Cognitive engineering: a distributed approach to machine intelligence
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Springer
2005
|
| Schriftenreihe: | Advanced information and knowledge processing
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014655233&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | XVIII, 353 S. Ill., graph. Darst. |
| ISBN: | 1852339756 9781852339753 |
Internformat
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| 245 | 1 | 0 | |a Cognitive engineering |b a distributed approach to machine intelligence |c Amit Konar and Lakhmi Jain |
| 264 | 1 | |a London |b Springer |c 2005 | |
| 300 | |a XVIII, 353 S. |b Ill., graph. Darst. | ||
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| 490 | 0 | |a Advanced information and knowledge processing | |
| 650 | 7 | |a Cognitie |2 gtt | |
| 650 | 7 | |a Kennissystemen |2 gtt | |
| 650 | 7 | |a Kunstmatige intelligentie |2 gtt | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Cognitive psychology | |
| 650 | 4 | |a Distributed artificial intelligence | |
| 650 | 4 | |a Fuzzy Petri nets | |
| 650 | 4 | |a Neural networks (Neurobiology) |x Mathematical models | |
| 650 | 0 | 7 | |a Ergonomie |0 (DE-588)4015249-2 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Mensch-Maschine-Kommunikation |0 (DE-588)4125909-9 |2 gnd |9 rswk-swf |
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Datensatz im Suchindex
| _version_ | 1819285345418608640 |
|---|---|
| adam_text | Contents
Fo reword v
Preface vn
Acknowledgments xi
Chapter 1: The Psychological Basis of Cognitive Modeling
1.1 Introduction 1
1.2 Cognitive Models of Pattern Recognition 3
1.2.1 Template Matching Theory 3
1.2.2 Prototype Matching Theory 4
1.2.3 Feature Based Approach for Pattern Recognition 4
1.2.4 The Computational Approach 5
1.3 Cognitive Models of Memory 6
1.3.1 Atkinson Shiffrin s Model 6
1.3.2 Debates on Atkinson Shiffrin s Model 8
1.3.3 Tulving s Model 8
1.3.4 The Parallel Distributed Processing Approach 11
1.4 Mental Imagery
1.4.1 Mental Representation of Imagery 12
1.4.2 Rotation of Mental Imagery 12
1.4.3 Imagery and Size 13
1.4.4 Imagery and Shape 14
1.4.5 Part Whole Relationship in Mental Imagery 14
1.4.6 Ambiguity in Mental Imagery 15
1.4.7 Neurophysiological Similarity between Imagery and
Perception 15
1.4.8 Cognitive Maps of Mental Imagery 15
1.5 Understanding a Problem 17
1.5.1 Steps in Understanding a Problem 18
1.6 A Cybernetic View of Cognition 19
1.6.1 The States of Cognition 20
1.7 Computational Modeling of Cognitive Systems 24
1.8 PetriNets: A Brief Review 25
1.9 Extension of Petri Net Models for Distributed Modeling
of Cognition 29
1.10 Scope of the Book 31
1.11 Summary 31
Exercises 32
References 35
Chapter 2: Parallel and Distributed Logic Programming
2.1 Introduction 39
2.2 Formal Definitions 41
Xiv Contents
2.2.1 Preliminary Definitions 41
2.2.2 Properties of the Substitution Set 45
2.2.3 SLD Resolution 47
2.3 Concurrency in Resolution 52
2.3.1 Preliminary Definitions 52
2.3.2 Types of Concurrent Resolution 55
2.4 Petri Net Model for Concurrent Resolution 61
2.4.1 Extended Petri Net 61
2.4.2 Algorithm for Concurrent Resolution 63
2.5 Performance Analysis of Petri Net Based Models 67
2.5.1 The Speed up 67
2.5.2 The Resource Utilization Rate 68
2.5.3 Resource Unlimited Speed up and Utilization Rate 69
2.6 Conclusions 70
Exercises 70
References 82
Chapter 3: Distributed Reasoning by Fuzzy Petri Nets: A
Review
3.1 Fuzzy Logic and Approximate Reasoning 85
3.2 Structured Models of Approximate Reasoning 87
3.3 Looney s Model 89
3.4 The Model Proposed by Chen et al 91
3.5 Konar and Mandal s Model 93
3.6 Yu s Model 97
3.7 Chen s Model for Backward Reasoning 100
3.8 Bugarin and Barro s Model 102
3.9 Pedrycz and Gomide s Learning Model 107
3.10 Construction of Reduction Rules Using FPN 110
3.11 Scope of Extension of Fuzzy Reasoning on Petri Nets 115
3.12 Summary 116
Exercises 117
References 121
Chapter 4: Belief Propagation and Belief Revision Models in
Fuzzy Petri Nets
4.1 Introduction 123
4.2 Imprecision Management in an Acyclic FPN 125
