+612 9045 4394
 
CHECKOUT
Fuzzy-Neuro Approach to Agent Applications : From the AI Perspective to Modern Ontology - Raymond S. T. Lee

Fuzzy-Neuro Approach to Agent Applications

From the AI Perspective to Modern Ontology

Hardcover Published: 18th November 2005
ISBN: 9783540212034
Number Of Pages: 376

Share This Book:

Hardcover

RRP $252.99
$174.80
31%
OFF
or 4 easy payments of $43.70 with Learn more
Ships in 10 to 15 business days

Other Available Editions (Hide)

  • Paperback View Product Published: 12th February 2010
    $125.05

The book provides a full explanation of the concepts and theories of intelligent agents and agent-based systems. Providing a comprehensive theoretical background, the author covers modern artificial intelligence topics such as ontologies, neural networks, chaos theory, fuzzy logics and genetic algorithms. Finally, the author details how the iJADK toolkit (intelligent Java agent development kit for intelligent e-business applications) can be used in the design and implementation phases of real applications. The book can be adopted as the main textbook for courses on intelligent agents, advanced topics in AI or contemporary AI technologies; application developers can use it as a complete technical guide and reference manual for the iJADK toolkit; and researchers can use it as a comprehensive reference book on modern AI techniques, and will benefit particularly from the books extensive literature survey.

