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Advances in Practical Multi-Agent Systems

✍ Scribed by Bai, Quan; Fukuta, Naoki


Publisher
Springer Berlin Heidelberg
Year
2011
Tongue
German
Leaves
451
Series
Studies in computational intelligence 325
Category
Library

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✦ Synopsis


This volume deals with different computational intelligence (CI) techniques for solving real world power industry problems. It will be extremely helpful for the researchers as well as the practicing engineers in the power industry.

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✦ Table of Contents


Cover......Page 1
The Sensor Web......Page 3
Sensor Webs and Multi-Agent Systems......Page 5
Conclusion and Future Work......Page 8
References......Page 9
Simulation Result......Page 10
References......Page 12
References......Page 16
Front Matter......Page 2
Experiments Using Field Server......Page 4
Including Multi-Agent Facilitators in Sensor Web......Page 6
Conclusion......Page 11
Building Trust Based on Reputations......Page 7
Conclusions and Future Work......Page 15
Discussion and Summary......Page 13
References......Page 14
References......Page 19
References......Page 20
Conclusion and Future Work......Page 17
References......Page 18
Part I Agent-Based Collaboration, Coordination and Decision Support......Page 21
Introduction......Page 23
Problem Description......Page 25
The Principle of Decentralized Group Formation (DGF) Algorithm......Page 27
System Adaptation Strategy......Page 30
Greedy Distributed Allocation Protocol......Page 31
Experiment Setting......Page 32
Experiment Results......Page 34
Experiment Analysis......Page 38
Background......Page 40
Stochastic Diffusion Search......Page 41
Cellular Automata......Page 43
Clonal Selection......Page 44
Model Development......Page 45
Model Implementation......Page 47
Results......Page 49
References......Page 50
Introduction......Page 52
Related Work......Page 53
Query Expansion System......Page 55
RWEA......Page 56
RSV......Page 58
Experimental Methods......Page 59
Result......Page 62
References......Page 66
Introduction......Page 68
Prediction Market......Page 70
Comparison of the Prediction Method......Page 72
Collective Intelligence......Page 74
Examples of Prediction Markets......Page 75
Related Work......Page 76
Current Research and Problems......Page 77
Zocalo......Page 78
Results and Discussion......Page 79
References......Page 80
Introduction......Page 82
A Market Cognitive Ecosystem......Page 84
Consumer Active Cognitive Agents......Page 85
Market Responsive Cognitive Agent......Page 86
Market Responsive Cognitive Agent......Page 87
Analysis of the Economic System with the CM Network Model......Page 88
References......Page 90
Coordination Strategies and Techniques in Distributed Intelligent Systems – Applications......Page 92
Introduction......Page 93
Control of Swarms of Unmanned Aerial Vehicles (UAVs)......Page 94
Coordination for Joint Fires Support (JFS)......Page 95
Coalition Interoperability......Page 97
Tiered Systems......Page 98
Air Traffic Flow Management......Page 99
Other Transportation and Network Management Applications......Page 100
Fault Diagnosis......Page 102
Routing in Telecommunications......Page 104
Supply Chain Management......Page 105
Manufacturing Systems......Page 106
Conclusion......Page 110
References......Page 111
Introduction......Page 113
Roadmaps......Page 115
Multi-Agent Environment Coverage......Page 116
Weighted Multi-Agent RRT......Page 117
AgentArchitecture......Page 120
Exploration of WMA-RRT Roadmap......Page 124
Implementation......Page 125
Experimental Results......Page 126
Future Works and Conclusion......Page 128
References......Page 129
Introduction......Page 131
Context-Awareness System......Page 132
Agent in Previous Context-Awareness System......Page 133
Context Management Agent (CMA)......Page 134
Situation Reasoning Agent (SRA)......Page 137
Simulated Experimentation......Page 142
Conclusion......Page 144
References......Page 145
Introduction......Page 146
Related Work......Page 147
Centralized Architecture vs. Decentralized Architecture......Page 149
Design Consideration......Page 150
Hybrid Architecture......Page 151
Agents in HMAF......Page 152
Operation of HMAF......Page 156
Conclusion......Page 158
References......Page 159
Part II Agent-Based Simulation for Complex Systems: Application to Economics, Finance and Social Sciences......Page 161
Introduction......Page 164
Discussion of the Economy......Page 166
State Space and Functional Forms of the Economy......Page 169
Solution Methodology......Page 171
Algorithm Chronology......Page 173
Calibration......Page 174
Model Economy Steady States......Page 175
Velocity at Serially Correlated Money Growth Rates......Page 176
References......Page 180
Introduction......Page 182
Fuzzy Competition and Attitude Based Bidding Strategy (FCA-Bid)......Page 183
Attribute Evaluation......Page 185
Attitude Estimation......Page 186
Competition Assessment......Page 187
Agent Price Determination......Page 189
Conclusions......Page 194
Introduction......Page 196
Virtual Market Structure......Page 197
Consumer Agents......Page 198
Producer Agents......Page 200
Pricing Mechanism......Page 201
Computer Simulation and Experimental Results......Page 202
Exchange Market Analysis......Page 203
Economic Market Analysis......Page 207
Conclusions......Page 214
Introduction......Page 216
Artificial Market Framework......Page 217
