Advances in intelligent modelling and simulation: simulation tools and applications
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2012
|
| Schriftenreihe: | Studies in computational intelligence
416 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XIX, 364 S. Ill., graph. Darst. |
| ISBN: | 9783642288876 3642288871 |
Internformat
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IMAGE 1
CONTENTS
REQUIREMENTS AND SOLUTIONS FOR A M O R E KNOWLEDGEABLE USER-MODEL
DIALOGUE IN APPLIED SIMULATION 1
GABY NEUMANN AND JURI TOLUJEW 1 INTRODUCTION AND MOTIVATION 1
2 KNOWLEDGE AND KNOWLEDGE M A N A G E M E N T IN SIMULATION PROJECTS 3
3 CASE STUDY ON THE H U M A N IMPACT IN SIMULATION PROJECTS 6
4 NEEDS AND CHALLENGES IN MODEL-USER INTERACTION 9
4.1 MODEL-USER INTERACTION FOR MODEL-BUILDING 9
4.2 MODEL-USER INTERACTION FOR DERIVING SIMULATION RESULTS 11
4.3 NEEDS F O R SUPPORTING MODEL-USER INTERACTION 13
5 APPROACHES FOR MEDIATING BETWEEN USER AND MODEL IN A
SIMULATION PROJECT 13
5.1 METHODS AND TOOLS FOR ACCESSING SIMULATION
KNOWLEDGE 14
5.2 STRUCTURED DOCUMENTATION FOR FORMALISING SIMULATION KNOWLEDGE 15
5.3 APPROACHES FOR BENEFITING F R O M USERS' INTUITION
AND EXPERIENCE IN SIMULATION EXPERIMENTATION 18
6 CONCLUSIONS 2 2
REFERENCES 2 4
SIMULATING ENTREPRENEURIAL OPPORTUNITY RECOGNITION PROCESSES: A N
AGENT-BASED AND KNOWLEDGE-DRIVEN APPROACH 2 7
MARTIN IHRIG 1 INTRODUCTION 2 7
2 CONCEPTUAL BACKGROUND 2 8
3 T H E SIMULATION SOFTWARE SIMISPACE2 2 9
3.1 BASICS 3 0
3.2 A G E N T S ' A C T I O N S 31
HTTP://D-NB.INFO/1019948132
IMAGE 2
VIII
CONTENTS
4 T H E SIMULATION MODEL S I M O P P 3 3
4.1 AGENTS 3 3
4.2 KNOWLEDGE 35
5 PUTTING S I M O P P TO USE: TWO VIRTUAL EXPERIMENTS 3 8
5.1 VIRTUAL EXPERIMENT 1: N O KNOWLEDGE-SPILLOVERS 3 8
5.2 VIRTUAL EXPERIMENT 2: KNOWLEDGE-SPILLOVERS 4 0
5.3 OPPORTUNITY CONSTRUCTION, ACQUISITION, AND AMPLIFICATION 4 2
6 EXTENDING SIMOPP: SIMULATING INTERNATIONAL OPPORTUNITY RECOGNITION AND
KNOWLEDGE SPILLOVERS 4 6
6.1 MODELING THE INTERNATIONAL SCENARIO 4 7
6.2 T H E BASE-LINE SCENARIO 4 8
6.3 EXPLORING ENTREPRENEURIAL STRATEGIES IN AN
INTERNATIONAL ENVIRONMENT 4 9
7 CONCLUSION 5 2
REFERENCES 5 3
AGENT-BASED SIMULATION IN A G E F R A M E W O R K 55
LUKASZ FABER, KAMIL PIGTAK, ALEKSANDER BYRSKI, AND M A R E K
KISIEL-DOROHINICKI 1 INTRODUCTION 5 5
2 AGENT-BASED SIMULATION FRAMEWORKS 5 6
2.1 TECHNICAL ISSUES 5 7
2.2 EXISTING SOLUTIONS 5 8
3 AGENT-BASED SIMULATION IN A G E 61
3.1 STRUCTURE AND EXECUTION O F AGENTS 61
3.2 ACTIONS 6 3
3.3 LIFE-CYCLE M A N A G E M E N T 6 4
3.4 COMMUNICATION FACILITIES 6 5
3.5 A G E COMPONENT FRAMEWORK 6 9
3.6 N O D E ARCHITECTURE 71
3.7 VIRTUAL EXECUTION ENVIRONMENT 7 2
4 IMPLEMENTATION O F SAMPLE CASE STUDY IN SELECTED PLATFORMS . . . . 7 3
4.1 M A S O N 7 4
4.2 REPAST 7 5
4.3 MADKIT 7 7
4.4 A G E 7 9
4.5 SUMMARY 81
5 CONCLUSIONS 8 2
REFERENCES 82
SOFTWARE ENVIRONMENT FOR ONLINE SIMULATION O F SWITCHED RELUCTANCE
MACHINES 85
VIRGIL CHINDRI§, RARE§ TEREC, MIRCEA RUBA, AND LORAND S Z A B O 1
INTRODUCTION 85
