Holonic and Multi-Agent Systems for Manufacturing: Third International Conference on Industrial Applications of Holonic and Multi-Agent Systems,

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This book constitutes the refereed proceedings of the Third International Conference on Industrial Applications of Holonic and Multi-Agent Systems, HoloMAS 2007, held in Regensburg, Germany, September 3 - 5, 2007.

The 39 revised full papers presented were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections on theoretical and methodological issues, algorithms and technologies, implementation and validation aspects, applications, and supply chain management.

Author(s): Vladimir Marik
Series: Lecture Notes in Artificial Intelligence 4659
Edition: 1
Publisher: Springer
Year: 2007

Language: English
Pages: 469

Front matter......Page 1
Introduction......Page 14
Execution of IEC 61499 Applications......Page 16
Engineering Distributed Control Applications with IEC 61499......Page 18
Verification of IEC 61499 Applications......Page 19
Reconfiguration of Control Applications......Page 21
Current Industrial Adoption of IEC 61499......Page 22
Open Issues Hindering the Adoption of IEC 61499......Page 23
Conclusion: Future of IEC 61499......Page 24
References......Page 25
Can Multi-Agents Wake Us from IC Design Productivity Nightmare?......Page 28
Introduction......Page 30
Intelligent Beings......Page 31
Historical Precursors of I-Beings: Maps......Page 32
From Maps to Intelligent Beings......Page 33
Mature Intelligent Beings......Page 34
From User Requirements to I-Being Requirements......Page 36
Intelligent Agents, Electronic Institutions and Intelligent Beings......Page 37
Conclusion......Page 38
References......Page 39
Introduction......Page 40
Multi-agent Reflection......Page 41
RC Architecture......Page 42
Autonomic Systems and Reflective Agents......Page 44
Collective Reflection......Page 45
Adaptation to Changing Environment and Resources......Page 46
Conclusions......Page 48
Introduction......Page 50
Model......Page 52
Generalizing the Vickrey Auction......Page 54
Properties......Page 55
Related Work......Page 57
Discussion......Page 58
Introduction......Page 60
Service-Oriented Architectures......Page 61
Holonic Multiagent Systems......Page 62
Choreography and Orchestration in Holonic Multiagent Systems......Page 64
Model-Driven Development of Holonic Multiagent Systems......Page 65
The Platform Independent Model for SOA......Page 66
A Metamodel for Agents (PIM4Agents)......Page 68
Model Transformations......Page 69
Conclusion......Page 70
Introduction......Page 72
Proposition of a Holomas Using Roles......Page 73
Dynamic in Holonic Multi-agent Organisation......Page 76
Growth in Holonic Multi-agent Organisation......Page 77
Holonic Multiagent Platform......Page 78
Case Study......Page 79
Conclusion......Page 81
Introduction......Page 84
Architecture Components......Page 85
Interactions Among System Components......Page 87
Implementation of the IO-WfM System......Page 88
IO-WfM System in Operation......Page 90
Conclusions......Page 92
Introduction......Page 94
Previous Research on Dynamic VRPTW Problems and Crisis Situations......Page 95
Algorithms for Solving Dynamic VRPTW Problems......Page 96
Prediction Techniques for Preventing and Avoiding Crisis Situations......Page 97
System for Solving Dynamic VRPTW Problems with Crisis Situations......Page 98
Dynamic Problems Simulation......Page 99
Simulation of Crisis Situations......Page 100
Experimental Results......Page 101
Concluding Remarks......Page 104
Introduction......Page 106
Objective and Threat Model......Page 107
Architecture Components......Page 108
Module I: Untraceability Protocol......Page 109
Protocol Implementation: Untraceability Protocol Infrastructure......Page 110
Module II: Additional Untraceability Support......Page 112
Summary......Page 113
Introduction......Page 117
Contextual Services Developers Perspective......Page 118
Architecture and Key Abstractions......Page 119
Information Flow......Page 120
Experiment Management......Page 121
Perceptual Components......Page 122
Situation Modeling......Page 123
Experiences and Uses......Page 124
Conclusions......Page 125
Introduction......Page 127
Reconfiguration Challenge......Page 128
Our Simple Environment Knowledge Model......Page 130
