Decision making with imperfect decision makers:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2012
|
| Schriftenreihe: | Intelligent systems reference library
28 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XIV, 194 S. graph. Darst. |
| ISBN: | 9783642246463 364224646X |
Internformat
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| 245 | 1 | 0 | |a Decision making with imperfect decision makers |c Tatiana Valentine Guy ... (eds.) |
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| 300 | |a XIV, 194 S. |b graph. Darst. | ||
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Datensatz im Suchindex
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IMAGE 1
CONTENTS
1 BOUNDED RATIONALITY IN MULTIAGENT SYSTEMS USING DECENTRALIZED
METAREASONING 1
ALAN CARLIN, SHLOMO ZILBERSTEIN 1.1 INTRODUCTION 1
1.2 DECENTRALIZED MONITORING 3
1.3 COMPLEXITY OF DECENTRALIZED MONITORING PROBLEM 5
1.3.1 TRANSITION-INDEPENDENT DECENTRALIZED MDP 6 1.4 LOCAL MONITORING 7
1.4.1 COMPLEXITY OF LOCAL MONITORING 7
1.4.2 SOLUTION METHODS WITH LOCAL MONITORING 10
1.5 GLOBAL MONITORING 14
1.6 EXPERIMENTS 16
1.7 OTHER RELATED WORK 25
1.8 SUMMARY AND DISCUSSION 25
REFERENCES 26
2 ON SUPPORT OF IMPERFECT BAYESIAN PARTICIPANTS 29
MIROSLAV KDRNY, TATIANA V. GUY 2.1 INTRODUCTION 29
2.2 DYNAMIC DECISION MAKING UNDER UNCERTAINTY 31
2.3 BAYESIAN DM 33
2.4 FULLY PROBABILISTIC DESIGN 33
2.4.1 DM ELEMENTS IN FPD 34
2.4.2 SOLUTION OF FPD 37
2.5 DM TASKS SUPPORTING IMPERFECT BAYESIAN PARTICIPANTS 39 2.5.1
APPROXIMATION OF KNOWN RND 40
2.5.2 APPROXIMATION OF UNKNOWN RND 42
2.5.3 DESCRIPTION OF UNKNOWN RND 45
2.6 USE OF SUPPORTING DM TASKS 47
2.6.1 MAPPING KNOWLEDGE AND PREFERENCES ON RNDS 48 2.6.2 EXTENSION OF
INCOMPLETE RNDS 49
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1015134149
DIGITALISIERT DURCH
IMAGE 2
X CONTENTS
2.6.3 COMBINATION OF RNDS 50
2.7 CONCLUDING REMARKS AND OPEN QUESTIONS 54
REFERENCES 55
3 TRADING VALUE AND INFORMATION IN MDPS 57
JONATHAN RUBIN, OHAD SHAMIR, NAFIALI TISHBY 3.1 INTRODUCTION 57
3.2 PRELIMINARIES 58
3.2.1 MARKOV DECISION PROCESSES 58
3.2.2 CONTROL INFORMATION 60
3.3 TRADING VALUE AND INFORMATION 61
3.3.1 FREE-ENERGY FORMULATION 61
3.3.2 DETERMINISTIC ENVIRONMENTS 65
3.3.3 GRID WORLD EXAMPLE 65
3.4 ROBUSTNESS 66
3.4.1 PAC-BAYESIAN ANALYSIS 66
3.4.2 'MINE FIELD' EXAMPLE 68
3.5 DISCUSSION 69
REFERENCES 74
4 GAME THEORETIC MODELING OF PILOT BEHAVIOR DURING MID-AIR ENCOUNTERS 75
RITCHIE LEE, DAVID WOLPERT 4.1 INTRODUCTION 75
4.2 SEMI NETWORK-FORM GAMES 76
4.2.1 NOTATION 77
4.2.2 DEFINITION 77
4.2.3 A SIMPLE SEMI NETWORK-FORM GAME EXAMPLE 78 4.2.4 LEVEL-K THINKING
79
4.2.5 SATISFICING 80
4.2.6 LEVEL-K RELAXED STRATEGIES 81
4.2.7 LEVEL-K D-RELAXED STRATEGIES 84
4.3 USING SEMI NET-FORM GAMES TO MODEL MID-AIR ENCOUNTERS 88 4.3.1
DIRECTED ACYCLIC GRAPH G 89