Introductionp. 1
The Coming of the Age of Intelligent Agentsp. 1
The Structure of This Bookp. 4
Outline of Each Chapterp. 5
Readers of This Bookp. 10
Concluding Remarksp. 10
Concepts and Theoriesp. 11
The Search for Human Intelligencep. 13
What Is Intelligence?p. 14
The Philosophical View on Intelligencep. 16
Introduction - The Search for Intelligence and Ultimate Knowledgep. 16
The Traditional Philosophical View of Knowledge - Belief, Truth and Justificationp. 17
Rationalistic Versus Empiristic View of Knowledgep. 19
Kant's Critique of Pure Reason and the Theory of Knowledgep. 22
Russell's View of Knowledgep. 26
Krishnamurti's The Awakening of Intelligence - Thought Versus Intelligencep. 27
Lee's Theory on Knowledge and Intelligence - The Unification Theory of Senses and Experiencesp. 28
The Cognitive-Scientific View on Intelligencep. 34
The Cognitive-Scientific Definition of Intelligencep. 34
Spearman's Model of the Nature of Intelligencep. 35
Piaget's Psychology of Intelligencep. 35
Major Approaches of Intelligence - From Psychometric Approach to Latest Studiesp. 36
Gardner's Theory on Multiple Intelligencep. 37
Lee's Unification Theory of Senses and Experiences - The Psychological Interpretationp. 38
The Neuroscience and Neurophysiology View on Intelligencep. 45
The Major Challenges of Mind Science (The Exploration of the Mind from the Neuroscience Perspective)p. 46
A Brief History - The Search for Intelligence in Neurosciencep. 46
Contemporary Research in Mind Science - From Neural Oscillators to the "Chaos in the Brain"p. 49
The Neuroscientific and Neurophysiological Implications of the Unification Theory of Senses and Experiencesp. 51
Summaryp. 53
Concluding Remarksp. 54
From AI to IA - The Emergence of Agent Technologyp. 55
What is AI?p. 56
A Brief History of AIp. 57
The Dartmouth Meeting (1956) - The Birth of AIp. 57
The Turing Test - A Prelude of AIp. 58
Strong Versus Weak AIp. 59
Searle's Chinese Room Thought Experimentp. 60
Development of AI in the Late 1970sp. 61
The "Reincarnation" of Neural Networks in the Late 1980sp. 62
The Birth of IAs in the Late 1990sp. 63
An Overview of the Classification of AI Technologiesp. 64
AI - Where to Go?p. 67
The Coming of the Age of IAsp. 68
What Is an IA? - A "Right" Place to Startp. 68
The Emergence of Agent Technology - The Idea of Portable Intelligencep. 70
The Ten Basic Requirements of IAsp. 73
The Contemporary Variety of IAsp. 74
The Conceptual Model of IAsp. 75
The BFI Agent Intellectual Conceptual Modelp. 76
The Agent Development Conceptual Model (GIA vs. TIA)p. 79
Major Challenges and Threats of Agent Technologyp. 81
Concluding Remarksp. 82
AI Techniques for Agent Constructionp. 83
The World of Fuzziness, Chaos, and Uncertaintyp. 84
Fuzzy Logicp. 85
What is Fuzzy Logic?p. 85
Fuzzy Theory and the Uncertainty Principlep. 86
Fuzzy Logic - A Structural Overviewp. 87
Fuzzy Reasoning - A Case Study on Fuzzy Air-conditioning Control Systemp. 93
Applications of Fuzzy Logicp. 97
Neural Networks - the "Brain" of IAsp. 99
Neural Networks - Backgroundp. 99
ANN Architecturep. 100
Classification of Neural Networksp. 102
Associative Memory Neural Networks: Auto-associative Networksp. 104
Hopfield Networksp. 106
Multilayer Feedforward Backpropagation Networks (FFBPNs)p. 108
Neural Networks - Where to Go?p. 111
Genetic Algorithms - the Nature of Evolutionp. 112
Genetic Algorithms - Basic Principlep. 112
Population Initializationp. 113
Fitness Evaluationp. 114
Parent Selection Schemep. 114
Crossover and Mutationp. 114
Implementation of GAsp. 115
Hybridization of GA with Neural Networksp. 115
Chaos Theory - The World of Nonlinear Dynamicsp. 117
Chaos Theory - The Study of Nonlinear Dynamicsp. 117
Battle Between two Worlds: Deterministic Versus Probabilisticp. 118
A Snapshot of Chaos Theoryp. 120
Characteristics of Chaos Systemsp. 122
Chaos Theory Versus Uncertainty Principlep. 126
Current Work on Chaos Theoryp. 127
Chaotic Neural Networks and the Lee-Oscillatorp. 128
Chaotic Neural Oscillators - An Overviewp. 129
The Lee-Oscillatorp. 135
The Lee-Associatorp. 141
System Implementation and Experimental Resultsp. 143
Progressive Memory Recalling Scheme of the Lee-Associator and Its Biological and Psychological Implicationsp. 149
Related Workp. 156
Conclusionp. 156
Concluding Remarksp. 157
Further Readingp. 160
Applications of Intelligent Agents Using iJADKp. 163
The Design and Implementation of an Intelligent Agent-Based System Using iJADKp. 165
Introductionp. 166
iJADE - System Frameworkp. 168
iJADE Architecturep. 168
Application Layerp. 170
Conscious (Intelligent) Layerp. 171
Technology Layerp. 171
Supporting Layerp. 171
iJADK Architecturep. 172
Introduction to iJADKp. 172
Basic Components of iJADKp. 173
Internal Operations of iJADKp. 176
Agent Programming Over the iJADK Platformp. 179
User Interfacep. 180
Agent Classp. 182
LifeCycleManagerp. 184
