Ontology based multi-agent systems:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2009
|
| Schriftenreihe: | Studies in computational intelligence
219 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHN01 FHR01 Volltext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | 1 Online-Ressource (XIV, 273 S.) Ill. |
| ISBN: | 9783642019036 9783642019043 |
| DOI: | 10.1007/978-3-642-01904-3 |
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Datensatz im Suchindex
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|---|---|
| adam_text | IMAGE 1
CONTENTS
CURRENT ISSUES AND THE NEED FOR ONTOLOGIES AND AGENTS 1 1.1 INTRODUCTION
1
1.2 INFORMATION VARIETY 1
1.3 HINDRANCES TO SUCCESSFUL INFORMATION RETRIEVAL 2
1.3.1 DISTRIBUTED AND HETEROGENEOUS INFORMATION WITHOUT SEMANTICS 3
1.3.2 UNDERLYING KNOWLEDGE BASE IS NOT AVAILABLE 4
1.3.3 AUTONOMOUS, HETEROGENEOUS AND DYNAMIC INFORMATION RESOURCES 4
1.4 INFORMATION RETRIEVAL IN SCIENCE 4
1.5 SEARCH ENGINES 7
1.6 WEB SEMANTICS 9
1.7 AGENTS FOR DYNAMIC INFORMATION RETRIEVAL 11
1.8 ONTOLOGIES FOR INTELLIGENT INFORMATION RETRIEVAL 12
1.9 CONCLUSION 12
REFERENCES 12
INTRODUCTION TO MULTI-AGENT SYSTEMS 15
2.1 INTRODUCTION 15
2.2 AGENT DEFINITION 15
2.3 AGENT S ENVIRONMENT 16
2.4 AGENT S CHARACTERISTICS 17
2.5 INTERNAL DATA STRUCTURE OF AGENTS 18
2.6 MOBILE AGENTS 19
2.7 DEPENDENCY RELATIONSHIPS BETWEEN AGENTS 22
2.8 AGENT S COMMUNICATION 24
2.8.1 COMMUNICATION PARTIES 24
2.8.2 COMMUNICATION PLACE 24
2.8.3 COMMUNICATION TIME 24
2.8.4 COMMUNICATION LANGUAGES 25
2.8.4.1 DESIRED FEATURES OF AGENT COMMUNICATION LANGUAGES 25
2.8.4.2 AGENT COMMUNICATION LANGUAGES 26
2.8.4.3 ONTOLOGIES FOR AGENT COMMUNICATION 28 2.9 COLLABORATIVE
PROBLEM-SOLVING PROCESS IN MULTI-AGENT SYSTEMS... 29 2.10 DIFFERENT
TYPES OF AGENTS 30
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/993987451
DIGITALISIERT DURCH
IMAGE 2
VIII CONTENTS
2.10.1 HAAG S CLASSIFICATION 30
2.10.2 DILLENBOURG ET AL. S AGENTS CLASSIFICATION 31
2.10.3 MAES S CLASSIFICATION 32
2.10.4 CLASSIFICATION ACCORDING AGENT S FUNCTIONS 33
2.11 CONCLUSION 34
REFERENCES 35
3 INTRODUCTION TO ONTOLOGY 37
3.1 INTRODUCTION 37
3.2 ONTOLOGY ORIGINS 37
3.3 ONTOLOGY DEFINITION 38
3.4 ONTOLOGY COMMITMENTS 40
3.5 ONTOLOGY COMMUNITY 41
3.6 GENERALIZATION/SPECIALIZATION OF ONTOLOGIES 41
3.7 PROPERTIES OF ONTOLOGIES 43
3.8 CHARACTERISTICS OF ONTOLOGY MODELS 44
3.9 REPRESENTATION OF ONTOLOGY DOMAIN 47
3.10 ONTOLOGY DESIGN VERSUS DATA MODELLING 47
