Autonomous dynamic reconfiguration in multi agent systems: improving the quality and efficiency of collaborative problem solving
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2002
|
| Schriftenreihe: | Lecture notes in computer science
2427 : Lecture notes in artificial intelligence |
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010049330&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Beschreibung: | Includes bibliographical references and index |
| Umfang: | XVII, 284 S. graph. Darst. |
| ISBN: | 3540443126 |
Internformat
MARC
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| 008 | 021105s2002 gw d||| |||| 00||| eng d | ||
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| 100 | 1 | |a Hannebauer, Markus |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Autonomous dynamic reconfiguration in multi agent systems |b improving the quality and efficiency of collaborative problem solving |c Markus Hannebauer |
| 246 | 1 | 0 | |a multi-agent |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2002 | |
| 300 | |a XVII, 284 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computer science |v 2427 : Lecture notes in artificial intelligence | |
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Agents intelligents (Logiciels) | |
| 650 | 4 | |a Intelligence artificielle répartie | |
| 650 | 4 | |a Résolution de problème - Informatique | |
| 650 | 4 | |a Datenverarbeitung | |
| 650 | 4 | |a Distributed artificial intelligence | |
| 650 | 4 | |a Intelligent agents (Computer software) | |
| 650 | 4 | |a Problem solving |x Data processing | |
| 650 | 0 | 7 | |a Constraint |g Künstliche Intelligenz |0 (DE-588)4314755-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Rekonfiguration |0 (DE-588)4306238-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Autonomer Agent |0 (DE-588)4618883-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Problemlösen |0 (DE-588)4076358-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mehragentensystem |0 (DE-588)4389058-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Selbstorganisation |0 (DE-588)4126830-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Automatische Handlungsplanung |0 (DE-588)4211191-2 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Mehragentensystem |0 (DE-588)4389058-1 |D s |
| 689 | 0 | 1 | |a Problemlösen |0 (DE-588)4076358-4 |D s |
| 689 | 0 | 2 | |a Constraint |g Künstliche Intelligenz |0 (DE-588)4314755-0 |D s |
| 689 | 0 | 3 | |a Rekonfiguration |0 (DE-588)4306238-6 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Problemlösen |0 (DE-588)4076358-4 |D s |
| 689 | 1 | 1 | |a Automatische Handlungsplanung |0 (DE-588)4211191-2 |D s |
| 689 | 1 | 2 | |a Mehragentensystem |0 (DE-588)4389058-1 |D s |
| 689 | 1 | 3 | |a Autonomer Agent |0 (DE-588)4618883-6 |D s |
| 689 | 1 | 4 | |a Selbstorganisation |0 (DE-588)4126830-1 |D s |
| 689 | 1 | 5 | |a Rekonfiguration |0 (DE-588)4306238-6 |D s |
| 689 | 1 | |5 DE-604 | |
| 830 | 0 | |a Lecture notes in computer science |v 2427 : Lecture notes in artificial intelligence |w (DE-604)BV000000607 |9 2427 | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010049330&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-010049330 | |
Datensatz im Suchindex
| DE-BY-TUM_call_number | 0102 DAT 001z 2001 A 999-2427 |
|---|---|
| DE-BY-TUM_katkey | 1329129 |
| DE-BY-TUM_location | 01 |
| DE-BY-TUM_media_number | 040020131564 |
| _version_ | 1821934462554865665 |
| adam_text |
TABLE
OF
CONTENTS
PART
I.
INTRODUCTION
1.
OVERVIEW
.
3
1.1
MOTIVATION
AND
TARGETS
.
3
1.2
CORE
CONTRIBUTIONS
OF
THE
BOOK
.
5
1.2.1
THEORETICAL
FOUNDATIONS
.
5
1.2.2
PRACTICAL
CONCEPTS
.
6
1.2.3
ASSESSMENT
.
7
1.3
BOOK
OUTLINE
.
7
2.
BASICS
OF
COLLABORATIVE
PROBLEM
SOLVING
.
9
2.1
CONCEPTS,
MODELS
AND
TECHNOLOGIES
.
