Computational framework for knowledge: integrated behavior of machines
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, N.J.
Wiley
2009
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xxvii, 538 S. Ill. 25 cm |
| ISBN: | 9780470446867 0470446862 |
Internformat
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| 100 | 1 | |a Ahamed, Syed V. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Computational framework for knowledge |b integrated behavior of machines |c Syed V. Ahamed |
| 264 | 1 | |a Hoboken, N.J. |b Wiley |c 2009 | |
| 300 | |a xxvii, 538 S. |b Ill. |c 25 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Web databases | |
| 650 | 4 | |a Knowledge acquisition (Expert systems) | |
| 650 | 0 | 7 | |a Wissenstechnik |0 (DE-588)4192641-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mathematisches Modell |0 (DE-588)4114528-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Wissenstechnik |0 (DE-588)4192641-9 |D s |
| 689 | 0 | 1 | |a Mathematisches Modell |0 (DE-588)4114528-8 |D s |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-020217102 | ||
Datensatz im Suchindex
| _version_ | 1804142809910870016 |
|---|---|
| adam_text | CONTENTS
Foreword
xvii
Preface
xxi
Introduction
xxv
1
New Knowledge Environments
1
Chapter Summary
/ 1
1.1
The Need to Know
/ 2
1.1.1
Global Power of Knowledge
/ 6
1.1.2
Scientific Aspects
/ 9
1.1.3
Wealth Aspects
/ 10
1.2
Role of Technology
/ 12
1.2.1
Three Major Contributions
/ 12
1.2.2
A String of Secondary Contributions
/ 15
1.2.3
Peripheral Contributions
/17
1.3
Knowledge and Wealth
/ 17
1.4
Evolving Knowledge Environments
/ 18
1.4.1
Components of Knowledge
/ 20
1.4.2
The Processing of Knowledge
/ 22
1.5
Structure and Communication of Knowledge
/ 22
1.5.1
Velocity of Flow of Knowledge
/ 23
1.5.2
Truisms in the Knowledge Domain
/ 29
1.5.3
Philosophic Validation of Knowledge
/ 29
VÍ
CONTENTS
1.5.4
Sdentine
Principles in the Knowledge Domain
/31
1.5.5
Aspects of Knowledge
/ 33
1.6
Intelligent Internet and Knowledge Society
/ 34
1.6.1
Four Precursors of Modern Wisdom
/ 34
1.6.2
Knowledge Bases to Derive Wisdom
/ 35
1.6.3
Role of National Governments
/ 36
1.6.4
Universal Knowledge-Processing Systems
/41
1.6.5
Educational Networks
/ 50
1.6.6
Medical Networks
/ 52
1.6.7
Antiterrorism Networks
/ 55
1.7
Knowledge Networks
/ 58
1.7.1
Evolution of Knowledge Networks
/ 58
1.7.2
Knowledge Network Configuration
/ 59
1.8
Conclusions
/ 59
References
/61
2
Wisdom Machines
64
Chapter Summary
/ 64
2.1
Many Flavors of Wisdom
/ 65
2.2
Three Orientations of Wisdom
/ 67
2.2.1
Absolute Wisdom
/ 68
2.2.2
Materialistic Wisdom
/ 68
2.2.3
Opportunistic Wisdom
/ 69
2.2.4
Needs and Wisdom
/ 70
2.2.5
What Are Wisdom Machines?
/ 71
2.3
Optimization of Wise Choices
/ 73
2.3.1
Derived Axioms
/ 73
2.3.2
Priming of Machine Wisdom for Directional
Axioms
/ 74
2.4
Three-Level Functions
/ 75
2.4.1
Level I: Access and Administrative Functions
/ 76
2.4.2
Level II: Linkage, Scientific, and Statistical
Functions
/ 76
2.4.3
Level III: Human Authentication
/ 77
2.5
Knowledge Machine Building Blocks
/ 77
2.5.1
What Are Knowledge Machines?