3.11 ONTOLOGY VERSUS KNOWLEDGE BASE 49
3.12 CLASSIFICATION OF ONTOLOGIES 51
3.12.1 DEGREE OF FORMALITY 52
3.12.2 DEGREE OF GRANULARITY 53
3.12.3 LEVEL OF GENERALITY 53
3.12.4 AMOUNT, TYPE AND SUBJECT OF CONCEPTUALIZATION 54 3.12.5
EXPRESSIVENESS OF ONTOLOGIES 56
3.13 CONCLUSION 58
REFERENCES 59
4 DESIGN APPROACHES FOR MULTI-AGENT-BASED SYSTEMS 61
4.1 INTRODUCTION 61
4.2 AGENT DESIGN CRITERIA 61
4.3 AGENT DESIGN METHODOLOGIES 62
4.3.1 BELIEF, DESIRE AND INTENTION (BDI) APPROACH 62
4.3.2 GAIA 63
4.3.3 AGENT UML 64
4.3.4 AGENTS IN Z 65
4.3.5 DESIRE 66
4.3.6 CASSIOPEIA 67
4.3.7 MULTI-AGENT SYSTEM ENGINEERING 69
4.3.8 TROPOS 70
4.3.9 PROMETHEUS 71
4.4 CONCLUSION 72
REFERENCES 74
IMAGE 3
CONTENTS IX
5 ONTOLOGY DESIGN APPROACHES 75
5.1 INTRODUCTION 75
5.2 ONTOLOGY DESIGN CRITERIA 75
5.3 ONTOLOGY DESIGN METHODOLOGIES 77
5.3.1 KNOWLEDGE ENGINEERING METHODOLOGY 77
5.3.2 DOGMA 82
5.3.3 TOVE METHODOLOGY 83
5.3.4 METHONTOLOGY 86
5.3.5 SENSUS METHODOLOGY 87
5.3.6 DILIGENT METHODOLOGY 89
5.4 CONCLUSION 90
REFERENCES 90
6 SIGNIFICANCE OF ONTOLOGIES, AGENTS AND THEIR INTEGRATION 93 6.1
INTRODUCTION 93
6.2 ADVANTAGES OF ONTOLOGIES 93
6.2.1 ONTOLOGIES FOR DATA SEMANTICS 93
6.2.2 ONTOLOGIES AS BASIS FOR KNOWLEDGE SHARING 94
6.2.3 ONTOLOGIES AS BASIS FOR KNOWLEDGE REPRESENTATION 98 6.2.4
ONTOLOGIES AS BASIS FOR KNOWLEDGE MANAGEMENT 98 6.2.5 ONTOLOGIES FOR
INTELLIGENT INFORMATION RETRIEVAL 99 6.2.6 ONTOLOGIES FOR MEDIATION 99
6.2.7 ONTOLOGIES FOR NATURAL LANGUAGE APPLICATIONS 100 6.3 ADVANTAGES OF
AGENT-BASED SYSTEMS 101
6.3.1 AGENTS ARE AUTONOMOUS 102
6.3.2 AGENTS SUPPORT COMPUTATIONAL INTELLIGENCE 103
6.3.3 DISTRIBUTED MOBILE AGENT-BASED COMPUTING 103 6.3.4 AGENTS
COLLABORATION AND COOPERATION IN THEIR ACTIVITIES 105 6.3.5 AGENTS
SUPPORT AUTOMATED SERVICE DISCOVERY 105 6.4 ONTOLOGY AND AGENT-BASED
SYSTEMS COMPLEMENTING EACH OTHER... 106 6.4.1 PROBLEM DECOMPOSITION 106
6.4.2 LOCATING AND RETRIEVING OF INFORMATION 107
6.4.3 AGENT COMMUNICATION 107
6.4.4 INFORMATION ANALYSIS AND MANIPULATION 108
6.5 CONCLUSION 109
REFERENCES 109
7 DESIGN METHODOLOGY FOR INTEGRATED SYSTEMS - PART I (ONTOLOGY DESIGN) 1
1 1
7.1 INTRODUCTION ILL
7.2 GENERALIZATION AND CONCEPTUALIZATION OF THE DOMAIN 111 7.2.1
ONTOLOGY COMMUNITIES ILL
7.2.2 PURPOSE OF THE ONTOLOGY 112
7.2.3 ONTOLOGY DOMAIN 113
7.2.4 APPLICATION OF THE ONTOLOGY 114
7.3 ALIGNING AND MERGING ONTOLOGIES 115
IMAGE 4
X CONTENTS
7.3.1 IDENTIFY SUITABLE ONTOLOGIES FOR REUSE 115
