Advances in practical multi-agent systems:
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| Format: | Book |
| Language: | English |
| Published: |
Berlin [u.a.]
Springer
2010
|
| Series: | Studies in computational intelligence
325 |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | XX, 446 S. Ill., graph. Darst. 235 mm x 155 mm |
| ISBN: | 9783642160974 |
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IMAGE 1
C O N T E N T S
PART I: A G E N T - B A S E D COLLABORATION, C O O R D I N A T I O N A N
D D E C I S I O N S U P P O R T
D G F : D E C E N T R A L I Z E D G R O U P F O R M A T I O N FOR TASK A
L L O C A T I O N I N C O M P L E X A D A P T I V E S Y S T E M S 3
DAYONG YE, MINJIE ZHANG, DANNY SUTANTO 1 INTRODUCTION 3
2 DECENTRALIZED GROUP FORMATION ALGORITHM 5
2.1 PROBLEM DESCRIPTION 5
2.2 T H E PRINCIPLE OF DECENTRALIZED GROUP FORMATION (DGF) ALGORITHM 7
3 SYSTEM ADAPTATION STRATEGY 10
4 EXPERIMENT AND ANALYSIS 11
4.1 GREEDY DISTRIBUTED ALLOCATION PROTOCOL 11
4.2 EXPERIMENT SETTING 12
4.3 EXPERIMENT RESULTS 14
4.4 EXPERIMENT ANALYSIS 18
5 CONCLUSION AND FUTURE WORK 18
REFERENCES 18
CELLULAR A U T O M A T A A N D I M M U N I T Y A M P L I F I E D S T O C
H A S T I C DIFFUSION SEARCH 21
DUNCAN COULTER, ELIZABETH EHLERS 1 BACKGROUND 21
1.1 STOCHASTIC DIFFUSION SEARCH 22
1.2 CELLULAR AUTOMATA 24
1.3 CLONAL SELECTION 25
2 THE CAIA-SDS MODEL 25
2.1 MODEL DEVELOPMENT 26
HTTP://D-NB.INFO/1006507620
IMAGE 2
X
CONTENTS
2.2 MODEL IMPLEMENTATION 28
3 RESULTS 30
4 CONCLUSION 31
REFERENCES 31
R E L A T E D W O R D E X T R A C T I O N A L G O R I T H M FOR Q U E R
Y E X P A N S I O N - A N E V A L U A T I O N 33
TETSUYA OISHI, TSUNENORI MINE, RYUZO HASEGAWA, HIROSHI FUJITA, MIYUKI
KOSHIMURA 1 INTRODUCTION 33
2 RELATED WORK 34
3 EXPERIMENTAL CONDITION 35
3.1 QUERY EXPANSION SYSTEM 36
3.2 TYPES OF QUERIES 36
4 SCORE OF SIMILARITY BETWEEN RELATED WORDS AND USER'S INTENT 37
4.1 RWEA 37
4.2 RSV 39
4.3 T H E METHOD COMBINING RWEA AND RSV 40
5 EXPERIMENT 40
5.1 EXPERIMENTAL METHODS 40
5.2 RESULT 43
6 CONCLUSION 47
REFERENCES 47
VERIFICATION O F T H E EFFECT O F I N T R O D U C I N G A N A G E N T IN
A P R E D I C T I O N M A R K E T 49
TAKUYA YAMAMOTO, TAKAYUKI ITO 1 INTRODUCTION 49
2 RESEARCH BACKGROUND 51
2.1 PREDICTION MARKET 51
2.2 STRUCTURE OF A PREDICTED VALUE 51
2.3 COMPARISON OF THE PREDICTION METHOD 53
2.4 COLLECTIVE INTELLIGENCE 55
2.5 EXAMPLES OF PREDICTION MARKETS 56
2.6 RELATED WORK 57
3 CURRENT RESEARCH AND PROBLEMS 58
4 EXPERIMENT OUTLINE AND DISCUSSION 59
4.1 ZOCALO 59
4.2 EXPERIMENT 60
4.3 RESULTS AND DISCUSSION 60
5 CONCLUSION 61
REFERENCES 61
IMAGE 3
CONTENTS XI
A C O G N I T I V E M A P N E T W O R K M O D E L 63