/ 78
2.5.2
Knowledge-Machine-Based Wisdom Machines
/ 79
2.5.3
Sensor-Scanner-Based Wisdom Machines
/ 81
CONTENTS
VU
2.5.4 Bus
Configurations
and Switch Locations
/ 84
2.6
Machine Clusters
/ 86
2.6.1
Single-Wisdom Single-Machine Systems
/ 86
2.6.2
Single-Wisdom Multiple-Machine Systems
/ 89
2.6.3
Multiple-Wisdom Single-Machine Systems
/91
2.6.4
Multiple-Wisdom Multiple-Machine Systems
/ 93
2.7
From Wisdom to Behavior
/ 95
2.8
Order, Awareness, and Search
/ 97
2.9
Conclusions
/ 98
References
/ 99
General Theory of Knowledge
101
Chapter Summary
/ 101
3.1
A Basis for the Theory of Knowledge
/ 102
3.2
Comprehension, Nature, and Knowledge
/ 102
3.2.1
A Functional Approach
/103
3.2.2
Incremental Changes
/ 104
3.2.3
Elemental Convolution and Knowledge Operations
/ 108
3.3
Central Processing and Knowledge Processing
/ 108
3.4
Accumulation of Information, Knowledge, and Wisdom
/
111
3.5
The Enhanced Knowledge Trail
/112
3.6
Sequencing of Events at Nodes
/114
3.7
Transitions at I, K, and
С
Nodes
/ 116
3.8
Transition Management at Nodes
/ 117
3.9
An Inverse Universe
/ 120
3.10
Origin and Destination
/ 122
3.10.1
Nature, Origin of Knowledge Trail
/ 122
3.10.2
Two Destinations of Knowledge Trail
/ 124
3.10.3
Multiple Feedbacks along the Knowledge Trail
/ 126
3.10.4
Dynamics of Knowledge in Societies
/130
3.10.5
I, K, C, W, and
E
Bases to Replace Nodes
/ 132
3.10.6
Nodal Forces in Societies
/ 137
3.10.7
Summary of Sociological Forces on Nodes
/ 139
3.10.8
Multiplier Effects at Intermediate Nodes
/ 140
3.10.9
Implications of Knowledge Equations
/ 141
3.11
The Entropy of Knowledge
/141
3.11.1
The Change of Entropy
/ 142
Viii CONTENTS
3.11.2
The Duration for Change of Entropy
/ 142
3.11.3
No Prior Knowledge: No Change in Entropy
/143
3.11.4
No Knowledge Process: No Change
in Entropy
/ 143
3.11.5
Examples of Prevalent Knowledge Processes
/ 143
3.11.6
Generalization of Knowledge Processes
/ 144
3.12
Conclusions
/ 145
References
/ 146
4
Verb Functions and Noun Objects
148
Chapter Summary
/ 148
4.1
Positive and Negative Social Forces
/ 149
4.1.1
Forces in Society and Operations
on Objects
/ 150
4.1.2
Assistive, Neutral, and Resistive Objects
/ 152
4.2
Framework of Knowledge
/ 153
4.2.1
Hyper-Dimensionality of Knowledge
/ 153
4.2.2
Intertwined Spaces of Knowledge
/154
4.2.3
Contours of Knowledge
/ 155
4.2.4
Funicular Polygon of Concepts
/ 155
4.3
Compilation of Knowledge
/ 156
4.3.1
Lexical Analysis for Knowledge
/ 157
4.3.2
Parsing Bodies of Knowledge
/ 157
4.3.3
Syntactic Analysis of Knowledge
/ 161
4.3.4
Semantic Analysis for Knowledge
/ 161
4.3.5
Knowledge Machine Code
/ 163
4.4
Derivation of Knowledge
/163
4.4.1
Microscopic or Basic Assembly-Level Knowledge
Instructions
/164
4.4.2
Application-Level Knowledge Programs
/165
4.4.3
Universal-Level Knowledge Programs
/ 168
4.5
Knowledge Machine Software Hierarchy
/ 171
4.6
Knowledge Hardware and Software Systems
/ 172
4.7
Classical Migration Path of Knowledge
/175
4.7.1
Knowledge Traps
/ 176
4.7.2
Transition at Generic Nodes
/ 176
4.8
Conclusions
/ 179
References
/180
CONTENTS
ІХ
5
Humanistic and Semi-Human Systems
182
Chapter Summary
/182
5.1
Humanistic Chip Sets
/ 183
5.2
Essence of Human Activity
/185
5.2.1
Varieties of Noun Objects
/ 186
5.2.2
Types of Verb Function Commands
/ 188
5.3
Smart Verbs and Intelligent Nouns
/ 189
5.3.1
A Qualitative Synopsis of the Response
/190
5.3.2
Nonlinear Response
/ 191
5.3.3
An Intelligent Response
/ 192
5.4
Algorithmic Representation
/193
5.4.1
Step
1:
Compute Change Index
χ
/ 193
5.4.2
Step
2:
Compute Change
Δ
after hope
/ 195
5.5
Effects of Intelligent Response
/ 197
5.6
Gradation of Knowledge Processor Unit Responses
/ 197
5.6.1
Traditional Computer Response
/198
5.6.2
Life Form Response
/ 198
5.6.3
Rational Response
/ 198
5.6.4
Artificial Intelligence Response
/ 199
5.6.5
Humanistic Response
/ 199
5.6.6
Human Response
/ 200
5.6.7
Other Types of Responses
/ 201
5.7
Fragments of Overall Human Activity
/ 202
5.7.1
Minor Tasks and Microcodes
/ 203
5.7.2
Major Ordeals and Complex Programs
/ 203
5.7.3
The Microcode of the Humanistic Chip Set
/ 203
5.8
Dual Knowledge Processor Unit Human Interaction Model
/
204
5.8.1
Bilateral Human Relations
/ 205
5.8.2
Models of Human Interaction
/ 206
References
/ 208
A.I Nonlinear Responses
/ 212
A.