Reconfiguration Agent Implementation......Page 133
Requirements Analyser......Page 134
Floor Analyser......Page 135
The Decision Engine......Page 136
Future Research......Page 137
References......Page 138
Introduction......Page 140
Proposed Dynamic Model for Agent Clustering......Page 141
Calculating Velocities and Positions......Page 142
Static Agent Clustering from Messages......Page 143
Visualization of Dynamic Clustering......Page 144
Description of Material Handling Application......Page 145
Results of Dynamic Analysis......Page 146
Results of Static Analysis......Page 147
Conclusions and Future Work......Page 148
References......Page 149
Introduction......Page 150
Justification of the Work......Page 151
Related Work......Page 152
Java Processor Unit (JUP)......Page 153
Ontology Modeling of Assembly Process......Page 154
Foundation for Intelligent Physical Agents......Page 155
Light Extensible Agent Platform......Page 156
Registering on the Distributed Director Facilitator......Page 157
Registration......Page 158
Searching Service......Page 159
References......Page 160
The Threat......Page 162
Brief Overview of Intrusion Detection Systems......Page 164
Adaptation Methods......Page 166
Trust and Reputation Modeling......Page 167
Reference Architecture......Page 168
Conclusions and Future Directions......Page 170
Introduction......Page 174
Model......Page 175
Architecture of Self-protected Agents......Page 177
Architecture of CIME......Page 178
Protocol Between Protected Agent and CIME......Page 179
Protocol Among CIME......Page 182
Related Work......Page 183
Conclusion......Page 184
Introduction......Page 186
System Architecture......Page 187
Tests and Benchmarks......Page 193
Similar Work, Conclusions......Page 196
References......Page 197
Introduction......Page 198
Topologies of the Agents......Page 199
Distributed Resource Evolutionary Algorithm Machine (DREAM)......Page 203
ATEAM Application for JSS Problems......Page 204
VNS Agents with Ring Topology......Page 205
Conclusions......Page 206
References......Page 207
Introduction......Page 208
Scheduling Problem Definition......Page 209
Environment Specification......Page 210
Federated Agent Architecture......Page 211
Agent Description......Page 212
Agent Interaction and Task Scheduling......Page 214
Experiments and Result......Page 215
References......Page 217
Introduction......Page 218
Simulation Based Real-Time Scheduling Method......Page 219
Estimation Process by Simulation......Page 221
Case Study......Page 223
References......Page 227
Introduction......Page 228
Open Demand-Resource Networks......Page 229
The Adaptive Planning Toolset......Page 230
Airport Logistics: Adaptive In-Flight Catering......Page 232
Adaptive Laundry......Page 233
Adaptive Factory......Page 234
Adaptive Pharmaceutics......Page 235
References......Page 236
Introduction......Page 238
Problem Statement......Page 239
Probabilistic Reasoning......Page 240
Agent Based Modelling of Stochastic Parameters......Page 242
Modelling the Expert Knowledge......Page 243
Interaction Between Agents......Page 245
The Vehicle Agent......Page 246
Evaluation......Page 247
Conclusion......Page 248
Introduction......Page 250
Theoretical Background......Page 251
Problem Domain......Page 252
Agency Domain......Page 255
Implementing Solution Domain with Janus......Page 257
Conclusion......Page 258
Introduction......Page 260
Holonic Control Architecture......Page 261
Quantifying the Adaptability of a Design......Page 263
Applying Adaptable Design to the Holonic Architecture......Page 265
Applying the AD Approach to Fault Monitoring......Page 266
References......Page 268
Introduction......Page 270
Problem Under Consideration......Page 271
Proposed Solutions......Page 273
Ontology-Based Subsystem Topology Semantics......Page 274
Concluding Remarks - Application for the Biotechnological Pilot-Plant......Page 278
References......Page 280
Introduction......Page 282
Problem and Related Literature......Page 283
Incorporation of Adaptive Capabilities......Page 284
Parameterization Agents......Page 286
Design and Implementation of Adaptive Staff Agents......Page 287
Example from the Semiconductor Manufacturing Domain......Page 289
Conclusions and Future Research......Page 291
References......Page 292
Introduction......Page 294
Clusters of Collaborating Agents......Page 295
Public Registry Model (PRM)......Page 297