YUAN MIAO 1 INTRODUCTION 63
2 A COGNITIVE MAP NETWORK MODEL 65
2.1 A MARKET COGNITIVE ECOSYSTEM 65
2.2 CONSUMER ACTIVE COGNITIVE AGENTS 66
2.3 MARKET RESPONSIVE COGNITIVE AGENT 67
2.4 MARKET RESPONSIVE COGNITIVE AGENT 68
3 ANALYSIS OF THE ECONOMIC SYSTEM WITH THE CM NETWORK MODEL 69
4 CONCLUSIONS 71
REFERENCES 71
C O O R D I N A T I O N STRATEGIES A N D TECHNIQUES IN D I S T R I B U T
E D INTELLIGENT S Y S T E M S - A P P L I C A T I O N S 73
ABDESLEM BOUKHTOUTA, JEAN BERGER, RANJEEV MITTU, ABDELLAH BEDROUNI 1
INTRODUCTION 74
2 DEFENCE 75
2.1 CONTROL OF SWARMS OF UNMANNED AERIAL VEHICLES (UAVS) 75
2.2 COORDINATION FOR JOINT FIRES SUPPORT (JFS) 76
2.3 SIMULATION OF C4I INTEROPERABILITY 76
2.4 COALITION INTEROPERABILITY 78
2.5 TIERED SYSTEMS 79
3 TRANSPORTATION 80
3.1 AIR TRAFFIC FLOW MANAGEMENT 80
3.2 OTHER TRANSPORTATION AND NETWORK MANAGEMENT APPLICATIONS 81
4 HEALTHCARE - MONITORING GLUCOSE LEVELS 81
5 COMMUNICATIONS NETWORKS 83
5.1 FAULT DIAGNOSIS 83
5.2 ROUTING IN TELECOMMUNICATIONS 85
6 E-BUSINESS 86
6.1 SUPPLY CHAIN MANAGEMENT 86
6.2 MANUFACTURING SYSTEMS 87
7 EMERGENCY MANAGEMENT AND DISASTER RELIEF 87
8 AMBIENT INTELLIGENCE 91
9 CONCLUSION 91
REFERENCES 92
M U L T I - A G E N T A R E A COVERAGE U S I N G A SINGLE Q U E R Y R O
A D M A P : A S W A R M INTELLIGENCE A P P R O A C H 95
ALI NASRI NAZI}, ALIREZA DAVOODI. PHILIPPE PASQUIER 1 INTRODUCTION 95
2 PRELIMINARIES AND RELATED WORKS 97
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XII
CONTENTS
2.1 ROADMAPS 97
2.2 MULTI-AGENT ENVIRONMENT COVERAGE 98
3 WEIGHTED MULTI-AGENT R R T 99
4 AGENT ARCHITECTURE 102
5 EXPLORATION OF WMA-RRT ROADMAP 106
6 IMPLEMENTATION AND EXPERIMENTAL RESULTS 107
6.1 IMPLEMENTATION 107
6.2 EXPERIMENTAL RESULTS 108
7 FUTURE WORKS AND CONCLUSION 110
REFERENCES I L L
A N A P P R O A C H FOR LEARNABLE C O N T E X T - A W A R E N E S S S Y
S T E M B Y R E F L E C T I N G U S E R FEEDBACK 113
INWOO JANG, CHONG-WOO WOO 1 INTRODUCTION 113
2 RELATED STUDIES 114
2.1 CONTEXT-AWARENESS SYSTEM 114
2.2 AGENT IN PREVIOUS CONTEXT-AWARENESS SYSTEM 115
3 SYSTEM ARCHITECTURE 115
3.1 CONTEXT MANAGEMENT AGENT (CMA) 116
3.2 SITUATION REASONING AGENT (SRA) 119
4 SIMULATED EXPERIMENTATION 124
5 CONCLUSION 126
REFERENCES 127
A H Y B R I D M U L T I - A G E N T F R A M E W O R K FOR LOAD M A N A G
E M E N T IN P O W E R GRID S Y S T E M S 129
MINJIE ZHANG, DAYONG YE, QUAN BAI, DANNY SUTANTO, KASHEM MUTTAQI 1
INTRODUCTION 129
2 RELATED WORK 130
3 FRAMEWORK ARCHITECTURE AND DETAILED DESIGN 132
3.1 CENTRALIZED ARCHITECTURE VS. DECENTRALIZED ARCHITECTURE 132
3.2 DESIGN CONSIDERATION 133
3.3 HYBRID ARCHITECTURE 134
3.4- AGENTS IN HMAF 135
4 OPERATION OF HMAF 139
5 CONCLUSION 141
REFERENCES 142