1.1
Exponential Representation
/ 212
A.I.
2
Memory Effects
/ 212
A.
1.3
Saturation
/ 212
A.
1.4
Peaky Response
/213
A.
1.5
Hysteresis Effects
/213
A.2 Oscillatory Response of Noun Objects
/ 215
X
CONTENTS
B.I Knowledge Machine for Human Interactive Processes
/ 219
References
/ 221
B.2 Knowledge Machine for Labor-Management
Negotiation
/ 222
B.2.1 Background of Labor-Management Negotiations
/ 222
B.2.
2
Constituents of Model for Labor-Management
Negotiations
/ 223
B.2.3 Demand Intensities of Labor and Management
/ 224
B.2.4 Structure of the Model for Lasor-Management
Negotiations
/ 225
B.2.5 Negotiation Process and Validation
/ 225
B.2.6 Successful Negotiation
/ 227
B.2.
7
Impasse in Labor-Management Negotiations
/ 227
B.2.8 Conclusions for Labor-Management Negotiation
/ 228
References
/ 229
B.3 Knowledge Machine for Corporate Interactions
/ 229
B.3.1 Background of Economics-Based Interactions
/ 230
B.3.2 Expert System Concepts
/ 231
B.3.3 Computational Aspects in Negotiations
/ 233
B.3.4 Mathematical Representations for the Cost of Agreement,
Cost of Disagreement, and Demand Intensity
/ 235
B.3.
5
Systems Model of Interaction
/ 237
B.3.6 Pruning and Predicting the Outcome
/ 241
B.3.
7
Conclusions for Corporate Negotiations
/ 243
References
/ 244
6
Information and Knowledge Filters
246
Chapter Summary
/ 246
6.1
Junk Information and Hype Knowledge
/ 247
6.2
Design of Conventional Signal Filters
/ 249
6.2.1
Types of Traditional Signal Filters
/ 251
6.2.2
Active Filters
/ 251
6.2.3
Digital Filters
/ 251
6.3
Signal Waves and Knowledge Flow
/ 252
6.4
The (I« »K) Filters
/ 253
6.4.1
Symbols as Objects and Functions
/ 254
6.4.2
Role of Humans
/ 256
6.4.3
Precise Solutions and Confident Results
/ 257
6.5
The Design of (I«»K) Filters
/ 258
CONTENTS Xi
6.5.1 Knowledge Filter
Concepts
/ 259
6.5.2
Noun Objects and Verb Functions
/ 265
6.5.3
Scanning for Operative Nouns and Verbs
/ 266
6.6
Configuration of (¡«»K) Systems
/ 266
6.6.1
Application Constraints
/ 266
6.6.2
Design Concepts for (I« »K) Systems
/ 266
6.6.3
Application for Filtering and Comparing
/ 270
6.6.4
Low-Pass and High-Pass Information Filters
/271
6.6.5
Design Steps for
(Ί«
»Kj Filters
/ 272
6.6.6
Design Methodology
/ 272
6.7
Selection of Noun Objects and Verb Functions
in Samples
/ 273
6.8
Systems for (I«»K) Filters
/ 275
6.9
Two-Port Knowledge Network
/ 277
6.9.1
Two-Port Electrical Network Theory
/ 278
6.9.2
Configuration of a Two-Port Knowledge
Network
/ 279
6.9.3
Mathematical Implications of the Two Port
Network
/ 283
6.9.4
Change of Operators
(+,
χ
, /,
and
=) / 283
6.9.5
Intelligent Two-Port Knowledge Networks
/ 286
6.9.6
Needs, Knowledge, and Innovations
/ 286
6.10
Knowledge Gates
/ 286
6.10.1
Knowledge-Based AND Gate
/ 289
6.10.2
Knowledge-Based OR Gate
/ 290
6.10.3
Knowledge-Based NOT Gate
/ 291
6.10.4
Practical Use of Knowledge Gates
/ 292
6.11
Contamination of (I«»K)
/ 295
6.12
Decontamination of Knowledge
/ 297
6.13
Conclusions
/ 300
References
/ 302
6.A.1
Γ
-Zero Filtering and Output
В О К -Т
/ 303
6.A.2
R
-Zero Filtering and Output
В
ΟΚχ
-R
/
304
6.A.3 TR-Zero Filtering and Output
В
ОКг
-TR
/ 305
6.B.1
S-Zero
Filtering and Output
ΒΟΚχ
-S
/
310
6.B.2 Generality of Information Filtering
/310
6.C.1 Application to Three Positive Noun Objects
/ 312