2 T H E SWITCHED RELUCTANCE MACHINE 8 6
IMAGE 3
CONTENTS IX
3 MODELING AND SIMULATION O F THE S R M 8 8
4 T H E SIMULATION PROGRAM 9 2
5 RESULTS O F THE SIMULATIONS 9 7
6 CONCLUSIONS 101
REFERENCES 107
A HYBRID EMULATION ENVIRONMENT FOR AIRBORNE WIRELESS NETWORKS . . . . I
L L MARCO CARVALHO, ADRIAN GRANADOS, CARLOS PEREZ, MARCO ARGUEDAS,
MICHAEL MUCCIO, JOSEPH SUPRENANT, DANIEL HAGUE, AND BRENDON POLAND 1
INTRODUCTION I L L
2 T H E M L A B HYBRID EMULATION TESTBED 113
3 M L A B - E M A N E INTEGRATION 115
3.1 GENERATION AND DEPLOYMENT O F E M A N E ' S X M L
CONFIGURATION FILES 118
3.2 L I N K CHARACTERIZATION 118
3.3 PATH LOSS FEEDBACK 118
3.4 TRANSMISSION POWER CONTROL 120
4 STATISTICAL LINK MODELING 121
4.1 EMPIRICAL MODEL 123
4.2 THEORETICAL MODEL 124
4.3 MODEL VALIDATION 125
5 CONCLUSION 127
REFERENCES 128
NOVEL THEORY AND SIMULATIONS O F ANTICIPATORY BEHAVIOUR IN ARTIFICIAL
LIFE D O M A I N 131
PAVEL NAHODIL AND JAROSLAV VITKU 1 INTRODUCTION 131
2 ANTICIPATION - DEFINITION AND STATE O F THE A R T 132
2.1 T H E BASICS O F ANTICIPATION 132
2.2 CURRENT TYPES O F ANTICIPATION 134
2.3 STRONG AND WEAK ANTICIPATION 136
2.4 ANTICIPATORY CLASSIFIER SYSTEM 136
2.5 EMOTIVECTOR 139
3 THE PROPOSED APPROACHES AND THEIR SIMULATION 141
3.1 UNCONSCIOUS IMPLICIT ANTICIPATION 142
3.2 CONSCIOUS IMPLICIT ANTICIPATION 142
3.3 UNCONSCIOUS SENSORY ANTICIPATION 145
3.4 CONSCIOUS SENSORY ANTICIPATION 146
3.5 UNCONSCIOUS REWARD ANTICIPATION 148
3.6 CONSCIOUS REWARD ANTICIPATION 150
3.7 UNCONSCIOUS STATE ANTICIPATION 150
3.8 CONSCIOUS STATE ANTICIPATION 151
4 SIMULATIONS AND RESULTS 152
4.1 UNCONSCIOUS IMPLICIT ANTICIPATION 152
4.2 CONSCIOUS IMPLICIT ANTICIPATION 153
IMAGE 4
X CONTENTS
4.3 UNCONSCIOUS SENSORY ANTICIPATION 155
4.4 CONSCIOUS SENSORY ANTICIPATION 155
4.5 UNCONSCIOUS REWARD ANTICIPATION 157
4.6 CONSCIOUS REWARD ANTICIPATION 157
4.7 UNCONSCIOUS STATE ANTICIPATION 159
4.8 CONSCIOUS STATE ANTICIPATION 160
5 CONCLUSION 162
REFERENCES 162
A N INTEGRATED APPROACH TO ROBUST MULTI-ECHELON INVENTORY POLICY
DECISION 165
KATJA KLINGEBIEL AND CONG LI 1 MOTIVATION AND PROBLEM DESCRIPTION 166
2 LITERATURE REVIEW 168
3 INTEGRATED APPROACH 169
4 ANALYTICAL OPTIMISATION 172
4.1 MODEL FORMULATION 172
4.2 MODEL CALCULATION 172
4.3 OPTIMISATION ALGORITHM 175
5 SIMULATION MODULE 176
6 METAHEURISTIC-BASED OPTIMISER 177
6.1 ALGORITHM SELECTION 177
6.2 OPTIMISER DESIGN 180
7 CASE STUDY 188
8 CONCLUSIONS 194
REFERENCES 195
SURVEY O F BACKGROUND NORMALISATION IN AFFYMETRIX ARRAYS AND A CASE
STUDY 199
VILDA PURUT§UOGLU, ELIF KAYI§, AND GERHARD-WILHELM WEBER 1 INTRODUCTION
199
2 BIOLOGICAL BACKGROUND 2 0 0
3 EXPERIMENTAL BACKGROUND 2 0 0
3.1 GATHERING INFORMATION FROM R N A 2 0 0
3.2 PREPARATION O F R N A MIXTURE AND LABELLING 201
4 NORMALISATION 201
4.1 SPATIAL NORMALISATION 2 0 2
4.2 BACKGROUND NORMALISATION 2 0 3
4.3 DYE-EFFECT NORMALISATION 2 1 2
4.4 QUANTILE NORMALISATION 2 1 3
5 A CASE STUDY 2 1 3
5.1 RESULTS O F ANALYSES 2 1 4
6 CONCLUSION 2 1 8
REFERENCES 2 1 9
IMAGE 5
CONTENTS XI