FIX Protocol......Page 218
Agents......Page 219
Artificial Market Parameters......Page 220
Evaluation Function......Page 221
Fundamentalist Agents......Page 222
Results of Simulation......Page 224
Analysis of Market Participants......Page 225
Conclusion......Page 228
A Study on the Market Impact of Short-Selling Regulation Using Artificial Markets......Page 231
Introduction......Page 232
Agent Models......Page 233
Modeling of an Agent Influenced by the Trading Rules of High-Performance Agents......Page 235
Price Variation in the Markets......Page 236
Agent Transactions......Page 240
The Market Model in Which the Market Price Affects the Theoretical Price......Page 243
Conclusion......Page 244
References......Page 245
Introduction......Page 246
System of Business Game......Page 248
Result......Page 252
Case Where Player Has Not Received Professional Training (Student)......Page 253
Case Where Player Has Received Professional Training (Institutional Investor Affiliation Member)......Page 257
Consideration......Page 261
References......Page 262
Introduction......Page 263
The Todaro Model......Page 265
The Simulator Model......Page 267
Internal Structure......Page 268
Interface......Page 269
The Scenarios Tested......Page 271
Simulations Results......Page 272
Discussion......Page 274
Conclusion......Page 276
References......Page 277
The Farther You Go the More Efficient Is the Road Network......Page 278
The Indirect Effects of the Current Metric......Page 279
Traffic Lights for a “Slow Metric”......Page 280
Traffic Lights: Choosing Location and Time Duration......Page 281
A Microscopic Traffic Model......Page 284
The Metric of the Road Network Depends on .........Page 286
Exploration of the Traffic Model......Page 290
Conclusion......Page 294
References......Page 295
Introduction......Page 297
The Sociology of Organized Action......Page 298
The Meta-model of Organizations......Page 299
The Prisonner Dilemma......Page 301
The Bolet Case......Page 302
A Bounded Rationality Algorithm for Actors’ Cooperation......Page 304
The Main Parameters of the Algorithm......Page 306
Sensitivity Analysis......Page 308
Prisoner’s Dilemma......Page 309
The Bolet Case......Page 310
Interpretation......Page 312
Conclusion......Page 314
References......Page 315
Part III Agent Technology for Environmental Monitoring and Disaster Management......Page 317
Introduction......Page 320
The AGR Model......Page 322
Adapting AGR......Page 323
Concepts......Page 324
Role Assignment Protocol......Page 325
Example of Role Assignment......Page 327
Validation Scenarios Design and Setup......Page 328
Impacts of Robots’ Density......Page 330
Toward a Generic Solution......Page 331
System Re-organization......Page 332
Related Work......Page 333
References......Page 334
Introduction......Page 336
The Rice Power Distribution Network Simulator......Page 337
Event-Driven Agents......Page 338
Model Situation Implementation......Page 339
The Source Node......Page 340
The Power Line......Page 342
The Consumer Node......Page 343
Conclusions......Page 345
Introduction......Page 347
Problem......Page 349
Concept......Page 351
Self-monitoring......Page 353
Decision Model......Page 355
USARSim......Page 357
SimpleSim......Page 360
Related Work......Page 363
References......Page 364
Introduction......Page 366
Service Negotiation......Page 369
Conceptual Framework......Page 370
Negotiation Subject......Page 371
Agent Preferences......Page 373
Levels in Negotiation Specification......Page 376
Example......Page 377
Related Work......Page 379
Conclusions and Future Work......Page 380
References......Page 381
Introduction......Page 383
Data Categorizing......Page 384
Parameters Definition......Page 386
Chromosome Structure......Page 387
Crossover and Mutation......Page 388
Fuzzy Sets and Membership Functions......Page 389
Fuzzy If-Then Rules......Page 391
Future Works......Page 393
Introduction......Page 395
Role of Disaster and Rescue Simulation......Page 396
RoboCup Rescue Simulation System......Page 397
Open Source Maps......Page 398
Creation Simulation Map from Open Source GIS Data......Page 399
Created Maps from Open Source Data......Page 401
Sensitivity Analysis of Maps to Simulations......Page 403
Sensitivity Analysis of Rescue Agents to Simulation Results......Page 404
Discussion and Summary......Page 407
References......Page 408
Introduction......Page 409
Evacuation Planning Assist System......Page 410
Pedestrian Simulator......Page 411
Prediction System of Indoor Gas Diffusion......Page 414
Simulation Settings......Page 415
Simulation Result......Page 418
Conclusion......Page 419
References......Page 420
Introduction......Page 421
Architecture and Function of the Agent System......Page 422
Basic Function......Page 424
Rule-Based Function......Page 425
Distributed Data Processing......Page 426
Multi-Agent System......Page 427
Discussion and Future Work......Page 428
References......Page 429
Introduction......Page 431
Web Devices for PureWeb......Page 432
Experiments Using Field Server......Page 434
Results and Discussions......Page 436
Conclusions......Page 438
References......Page 439
Introduction......Page 440
The Sensor Web......Page 442
Sensor Webs and Multi-Agent Systems......Page 444
Including Multi-Agent Facilitators in Sensor Web......Page 445
Building Trust Based on Reputations......Page 446
Conclusion and Future Work......Page 447
References......Page 448
Back Matter......Page 450


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