Distributed machine learning:
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
1994
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| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | München, Techn. Univ., Diss., 1994 |
| Beschreibung: | XVIII, 127 S. graph. Darst. |
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Datensatz im Suchindex
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TABLE OF CONTENTS
ABSTRACT . III
ZUSAMMENFASSUNG . V
ACKNOWLEDGEMENTS . VII
LIST OF TABLES . XI
LIST OF FIGURES . XIII
LIST OF ABBREVIATIONS . XV
I INTRODUCTION . 1
1 THE PROBLEM ADDRESSED . 3
2 RESEARCH OBJECTIVE, METHODOLOGY, AND RELATED WORK . 5
3 DISSERTATION OVERVIEW . 7
II FOUNDATIONS . 11
4 CENTRALIZED AND DISTRIBUTED MACHINE LEARNING . 13
5 DISTRIBUTED LEARNING SYSTEMS IN AI. 19
5.1 ARTIFICIAL NEURAL NETWORKS . 19
5.2 RULE-BASED SYSTEMS (CLASSIFIER SYSTEMS) . 21
5.3 MULTI-AGENT SYSTEMS . 27
6 PRINCIPLES OF DISTRIBUTED MACHINE LEARNING . 31
6.1 THE PRINCIPLE OF ACTION-ORIENTED LEARNING . 31
6.2 THE PRINCIPLE OF ORGANIZATIONAL LEARNING. 32
III DISTRIBUTED ACTION-ORIENTED LEARNING . 35
7 REALIZATION IN ARTIFICIAL NEURAL NETWORKS . 37
8 REALIZATION IN RULE-BASED SYSTEMS. 39
8.1 THE ALGORITHMS ABB1, ABB2 AND APSP. 39
8.1.1 MOTIVATION. 39
IX
BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/943236118
X
5.1.2 DESCRIPTION .
8.1.3 ANALYSIS .
8.2 CHAPTER SUMMARY AND DISCUSSION .
9 REALIZATION IN MULTI-AGENT SYSTEMS .
9.1 THE ALGORITHMS ACE AND AGE .
9.1.1 MOTIVATION .
9.1.2 DESCRIPTION .
9.1.3 ANALYSIS .
9.2 CHAPTER SUMMARY AND DISCUSSION .
IV DISTRIBUTED ORGANIZATIONAL LEARNING .
10 REALIZATION IN ARTIFICIAL NEURAL NETWORKS
.
11 REALIZATION IN R.ULE-BASECL SYSTEMS .
11.1 THE ALGORITHM HCA.
11.1.1 MOTIVATION .
11.1.2 DESCRIPTION .
11.1.3 ANALYSIS .
11.2 CHAPTER SUMMARY AND DISCUSSION .
12
REALIZATION IN MULTI-AGENT SYSTEMS .
12.1 THE ALGORITHM DFG .
12.1.1 MOTIVATION .
12.1.2 DESCRIPTION .
12.1.3 ANALYSIS .
12.2 CHAPTER SUMMARY AND DISCUSSION .
V CONCLUSIONS .
13 SUMMARY, MAIN CONTRIBUTIONS, AND DISCUSSION
14 RESEARCH DIRECTIONS .
40
44
56
59
59
59
61
64
68
71
73
79
79
79
80
83
88
91
91
91
92
97
104
107
109
113
BIBLIOG RAPHY .
