Implementing Japanese AI techniques: turning the tables for a winning strategy
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York u.a.
McGraw-Hill
1990
|
| Schriftenreihe: | Artificial intelligence series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXV, 266 S. graph. Darst. |
| ISBN: | 0070243271 |
Internformat
MARC
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| 245 | 1 | 0 | |a Implementing Japanese AI techniques |b turning the tables for a winning strategy |c Richard Greene |
| 264 | 1 | |a New York u.a. |b McGraw-Hill |c 1990 | |
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| 490 | 0 | |a Artificial intelligence series | |
| 650 | 4 | |a Inteligencia artificial | |
| 650 | 4 | |a Procesamiento electrónico de datos - EE. UU | |
| 650 | 4 | |a Procesamiento electrónico de datos - Japón | |
| 650 | 4 | |a Sistemas expertos (Computación) - EE. UU | |
| 650 | 4 | |a Sistemas expertos (Computación) - Japón | |
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| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Business |x Data processing | |
| 650 | 4 | |a Electronic data processing |z Japan | |
| 650 | 4 | |a Electronic data processing |z United States | |
| 650 | 4 | |a Expert systems (Computer science) |z Japan | |
| 650 | 4 | |a Expert systems (Computer science) |z United States | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-002363343 | ||
Datensatz im Suchindex
| _version_ | 1804118057808822272 |
|---|---|
| adam_text | Contents
Preface ^
Part 1 The Engine of Automation in Japanese
Firms 1
Chapter 1 The Fundamentals 3
The Successful AI Program 3
How to Measure AI Application Success 5
The Enemy of Effective AI Application in Industry 8
Impressions upon Returning from Japan 10
The Concept of Competitive AI 11
Chapter 2 The Role of Management 15
The Causes of Clone AI Programs 15
The Meta Cognitive Organization Theory 19
Socio Technical Systems Theory 20
Participatory Management Theory 22
Primal Community Theory 22
Strategic Work Force Theory 23
Uniform Structure Community Theory 23
Skyblue Collar Worker Theory 24
Management by Contradiction Resolution
Theory 25
Monastic Management Theory 25
Learning Conscious Organization Theory 26
Management by Events Theory 26
Management of Cognition Theory 28
viii Implementing Japanese Al Techniques
Chapter 3 The Objectives 29
Learning from Japan 29
An Argument that May Doom AI in U.S.
Companies 32
The Objectives of a Japanese Style AI
Application Program 37
The Paramount Objective 37
The Master Objectives 37
The Competitive Objectives 37
The Enabling Objectives 38
Chapter 4 The Japanese Way 41
Rational AI Implementation 41
Typical Japanese AI Projects 42
The Robot Maintenance Campaign 42
No Man Factory Construction 42
No Man Engineering in Software Factories 43
A New Factory Standard for AI 43
Automobile Vending Machines 43
The Cure for Drunk Driving in America 43
The Protestant Ethic and the Spirit of Japan 44
Implementing AI as an Organization 47
Timing Corporate Life by Companywide
Engineering Campaigns 52
Minimizing Technology in Production 54
Disseminating Design Processes throughout a
Work Force 56
Part 2 AI Applications and the Corporation 61
Chapter 5 Explaining AI to a Corporation 63
Initial Roles for AI in Corporations 65
Capture of Expertise 65
Performance Stabilization 66
Intelligent Documentation 66
Diagnostic Recovery 67
Program Enhancement 67
Cognitive Load Lifter 68
Knowledge Portability 68
Some Advantages Inherent with AI 69
Contents ix
Simulation and Estimation 70
AI Process Control 71
One Data Model of the Part 72
Process Planning 73
Diagnosis and Recovery Procedure Design 73
Chapter 6 Some Practical Applications 75
Preventing AI from Becoming Isolated 75
Initial AI Application Projects 76
Design for Assembly 77
Simultaneous Engineering 77
Variational Engineering 78
Dimensional Simulation 79
Kanban 80
Process Inspection 80
Generic Documentation 80
Supplier User Co Design of Process/Product 81
One Mathematical Model of the Product 81
What AI Offers Design 82
Enhancements to Variational Engineering 83
Design Process Backtrack Facility 83
Construction of Solid Models 83
Automatic Dimensioning of Parts 84
Self Modifying Database 84
Self Tutoring Environment 85
Shared Knowledgebase Network 85
Evolutionary Programming 85
Semantic Geometry: A Step Toward Intelligent
Geometry 86
Beyond Manufacturing 87
The Business Intelligence Function 88
Retail AI 90
Office Work 91
Office Networks 92
Part 3 The AI Software Revolution 95
Chapter 7 AI and Exploratory Programming 97