7.3.2 DEFINE MERGING AND ALIGNMENT TOOL 116
7.3.3 IMPORT THE SOURCE ONTOLOGIES 116
7.3.4 IDENTIFY ONTOLOGY CORRESPONDENCES 117
7.3.5 ALIGN AND/OR MERGE ONTOLOGIES 117
7.4 FORMAL SPECIFICATION OF CONCEPTUALIZATION 118
7.4.1 ONTOLOGY CONCEPTS 119
7.4.2 RELATIONSHIPS BETWEEN CONCEPTS 119
7.4.3 GROUPS OF RELATED CONCEPTS 119
7.5 FORMAL SPECIFICATION OF ONTOLOGY COMMITMENTS 120
7.5.1 IDENTIFY THE ONTOLOGY COMMITMENTS 120
7.5.2 FORMALIZE THE COMMITMENTS 121
7.5.3 IDENTIFY REUSABLE KNOWLEDGE COMPONENTS 121
7.6 ONTOLOGY EVALUATION 122
7.6.1 ONTOLOGY DESIGN QUALITY EVALUATION 122
7.6.2 ONTOLOGY USABILITY EVALUATION 123
7.7 OVERVIEW OF THE ONTOLOGY DEVELOPMENT 123
7.8 CONCLUSION 125
REFERENCES 126
8 DESIGN METHODOLOGY FOR INTEGRATED SYSTEMS - PART II (MULTI-AGENT
SYSTEM DESIGN) 127
8.1 INTRODUCTION 127
8.2 OVERVIEW OF THE AGENT METHODOLOGY 127
8.3 CLASSIFICATION OF AGENTS ACCORDING TO THEIR RESPONSIBILITIES 128
8.3.1 ESTABLISH INTUITIVE FLOW OF PROBLEM SOLVING, TASK AND RESULT
SHARING 129
8.3.2 IDENTIFY CORRESPONDING AGENT FUNCTIONS 129
8.3.3 IDENTIFY CORRESPONDING AGENT TYPES 130
8.4 IDENTIFY THE NEED FOR AN ONTOLOGY TO SUPPORT AGENT S INTELLIGENCE
131
8.4.1 PROBLEM DECOMPOSITION 131
8.4.2 INFORMATION RETRIEVAL 132
8.4.3 AGENT COMMUNICATION 132
8.4.4 INFORMATION ANALYSIS AND MANIPULATION 132
8.4.5 MEANINGFUL INFORMATION PRESENTATION 133
8.5 DEFINE AGENT S COLLABORATIONS 133
8.5.1 ESTABLISH EFFICIENT ORGANIZATION OF AGENTS 134
8.5.2 ESTABLISH CORRESPONDENCE BETWEEN AGENT TYPES AND THEIR
ORGANIZATION 134
8.6 CONSTRUCTION OF INDIVIDUAL AGENTS 135
8.6.1 IDENTIFY REQUIRED AGENT COMPONENTS 136
8.6.2 CONSTRUCT VARIOUS AGENTS 136
8.7 PROTECT THE SYSTEM BY IMPLEMENTING SECURITY REQUIREMENTS 137 8.7.1
IDENTIFY SECURITY REQUIREMENTS 137
8.7.2 IMPLEMENT THE REQUIREMENTS 138
IMAGE 5
CONTENTS XI
8.8 CONCLUSION 140
8.9 ADVANTAGES OF THE ONTO-AGENTS METHODOLOGY 141
REFERENCES 142
9 NOTATIONS FOR THE INTEGRATED ONTOLOGY AND MULTI-AGENT SYSTEM DESIGN
143
9.1 INTRODUCTION 143
9.2 MODELLING NOTATIONS 144
9.2.1 ONTOLOGY MODELLING NOTATIONS 144
9.2.1.1 CLASS NOTATION 148
9.2.1.2 GENERALISATION NOTATION 149
9.2.1.3 PROPERTY NOTATION 150
9.2.1.4 RESTRICTION NOTATION 154
9.2.1.5 ASSOCIATED CLASS NOTATION 155
9.2.1.6 ONTOLOGY INSTANCES NOTATION 156
9.2.2 AGENT MODELLING NOTATIONS 157
9.2.2.1 ROLE NOTATION 158
9.2.2.2 COMMUNICATION NOTATION 158
9.2.2.3 AGENT NOTATION 159
9.3 DIAGRAMS 160
9.4 CONCLUSION 163
REFERENCES 163