ROBUST REGRESSION METAMODELLING O F COMPLEX SYSTEMS: THE CASE O F
SOLID ROCKET MOTOR PERFORMANCE METAMODELLING 221
ELFIN KARTAL-KOG, INCI BATMAZ, AND GERHARD-WILHELM WEBER 1 INTRODUCTION
2 2 2
2 SAMPLING TECHNIQUES 2 2 4
2.1 CENTRAL COMPOSITE AND FACE-CENTER C U B E DESIGN 2 2 4
2.2 BOX-BEHNKEN DESIGN 2 2 5
2.3 LATIN HYPERCUBE DESIGN 2 2 5
2.4 UNIFORM DESIGN 2 2 5
3 METAMODELLING TECHNIQUES 2 2 6
3.1 POLYNOMIAL REGRESSION METAMODELS 2 2 6
3.2 ROBUST REGRESSION METAMODELS 2 2 7
4 VALIDATION METHOD AND COMPARISON CRITERIA USED 2 2 9
4.1 VALIDATION METHOD 2 2 9
4.2 COMPARISON CRITERIA 2 3 0
5 T H E CASE: SOLID PROPELLANT ROCKET M O T O R PERFORMANCE
METAMODELLING 231
5.1 APPLICATION ENVIRONMENT 231
5.2 MODEL DEVELOPMENT 2 3 2
6 RESULTS AND DISCUSSION 2 3 5
6.1 OVERALL PERFORMANCE 2 3 5
6.2 PERFORMANCE WITH RESPECT TO DESIGNS 2 3 9
6.3 INTERACTIONS A M O N G METHODS AND DESIGNS 2 4 2
6.4 PERFORMANCE WITH RESPECT TO EFFICIENCY 2 4 5
6.5 WITH RESPECT TO OTHER FEATURES 2 4 5
7 CONCLUSION AND FEATURE STUDIES 2 4 6
REFERENCES 2 4 8
APPLICATION O F ANALYTIC PROGRAMMING FOR EVOLUTIONARY SYNTHESIS O F
CONTROL LAW-INTRODUCTION O F TWO APPROACHES 2 5 3
ROMAN SENKERFK, ZUZANA OPLATKOVA, IVAN ZELINKA, AND R O M A N JASEK 1
INTRODUCTION 2 5 3
2 ANALYTIC PROGRAMMING 2 5 4
3 PROBLEM DESIGN 2 5 6
3.1 SELECTED CHAOTIC SYSTEM 2 5 7
3.2 E T D A S CONTROL METHOD 2 5 7
3.3 COST FUNCTIONS 2 5 8
4 USED EVOLUTIONARY ALGORITHMS 2 6 0
4.1 SELF ORGANISING MIGRATION A L G O R I T H M - S O M A 2 6 0
4.2 DIFFERENTIAL EVOLUTION 2 6 2
5 SIMULATION RESULTS 2 6 2
5.1 OPTIMISATION WITH STANDARD-NOT
BLACKBOX-APPROACH 2 6 2
5.2 OPTIMISATION WITH BLACKBOX APPROACH 2 6 3
5.3 COMPARISON O F BOTH APPROACHES 2 6 4
IMAGE 6
XII
CONTENTS
6 CONCLUSION 2 6 5
REFERENCES 2 6 7
COMPLEX AUTOMATA AS A NOVEL CONCEPTUAL F R A M E W O R K FOR MODELING
BIOMEDICAL P H E N O M E N A 2 6 9
WITOLD DZWINEL 1 INTRODUCTION 2 7 0
2 COARSE GRAINING 2 7 5
2.1 CELLULAR AUTOMATA 2 7 5
2.2 PARTICLE METHOD 2 7 8
3 COMPLEX AUTOMATA 2 8 2
3.1 FLOW WITH A THIN L A Y E R OVER A SOLID SURFACE 2 8 4
3.2 T U M O R GROWTH 2 8 7
3.3 FUSARIUM GRAMINEARUM INVASION 291
4 CONCLUSION AND DISCUSSION 2 9 4
REFERENCES 2 9 6
GRAPH G R A M M A R BASED MODEL FOR THREE DIMENSIONAL MULTI-PHYSICS
SIMULATIONS 2 9 9
MACIEJ PASZYRISKI, A N N A PASZYRISKA, AND ROBERT SCHAEFER 1
INTRODUCTION 3 0 0
2 GRAPH G R A M M A R PRODUCTIONS EXPRESSING THE M E S H
GENERATION ALGORITHM 301
3 GRAPH G R A M M A R PRODUCTIONS EXPRESSING THE M E S H
REFINEMENTS ALGORITHM 309
4 M E S H GENERATION AND PROBLEM FORMULATION 311
5 GRAPH G R A M M A R PRODUCTIONS INTERFACING WITH THE
MULTI-FRONTAL DIRECT SOLVER 3 1 4
6 T H E MULTI-FRONTAL DIRECT SOLVER ALGORITHM 3 1 8
7 NUMERICAL RESULTS 3 1 9
8 CONCLUSIONS 3 2 2
REFERENCES 3 2 3
REVIEW O F GRAPH INVARIANTS FOR QUANTITATIVE ANALYSIS O F STRUCTURE
DYNAMICS 325
WOJCIECH CZECH AND WITOLD DZWINEL 1 INTRODUCTION 3 2 5
1.1 SOURCES O F STRUCTURED DATASETS 325
1.2 GRAPH COMPARSION 3 2 7
2 GRAPH INVARIANTS 327
2.1 TYPES O F GRAPH INVARIANTS 327
