE-TOOL
SELECTION
PROBLEM
.
137
8.3
THE
LATHE-TOOL
SELECTION
PROBLEM
AS
A
CSP
.
139
8.4
USING
CONTAX
FOR
LATHE-TOOL
SELECTION
.
141
8.4.1
HIERARCHICALLY
STRUCTURED
DOMAINS
.
141
8.4.2
WEIGHTED
CONSTRAINTS
.
142
8.5
DISCUSSION
.
142
8.6
USING
FINITE
DOMAIN
CONSTRAINTS
FOR
UNIVERSITY
SPORTS
SCHEDULING
.
143
9
CONCLUSIONS
147
BIBLIOGRAPHY
149
PART
A:
REFERENCES
.
149
PART
B:
RELATED
PUBLICATIONS
OF
THE
AUTHOR
.
160
PART
C:
RELATED
WORK
BY
THE
AUTHOR
'
S
STUDENTS
.
162 |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV010001594 |
illustrated | Illustrated |
indexdate | 2024-08-14T01:21:00Z |
institution | BVB |
isbn | 3929037793 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006630675 |
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open_access_boolean | |
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owner_facet | DE-29T DE-91G DE-BY-TUM DE-11 |
physical | 167 S. graph. Darst. |
publishDate | 1995 |
publishDateSearch | 1995 |
publishDateSort | 1995 |
publisher | Infix |
record_format | marc |
series | Dissertationen zur künstlichen Intelligenz |
series2 | Dissertationen zur künstlichen Intelligenz |
spelling | Meyer, Manfred Verfasser aut Finite domain constraints declarativity meets efficiency - theory meets application Manfred Meyer Sankt Augustin Infix 1995 167 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Dissertationen zur künstlichen Intelligenz 79 Zugl.: Kaiserslautern, Univ., Diss., 1994 Constraint programming (Computer science) Constraints (Artificial intelligence) Endliche Menge (DE-588)4381050-0 gnd rswk-swf Constraint Künstliche Intelligenz (DE-588)4314755-0 gnd rswk-swf Deklarative Programmierung (DE-588)4293503-9 gnd rswk-swf Erfüllbarkeitsproblem (DE-588)4323820-8 gnd rswk-swf Constraint-logische Programmierung (DE-588)4382849-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Erfüllbarkeitsproblem (DE-588)4323820-8 s Endliche Menge (DE-588)4381050-0 s Deklarative Programmierung (DE-588)4293503-9 s DE-604 Constraint Künstliche Intelligenz (DE-588)4314755-0 s Constraint-logische Programmierung (DE-588)4382849-8 s Dissertationen zur künstlichen Intelligenz 79 (DE-604)BV005345280 79 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006630675&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Meyer, Manfred Finite domain constraints declarativity meets efficiency - theory meets application Dissertationen zur künstlichen Intelligenz Constraint programming (Computer science) Constraints (Artificial intelligence) Endliche Menge (DE-588)4381050-0 gnd Constraint Künstliche Intelligenz (DE-588)4314755-0 gnd Deklarative Programmierung (DE-588)4293503-9 gnd Erfüllbarkeitsproblem (DE-588)4323820-8 gnd Constraint-logische Programmierung (DE-588)4382849-8 gnd |
subject_GND | (DE-588)4381050-0 (DE-588)4314755-0 (DE-588)4293503-9 (DE-588)4323820-8 (DE-588)4382849-8 (DE-588)4113937-9 |
title | Finite domain constraints declarativity meets efficiency - theory meets application |
title_auth | Finite domain constraints declarativity meets efficiency - theory meets application |
title_exact_search | Finite domain constraints declarativity meets efficiency - theory meets application |
title_full | Finite domain constraints declarativity meets efficiency - theory meets application Manfred Meyer |
title_fullStr | Finite domain constraints declarativity meets efficiency - theory meets application Manfred Meyer |
title_full_unstemmed | Finite domain constraints declarativity meets efficiency - theory meets application Manfred Meyer |
title_short | Finite domain constraints |
title_sort | finite domain constraints declarativity meets efficiency theory meets application |
title_sub | declarativity meets efficiency - theory meets application |
topic | Constraint programming (Computer science) Constraints (Artificial intelligence) Endliche Menge (DE-588)4381050-0 gnd Constraint Künstliche Intelligenz (DE-588)4314755-0 gnd Deklarative Programmierung (DE-588)4293503-9 gnd Erfüllbarkeitsproblem (DE-588)4323820-8 gnd Constraint-logische Programmierung (DE-588)4382849-8 gnd |
topic_facet | Constraint programming (Computer science) Constraints (Artificial intelligence) Endliche Menge Constraint Künstliche Intelligenz Deklarative Programmierung Erfüllbarkeitsproblem Constraint-logische Programmierung Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006630675&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV005345280 |
work_keys_str_mv | AT meyermanfred finitedomainconstraintsdeclarativitymeetsefficiencytheorymeetsapplication |