10 ARCHITECTURE OF THE INTEGRATED ONTOLOGY AND MULTI-AGENT SYSTEM... 165
10.1 INTRODUCTION 165
10.2 ONTOLOGY SERVER 166
10.2.1 ONTOLOGY REPOSITORIES 169
10.2.2 ONTOLOGY EVOLUTION 170
10.2.3 ONTOLOGY MANAGEMENT 173
10.3 AGENT PLATFORM 173
10.4 CONCLUSION 177
REFERENCES 177
11 CASE STUDY I: ONTOLOGY-BASED MULTI-AGENT SYSTEM FOR HUMAN DISEASE
STUDIES 179
11.1 INTRODUCTION 179
11.2 GENERALIZATION AND CONCEPTUALIZATION OF THE MEDICAL DOMAIN 179
1.2.1 COMMUNITY ASSOCIATED WITH THE ONTOLOGY 180
1.2.2 PURPOSE OF THE ONTOLOGY 180
1.2.3 ONTOLOGY DOMAIN 181
1.2.4 APPLICATION BASED ON THE DESIGNED ONTOLOGY 182 1.2.5 TOP-LEVEL
HIERARCHY OF GHDO 182
11.3 ALIGNING AND MERGING EXISTING MEDICAL ONTOLOGIES 184 1.3.1
IDENTIFYING ONTOLOGIES SUITABLE TO BE REUSED 184 1.3.2 DEFINE ALIGNMENT
AND MERGE TOOL 184
1.3.3 IMPORT SOURCE ONTOLOGIES 185
IMAGE 6
XII
CONTENTS
11.3.4 IDENTIFY CORRESPONDENCES BETWEEN DIFFERENT ONTOLOGIES... 185
11.3.5 ALIGN AND MERGE ONTOLOGIES 185
11.4 FORMAL SPECIFICATION OF HUMAN DISEASE DOMAIN CONCEPTUALIZATION 185
11.4.1 ONTOLOGY CONCEPTS 186
11.4.2 RELATIONSHIPS BETWEEN CONCEPTS 186
11.4.3 LEXONS 186
11.4.4 RELATIONSHIPS BETWEEN LEXONS 187
11.4.5 GROUPS OF RELATED LEXONS 188
11.5 FORMAL SPECIFICATION OF HUMAN DISEASE ONTOLOGY COMMITMENTS 189
11.5.1 IDENTIFY INTRA- AND INTER-COMMITMENTS 189
11.5.2 FORMALIZE THE ONTOLOGY COMMITMENTS 190
11.5.3 IDENTIFY REUSABLE KNOWLEDGE COMPONENTS 190 11.6 HUMAN DISEASE
ONTOLOGY EVALUATION 191
11.7 CLASSIFICATION OF AGENTS ACCORDING TO THEIR RESPONSIBILITIES WITHIN
THE HUMAN DISEASE INFORMATION RETRIEVAL SYSTEM 191 11.7.1 ESTABLISH
INTUITIVE FLOW OF PROBLEM SOLVING, TASK AND RESULT SHARING 191
11.7.2 IDENTIFY CORRESPONDING AGENT FUNCTIONS 191
11.7.3 IDENTIFY CORRESPONDING AGENT TYPES 191
11.8 IDENTIFY THE NEED FOR HUMAN DISEASE ONTOLOGY TO SUPPORT AGENTS
INTELLIGENCE 193
11.8.1 PROBLEM DECOMPOSITION AND TASK ASSIGNMENTS 193 11.8.2 INFORMATION
RETRIEVAL 195
11.8.3 AGENT COMMUNICATION 195
11.8.4 INFORMATION ANALYSIS AND MANIPULATION 197
11.8.5 MEANINGFUL INFORMATION PRESENTATION 198
11.9 DEFINE AGENT S COLLABORATION WITHIN THE INTELLIGENT HUMAN DISEASE
INFORMATION RETRIEVAL SYSTEM 198
11.9.1 ESTABLISH EFFICIENT ORGANIZATION OF AGENTS 198 11.9.2 ESTABLISH
CORRESPONDENCE BETWEEN AGENT TYPES AND THEIR ORGANIZATION 199
11.9.3 QUERY PROCESSING AND INFORMATION INTEGRATION WITHIN GHMS 200
11.10 CONSTRUCTION OF INDIVIDUAL AGENTS OF THE HUMAN DISEASE INFORMATION
RETRIEVAL SYSTEM 202