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CONTENTS
XIII
P A R T II: A G E N T - B A S E D S I M U L A T I O N FOR C O M P L E X
S Y S T E M S : A P P L I C A T I O N T O E C O N O M I C S , F I N A N
C E A N D SOCIAL S C I E N C E S
FINANCIAL FRICTIONS A N D M O N E Y - D R I V E N VARIABILITY I N V E L
O C I T Y 149
JOSE J. CAO-ALVIRA 1 INTRODUCTION 149
2 CASH-IN-ADVANCE MODEL ECONOMY 151
2.1 DISCUSSION OF THE ECONOMY 151
2.2 ANALYTICAL STEADY STATES 154
2.3 EQUILIBRIUM OF THE ECONOMY 154
2.4 STATE SPACE AND FUNCTIONAL FORMS OF THE ECONOMY 154
3 SOLUTION METHODOLOGY 156
3.1 ALGORITHM CHRONOLOGY 158
4 BUSINESS CYCLE PROPERTIES 159
4.1 CALIBRATION 159
4.2 MODEL ECONOMY STEADY STATES 160
4.3 VELOCITY A T SERIALLY CORRELATED MONEY GROWTH RATES 161
5 CONCLUSION 165
REFERENCES 165
A U T O M A T E D F U Z Z Y B I D D I N G S T R A T E G Y U S I N G A G
E N T ' S A T T I T U D E A N D M A R K E T C O M P E T I T I O N 167
MADHU GOYAL, SAROJ KAUSHIK, PREETINDER K A U R 1 INTRODUCTION 167
2 FUZZY COMPETITION AND ATTITUDE BASED BIDDING STRATEGY (FCA-BID) 168
2.1 ATTRIBUTE EVALUATION 170
2.2 ATTITUDE ESTIMATION 171
2.3 COMPETITION ASSESSMENT 172
2.4 AGENT PRICE DETERMINATION 174
3 EXPERIMENTAL EVALUATIONS 174
4 CONCLUSIONS 179
REFERENCES 179
R E S O U R C E A L L O C A T I O N A N A L Y S I S IN P E R F E C T L Y
C O M P E T I T I V E V I R T U A L M A R K E T W I T H D E M A N D C O
N S T R A I N T S O F C O N S U M E R S 181
TETSUYA MATSUDA, TOSHIYA KAIHARA, NOBUTADA FUJII 1 INTRODUCTION 181
2 VIRTUAL MARKET STRUCTURE 182
3 AGENT FORMULATIONS 183
3.1 CONSUMER AGENTS 183
3.2 PRODUCER AGENTS 185
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X I V
CONTENTS
3.3 PRICING MECHANISM 186
4 COMPUTER SIMULATION AND EXPERIMENTAL RESULTS 187
4.1 EXCHANGE MARKET ANALYSIS 188
4.2 ECONOMIC MARKET ANALYSIS 192
5 CONCLUSIONS 199
REFERENCES 199
M A R K E T PARTICIPANT E S T I M A T I O N B Y U S I N G ARTIFICIAL M A
R K E T . . . 201 FUJIO TORIUMI, KIYOSHI IZUMI, HIROKI MATSUI 1
INTRODUCTION 201
2 ARTIFICIAL MARKET 202
2.1 ARTIFICIAL MARKET FRAMEWORK 202
2.2 MARKET MECHANISM MODULE 202
2.3 FIX PROTOCOL 203
2.4 AGENTS 204
2.5 AGENT INTERFACE 204
3 MARKET-PARTICIPANT ESTIMATION USING INVERSE S I M U L A T I O N . . .
. 204 3.1 INVERSE SIMULATION 204
3.2 ARTIFICIAL MARKET PARAMETERS 205
3.3 EVALUATION FUNCTION 206
4 TRADER AGENTS 206
4.1 FUNDAMENTALIST AGENTS 207
4.2 CHARTIST AGENTS 207
4.3 AGENT PARAMETERS 207
5 SIMULATION FOR ESTIMATING MARKET PARTICIPANTS 209
5.1 SIMULATION SETTINGS 209
5.2 RESULTS OF SIMULATION 209
5.3 ANALYSIS OF MARKET PARTICIPANTS 210
6 CONCLUSION 213
REFERENCES 213
A S T U D Y O N T H E M A R K E T I M P A C T O F SHORT-SELLING R E G U