6.C.2 Filter Template Based on TVB
/314
XU CONTENTS
6.C.3 New Filter Template
Based on TVB
and Soul /316
7
Process and Change of Entropy
320
Chapter Summary
/ 320
7.1
Actions and Entropy
/ 321
7.2
Knowledge-Centric Objects
/ 321
7.2.1
Passive Knowledge-Centric Objects
/ 322
7.2.2
Reactive or Intelligent Knowledge-Centric Objects
/ 322
7.3
Classification of Knowledge-Centric Objects
/ 326
7.3.1
Single Simple Knowledge Object (SSKO)
/ 327
7.3.2
Single Simple Knowledge Object, Single Attribute
(SSKO-SA)
/ 328
7.3.3
Single Simple Knowledge Object, Multiple Attributes
(l
-л)
/
328
7.3.4
Single Complex Knowledge Object, Single Dependent
Object
/ 329
7.3.5
Single Complex Knowledge Object, Single Dependent
Object, Single Attribute
/ 330
7.3.6
Single Complex Knowledge Object, Single Dependent
Object, Multiple Attributes
η
/ 330
7.3.7
Single Complex Knowledge Object, Multiple Dependent
Objects
£ / 331
7.3.8
Single Complex Knowledge Object, Multiple Dependent
Objects
Í,
One Attribute
/ 332
7.3.9
Single Complex Knowledge Object, Multiple Dependent
Objects ¿, Multiple Attributes
η
/ 333
7.4
Clusters of Complex Knowledge-Centric Objects
/ 333
7.4.1
Multiple Complex Knowledge Objects m, Multiple
Dependent Objects i, Single Attribute
/ 334
7.4.2
Multiple Complex Knowledge Objects m, Multiple
Dependent Objects
Í,
Multiple Attributes
η
/ 335
7.5
Single-Process Kopcodes for Generic Knowledge-Centric
Objects
/ 336
7.5.1
Single-Process kopcodes for Simple Objects
/ 336
7.5.2
Single-Process kopc for Single Complex Object
/ 337
7.5.3
Single-Process kopc for Multiple Complex Objects
/ 339
7.6
Multiple-Process Instructions
/ 340
7.6.1
MP-MCKO-MDO-NA, Class-16 kopclb
Instruction
/ 340
CONTENTS XIII
7.6.2
MP-MCKO-MDO-SA, Class-17
корсП
Instruction
/ 340
7.6.3
MP-MCKO-MDO-MA, Class-18 kopclS
Instruction
/ 340
7.7
Passive Kopcs
/ 341
7.7.1
Report Generation kopcs on Passive Knowledge-Centric
Objects
/ 342
7.7.2
Report Generation kopcs on Dynamic Knowledge-Centric
Objects
/ 343
7.8
Active Kopcs
/ 343
7.8.1
Active kopcs for Passive Knowledge-Centric
Objects
/ 344
7.8.2
Active kopcs for Reactive Knowledge-Centric
Objects
/ 345
7.8.3
Active kopcs for Intelligent Knowledge-Centric
Objects
/ 345
7.9
Execution of Multiple-Process Instructions
/ 346
7.10
Iterative and Reflexive Processing
/ 347
7.11
Macroinstructions
for Knowledge Processor Units
/ 347
7.12
Knowledge Processor Unit Architectures for kopcOl
— 12
Instructions
/ 348
7.12.1
Single-Process Single-Object Processors and
Machines
/ 348
7.12.2
Multiple-Process Multiple-Object Processors and
Machines
/ 350
7.13
Conclusions
/ 353
References
/ 354
8
Knowledge System Architectures
355
Chapter Summary
/ 355
8.1
From the Central Processor Unit to Knowledge Processor
Unit
/ 356
8.2
The Philosophic Dimension
/ 357
8.3
Iterative Cyclic Social Processes
/ 359
8.3.1
Awareness and Knowledge
/ 359
8.3.2
Communications and Interactions
/ 362
8.3.3
Bargaining and Negotiation
/ 363
8.3.4
Compromise During Transactions
/ 363
8.3.5
Adjustment and Relationships
/ 363
8.4
The Scientific Dimension
/ 364
XIV
CONTENTS
8.4.1
The Search for Precision and Infallibility
/ 364
8.4.2
Machine Accuracy and Human Adaptability
/ 365
8.5
Varieties of Processors and Machines
/ 365
8.5.1
Central Processor Units and Generic Computers
