Distributed machine learning:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | German |
| Published: |
1994
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | München, Techn. Univ., Diss., 1994 |
| Physical Description: | XVIII, 127 S. graph. Darst. |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV009961379 | ||
| 003 | DE-604 | ||
| 005 | 19950712 | ||
| 007 | t | ||
| 008 | 941222s1994 d||| m||| 00||| gerod | ||
| 016 | 7 | |a 943236118 |2 DE-101 | |
| 035 | |a (OCoLC)75557046 | ||
| 035 | |a (DE-599)BVBBV009961379 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a ger | |
| 049 | |a DE-91 |a DE-91G |a DE-12 | ||
| 084 | |a DAT 516d |2 stub | ||
| 084 | |a DAT 708d |2 stub | ||
| 100 | 1 | |a Weiß, Gerhard |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Distributed machine learning |c Gerhard Weiß |
| 264 | 1 | |c 1994 | |
| 300 | |a XVIII, 127 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a München, Techn. Univ., Diss., 1994 | ||
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Verteiltes System |0 (DE-588)4238872-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mehragentensystem |0 (DE-588)4389058-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Produktionsregelsystem |0 (DE-588)4258171-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Verteiltes System |0 (DE-588)4238872-7 |D s |
| 689 | 0 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 1 | 1 | |a Produktionsregelsystem |0 (DE-588)4258171-0 |D s |
| 689 | 1 | |5 DE-604 | |
| 689 | 2 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 2 | 1 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
| 689 | 2 | |5 DE-604 | |
| 689 | 3 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 3 | 1 | |a Mehragentensystem |0 (DE-588)4389058-1 |D s |
| 689 | 3 | |5 DE-604 | |
| 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=006601527&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-006601527 | |
Record in the Search Index
| _version_ | 1812461273982435328 |
|---|---|
| adam_text |
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 |
| any_adam_object | 1 |
| author | Weiß, Gerhard |
| author_facet | Weiß, Gerhard |
| author_role | aut |
| author_sort | Weiß, Gerhard |
| author_variant | g w gw |
| building | Verbundindex |
| bvnumber | BV009961379 |
| classification_tum | DAT 516d DAT 708d |
| ctrlnum | (OCoLC)75557046 (DE-599)BVBBV009961379 |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV009961379</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">19950712</controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">941222s1994 d||| m||| 00||| gerod</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">943236118</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)75557046</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV009961379</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">ger</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-91G</subfield><subfield code="a">DE-12</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 516d</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708d</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Weiß, Gerhard</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Distributed machine learning</subfield><subfield code="c">Gerhard Weiß</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1994</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XVIII, 127 S.</subfield><subfield code="b">graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">München, Techn. Univ., Diss., 1994</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Verteiltes System</subfield><subfield code="0">(DE-588)4238872-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Mehragentensystem</subfield><subfield code="0">(DE-588)4389058-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Produktionsregelsystem</subfield><subfield code="0">(DE-588)4258171-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Verteiltes System</subfield><subfield code="0">(DE-588)4238872-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Produktionsregelsystem</subfield><subfield code="0">(DE-588)4258171-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2="1"><subfield code="a">Neuronales Netz</subfield><subfield code="0">(DE-588)4226127-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="3" ind2="0"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2="1"><subfield code="a">Mehragentensystem</subfield><subfield code="0">(DE-588)4389058-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="3" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">DNB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">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</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-006601527</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV009961379 |
| illustrated | Illustrated |
| indexdate | 2024-10-09T18:16:04Z |
| institution | BVB |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006601527 |
| oclc_num | 75557046 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-12 |
| owner_facet | DE-91 DE-BY-TUM DE-91G DE-BY-TUM DE-12 |
| physical | XVIII, 127 S. graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
| publishDateSort | 1994 |
| record_format | marc |
| 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 |
| subject_GND | (DE-588)4226127-2 (DE-588)4238872-7 (DE-588)4389058-1 (DE-588)4258171-0 (DE-588)4193754-5 (DE-588)4113937-9 |
| 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 |
| work_keys_str_mv | AT weißgerhard distributedmachinelearning |