L A T I O N U S I N G ARTIFICIAL M A R K E T S 217
ISAO YAGI, TAKANOBU MIZUTA, KIYOSHI IZUMI 1 INTRODUCTION 218
2 CONSTRUCTION OF ARTIFICIAL MARKETS 219
2.1 AGENT MODELS 219
2.2 MODELING OF A N AGENT INFLUENCED BY THE TRADING RULES OF
HIGH-PERFORMANCE AGENTS 221
2.3 EQUILIBRIUM PRICE 222
3 DISCUSSION 222
3.1 PRICE VARIATION IN THE MARKETS 222
3.2 AGENT TRANSACTIONS 226
3.3 T H E MARKET MODEL IN WHICH THE MARKET PRICE AFFECTS THE THEORETICAL
PRICE 229
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CONTENTS X V
4 CONCLUSION 230
REFERENCES 231
LEARNING A P E N S I O N I N V E S T M E N T IN C O N S I D E R A T I O
N O F LIABILITY T H R O U G H B U S I N E S S G A M E 233
YASUO YAMASHITA, HIROSHI TAKAHASHI, TAKAO TERANO 1 INTRODUCTION 233
2 METHOD 235
2.1 SYSTEM OF BUSINESS GAME 235
2.2 BUSINESS GAME MODEL 235
3 RESULT 239
3.1 CASE WHERE PLAYER HAS NOT RECEIVED PROFESSIONAL TRAINING (STUDENT)
240
3.2 CASE WHERE PLAYER HAS RECEIVED PROFESSIONAL TRAINING (INSTITUTIONAL
INVESTOR AFFILIATION MEMBER) 244
3.3 CONSIDERATION 248
4 CONCLUSION 248
REFERENCES 249
A N A G E N T - B A S E D I M P L E M E N T A T I O N O F T H E T O D A
R O M O D E L 251
NADJIA EL SAADI, ALASSANE BAH, YACINE BELARBI 1 INTRODUCTION 251
2 THE TODARO MODEL 253
3 THE MIGRATION AGENT-BASED MODEL 255
3.1 THE SIMULATOR MODEL 255
3.2 INTERNAL STRUCTURE 256
3.3 INTERFACE 257
4 T H E SIMULATIONS 259
4.1 T H E SCENARIOS TESTED 259
4.2 SIMULATIONS RESULTS 260
4.3 DISCUSSION 262
5 CONCLUSION 264
REFERENCES 265
N E W T Y P E S O F M E T R I C S FOR U R B A N R O A D N E T W O R K S
E X P L O R E D W I T H S3: -AN A G E N T - B A S E D S I M U L A T I O
N P L A T F O R M 267
CYRILLE GENRE-GRANDPIERRE, ARNAUD BANOS 1 W H Y TRYING TO CHANGE THE
CURRENT ROAD NETWORKS "METRIC"? 267
1.1 THE FARTHER YOU GO THE MORE EFFICIENT IS THE ROAD NETWORK 267
1.2 THE INDIRECT EFFECTS OF THE CURRENT METRIC 268
1.3 TRAFFIC LIGHTS FOR A "SLOW METRIC" 269
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XVI CONTENTS
2 SMART SLOW SPEED (S3): AN AGENT-BASED SIMULATION PLATFORM 270
2.1 TRAFFIC LIGHTS: CHOOSING LOCATION AND TIME DURATION 270
2.2 A MICROSCOPIC TRAFFIC MODEL 273
3 FIRST RESULTS 275
3.1 T H E METRIC OF THE ROAD NETWORK DEPENDS ON 275
3.2 EXPLORATION OF THE TRAFFIC MODEL 279
4 CONCLUSION 283
REFERENCES 284
I M P A C T O F TENACITY U P O N T H E B E H A V I O R S O F SOCIAL A C
T O R S 287
JOSEPH EL-GEMAYEL, CHRISTOPHE SIBERTIN-BLANC, PAUL CHAPRON 1
INTRODUCTION 287
2 THE SOCIOLOGY OF ORGANIZED ACTION 288
3 THE META-MODEL OF ORGANIZATIONS 289
4 ILLUSTRATIONS 291
4.1 T H E PRISONNER DILEMMA 291
4.2 T H E BOLET CASE 292
5 SIMULATION 294
5.1 A BOUNDED RATIONALITY ALGORITHM FOR ACTORS' COOPERATION 294