9
2.2
FROM
PROBLEM
SOLVING
TO
CONSTRAINT
TECHNOLOGY
.
11
2.2.1
PROBLEM
SOLVING
.
11
2.2.2
CONSTRAINT
PROBLEMS
.
12
2.2.3
CONSTRAINT
TECHNOLOGY
.
12
2.3
FROM
COLLABORATION
TO
AGENT
TECHNOLOGY
.
14
2.3.1
COLLABORATION
.
14
2.3.2
MULTI-AGENT
SYSTEMS
.
15
2.3.3
AGENT
TECHNOLOGY
.
17
2.4
FROM
COLLABORATIVE
PROBLEM
SOLVING
TO
DISTRIBUTED
CONSTRAINT
TECHNOLOGY
.
18
2.4.1
COLLABORATIVE
PROBLEM
SOLVING
.
18
2.4.2
DISTRIBUTED
CONSTRAINT
PROBLEMS
.
20
2.4.3
DISTRIBUTED
CONSTRAINT
TECHNOLOGY
.
20
2.5
IMPROVING
COLLABORATIVE
PROBLEM
SOLVING
.
21
2.5.1
PITFALLS
OF
COLLABORATIVE
PROBLEM
SOLVING
.
21
2.5.2
THE
IDEA
OF
AUTONOMOUS
DYNAMIC
RECONFIGURATION
.
22
X
TABLE
OF
CONTENTS
PART
II.
THEORETICAL
FOUNDATIONS
3.
DISTRIBUTED
CONSTRAINT
PROBLEMS
-
A
MODEL
FOR
COLLABORATIVE
PROBLEM
SOLVING
.
27
3.1
REQUIREMENTS
.
27
3.2
STATE
OF
THE
ART
.
28
3.3
CONSTRAINT
PROBLEMS
.
30
3.3.1
CONSTRAINT
SATISFACTION
PROBLEMS
.
30
3.3.2
CONSTRAINT
OPTIMIZATION
PROBLEMS
.
32
3.3.3
CONSTRAINT
PROCESSING
APPROACHES
AND
THEIR
PROPERTIES
33
3.3.4
TRACTABILITY
OF
CONSTRAINT
PROBLEMS
GIVEN
A
CONSTRAINT
PROCESSING
APPROACH
I
.
40
3.4
DISTRIBUTED
CONSTRAINT
PROBLEMS
.
44
3.4.1
DISTRIBUTED
CONSTRAINT
SATISFACTION
PROBLEMS
.
44
3.4.2
DISTRIBUTED
CONSTRAINT
OPTIMIZATION
PROBLEMS
.
46
3.5
VISUALIZING
CONSTRAINT
PROBLEMS
.
48
3.6
CASE
STUDY
-
MEDICAL
APPOINTMENT
SCHEDULING
.
49
3.6.1
IDENTIFYING
VARIABLES
.
51
3.6.2
IDENTIFYING
CONSTRAINTS
.
53
3.6.3
IDENTIFYING
THE
OPTIMIZATION
CRITERION
.
56
3.6.4
CONFIGURATION
AND
LOCAL
OPTIMIZATION
CRITERIA
.
56
4.
AUTONOMOUS
DYNAMIC
RECONFIGURATION
-
IMPROVING
COLLABORATIVE
PROBLEM
SOLVING
.
59
4.1
REQUIREMENTS
.
59
4.2
STATE
OF
THE
ART
.
60
4.2.1
REORGANIZATION
IN
MULTI-AGENT
SYSTEMS
.
60
4.2.2
LOAD
BALANCING
AND
GRAPH
PARTITIONING
.
62
4.3
AUREN
PROBLEM:
MODEL
AND
COMPLEXITY
.
62
4.3.1
IDENTIFYING
VARIABLES
.
63
4.3.2
IDENTIFYING
CONSTRAINTS
.
66
4.3.3
IDENTIFYING
THE
OPTIMIZATION
CRITERION
.
67
4.3.4
C
ONFIGURATION
PROBLEM
AND
ITS
COMPLEXITY
.
71
4.4
AUREX)N
CONCEPT:
STRUCTURE,
IMPACT
AND
SUFFICIENCY
.