2.2 SAMPLE INVARIANTS 3 3 0
3 GRAPH DATASETS 3 3 2
3.1 DATASET I: GRAPH REPRESENTATIONS O F IMAGES 3 3 2
3.2 DATASET II: TECHNOLOGICAL NETWORKS 3 3 2
IMAGE 7
CONTENTS XIII
3.3 DATASET III: T U M O R VASCULAR NETWORKS FROM
ANGIOGENESIS SIMULATION 3 3 3
4 EXAMPLES 3 3 4
4.1 DATASET I: C O I L IMAGES 334
4.2 DATASET II: AUTONOMOUS SYSTEMS NETWORKS 337
4.3 DATASET III: TRACKING ANGIOGENESIS SIMULATION 337
5 CONCLUSIONS 341
REFERENCES 341
A CONSOLIDATED STUDY REGARDING THE FORMATION O F THE AERO-INLET VORTEX
345
WEI H U A H O 1 INTRODUCTION 3 4 6
2 VORTEX FORMATION THRESHOLD 3 4 9
2.1 EXPERIMENTAL TECHNIQUES 351
2.2 COMPUTATIONAL TECHNIQUES 3 5 3
3 FACTORS THAT SHIFT THE THRESHOLD 3 5 5
4 VORTEX STRENGTH 3 6 0
5 VORTEX PREVENTION METHODS 3 6 0
6 CONCLUSION 361
REFERENCES 3 6 2
AUTHOR INDEX 3 6 5 |
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| series2 | Studies in computational intelligence |
| spelling | Advances in intelligent modelling and simulation simulation tools and applications Aleksander Byrski ... (eds.) Berlin [u.a.] Springer 2012 XIX, 364 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 416 Computersimulation (DE-588)4148259-1 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Computersimulation (DE-588)4148259-1 s DE-604 Byrski, Aleksander edt Studies in computational intelligence 416 (DE-604)BV020822171 416 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3981586&prov=M&dok%5Fvar=1&dok%5Fext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025098193&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Advances in intelligent modelling and simulation simulation tools and applications Studies in computational intelligence Computersimulation (DE-588)4148259-1 gnd |
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| title | Advances in intelligent modelling and simulation simulation tools and applications |
| title_auth | Advances in intelligent modelling and simulation simulation tools and applications |
| title_exact_search | Advances in intelligent modelling and simulation simulation tools and applications |
| title_full | Advances in intelligent modelling and simulation simulation tools and applications Aleksander Byrski ... (eds.) |
| title_fullStr | Advances in intelligent modelling and simulation simulation tools and applications Aleksander Byrski ... (eds.) |
| title_full_unstemmed | Advances in intelligent modelling and simulation simulation tools and applications Aleksander Byrski ... (eds.) |
| title_short | Advances in intelligent modelling and simulation |
| title_sort | advances in intelligent modelling and simulation simulation tools and applications |
| title_sub | simulation tools and applications |
| topic | Computersimulation (DE-588)4148259-1 gnd |
| topic_facet | Computersimulation Aufsatzsammlung |
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| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT byrskialeksander advancesinintelligentmodellingandsimulationsimulationtoolsandapplications |