/ 366
8.5.2
Communications Processor and Electronic Switching
Systems
/ 373
8.5.3
Input/Output Processors
/ 379
8.5.4
Display/Graphics Processor Units
/ 380
8.5.5
Numeric Processor Units and Array Processors
/ 382
8.5.6
Digital Signal Processors
/ 382
8.5.7
Digital Object-Processing Environments
/ 383
8.5.8
Digital Knowledge Environments
/ 386
8.5.9
Digital Medical-Processing Environments
/ 394
8.6
The Trend of Concepts
/ 401
8.6.1
Bridge between Science and Wisdom
/ 401
8.6.2
Concept Processing
/ 406
8.6.3
Human Concept Machines
/ 406
8.7
Recent Trends Toward Wisdom
/ 406
8.7.1
Artificial Wisdom
/ 407
8.7.2
Old and New Wisdom
/ 409
8.7.3
Wisdom in Machines and Instinct in Humans
/ 411
8.8
The Trend of Values and Ethics
/ 412
8.8.1
Ethical Issues and Role of Machines
/ 412
8.8.2
Conflictive Roles of Humans and Machines
/ 413
8.9
Conclusions
/ 413
References
/ 414
9
Humans, Machines, and Networks
416
Chapter Summary
/ 416
9.1
Ethics and Values in High-Tech Society
/ 417
9.2
Needs that Drive
/ 419
9.3
Networks that Transport
/ 420
9.4
Overlap of Needs and Networks
/ 423
9.4.1
The Human and Social Aspects
/ 423
9.4.2
Individual Needs
/ 424
9.4.3
Individuals, Machines, and Networks
/ 424
9.4.4
Corporate Needs
/ 427
9.4.5
Corporations, Computers, and Networks
/ 428
CONTENTS
XV
9.4.6
Societal Needs
/ 429
9.4.7
Societies, Machines, and Networks
/ 430
9.5
Rationality of Humanistic Machines
/431
9.5.1
The Human Element
/ 435
9.5.2
The Open Human Inter-Connect Model
/ 438
9.5.3
Role of Open Human Inter-Connect in National/Social
Settings
/ 440
9.6
Wisdom Domain and Knowledge Rush
/ 440
9.6.1
Pitfalls in a Knowledge Society
/ 442
9.6.2
Humanistic Systems that Refuse
/ 443
9.7
Needs Pyramid of a Society
/ 443
9.7.1
Individuals as Reputatuble Writers
/ 445
9.7.2
Machines as Processors of Information
/ 445
9.8
Self-Perpetuating Power Loops
/ 447
9.9
Convergence of Knowledge and Motivation
Hierarchies
/ 450
9.9.1
The Hierarchy of Knowledge
/ 451
9.9.2
The Hierarchy of Motivation
/ 453
9.10
Knowledge Machines on Knowledge
/ 455
9.11
Conclusions
/ 456
References
/458
10
Architecture of Knowledge
460
Chapter Summary
/ 460
10.1
A New Breed of Knowledge
/ 461
10.2
The Knowledge Loop and Its Stability
/ 462
10.3
Continuity of Knowledge
/ 465
10.4
Three Orientations of Wisdom
/ 466
10.5
Long-Term
Movements within the K-Loop
/ 468
10.6
Conflicti
ve
Roles of TVBoDAH Orientations
/ 469
10.7
Tracking of The K-Loops
/ 469
10.7.1
Expansionary Upward Movement (TVB)
/ 470
10.7.2
Recessive Downward Movement
(DAH)
/ 471
10.8
Details of Upward Migration
/ 472
10.9
Details of Downward Migration
/ 473
10.10
Knowledge Loops in the Z-And F-Dimensions
/ 473
10.11
Four Ports of Super-Node
К
/ 476
10.12
Construction of A Knowledge Plane
/ 477
XVI
CONTENTS
10.12.1
Embedded Noun Objects and Verb Functions
/ 477
10.12.2
Primary K-Plane in the ZF-Dimensions
/ 478
10.13
Knowledge Bases in the Primary K-Plane
/ 479
10.14
Successive K-Loops in the Time Dimension
/ 479
10.14.1
Stacking of K-Loops
/ 479
10.14.2
Lessons from Knowledge Lost
/ 483
10.14.3
Cosmic Space, Knowledge Space, and Intellectual
Space
/ 484
10.15
The Nebula of Knowledge: Knowbula
/ 486
10.16
Hindsight and Foresight
/ 489
10.16.1
Coarse Survey of Human Struggle
/ 489
10.16.2