4.2.1 Formal Definitions and the Proposed Model 126
4.2.2 Proposed Model for Belief Propagation 126
4.2.3 Proposed Algorithm for Belief Propagation 128
4.2.4 Properties of FPN and Belief Propagation Scheme 132
4.3 Imprecision and Inconsistency Management in a Cyclic FPN 134
Cognitive Engineering: A Distributed Approach to Machine Intelligence XV
4.3.1 Proposed Model for Belief Revision 134
4.3.2 Stability Analysis of the Belief Revision Model 135
4.3.3 Detection and Elimination of Limit Cycles 141
4.3.4 Nonmonotonic Reasoning in an FPN 144
4.4 Conclusions 147
Exercises 148
References 151
Chapter 5: Building Expert Systems Using Fuzzy Petri Nets
5.1 Introduction 153
5.2 The Database 155
5.2.1 The Data tree 155
5.3 The Knowledge Base 157
5.4 The Inference Engine 160
5.4.1 Searching Antecedent Parts of PR in the Data tree 160
5.4.2 Formation of the FPN 162
5.4.3 Decision Making and Explanation Tracing 163
5.5 A Case Study 163
5.6 Performance Evaluation 166
5.6.1 Time Complexisty for the Default Data Tree Formation
Procedure 166
5.6.2 Time Complexity for the Procedure Suspect Identification... 167
5.6.3 Time Complexity for the Procedure Variable Instantiation
of PRs 168
5.6.4 Time Complexity for the Procedure Create tree 169
5.6.5 Time Complexity for the Procedure Search on Data Tree 170
5.6.6 Time Complexity for the Procedure FPN Formation 171
5.6.7 Time Complexity for the Belief Revision and Limit Cycle
Detection Procedure 173
5.6.8 Time Complexity Analysis for the Procedure
Limit Cycle Elimination 174
5.6.9 Time Complexity for the Procedure Nonmonotonic
Reasoning 175
5.6.10 Time Complexity for the Procedure
Decision Making and Explanation Tracing 176
5.6.11 Time Complexity of the Overall Expert System 177
5.7 Conclusions 178
Exercises 178
References 179
Chapter 6: Distributed Learning Using Fuzzy Cognitive
Maps
6.1 Introduction 181
6.2 Axelord s Cognitive Maps 182
XVI Contents
6.3 Kosko s Model 184
6.4 Kosko s Extended Model 187
6.5 Adaptive FCMs 188
6.6 Zhang, Chen, and Bezdek s Model 189
6.7 Pal and Konar s FCM Model 191
6.8 Conclusions 197
Exercises 197
References 201
Chapter 7: Unsupervised Learning by Fuzzy Petri Nets
7.1 Introduction 205
7.2 The Proposed Model for Cognitive Learning 206
7.2.1 Encoding of Weights 208
7.2.2 The Recall Model 208
7.3 State Space Formulation 210
7.3.1 State Space Model for Belief Updating 211
7.3.2 State Space Model for FTT Updating of Transitions 211
7.3.3 State Space Model for Weights 212
7.4 Stability Analysis of the Cognitive Model 212
7.5 Computer Simulation 216
7.6 Implication of the Results 219
7.7 Knowledge Refinement by Hebbian Learning 219
7.7.1 The Encoding Model 219
7.7.2 The Recall/Reasoning Model 221
7.7.3 Case Study by Computer Simulation 221
7.7.4 Implication of the Results 226
7.8 Conclusions 226
Exercises 228
References 229
Chapter 8: Supervised Learning by a Fuzzy Petri Net
8.1 Introduction 233
8.2 Proposed Model of Fuzzy Petri Nets 234
8.2.1 State Space Formulation 236
8.3 Algorithm for Training 238
8.4 Analysis of Convergence 243
8.5 Application in Fuzzy Pattern Recognition 245
8.6 Conclusions 252
Exercises 252
References 253
Cognitive Engineering: A Distributed Approach to Machine Intelligence XVII
Chapter 9: Distributed Modeling of Abduction, Reciprocity,
and Duality by Fuzzy Petri Nets
9.1 Introduction 257
9.2 Formal Definitions 259
9.3 State Space Formulation of the Proposed FPN Model 262
9.3.1 The Behavioral Model of FPN 263
9.3.2 State Space Formulation of the Model 265
9.3.3 Special Cases of the Model 266
9.4 Stability Analysis 269
9.5 Forward Reasoning in FPNs 272
9.6 Abductive Reasoning in FPN 274
9.7 Bi directional Reasoning in an FPN 279
9.8 Fuzzy Modus Tollens and Duality 288
9.9 Conclusions 291
Exercises 292
References 293
Chapter 10: Human Mood Detection and Control: A
Cybernetic Approach
10.1 Introduction 297
10.2 Filtering, Segmentation and Localization of Facial Components.. ..299
10.2.1 Segmentation of the Mouth Region 300
10.2.2 Segmentation of the Eye Region 302
10.2.3 Segmentation of Eyebrow Constriction 303
10.3 Determination of Facial Attributes 303
10.3.1 Determination of the Mouth Opening 303
10.3.2 Determination of the Eye Opening 304
10.3.3 Determination of the Length of Eyebrow Constriction 305
10.4 Fuzzy Relational Model for Mood Detection 306
10.4.1 Fuzzification of Facial Attributes 306
10.4.2 The Fuzzy Relational Model for Mood Detection 307
10.5 Validation of System Performance 309
10.6 A Basic Scheme of Human Mood Control 310
10.7 A Simple Model of Human Mood Transition Dynamics 311
10.7.1 The Model 312
10.7.2 Properties of the Model 315
10.8 The Proportional Model of Human Mood Control 317
10.9 Mamdani s Model for Mood Control 318
10.10 Ranking the Music, Audio, and Video Clips 326
10.11 Experimental Results 327
10.12 Conclusions 328
Exercises 328
References 329
XVIII Contents
Chapter 11: Distributed Planning and Multi agent
Coordination of Robots
11.1 Introduction 331
11.2 Single Agent Planning 333
11.3 Multi Agent Planning 336
11.3.1 Task Sharing and Distribution in Multi agent Planning 336
11.3.2 Cooperation with/without Communication 336
11.3.3 Homogeneous and Heterogeneous Distributed Planning 338
11.4 Vision based Transportation of Blocks by Two Robots 339
11.5 Experimental Results 341
11.6 Timing Analysis of the Transportation Problem 343
11.6.1 Analysis with Two agents 343
11.6.2 Analysis with / agents 345
11.7 Conclusions 347
Exercises 347
References 348
Index 351
|
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| id | DE-604.BV021403290 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T12:33:40Z |
| institution | BVB |
| isbn | 1852339756 9781852339753 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014655233 |
| oclc_num | 890432315 |
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| owner_facet | DE-473 DE-BY-UBG DE-706 DE-384 |
| physical | XVIII, 353 S. Ill., graph. Darst. |
| publishDate | 2005 |
| publishDateSearch | 2005 |
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| publisher | Springer |
| record_format | marc |
| series2 | Advanced information and knowledge processing |
| spellingShingle | Konar, Amit Jain, L. C. 1946- Cognitive engineering a distributed approach to machine intelligence Cognitie gtt Kennissystemen gtt Kunstmatige intelligentie gtt Mathematisches Modell Cognitive psychology Distributed artificial intelligence Fuzzy Petri nets Neural networks (Neurobiology) Mathematical models Ergonomie (DE-588)4015249-2 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Kognition (DE-588)4031630-0 gnd |
| subject_GND | (DE-588)4015249-2 (DE-588)4125909-9 (DE-588)4031630-0 |
| title | Cognitive engineering a distributed approach to machine intelligence |
| title_auth | Cognitive engineering a distributed approach to machine intelligence |
| title_exact_search | Cognitive engineering a distributed approach to machine intelligence |
| title_full | Cognitive engineering a distributed approach to machine intelligence Amit Konar and Lakhmi Jain |
| title_fullStr | Cognitive engineering a distributed approach to machine intelligence Amit Konar and Lakhmi Jain |
| title_full_unstemmed | Cognitive engineering a distributed approach to machine intelligence Amit Konar and Lakhmi Jain |
| title_short | Cognitive engineering |
| title_sort | cognitive engineering a distributed approach to machine intelligence |
| title_sub | a distributed approach to machine intelligence |
| topic | Cognitie gtt Kennissystemen gtt Kunstmatige intelligentie gtt Mathematisches Modell Cognitive psychology Distributed artificial intelligence Fuzzy Petri nets Neural networks (Neurobiology) Mathematical models Ergonomie (DE-588)4015249-2 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd Kognition (DE-588)4031630-0 gnd |
| topic_facet | Cognitie Kennissystemen Kunstmatige intelligentie Mathematisches Modell Cognitive psychology Distributed artificial intelligence Fuzzy Petri nets Neural networks (Neurobiology) Mathematical models Ergonomie Mensch-Maschine-Kommunikation Kognition |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014655233&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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