4.3.2 VARIABLE SPACES X 90
4.3.3 UTILITY FUNCTION U 92
4.3.4 PARTITION R 93
4.3.5 SET OF CONDITIONAL PROBABILITIES N 94
4.3.6 COMPUTING LEVEL-K D-RELAXED STRATEGIES 95
4.3.7 ENCOUNTER SIMULATION 97
4.3.8 SOCIAL WELFARE F 103
4.3.9 EXAMPLE ENCOUNTER 103
4.3.10 SENSITIVITY ANALYSIS 104
4.3.11 POTENTIAL BENEFITS OF A HORIZONTAL RESOLUTION ADVISORY (RA)
SYSTEM 107
4.4 ADVANTAGES OF SEMI NET-FORM GAME MODELING 108
IMAGE 3
CONTENTS XI
4.5 CONCLUSIONS AND FUTURE WORK 109
REFERENCES 110
5 SCALABLE NEGOTIATION PROTOCOL BASED ON ISSUE-GROUPING FOR HIGHLY
NONLINEAR SITUATION 113
KATSUHIDE FUJITA, TAKAYUKI ITO, MARK KLEIN 5.1 INTRODUCTION 113
5.2 NEGOTIATION WITH NONLINEAR UTILITY FUNCTIONS 115
5.2.1 PRELIMINARIES 115
5.2.2 INTERDEPENDENCY AMONG ISSUES 117
5.3 NEGOTIATION PROTOCOL BASED ON ISSUE INTERDEPENDENCY 118 5.3.1
EFFICIENT NEGOTIATION PROTOCOL BASED ON ISSUE-GROUPS . . 118 5.3.2
INCENTIVES FOR TRUTHFUL VOTING 122
5.4 EXPERIMENTAL RESULTS 122
5.4.1 SETTING 122
5.4.2 EXPERIMENTAL RESULTS 124
5.5 RELATED WORK 129
5.6 CONCLUSION 131
REFERENCES 131
6 THE SOCIAL ULTIMATUM GAME 135
YU-HAN CHANG, TOMER LEVINBOIM, RAJIV MAHESWARAN 6.1 INTRODUCTION 135
6.2 RELATED WORK 137
6.3 SOCIAL ULTIMATUM GAME 138
6.3.1 EQUILIBRIUM ANALYSIS 139
6.4 ADAPTIVE AGENTS MODEL 142
6.4.1 AXIOMS OF PLAY 142
6.4.2 CHARACTERIZING THE PLAYERS 143
6.4.3 ADAPTATION RULES 144
6.5 SIMULATION EXPERIMENTS 146
6.5.1 STABILITY OF FAIR PLAYERS 146
6.5.2 THE EFFECT OF A ROGUE AGENT 147
6.5.3 RECIPROCITY VS. RANDOMNESS 149
6.5.4 DISCUSSION 149
6.6 HUMAN EXPERIMENTS 151
6.6.1 METHODOLOGY 151
6.6.2 DISCUSSION 152
6.7 CONCLUSION 156
REFERENCES 157
7 NEUROHEURISTICS OF DECISION MAKING: FROM NEURONAL ACTIVITY TO EEG 159
ALESSANDRO E.P. VILLA, PASCAL MISSONNIER, ALESSANDRA LINTAS 7.1 THE
NEUROHEURISTIC PARADIGM 160
7.2 DECISION MAKING 161
IMAGE 4
XII CONTENTS
7.3 NEURONAL ACTIVITY 162
7.4 EXPERIMENT I: CHOICE REACTION-TIME TASK 163
7.4.1 SUBJECTS AND EXPERIMENTAL APPARATUS 163
7.4.2 BEHAVIORAL TRAINING 164
7.4.3 CHRONIC IMPLANTATION OF RECORDING ELECTRODES 166 7.4.4 PREFERRED
FIRING SEQUENCES 167
7.5 NEURONAL CORRELATE OF DECISION MAKING 168
7.6 WORKING MEMORY AND DECISION MAKING 172
7.7 ELECTROENCEPHALOGRAPHIC CORRELATES 173
7.8 EXPERIMENT II: THE ULTIMATUM GAME 175
7.8.1 SUBJECTS ; 176
7.8.2 BEHAVIORAL TASK 176
7.8.3 EEG RECORDINGS AND ERP DATA 178
7.8.4 ERP CORRELATES OF DECISION MAKING 178
7.9 DISCUSSION 183
REFERENCES 185
AUTHOR INDEX 195 |
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| title | Decision making with imperfect decision makers |
| title_auth | Decision making with imperfect decision makers |
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| title_full_unstemmed | Decision making with imperfect decision makers Tatiana Valentine Guy ... (eds.) |
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