5.2 T H E MAIN PARAMETERS OF THE ALGORITHM 296
6 SENSITIVITY ANALYSIS 298
6.1 PRISONER'S DILEMMA 299
6.2 T H E BOLET CASE 300
7 INTERPRETATION 302
8 CONCLUSION 304
REFERENCES 305
P A R T III: A G E N T T E C H N O L O G Y FOR E N V I R O N M E N T A L
M O N I T O R I N G A N D D I S A S T E R M A N A G E M E N T
D Y N A M I C R O L E A S S I G N M E N T FOR LARGE-SCALE M U L T I - A
G E N T R O B O T I C S Y S T E M S 311
VAN TUAN LE, SERGE STINCKWICH, BOURAQADI NOURY, ARNAUD DONIEC 1
INTRODUCTION 311
2 ORGANIZATIONAL APPROACH FOR MULTI-ROBOT SYSTEMS OVERVIEW 313
2.1 T H E A G R MODEL 313
2.2 ADAPTING A G R 314
3 DYNAMIC ROLE ASSIGNMENT 315
3.1 CONCEPTS 315
3.2 ROLE ASSIGNMENT PROTOCOL 316
3.3 EXAMPLE OF ROLE ASSIGNMENT 318
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CONTENTS XVII
4 VALIDATION 319
4.1 VALIDATION SCENARIOS DESIGN AND SETUP 319
4.2 PUSH VS. PULL AND OPTIMIZATIONS 321
4.3 IMPACTS OF ROBOTS' DENSITY 321
5 DISCUSSION AND OPEN ISSUES 322
5.1 TOWARD A GENERIC SOLUTION 322
5.2 SYSTEM RE-ORGANIZATION 323
6 RELATED WORK 324
7 CONCLUSION 325
REFERENCES 325
M U L T I - A G E N T S Y S T E M FOR B L A C K O U T P R E V E N T I O
N B Y M E A N S O F C O M P U T E R SIMULATIONS 327
MIROSLAV PRYMEK. ALES HORDK, ADAM RAMBOUSEK 1 INTRODUCTION 327
2 THE RICE POWER DISTRIBUTION NETWORK SIMULATOR 328
2.1 EVENT-DRIVEN AGENTS 329
3 MODEL SITUATION IMPLEMENTATION 330
3.1 THE NETWORK TOPOLOGY 331
3.2 THE SOURCE NODE 331
3.3 THE POWER LINE 333
3.4 THE CONSUMER NODE 334
4 CONCLUSIONS 336
REFERENCES 336
A S K I N G FOR H E L P T H R O U G H A D A P T A B L E A U T O N O M Y
I N R O B O T I C SEARCH A N D R E S C U E 339
BREELYN KANE, PRASANNA VELAGAPUDI, PAUL SCERRI 1 INTRODUCTION 339
2 PROBLEM 341
3 CONCEPT 343
4 ALGORITHM 345
4.1 SELF-MONITORING 345
4.2 DECISION MODEL 347
5 RESULTS 349
5.1 USARSIM 349
5.2 SIMPLESIM 352
6 RELATED WORK 355
7 CONCLUSION AND FUTURE WORK 355
REFERENCES 356
C O N C E P T U A L FRAMEWORK FOR D E S I G N O F SERVICE N E G O T I A
T I O N IN D I S A S T E R M A N A G E M E N T A P P L I C A T I O N S
359
COSTIN BADICA, MIHNEA SCAFE§ 1 INTRODUCTION 359
2 SERVICE NEGOTIATION 362
IMAGE 10
X V I I I
CONTENTS
3 CONCEPTUAL FRAMEWORK 363
3.1 NEGOTIATION STEPS 364
3.2 NEGOTIATION SUBJECT 364
3.3 AGENT PREFERENCES 366
3.4 LEVELS IN NEGOTIATION SPECIFICATION 369
3.5 EXAMPLE 370
4 RELATED WORK 372
5 CONCLUSIONS AND FUTURE WORK 373
REFERENCES 374
A N O P T I M I Z E D S O L U T I O N FOR M U L T I - A G E N T C O O R
D I N A T I O N U S I N G I N T E G R A T E D G A - F U Z Z Y A P P R O
A C H IN R E S C U E S I M U L A T I O N E N V I R O N M E N T 377
MOHAMMAD GOODARZI, ASHKAN RADMAND, ESLAM NAZEMI 1 INTRODUCTION 377