KEYWORD INDEX
115
127
LIST OF TABLES
4.1 DIMENSIONS FOR CLASSIFYING MACHINE LEARNING RESEARCH . 15
6.1 SUBSYSTEMS, STRUCTURES AND ACTIONS IN DIFFERENT DML SYSTEMS . 33
8.1 CLASSIFIER LIST . 42
8.2 MESSAGE LIST . 42
8.3 ESTIMATED GOAL RELEVANCE VERSUS SUPPORT . 44
8.4, EC FOR DIFFERENT Q'S AND L'S . 46
12.1 TOTAL NUMBER OF GROUPS CREATED AND DISSOLVED
UNDER DFGL AND DFG2 . 103
12.2 ACTION POTENTIAL AND LEVEL OF THE GROUPS
CREATED AND DISSOLVED UNDER DFGL AND DFG2. 104
XI
LIST OF FIGURES
4.1 PROTOTYPCIAL ARCHITECTURE OF A CML SYSTEM . 14
4.2 PROTOTYPCIAL ARCHITECTURE OF A DML SYSTEM . 16
5.1 ILLUSTRATION OF ARTIFICIAL NEURAL NETWORKS . 21
5.2 RULE-BASED SYSTEMS AND AI . 22
5.3 ORGANIZATION OF CLASSIFIER SYSTEMS . 24
5.4 ILLUSTRATION OF GENETIC OPERATORS . 27
5.5^ DIMENSIONS FOR CATEGORIZING MULTI-AGENT SYSTEMS . 28
6.1 INTERACTION OF ACTION-ORIENTED AND ORGANIZATIONAL LEARNING. 33
8.1 GENERATION OF NEW MESSAGES . 40
8.2 THE FSW1 WORLD . 50
8.3 THE FSW2 WORLD . 50
8.4 THE FSW3 WORLD . 51
8.5 PERFORMANCE PROFILES OF THE ABBL, THE BB WITH SUPPORT AND THE
BB WITHOUT SUPPORT FOR FSWL, FSW2 AND FSW3 . 53
8.6 PERFORMANCE PROFILES OF THE ABB2, THE ABBL AND THE
BB WITH SUPPORT FOR FSWL . 54
8.7 PERFORMANCE PROFILES OF THE ABB2 AND THE APSP FOR FSW3 . 55
9.1 AN AGENT AND ITS COMPONENTS . 60
9.2 SYSTEM-ENVIRONMENT INTERACTION . 61
9.3 A LEARNING TASK . 65
9.4 PROBLEMATIC STATES . 66
9.5 ANOTHER LEARNING TASK . 67
9.6 PERFORMANCE PROFILES OF THE ACE AND THE AGE . 68
9.7 PERFORMANCE PROFILES OF THE ACE AND THE AGE . 69
10.1 FEEDFORWARD SCHEME . 75
10.2 COMPETITION/COOPERATION SCHEME . 76
10.3 CRITIC/POLICY/MODEL SCHEME . 77
11.1 A MAZE . 84
11.2 PERFORMANCE PROFILES FOR THE MAZE. 87
XIII
XIV
11. -3 BLOCKING AND SHORTCUT . 87
11.4 PERFORMANCE PROFILES FOR BLOCKING AND SHORTCUT . 88
12.1 STRUCTURAL ORGANIZATION OF GROUPS . 93
12.2 A LEARNING TASK . 100
12.2 ILLUSTRATION OF SUSSMAN'S ANOMALY IN A MULTI-AGENT CONTEXT . 100
12.4 EXTERNAL REWARD RECEIVED BY DFGL AND DFG2 . 102
12.O EPISODE LENGTHS REQUIRED BY DFGL AND DFG2 . 102
12. G ILLUSTRATION OF POTENTIAL AND LEVEL OF GROUPS . 103 |
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| indexdate | 2024-10-09T18:16:04Z |
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| language | German |
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| physical | XVIII, 127 S. graph. Darst. |
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| spelling | Weiß, Gerhard Verfasser aut Distributed machine learning Gerhard Weiß 1994 XVIII, 127 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier München, Techn. Univ., Diss., 1994 Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Verteiltes System (DE-588)4238872-7 gnd rswk-swf Mehragentensystem (DE-588)4389058-1 gnd rswk-swf Produktionsregelsystem (DE-588)4258171-0 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Verteiltes System (DE-588)4238872-7 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Produktionsregelsystem (DE-588)4258171-0 s Neuronales Netz (DE-588)4226127-2 s Mehragentensystem (DE-588)4389058-1 s DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006601527&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Weiß, Gerhard Distributed machine learning Neuronales Netz (DE-588)4226127-2 gnd Verteiltes System (DE-588)4238872-7 gnd Mehragentensystem (DE-588)4389058-1 gnd Produktionsregelsystem (DE-588)4258171-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
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| title | Distributed machine learning |
| title_auth | Distributed machine learning |
| title_exact_search | Distributed machine learning |
| title_full | Distributed machine learning Gerhard Weiß |
| title_fullStr | Distributed machine learning Gerhard Weiß |
| title_full_unstemmed | Distributed machine learning Gerhard Weiß |
| title_short | Distributed machine learning |
| title_sort | distributed machine learning |
| topic | Neuronales Netz (DE-588)4226127-2 gnd Verteiltes System (DE-588)4238872-7 gnd Mehragentensystem (DE-588)4389058-1 gnd Produktionsregelsystem (DE-588)4258171-0 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Neuronales Netz Verteiltes System Mehragentensystem Produktionsregelsystem Maschinelles Lernen Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006601527&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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