Disciplined and Error Free AI 97
When Will Ordinary Programming Be as
Exploratory as AI? 99
AI as Defined for Businesspeople 101
x Implementing Japanese Al Techniques
Chapter 8 Goals for Artificial Intelligence 105
Artificial Intelligence and Fulfilling Expectation 105
One: The Non Deterministic Programming
Potential 106
Two: The Specification Programming Potential 108
Three: The Heuristic Programming Potential 108
Four: The Transparent Programming Goal 109
Five: The Level of Abstraction Programming
Ambition 111
Six: The Machine Learning Programming Goal 113
Seven: The Logic Programming Goal 114
Eight: The Modularity Programming Goal 115
Nine: The Automated Expertise Extraction
Programming Goal 116
Ten: The Modeling The Mind Programming Goal 117
Eleven: The User Expertise Programming Goal 119
Chapter 9 Revolutions in Programming 121
Evolutionary Programming 122
Shared Knowledgebase Networks 124
Simulation Style Program Building 125
Mental Protocol Modeling Way of
Constructing Programs 126
Automatic Program Construction 126
Programming by Differences 127
How Corporations Can Benefit from the AI
Revolution 127
The Genealogy of Artificial Intelligence 128
Kanban Coding 133
Chapter 10 Making AI a Reality 137
Seven Strategies for AI 137
One: The Cognitive Strategy 137
Two: The Software Revolution Strategy 138
Three: The Integration Strategy 139
Four: The Automation Strategy 139
Five: The Reliability Strategy 141
Six: The Electronic Manuals Strategy 141
Seven: The Knowledge Compilation Strategy 143
AI Versus Ordinary Software 144
Contents xi
Relating AI to Ordinary Software in Seven Stages 147
Stage One: Potpourri of Old Programs 147
Stage Two: Parametric Programming 147
Stage Three: AI Object Taxonomy Built of
the Parametric Model 147
Stage Four: AI Capture of Heuristic Rules 148
Stage Five: AI as Manager of Old Programs 148
Stage Six: AI as an Object Oriented
Database 148
Stage Seven: Automatic Construction of
New Programs 148
Overcoming Barriers 149
Standards and Dynamic Technologies 154
Part 4 A Tri Level Approach to AI Implementation 159
Chapter 11 The Aggressive AI Program 161
The Seven Components of a New Technology
Delivery System 161
The Three Sizes of Development Platforms for AI 165
Tri Level Training Systems for New Technologies 168
Three Sources of AI Projects 170
Chapter 12 Program Development and Corporate Polity 175
A Three Part Development Rhythm 175
The New Authority—Meta Polity 182
Part 5 Computer Integrated Manufacturing and AI 187
Chapter 13 New Social Systems 189
Effects of Learning Properties 189
Incremental Implementation of Technologies 194
The Eight Levels of Future CIM Systems 198
Chapter 14 Competition and Societies of Industry 205
The Polis Principle 205
A Japanese Alternative for
Computer Integrated Manufacturing 207
xii Implementing Japanese Al Techniques
How CIM and CASTS Reshape Artificial
Intelligence 216
Part 6 Intelligent Platforms 219
Chapter 15 Establishing Platforms 221
Types of Platforms 221
The Expert Dealer Sale Platform 222
The Expert Dealer Service Platform 222
The Expert Customer Product Design
Platform 222
The Expert Business Intelligence Platform 222
The Expert System Corporate Spec
Publisher Platform 223
The Expert Finance Platform 223
The Intelligent Document Platform 223
The Intelligent Text Platform 223
The Expert Electronic Social System
Platform 223
The Intelligent Graphics Platform 223
The Intelligent Software Development
Platform 224
The Intelligent Facilities Simulation
Platform 224
The Expert Real Time Process Control
Platform 224
The Expert Product Simulation Platform 224
The Expert Production Process Simulation
Platform 224
The Expert Training Platform 224
The Intelligent Interface Platform 225
The Minimal Criteria of Platform Performance 225
Detailed Components Lists of Some Key
Platforms 229
How Platforms Affect AI Delivery 232
How Platforms Should Be Used 233
The Competitive Use of Platforms 234
Contents xiii
Part 7 Setting Up a First Rate AI Delivery System 235
Chapter 16 The Social Delivery Vehicle 237
The Three Aspects of Delivery 237
Components of a Vehicle 238
The AI Auxiliary 239
Application Qualification Tours 239
AI Application Workshop Fairs 240
Pilot Projects 242
Tool Courses 243
Structured Group Readings in AI 243
Group Structured Coding Sessions 244
AI Circles 245
Problem Solving Events 246
The AI Meta Applications Group 247
AI Application Generator Conferences 248
Vendor Education Seminars 248
Cognition Improvement Training 249
Chapter 17 A New Outlook 251
AI Circles Programs 251
Setting Up an AI Program 255