RuntimeAgentp. 185
Sample iJADE Agentsp. 185
HelloWorldAgentp. 185
HelloWorldAgent2p. 186
TalkAgentp. 187
Latest Works of iJADEp. 189
Summaryp. 189
iJADE WShopper - Intelligent Mobile Shopping Based on Fuzzy-Neuro Shopping Agentsp. 191
Introductionp. 192
WAP Technologyp. 193
WAP Technology - From Web to MEBp. 193
Constraints for Contemporary WAP Technology on MEBp. 194
iJADE WShopper - System Frameworkp. 195
iJADE WShopper - System Overviewp. 195
iJADE WShopper for M-shopping - System Componentsp. 195
Experimental Resultsp. 199
Introductionp. 199
The RTT Testp. 201
The PS Testp. 203
The iWSAS Testp. 204
Conclusionp. 207
Related Workp. 208
Migration to the J2ME Platformp. 208
Incorporate Other AI Capabilities in the Shopper Agents - iJADE Negotiatorp. 208
iJADE WeatherMAN - A Weather Forecasting Agent Using the Fuzzy Neural Network Modelp. 209
Introductionp. 210
Weather Prediction Using a Fuzzy-Neuro Modelp. 211
iJADE WeatherMAN - System Overviewp. 212
User Requirement Definition Scheme (URDS) and Weather Reporting Scheme (WRS)p. 214
Data Collection Scheme (DCS)p. 215
Variable Selection and Transformation Scheme (VSTS)p. 216
Fuzzy-Neuro Training and Prediction Scheme (FNTPS)p. 217
iJADE WeatherMAN - System Implementationp. 219
iJADE WeatherMAN Weather Sitep. 219
Central Agent/Test Agentp. 220
iJADE WeatherMan Placep. 222
iJADE WeatherMan Agentp. 222
iJADE Weather Forecaster Placep. 222
iJADE Forecaster Agentp. 223
Experimental Resultsp. 223
Evaluation Considerationsp. 224
Average Classification Ratep. 224
Model Performancep. 225
The HKO Forecastp. 226
Conclusionp. 227
Future Workp. 229
iJADE Stock Advisor - An Intelligent Agent-Based Stock Prediction System Using the Hybrid RBF Recurrent Networkp. 231
Introductionp. 232
Stock Advisory and Prediction System - A General Overviewp. 234
Stochastic Indicatorp. 235
Relative Strength Index (RSI)p. 236
Money Flowp. 238
Moving Averagep. 238
Support and Resistant Lines (Trendlines)p. 238
Trend Generalizationp. 239
iJADE Stock Advisor - System Frameworkp. 240
iJADE Stock Advisor - System Overviewp. 240
Stock Prediction Using the HRBF modelp. 242
Experimental Resultsp. 245
Parameter Selection Scheme in HRBFNp. 245
Round-Trip-Time (RTT) Testp. 246
Long- and Short-Term Prediction, Window Size Evaluation Testp. 247
Stock Prediction Performance Testp. 250
Summaryp. 252
iJADE Surveillant - A Multi-resolution Neuro-oscillatory Agent-Based Surveillance Systemp. 255
Introductionp. 256
Surveillance System - An Overviewp. 257
Backgroundp. 257
Scene Analysisp. 257
Human Face Recognitionp. 260
Supporting Technologiesp. 261
MPEG-7 - System Overviewp. 262
MPEG-7 Modelp. 263
The Latest MPEG-7 Development Work on Visual Object Modelingp. 263
iJADE Surveillant - System Overviewp. 264
iJADE Surveillant - System Architecturep. 264
Automatic Multi-resolution Scene Segmentation Scheme Using the CNOW Modelp. 266
Automatic Human Face Detection and Contour Features Extraction Using the ACMp. 271
Invariant Human Face Recognition Using the EGDLMp. 273
System Implementationp. 274
Automatic Color Scene Segmentation Schemep. 275
Invariant Human Face Recognition Schemep. 278
Facial Pattern Occlusion and Distortion Testp. 282
Performance Analysisp. 283
Conclusionp. 285
iJADE Negotiator - An Intelligent Fuzzy Agent-Based Negotiation System for Internet Shoppingp. 287
Introductionp. 288
Negotiation Systems - An Overviewp. 289
iJADE Negotiator - System Architecturep. 292
iJADE Negotiator - System Overviewp. 292
iJADE Negotiator - Main Functional Modulesp. 293
iJADE Negotiator - Intelligent Negotiation Strategy and Negotiation Protocolp. 296
iJADE Negotiator - System Implementationp. 312
System Implementationp. 312
Experimental Resultsp. 313
Conclusionp. 317
Future Agent Technology - Modern Ontology and Ontological Agent Technologies (OAT)p. 319
What Is Ontology?p. 320
Ontology - Theories of Existencep. 321
Universals Versus Particularsp. 325
Ontology - The World of Universalsp. 326
Ontological View of the Nature of Existencep. 331
Impact of Ontology on Modern AIp. 332
Modern Ontology and Ontological Agentsp. 334
The Theoretical Foundation of OAT - Conceptualization Theoryp. 334
Characteristics of Ontological Agentsp. 336
Potential Applications of OATp. 337
Summaryp. 337
Cogito iJADE Projectp. 338
Cogito iJADE - A New Era of Self-aware IAsp. 338
Cogito iJADE - A System Overviewp. 340
Latest Works of Cogito Agentsp. 343
Agent Technology - The Futurep. 346
iJADK 2.0 APIp. 347
Referencesp. 353
Indexp. 369
About the Authorp. 375
Table of Contents provided by Ingram. All Rights Reserved.

ISBN: 9783540212034
ISBN-10: 3540212035
Series: Springer Series on Agent Technology
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 376
Published: 18th November 2005
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: DE
Dimensions (cm): 23.5 x 15.5  x 2.54
Weight (kg): 0.75