2 ENVIRONMENT CATEGORIZING 378
2.1 D A T A CATEGORIZING 378
2.2 PARAMETERS DEFINITION 380
3 EXTRACTING SOLUTIONS TO DEFINED SITUATIONS 380
3.1 CHROMOSOME STRUCTURE 381
3.2 FITNESS FUNCTION 382
3.3 CROSSOVER AND MUTATION 382
3.4 SELECTION ALGORITHM 382
4 GENERALIZING USING FUZZY LOGIC 383
4.1 FUZZY SETS AND MEMBERSHIP FUNCTIONS 383
/ 4.2 FUZZY IF-THEN RULES 385
4.3 DEFUZZIFICATION 385
5 EXPERIMENTAL RESULTS 385
6 CONCLUSION 387
7 FUTURE WORKS 387
REFERENCES 387
A S T U D Y O F M A P D A T A INFLUENCE O N D I S A S T E R A N D R E S
C U E SIMULATION'S R E S U L T S 389
KEI SATO, TOMOICHI TAKAHASHI 1 INTRODUCTION 389
2 AGENT BASED DISASTER AND RESCUE SIMULATION FOR PRACTICAL USAGE 390
2.1 ROLE OF DISASTER AND RESCUE SIMULATION 390
2.2 ROBOCUP RESCUE SIMULATION SYSTEM 391
3 MAP GENERATION FROM PUBLIC GIS D A T A 392
3.1 OPEN SOURCE MAPS 392
3.2 CREATION SIMULATION MAP FROM OPEN SOURCE GIS D A T A 393
4 SIMULATION SENSITIVITY OF ENVIRONMENTS T O SIMULATIONS 395
IMAGE 11
CONTENTS X I X
4.1 CREATED MAPS FROM OPEN SOURCE D A T A 395
4.2 SENSITIVITY ANALYSIS OF MAPS T O SIMULATIONS 397
4.3 SENSITIVITY ANALYSIS OF RESCUE AGENTS TO SIMULATION RESULTS 398
5 DISCUSSION AND SUMMARY 401
REFERENCES 402
EVALUATION O F T I M E D E L A Y O F C O P I N G B E H A V I O R S W I T
H EVACUATION SIMULATOR 403
TOMOHISA YAMASHITA, SHUNSUKE SOEDA, ITSUKI NODA 1 INTRODUCTION 403
2 EVACUATION PLANNING ASSIST SYSTEM 404
2.1 PEDESTRIAN SIMULATOR 405
2.2 PREDICTION SYSTEM OF INDOOR GAS DIFFUSION 408
2.3 PREDICTION SYSTEM OF OUTDOOR GAS DIFFUSION 409
3 SIMULATION 409
3.1 SIMULATION SETTINGS 409
3.2 SIMULATION RESULT 412
4 CONCLUSION 413
REFERENCES 414
W E B - B A S E D SENSOR N E T W O R K W I T H F L E X I B L E M A N A G
E M E N T B Y A N A G E N T S Y S T E M 415
TOKIHIRO FUKATSU, MASAYUKI HIRAFUJI, TAKUJI KIURA 1 INTRODUCTION 415
2 ARCHITECTURE AND FUNCTION OF THE AGENT SYSTEM 416
2.1 BASIC FUNCTION 418
2.2 RULE-BASED FUNCTION 419
2.3 DISTRIBUTED D A T A PROCESSING 420
3 MULTI-AGENT SYSTEM 421
4 DISCUSSION AND FUTURE WORK 422
REFERENCES 423
SENSOR N E T W O R K A R C H I T E C T U R E B A S E D O N W E B A N D A
G E N T FOR LONG-TERM S U S T A I N A B L E O B S E R V A T I O N IN O P
E N F I E L D S 425
MASAYUKI HIRAFUJI, TOKIHIRO FUKATSU, TAKUJI KIURA, HAOMING HU, HIDEO
YOICHI, KEI TANAKA, YUGO MIKI, SEISHI NINOMIYA 1 INTRODUCTION 425
2 ARCHITECTURE 426
3 WEB DEVICES FOR P U R E WEB 426
4 EXPERIMENTS USING FIELD SERVER 428
5 RESULTS AND DISCUSSIONS 430
6 CONCLUSIONS 432
REFERENCES 433
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XX
CONTENTS
A M U L T I - A G E N T V I E W O F T H E S E N S O R W E B 435
QUAN BAI, SIDDESWARA MAYURA GURU, DANIEL SMITH, QING LIU, ANDREW