11.10.1 IDENTIFY REQUIRED AGENTS COMPONENTS 202
11.10.2 CONSTRUCT VARIOUS AGENTS 205
11.11 PROTECT THE HUMAN DISEASE INFORMATION RETRIEVAL SYSTEM BY
IMPLEMENTING SECURITY REQUIREMENTS 205
11.11.1 IDENTIFY SECURITY REQUIREMENTS 205
11.11.2 IMPLEMENT THE SECURITY REQUIREMENTS 205
11.12 EXAMPLES OF USE OF THE INTELLIGENT HUMAN DISEASE INFORMATION
RETRIEVAL SYSTEM 207
11.12.1 EXAMPLE 1: HELP PHYSICIAN TO IDENTIFY DISEASE 208
IMAGE 7
CONTENTS XIII
11.12.2 EXAMPLE 2: SUPPORT PHYSICIAN TO CHOOSE DISEASE TREATMENTS 210
11.12.3 EXAMPLE 3: HELP PATIENTS AND GENERAL PUBLIC TO PREVENT A DISEASE
210
11.12.4 EXAMPLE 4: HELP MEDICAL RESEARCHERS TO IDENTIFY DISEASE CAUSES
211
11.12.5 EXAMPLE 5: HELP MEDICAL RESEARCHER STUDY COMPLEX DISEASES 213
11.13 CONCLUSION 215
REFERENCES 215
12 CASE STUDY II: ONTOLOGY-BASED MULTI-AGENT SYSTEM FOR SOFTWARE
ENGINEERING STUDIES 217
12.1 INTRODUCTION 217
12.2 GENERALIZATION AND CONCEPTUALISATION OF THE SOFTWARE ENGINEERING
DOMAIN 217
12.2.1 PURPOSE OF THE SOFTWARE ENGINEERING ONTOLOGY 217 12.2.2 THE
CONTEXT OF SOFTWARE ENGINEERING DOMAIN KNOWLEDGE 218
12.2.3 COMMUNITY 221
12.2.4 APPLICATION BASED ON THE SOFTWARE ENGINEERING ONTOLOGY 223
12.3 FORMAL SPECIFICATIONS OF SOFTWARE ENGINEERING DOMAIN
CONCEPTUALISATION 234
12.3.1 SE ONTOLOGY CONCEPTS 234
12.3.2 SE ONTOLOGY RELATIONS AND CONSTRAINTS 235
12.3.3 SE ONTOLOGY INSTANCES 240
12.4 SE ONTOLOGY VALIDATION 243
12.4.1 VALIDATION OF COMMUNICATIONS 243
12.4.2 VALIDATION OF KNOWLEDGE SHARING 246
12.4.3 VALIDATION OF KNOWLEDGE MANAGEMENT 250
12.5 CLASSIFICAITON OF AGENTS 256
12.6 NEED OF THE SOFTWARE ENGINEERING ONTOLOGY TO SUPPORT AGENT S
INTELLIGENCE 257
12.7 AGENT S COLLABORATIONS 257
12.8 CONSTRUCTION OF INDIVIDUAL AGENTS 261
12.8.1 USER AGENTS 261
12.8.2 SAFEGUARD AGENTS 262
12.8.3 ONTOLOGY AGENTS 262
12.8.4 DECISION MAKING AGENTS 263
12.9 PRACTICAL USES 264
12.10 CONCLUSION 269
REFERENCES 269
IMAGE 8
XIV CONTENTS
13 POTENTIAL APPLICATIONS OF ONTOLOGY-BASED MULTI-AGENT 271 SYSTEMS 13.1
OVERVIEW 271
13.2 COLLABORATIVE ENVIRONMENTS 271
13.3 INFORMATION ACCESS AND RETRIEVAL 272
13.4 DATA MINING 272
13.5 OPEN ISSUES 273
|
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| building | Verbundindex |
| bvnumber | BV035707364 |
| classification_rvk | ST 300 |
| collection | ZDB-2-ENG |
| ctrlnum | (OCoLC)1184343687 (DE-599)DNB993987451 |
| dewey-full | 006.332 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.332 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-642-01904-3 |