74
4.4.1
INTRODUCTORY
EXAMPLE
.
74
4.4.2
AGENT
MELTING,
AGENT
SPLITTING
AND
RECONFIGURATION
TRANSACTIONS
.
77
4.4.3
RETAINING
THE
STRUCTURE
OF
THE
AUREN
PROBLEM
.
79
4.4.4
IMPACT
OF
THE
AUREN
CONCEPT
.
83
4.4.5 SUFFICIENCY
OF
THE
AUREN
CONCEPT
.
85
4.5
CONCURRENCY
AND
AUTONOMY
IN
A
U
REN
.
89
TABLE
OF
CONTENTS
XI
PART
III.
PRACTICAL
CONCEPTS
5.
MULTI-AGENT
SYSTEM
INFRASTRUCTURE
.
95
5.1
DEMANDED
CONTRIBUTION
TO
AUREX&N
.
95
5.2
STATE
OF
THE
ART
.
96
5.3
AGENT
COMMUNICATION
.
97
5.3.1
SPEECH
ACTS
.
97
5.3.2
MESSAGES
AND
CONVERSATIONS
.
99
5.3.3
INTERACTION
PROTOCOLS
.
100
5.4
AGENT
MANAGEMENT
.
105
5.4.1
OVERVIEW
.
105
5.4.2
TECHNICAL
COMMUNICATION
FACILITIES
IN
WORKSPACES
.
107
5.4.3
TECHNICAL
MANAGEMENT
FACILITIES
IN
WORKSPACES
.
109
5.4.4
ADDITIONAL
FACILITIES
IN
WORKSPACES
.
110
5.4.5
PROVISION,
RESPONSIBILITY
AND
VACANCY
DIRECTORIES
.
110
5.5
CASE
STUDY
-
OFF-THE-SHELF
TECHNOLOGY
FOR
MEDICAL
APPOINTMENT
SCHEDULING
.
112
6.
EXTERNAL
CONSTRAINT
PROBLEM
SOLVING
.
115
6.1
DEMANDED
CONTRIBUTION
TO
AUREN
.
115
6.2
STATE
OF
THE
ART
.
116
6.3
MULTI-PHASE
AGREEMENT
FINDING
.
119
6.3.1
BASICS
OF
THE
PROTOCOL
.
119
6.3.2
MODELING
THE
PROTOCOL
.
120
6.3.3
A
RUN
OF
THE
PROTOCOL
.
123
6.4
VERIFYING
MULTI-PHASE
AGREEMENT
FINDING
.
126
6.4.1
DESIRABLE
PROPERTIES
.
126
6.4.2
SAFETY
AND
PLACE
INVARIANTS
.
127
6.4.3
LIVENESS
AND
CAUSES
DEDUCTIONS
.
129
6.4.4
PROVING
CONSISTENCY
AND
TERMINATION
.
132
6.5
CASE
STUDY
-
MPAF
FOR
MEDICAL
APPOINTMENT
SCHEDULING
.
135
7.
COMPOSABLE
BDI
AGENTS
.
139
7.1
DEMANDED
CONTRIBUTION
TO
AUREN
.
139
7.2
STATE
OF
THE
ART
.
140
7.3
COMPOSABLE
BDI
AGENT
ARCHITECTURE
.
143
7.4
MENTAL
COMPONENTS
.
144
7.4.1
BELIEFS
.
144
7.4.2
DESIRES
.
146
7.4.3
GOALS
.
147
7.4.4
INTENTIONS
.
148
7.5
GENERIC
BDI
REASONING
KERNEL
.
152
7.5.1
SENSING
.
152
7.5.2
THINKING
.
152
XII
TABLE
OF
CONTENTS
7.5.3
ACTING
.
154
7.6
CASE
STUDY
-
COMPOSABLE
BDI
AGENTS
FOR
MEDICAL
APPOINTMENT
SCHEDULING
.
157
7.6.1
ASSIGNING
PATIENTS
AND
DIAGNOSTIC
UNITS
TO
AGENTS
.