TERHORST 1 INTRODUCTION 435
2 T H E SENSOR WEB 437
3 SENSOR WEBS AND MULTI-AGENT SYSTEMS 439
4 USING MULTI-AGENT COORDINATION TECHNIQUES IN SENSOR WEB 440
4.1 INCLUDING MULTI-AGENT FACILITATORS IN SENSOR WEB . . . . 440 4.2
BUILDING TRUST BASED ON REPUTATIONS 441
5 CONCLUSION AND FUTURE WORK 442
REFERENCES 443
A U T H O R I N D E X 445 |
| any_adam_object | 1 |
| author2 | Bai, Quan |
| author2_role | edt |
| author2_variant | q b qb |
| author_facet | Bai, Quan |
| building | Verbundindex |
| bvnumber | BV036800819 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)731523698 (DE-599)DNB1006507620 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Technik allgemein |
| format | Book |
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| id | DE-604.BV036800819 |
| illustrated | Illustrated |
| indexdate | 2024-07-20T10:52:46Z |
| institution | BVB |
| isbn | 9783642160974 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020717015 |
| oclc_num | 731523698 |
| open_access_boolean | |
| owner | DE-11 DE-473 DE-BY-UBG |
| owner_facet | DE-11 DE-473 DE-BY-UBG |
| physical | XX, 446 S. Ill., graph. Darst. 235 mm x 155 mm |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Advances in practical multi-agent systems Quan Bai ... (eds.) Berlin [u.a.] Springer 2010 XX, 446 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 325 Mehragentensystem (DE-588)4389058-1 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2009 Nagoya gnd-content Mehragentensystem (DE-588)4389058-1 s DE-604 Bai, Quan edt Studies in computational intelligence 325 (DE-604)BV020822171 325 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3532004&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020717015&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Advances in practical multi-agent systems Studies in computational intelligence Mehragentensystem (DE-588)4389058-1 gnd |
| subject_GND | (DE-588)4389058-1 (DE-588)1071861417 |
| title | Advances in practical multi-agent systems |
| title_auth | Advances in practical multi-agent systems |
| title_exact_search | Advances in practical multi-agent systems |
| title_full | Advances in practical multi-agent systems Quan Bai ... (eds.) |
| title_fullStr | Advances in practical multi-agent systems Quan Bai ... (eds.) |
| title_full_unstemmed | Advances in practical multi-agent systems Quan Bai ... (eds.) |
| title_short | Advances in practical multi-agent systems |
| title_sort | advances in practical multi agent systems |
| topic | Mehragentensystem (DE-588)4389058-1 gnd |
| topic_facet | Mehragentensystem Konferenzschrift 2009 Nagoya |
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