Scan of Modern Methodologies
/ 490
10.16.3
Structured and Predictive Knowledge
/ 491
10.17
Knowledge, Freedom, and Creativity
/ 493
10.17.1
Knowbula Almost Fills the Cube of Knowledge
/ 493
10.17.2
Knowbula Loosely Fits the Cube of Knowledge
/ 495
10.17.3
Knowbula Becomes Insignificant in the Cube of
Knowledge
/ 496
10.18
Knowledge and Money
/ 496
10.19
Pinnacle of Mind and Infinity of Thought
/ 498
10.20
Social Migration and Political Agenda
/ 500
10.21
Conclusions
/ 502
Reference
/ 503
Acronyms
505
Index
519
Author Biography
537
|
| any_adam_object | 1 |
| author | Ahamed, Syed V. |
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| dewey-full | 006.3/12 |
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| dewey-search | 006.3/12 |
| dewey-sort | 16.3 212 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV036336379 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:37:40Z |
| institution | BVB |
| isbn | 9780470446867 0470446862 |
| language | English |
| lccn | 2008052043 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020217102 |
| oclc_num | 277040921 |
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| physical | xxvii, 538 S. Ill. 25 cm |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Wiley |
| record_format | marc |
| spelling | Ahamed, Syed V. Verfasser aut Computational framework for knowledge integrated behavior of machines Syed V. Ahamed Hoboken, N.J. Wiley 2009 xxvii, 538 S. Ill. 25 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Data mining Web databases Knowledge acquisition (Expert systems) Wissenstechnik (DE-588)4192641-9 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Wissenstechnik (DE-588)4192641-9 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020217102&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ahamed, Syed V. Computational framework for knowledge integrated behavior of machines Data mining Web databases Knowledge acquisition (Expert systems) Wissenstechnik (DE-588)4192641-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4192641-9 (DE-588)4114528-8 |
| title | Computational framework for knowledge integrated behavior of machines |
| title_auth | Computational framework for knowledge integrated behavior of machines |
| title_exact_search | Computational framework for knowledge integrated behavior of machines |
| title_full | Computational framework for knowledge integrated behavior of machines Syed V. Ahamed |
| title_fullStr | Computational framework for knowledge integrated behavior of machines Syed V. Ahamed |
| title_full_unstemmed | Computational framework for knowledge integrated behavior of machines Syed V. Ahamed |
| title_short | Computational framework for knowledge |
| title_sort | computational framework for knowledge integrated behavior of machines |
| title_sub | integrated behavior of machines |
| topic | Data mining Web databases Knowledge acquisition (Expert systems) Wissenstechnik (DE-588)4192641-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Data mining Web databases Knowledge acquisition (Expert systems) Wissenstechnik Mathematisches Modell |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020217102&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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