158
7.6.2
COMPOSABLE
BDI
AGENTS
IN
THE
MPAF
PROPAGATION
PHASE
.
160
7.6.3
COMPOSABLE
BDI
AGENT
IN
THE
MPAF
LABELING
PHASE
.
163
8.
INTERNAL
CONSTRAINT
PROBLEM
SOLVING
.
167
8.1
DEMANDED
CONTRIBUTION
TO
AUREN
.
167
8.2
STATE
OF
THE
ART
.
168
8.3
DISTRIBUTION-AWARE
CONSTRAINT
SPECIFICATION
ARCHITECTURE
.
169
8.3.1
CONSTRAINT
OBJECTS
AND
FACTORIES
.
171
8.3.2
OPTIMIZATION
OBJECTS
AND
FACTORIES
.
172
8.3.3
SOLUTION
OBJECTS
AND
FACTORIES
.
174
8.3.4
PROPERTIES
OF
DACSA
.
177
8.4
CASE
STUDY
-
DACSA
FOR
MEDICAL
APPOINTMENT
SCHEDULING
.
179
8.4.1
CONSTRAINT
OBJECTS
AND
FACTORIES
.
179
8.4.2
OPTIMIZATION
OBJECTS
AND
FACTORIES
.
181
8.4.3
SOLUTION
OBJECTS
AND
FACTORIES
.
184
8.4.4
DACSA
IN
THE
MPAF
PROTOCOL
.
185
9.
CONTROLLING
AGENT
MELTING
AND
AGENT
SPLITTING
.
191
9.1
DEMANDED
CONTRIBUTION
TO
AUREN
.
191
9.2
STATE
OF
THE
ART
.
192
9.3
AUREGDN
CONTROLLER
.
192
9.4
CONTROL
ENVIRONMENT
AND
REPRESENTATION
.
194
9.4.1
MENTAL
COMPONENTS
FOR
CONTROL
ENVIRONMENT
REPRESENTATION
.
194
9.4.2
SELF-OBSERVATION
.
194
9.4.3
OBSERVATION
.
196
9.5
CONTROL
DECISIONS
.
198
9.5.1
MENTAL
COMPONENTS
FOR
CONTROL
DECISIONS
.
198
9.5.2
AGENT
SPLITTING
.
198
9.5.3
AGENT
MELTING
.
202
9.6
CONTROL
ACTIONS
.
206
9.6.1
MENTAL
COMPONENTS
FOR
CONTROL
ACTIONS
.
206
9.6.2
AGENT
SPLITTING
.
207
9.6.3
AGENT
MELTING
.
207
9.7
CASE
STUDY
-
AGENT
MELTING
AND
AGENT
SPLITTING
IN
MEDICAL
APPOINTMENT
SCHEDULING
.
211
TABLE
OF
CONTENTS
XIII
PART
IV.
ASSESSMENT
10.
EVALUATION
.
217
10.1
TARGETS
.
217
10.2
MEANS
.
218
10.2.1
TEST
SETS
AND
ASSIGNMENT
.
218
10.2.2
MONITORING
AND
EVALUATION
.
220
10.3
SCENARIO
.
222
10.3.1
PROBLEM
SETUP
.
222
10.3.2
COLLABORATIVE
PROBLEM
SOLVING
SETUP
.
223
10.3.3
CONFIGURATION
SETUP
.
224
10.4
RESULTS
.
225
10.4.1
FUNCTIONALITY
.
225
10.4.2
QUALITY
.
227
10.4.3
EFFICIENCY
.
229
11.
CONCLUSION
AND
FUTURE
WORK
.
235
PART
V.
APPENDIX
A.
SYMBOLS
AND
ABBREVIATIONS
.
241
B.
AN
XML-ENCODED
REQUEST
MESSAGE
.
249
C.
SICSTUS
PROLOG
CODE
FOR
INTERNAL
CONSTRAINT
PROBLEM
SOLVING
.
251
D.
INITIALIZATION
OF
THE
HOSPITAL
SCENARIO
GENERATOR
.
259
REFERENCES
.
265
SUBJECT
INDEX
.