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| id | DE-604.BV035707364 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T21:43:54Z |
| institution | BVB |
| isbn | 9783642019036 9783642019043 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017761188 |
| oclc_num | 1184343687 |
| open_access_boolean | |
| owner | DE-898 DE-BY-UBR DE-634 DE-92 DE-83 |
| owner_facet | DE-898 DE-BY-UBR DE-634 DE-92 DE-83 |
| physical | 1 Online-Ressource (XIV, 273 S.) Ill. |
| psigel | ZDB-2-ENG |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Ontology based multi-agent systems Maja Hadzic ... Ontology-based multi-agent systems Berlin ; Heidelberg Springer 2009 1 Online-Ressource (XIV, 273 S.) Ill. txt rdacontent c rdamedia cr rdacarrier Studies in computational intelligence 219 Literaturangaben Mehragentensystem (DE-588)4389058-1 gnd rswk-swf Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd rswk-swf Ontologie Wissensverarbeitung (DE-588)4827894-4 s Mehragentensystem (DE-588)4389058-1 s DE-604 Hadzic, Maja Sonstige oth Studies in computational intelligence 219 (DE-604)BV020822171 219 https://doi.org/10.1007/978-3-642-01904-3 Verlag Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017761188&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ontology based multi-agent systems Studies in computational intelligence Mehragentensystem (DE-588)4389058-1 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd |
| subject_GND | (DE-588)4389058-1 (DE-588)4827894-4 |
| title | Ontology based multi-agent systems |
| title_alt | Ontology-based multi-agent systems |
| title_auth | Ontology based multi-agent systems |
| title_exact_search | Ontology based multi-agent systems |
| title_full | Ontology based multi-agent systems Maja Hadzic ... |
| title_fullStr | Ontology based multi-agent systems Maja Hadzic ... |
| title_full_unstemmed | Ontology based multi-agent systems Maja Hadzic ... |
| title_short | Ontology based multi-agent systems |
| title_sort | ontology based multi agent systems |
| topic | Mehragentensystem (DE-588)4389058-1 gnd Ontologie Wissensverarbeitung (DE-588)4827894-4 gnd |
| topic_facet | Mehragentensystem Ontologie Wissensverarbeitung |
| url | https://doi.org/10.1007/978-3-642-01904-3 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017761188&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT hadzicmaja ontologybasedmultiagentsystems |