Theories of AI Delivery 256
An Agrarian View of Industry 259
Structural Reading 261
Change of the Cognitive Technologies 264
Computer Supported Cooperative Work 264
Cognitive Measurement of Work 265
A Neutral Cognitive Currency Across
Disciplines 265
Socio Technics of Distributed Computing 265
Cognitive Augmentation of Work 265
Technology Transfer 266
|
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| discipline | Informatik Wirtschaftswissenschaften |
| format | Book |
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| geographic | USA Japan (DE-588)4028495-5 gnd |
| geographic_facet | USA Japan |
| id | DE-604.BV003712997 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T16:04:15Z |
| institution | BVB |
| isbn | 0070243271 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-002363343 |
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| physical | XXV, 266 S. graph. Darst. |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
| publisher | McGraw-Hill |
| record_format | marc |
| series2 | Artificial intelligence series |
| spelling | Greene, Richard T. Verfasser aut Implementing Japanese AI techniques turning the tables for a winning strategy Richard Greene New York u.a. McGraw-Hill 1990 XXV, 266 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Artificial intelligence series Inteligencia artificial Procesamiento electrónico de datos - EE. UU Procesamiento electrónico de datos - Japón Sistemas expertos (Computación) - EE. UU Sistemas expertos (Computación) - Japón Datenverarbeitung Künstliche Intelligenz Wirtschaft Artificial intelligence Business Data processing Electronic data processing Japan Electronic data processing United States Expert systems (Computer science) Japan Expert systems (Computer science) United States Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf USA Japan (DE-588)4028495-5 gnd rswk-swf Japan (DE-588)4028495-5 g Künstliche Intelligenz (DE-588)4033447-8 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002363343&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Greene, Richard T. Implementing Japanese AI techniques turning the tables for a winning strategy Inteligencia artificial Procesamiento electrónico de datos - EE. UU Procesamiento electrónico de datos - Japón Sistemas expertos (Computación) - EE. UU Sistemas expertos (Computación) - Japón Datenverarbeitung Künstliche Intelligenz Wirtschaft Artificial intelligence Business Data processing Electronic data processing Japan Electronic data processing United States Expert systems (Computer science) Japan Expert systems (Computer science) United States Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4028495-5 |
| title | Implementing Japanese AI techniques turning the tables for a winning strategy |
| title_auth | Implementing Japanese AI techniques turning the tables for a winning strategy |
| title_exact_search | Implementing Japanese AI techniques turning the tables for a winning strategy |
| title_full | Implementing Japanese AI techniques turning the tables for a winning strategy Richard Greene |
| title_fullStr | Implementing Japanese AI techniques turning the tables for a winning strategy Richard Greene |
| title_full_unstemmed | Implementing Japanese AI techniques turning the tables for a winning strategy Richard Greene |
| title_short | Implementing Japanese AI techniques |
| title_sort | implementing japanese ai techniques turning the tables for a winning strategy |
| title_sub | turning the tables for a winning strategy |
| topic | Inteligencia artificial Procesamiento electrónico de datos - EE. UU Procesamiento electrónico de datos - Japón Sistemas expertos (Computación) - EE. UU Sistemas expertos (Computación) - Japón Datenverarbeitung Künstliche Intelligenz Wirtschaft Artificial intelligence Business Data processing Electronic data processing Japan Electronic data processing United States Expert systems (Computer science) Japan Expert systems (Computer science) United States Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Inteligencia artificial Procesamiento electrónico de datos - EE. UU Procesamiento electrónico de datos - Japón Sistemas expertos (Computación) - EE. UU Sistemas expertos (Computación) - Japón Datenverarbeitung Künstliche Intelligenz Wirtschaft Artificial intelligence Business Data processing Electronic data processing Japan Electronic data processing United States Expert systems (Computer science) Japan Expert systems (Computer science) United States USA Japan |
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