Application of Agent Technology to Public Registry Model......Page 300
Conclusions......Page 304
References......Page 305
Introduction......Page 306
NovaFlex Shop Floor Environment......Page 307
System Overview......Page 308
Ontology......Page 309
Skills......Page 310
Agent-Machine Interface......Page 312
Pallet Agent......Page 313
Conclusions......Page 314
References......Page 315
Introduction......Page 316
Adaptive Problem Solving......Page 317
Components of the Toolkit......Page 319
How Adaptive Multi-agent Applications Work......Page 320
Collaborative Design of an Airplane Wing......Page 322
Ocean and Truck Schedulers......Page 323
Discussion of Results......Page 325
References......Page 326
Introduction......Page 327
The Conveyor as an Automation Object......Page 329
Conveyor Section Model......Page 330
Visualisation......Page 335
Future Work......Page 336
Conclusion......Page 337
References......Page 338
Introduction......Page 339
Basic vs. Dynamic Reconfiguration......Page 340
State-of-the-Art Reconfiguration Approaches......Page 341
Execution Control by Events......Page 342
Engineering Method for Reconfiguration of IPMCS......Page 343
Modeling Cycle for Control and Reconfiguration Control Applications......Page 344
Reconfiguration Control Terminology and Definitions......Page 345
Reconfiguration Engineering Method......Page 346
First Tests and Concept Validation......Page 348
References......Page 349
Introduction......Page 351
Hardware Architecture......Page 352
Communication Framework......Page 355
Real Time Engine......Page 356
Interface Agent – PLC Connection......Page 358
References......Page 359
Introduction......Page 361
Multi-agent Approach to Collision Avoidance......Page 362
Collision Avoidance in 2-D Space with Fixed Trajectories......Page 363
Collision Avoidance in Open 2-D Space......Page 365
Collision Avoidance in 3-D Space......Page 367
Experiments......Page 369
Conclusion......Page 371
References......Page 372
Introduction and Problem Definition......Page 374
Semantic Analysis......Page 375
Clustering of Documents......Page 376
Multi-agent Technology......Page 377
Multi-agent Text Understanding......Page 378
Multi-agent Clustering Method......Page 379
Testing......Page 381
Conclusion......Page 382
References......Page 383
Introduction......Page 384
System Overview......Page 385
Dynamic Scenarios......Page 386
Simulated Hardware Layer......Page 387
Monitoring Layer......Page 388
Data Flow Layer......Page 389
Prediction Layer......Page 390
Use Case......Page 392
Conclusion......Page 395
Performance in Industrial Holonic Systems......Page 396
Introduction......Page 400
Strategic Management Versus Engineering Approach......Page 402
The Notion of Performance......Page 403
Performance Management......Page 405
Towards the Ontology of Performance......Page 407
Measuring Performance......Page 408
Towards Performance Measurement and Management Methodology......Page 410
Concluding Remarks......Page 411
References......Page 412
Introduction......Page 414
Competence Profile Management......Page 415
Enterprise Competence Profiles......Page 416
Individual Competence Profiles......Page 419
Conclusions......Page 421
References......Page 422
Introduction......Page 424
Process Monitoring......Page 425
Information Agents in Monitoring......Page 426
System Overview......Page 427
Creation of Symbolic Data......Page 428
Monitoring of Maintenance Events......Page 429
Monitoring of Process Fluctuations......Page 430
Monitoring of Measurement Consistency......Page 431
References......Page 432
Introduction......Page 434
Virtual Reality in the Design and Simulation of HMSs......Page 436
Proposed System Framework......Page 437
Design Environment......Page 438
Operations Environment......Page 439
Implementation and the Prototype System: VCIM-HOLONIC......Page 441
References......Page 444
Conclusions......Page 443
Multi-agent and Complex Systems: Application to Disaster Management......Page 446
PLAN C......Page 448
Simulation Results......Page 449
Point-Source Attack......Page 450
Distributed Scenario......Page 454
Conclusions and Future Investigations......Page 455
References......Page 456
Introduction......Page 460
The Model......Page 461
Simulation......Page 462
Planning......Page 463
Execution......Page 464
References......Page 466
Back matter......Page 468