281 |
| any_adam_object | 1 |
| author | Hannebauer, Markus |
| author_facet | Hannebauer, Markus |
| author_role | aut |
| author_sort | Hannebauer, Markus |
| author_variant | m h mh |
| building | Verbundindex |
| bvnumber | BV014861162 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.76.I58 |
| callnumber-search | QA76.76.I58 |
| callnumber-sort | QA 276.76 I58 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SS 4800 |
| classification_tum | DAT 708f DAT 703f |
| ctrlnum | (OCoLC)50906346 (DE-599)BVBBV014861162 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV014861162 |
| illustrated | Illustrated |
| indexdate | 2025-01-11T18:58:41Z |
| institution | BVB |
| isbn | 3540443126 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010049330 |
| oclc_num | 50906346 |
| open_access_boolean | |
| owner | DE-384 DE-91G DE-BY-TUM DE-739 DE-473 DE-BY-UBG DE-706 |
| owner_facet | DE-384 DE-91G DE-BY-TUM DE-739 DE-473 DE-BY-UBG DE-706 |
| physical | XVII, 284 S. graph. Darst. |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spellingShingle | Hannebauer, Markus Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving Lecture notes in computer science Agents intelligents (Logiciels) Intelligence artificielle répartie Résolution de problème - Informatique Datenverarbeitung Distributed artificial intelligence Intelligent agents (Computer software) Problem solving Data processing Constraint Künstliche Intelligenz (DE-588)4314755-0 gnd Rekonfiguration (DE-588)4306238-6 gnd Autonomer Agent (DE-588)4618883-6 gnd Problemlösen (DE-588)4076358-4 gnd Mehragentensystem (DE-588)4389058-1 gnd Selbstorganisation (DE-588)4126830-1 gnd Automatische Handlungsplanung (DE-588)4211191-2 gnd |
| subject_GND | (DE-588)4314755-0 (DE-588)4306238-6 (DE-588)4618883-6 (DE-588)4076358-4 (DE-588)4389058-1 (DE-588)4126830-1 (DE-588)4211191-2 |
| title | Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving |
| title_alt | multi-agent |
| title_auth | Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving |
| title_exact_search | Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving |
| title_full | Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving Markus Hannebauer |
| title_fullStr | Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving Markus Hannebauer |
| title_full_unstemmed | Autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving Markus Hannebauer |
| title_short | Autonomous dynamic reconfiguration in multi agent systems |
| title_sort | autonomous dynamic reconfiguration in multi agent systems improving the quality and efficiency of collaborative problem solving |
| title_sub | improving the quality and efficiency of collaborative problem solving |
| topic | Agents intelligents (Logiciels) Intelligence artificielle répartie Résolution de problème - Informatique Datenverarbeitung Distributed artificial intelligence Intelligent agents (Computer software) Problem solving Data processing Constraint Künstliche Intelligenz (DE-588)4314755-0 gnd Rekonfiguration (DE-588)4306238-6 gnd Autonomer Agent (DE-588)4618883-6 gnd Problemlösen (DE-588)4076358-4 gnd Mehragentensystem (DE-588)4389058-1 gnd Selbstorganisation (DE-588)4126830-1 gnd Automatische Handlungsplanung (DE-588)4211191-2 gnd |
| topic_facet | Agents intelligents (Logiciels) Intelligence artificielle répartie Résolution de problème - Informatique Datenverarbeitung Distributed artificial intelligence Intelligent agents (Computer software) Problem solving Data processing Constraint Künstliche Intelligenz Rekonfiguration Autonomer Agent Problemlösen Mehragentensystem Selbstorganisation Automatische Handlungsplanung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010049330&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000000607 |
| work_keys_str_mv | AT hannebauermarkus autonomousdynamicreconfigurationinmultiagentsystemsimprovingthequalityandefficiencyofcollaborativeproblemsolving AT hannebauermarkus multiagent |
Inhaltsverzeichnis
Paper/Kapitel scannen lassen
Paper/Kapitel scannen lassen
Teilbibliothek Mathematik & Informatik
| Signatur: |
0102 DAT 001z 2001 A 999-2427 Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |