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1.

電子ブック
ＥＢ
1. Knowledge-Based Intelligent Information and Engineering Systems
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Takeo Kanade
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2006
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2.

電子ブック
ＥＢ
2. Knowledge-Based Intelligent Information and Engineering Systems
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Takeo Kanade
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2006
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3.

電子ブック
ＥＢ
3. Knowledge-Based Intelligent Information and Engineering Systems
Ignac Lovrek, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, J?rg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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4.

電子ブック
ＥＢ
4. Knowledge-Based Intelligent Information and Engineering Systems
Ignac Lovrek, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, J?rg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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5.

電子ブック
ＥＢ
5. Knowledge-Based Intelligent Information and Engineering Systems
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Takeo Kanade
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2006
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6.

電子ブック
ＥＢ
6. Knowledge-Based Intelligent Information and Engineering Systems
Ignac Lovrek, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, J?rg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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7.

電子ブック
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7. Cognitive Engineering
Amit Konar, L. C. Jain, Lakhmi C. Jain
出版情報: Springer eBooks Computer Science , Springer London, 2005
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目次情報: 続きを見る
Foreword
Preface
Acknowledgments
The Psychological Basis of Cognitive Modeling / Chapter 1：
Introduction / 1.1：
Cognitive Models of Pattern Recognition / 1.2：
Template-Matching Theory / 1.2.1：
Prototype-Matching Theory / 1.2.2：
Feature-Based Approach for Pattern Recognition / 1.2.3：
The Computational Approach / 1.2.4：
Cognitive Models of Memory / 1.3：
Atkinson-Shiffrin's Model / 1.3.1：
Debates on Atkinson-Shiffrin's Model / 1.3.2：
Tulving's Model / 1.3.3：
The Parallel Distributed Processing Approach / 1.3.4：
Mental Imagery / 1.4：
Mental Representation of Imagery / 1.4.1：
Rotation of Mental Imagery / 1.4.2：
Imagery and Size / 1.4.3：
Imagery and Shape / 1.4.4：
Part-Whole Relationship in Mental Imagery / 1.4.5：
Ambiguity in Mental Imagery / 1.4.6：
Neurophysiological Similarity between Imagery and Perception / 1.4.7：
Cognitive Maps of Mental Imagery / 1.4.8：
Understanding a Problem / 1.5：
Steps in Understanding a Problem / 1.5.1：
A Cybernetic View of Cognition / 1.6：
The States of Cognition / 1.6.1：
Computational Modeling of Cognitive Systems / 1.7：
Petri Nets: A Brief Review / 1.8：
Extension of Petri Net Models for Distributed Modeling of Cognition / 1.9：
Scope of the Book / 1.10：
Summary / 1.11：
Exercises
References
Parallel and Distributed Logic Programming / Chapter 2：
Formal Definitions / 2.1：
Preliminary Definitions / 2.2.1：
Properties of the Substitution Set / 2.2.2：
SLD Resolution / 2.2.3：
Concurrency in Resolution / 2.3：
Types of Concurrent Resolution / 2.3.1：
Petri Net Model for Concurrent Resolution / 2.4：
Extended Petri Net / 2.4.1：
Algorithm for Concurrent Resolution / 2.4.2：
Performance Analysis of Petri Net-Based Models / 2.5：
The Speed-up / 2.5.1：
The Resource Utilization Rate / 2.5.2：
Resource Unlimited Speed-up and Utilization Rate / 2.5.3：
Conclusions / 2.6：
Distributed Reasoning by Fuzzy Petri Nets: A Review / Chapter 3：
Fuzzy Logic and Approximate Reasoning / 3.1：
Structured Models of Approximate Reasoning / 3.2：
Looney's Model / 3.3：
The Model Proposed by Chen et al / 3.4：
Konar and Mandal's Model / 3.5：
Yu's Model / 3.6：
Chen's Model for Backward Reasoning / 3.7：
Bugarin and Barro's Model / 3.8：
Pedrycz and Gomide's Learning Model / 3.9：
Construction of Reduction Rules Using FPN / 3.10：
Scope of Extension of Fuzzy Reasoning on Petri Nets / 3.11：
Belief Propagation and Belief Revision Models in Fuzzy Petri Nets / 3.12：
Imprecision Management in an Acyclic FPN / 4.1：
Formal Definitions and the Proposed Model / 4.2.1：
Proposed Model for Belief Propagation / 4.2.2：
Proposed Algorithm for Belief Propagation / 4.2.3：
Properties of FPN and Belief Propagation Scheme / 4.2.4：
Imprecision and Inconsistency Management in a Cyclic FPN / 4.3：
Proposed Model for Belief Revision / 4.3.1：
Stability Analysis of the Belief Revision Model / 4.3.2：
Detection and Elimination of Limit Cycles / 4.3.3：
Nonmonotonic Reasoning in an FPN / 4.3.4：
Building Expert Systems Using Fuzzy Petri Nets / 4.4：
The Database / 5.1：
The Data-tree / 5.2.1：
The Knowledge Base / 5.3：
The Inference Engine / 5.4：
Searching Antecedent Parts of PR in the Data-tree / 5.4.1：
Formation of the FPN / 5.4.2：
Decision Making and Explanation Tracing / 5.4.3：
A Case Study / 5.5：
Performance Evaluation / 5.6：
Time-Complexisty for the Default-Data-Tree-Formation Procedure / 5.6.1：
Time-Complexity for the Procedure Suspect-Identification / 5.6.2：
Time-Complexity for the Procedure Variable-Instantiation-of-PRs / 5.6.3：
Time-Complexity for the Procedure Create-tree / 5.6.4：
Time-Complexity for the Procedure Search-on-Data-Tree / 5.6.5：
Time-Complexity for the Procedure FPN-Formation / 5.6.6：
Time-Complexity for the Belief-Revision and Limit-Cycle-Detection Procedure / 5.6.7：
Time-Complexity Analysis for the Procedure Limit-Cycle-Elimination / 5.6.8：
Time-Complexity for the Procedure Nonmonotonic Reasoning / 5.6.9：
Time-Complexity for the Procedure Decision-Making and Explanation Tracing / 5.6.10：
Time-Complexity of the Overall Expert System / 5.6.11：
Distributed Learning Using Fuzzy Cognitive Maps / 5.7：
Axelord's Cognitive Maps / 6.1：
Kosko's Model / 6.3：
Kosko's Extended Model / 6.4：
Adaptive FCMs / 6.5：
Zhang, Chen, and Bezdek's Model / 6.6：
Pal and Konar's FCM Model / 6.7：
Unsupervised Learning by Fuzzy Petri Nets / 6.8：
The Proposed Model for Cognitive Learning / 7.1：
Encoding of Weights / 7.2.1：
The Recall Model / 7.2.2：
State-Space Formulation / 7.3：
State-Space Model for Belief Updating / 7.3.1：
State-Space Model for FTT Updating of Transitions / 7.3.2：
State-Space Model for Weights / 7.3.3：
Stability Analysis of the Cognitive Model / 7.4：
Computer Simulation / 7.5：
Implication of the Results / 7.6：
Knowledge Refinement by Hebbian Learning / 7.7：
The Encoding Model / 7.7.1：
The Recall/Reasoning Model / 7.7.2：
Case Study by Computer Simulation / 7.7.3：
Supervised Learning by a Fuzzy Petri Net / 7.7.4：
Proposed Model of Fuzzy Petri Nets / 8.1：
Algorithm for Training / 8.2.1：
Analysis of Convergence / 8.4：
Application in Fuzzy Pattern Recognition / 8.5：
Distributed Modeling of Abduction, Reciprocity, and Duality by Fuzzy Petri Nets / 8.6：
State-Space Formulation of the Proposed FPN Model / 9.1：
The Behavioral Model of FPN / 9.3.1：
State-Space Formulation of the Model / 9.3.2：
Special Cases of the Model / 9.3.3：
Stability Analysis / 9.4：
Forward Reasoning in FPNs / 9.5：
Abductive Reasoning in FPN / 9.6：
Bi-directional Reasoning in an FPN / 9.7：
Fuzzy Modus Tollens and Duality / 9.8：
Human Mood Detection and Control: A Cybernetic Approach / 9.9：
Filtering, Segmentation and Localization of Facial Components / 10.1：
Segmentation of the Mouth Region / 10.2.1：
Segmentation of the Eye Region / 10.2.2：
Segmentation of Eyebrow Constriction / 10.2.3：
Determination of Facial Attributes / 10.3：
Determination of the Mouth-Opening / 10.3.1：
Determination of the Eye-Opening / 10.3.2：
Determination of the Length of Eyebrow-Constriction / 10.3.3：
Fuzzy Relational Model for Mood Detection / 10.4：
Fuzzification of Facial Attributes / 10.4.1：
The Fuzzy Relational Model for Mood Detection / 10.4.2：
Validation of System Performance / 10.5：
A Basic Scheme of Human Mood Control / 10.6：
A Simple Model of Human Mood Transition Dynamics / 10.7：
The Model / 10.7.1：
Properties of the Model / 10.7.2：
The Proportional Model of Human Mood Control / 10.8：
Mamdani's Model for Mood Control / 10.9：
Ranking the Music, Audio, and Video Clips / 10.10：
Experimental Results / 10.11：
Distributed Planning and Multi-agent Coordination of Robots / 10.12：
Single-Agent Planning / 11.1：
Multi-Agent Planning / 11.3：
Task Sharing and Distribution in Multi-agent Planning / 11.3.1：
Cooperation with/without Communication / 11.3.2：
Homogeneous and Heterogeneous Distributed Planning / 11.3.3：
Vision-based Transportation of Blocks by Two Robots / 11.4：
Timing Analysis of the Transportation Problem / 11.5：
Analysis with Two agents / 11.6.1：
Analysis with /-agents / 11.6.2：
Index / 11.7：
Foreword
Preface
Acknowledgments
8.

電子ブック
ＥＢ
8. Computational Intelligence in Fault Diagnosis
Lakhmi Jain, Cosmin Danut Bocaniala, L. C. Jain, Vasile Palade, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2006
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目次情報: 続きを見る
Contributors
Foreword
Preface
Computational intelligence methodologies in fault diagnosis: Review and state of the art / Cosmin Danut Bocaniala ; Vasile Palade1：
A fuzzy logic approach to gas path diagnostics in aero-engines / Luca Marinai ; Riti Singh2：
Fault detection and isolation of industrial processes using optimized fuzzy models / Luis Mendonca ; Joao Sousa ; Jose Sa da Costa3：
A fuzzy classification technique applied to fault diagnosis / 4：
Fuzzy-statistical reasoning in fault diagnosis / Dan Stefanoiu ; Florin Ionescu5：
Artificial neural networks in fault diagnosis: A gas turbine scenario / Stephen Ogaji6：
Two-stage neural networks based classifier system for fault diagnosis / Arunas Lipnickas7：
Soft computing models for fault diagnosis of conductive flow systems / Viorel Ariton8：
Fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction / Kok Yeng Chen ; Chee Peng Lim ; Weng Kin Lai9：
Fuzzy neural networks applied to fault diagnosis / Joao Calado10：
Causal models for distributed fault diagnosis of complex systems / 11：
Index
Contributors
Foreword
Preface
9.

電子ブック
ＥＢ
9. Knowledge-Based Intelligent Information and Engineering Systems
International Conference on Knowledge-Based Intelligent Engineering Systems, Robert J. Howlett, L. C. Jain, Takeo Kanade, Rajiv Khosla, Lakhmi C. Jain
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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10.

電子ブック
ＥＢ
10. Knowledge-Based Intelligent Information and Engineering Systems
International Conference on Knowledge-Based Intelligent Engineering Systems, Robert J. Howlett, L. C. Jain, Takeo Kanade, Rajiv Khosla, Lakhmi C. Jain
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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