Handbook of computational social choice:
Gespeichert in:
| Weitere beteiligte Personen: | , , , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Cambridge University Press
2016
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028959883&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xv, 535 Seiten Diagramme |
| ISBN: | 9781107060432 |
Internformat
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| 245 | 1 | 0 | |a Handbook of computational social choice |c edited by Felix Brandt (Technische Universität München), Vincent Conitzer (Duke University), Ulle Endriss (University of Amsterdam), Jérôme Lang (CNRS), Ariel D. Procaccia (Carnegie Mellon University) |
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Datensatz im Suchindex
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| adam_text | Contents
Foreword page xi
Hervé Moulin
Contributors xiii
1 Introduction to Computational Social Choice 1
Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang,
and Ariel D. Procaccia
1.1 Computational Social Choice at a Glance 1
1.2 History of Social Choice Theory 2
1.3 Book Outline 9
1.4 Further Topics 13
1.5 Basic Concepts in Theoretical Computer Science 17
Part I Voting
2 Introduction to the Theory of Voting 23
William S. Zwicker
2.1 Introduction to an Introduction 23
2.2 Social Choice Functions: Plurality, Copeland, and Borda 26
2.3 Axioms I: Anonymity, Neutrality, and the Pareto Property 30
2.4 Voting Rules I: Condorcet Extensions, Scoring Rules, and Run-Offs 33
2.5 An Informational Basis for Voting Rules: Fishbum’s Classification 38
2.6 Axioms II: Reinforcement and Monotonicity Properties 39
2.7 Voting Rules II: Kemeny and Dodgson 44
2.8 Strategyproofness: Impossibilities 46
2.9 Strategyproofness: Possibilities 51
2.10 Approval Voting 53
2.11 The Future 56
v
vi
CONTENTS
3 Tournament Solutions
Felix Brandt, Markus Brill, and Paul Harrenstein
3.1 Introduction
3.2 Preliminaries
3.3 Common Tournament Solutions
3.4 Strategyproofness and Agenda Implementation
3.5 Generalizations to Weak Tournaments
3.6 Further Reading
4 Weighted Tournament Solutions
Felix Fischer; Olivier Hudry, and Rolf Niedermeier
4.1 Kemeny’s Rule
4.2 Computing Kemeny Winners and Kemeny Rankings
4.3 Further Median Orders
4.4 Applications in Rank Aggregation
4.5 Other C2 Functions
5 Dodgson’s Rule and Young’s Rule
Ioannis Caragiannis, Edith Hemaspaandra, and Lane A.
Hemaspaandra
5.1 Overview
5.2 Introduction, Election-System Definitions, and Results Overview
5.3 Winner-Problem Complexity
5.4 Heuristic Algorithms
5.5 The Parameterized Lens
5.6 Approximation Algorithms
5.7 Bibliography and Further Reading
6 Barriers to Manipulation in Voting
Vincent Conitier and Toby Walsh
6.1 Introduction
6.2 Gibbard-Satterthwaite and Its Implications
6.3 Noncomputational Avenues around Gibbard-Satterthwaite
6.4 Computational Hardness as a Barrier to Manipulation
6.5 Can Manipulation Be Hard Most of the Time?
6.6 Fully Game-Theoretic Models
6.7 Conclusions
7 Control and Bribery in Voting
Piotr Faliszewski and Jörg Rothe
7.1 Introduction
7.2 Preliminaries
7.3 Control
7.4 Bribery
7.5 A Positive Look
7.6 Summary
8 Rationalizations of Voting Rules
Edith Elkind and ArJcadii Slinko
8.1 Introduction
8.2 Consensus-Based Rules
57
57
58
62
76
81
83
85
86
88
94
96
96
103
103
103
107
113
115
118
125
127
127
128
129
131
139
142
144
146
146
147
149
159
167
168
169
169
170
CONTENTS vü
8.3 Rules as Maximum Likelihood Estimators 184
8.4 Conclusions and Further Reading 195
9 Voting in Combinatorial Domains 197
Jéróme Lang and Lirong Xia
9.1 Motivations and Classes of Problems 197
9.2 Simultaneous Voting and the Separability Issue 200
9.3 Approaches Based on Completion Principles 204
9.4 Sequential Voting 215
9.5 Concluding Discussion 221
10 Incomplete Information and Communication in Voting 223
Craig Boutilier and Jeffrey S. Rosenschein
10.1 Introduction 223
10.2 Models of Partial Preferences 224
10.3 Solution Concepts with Partial Preferences 227
10.4 Communication and Query Complexity 234
10.5 Preference Elicitation 239
10.6 Voting with an Uncertain Set of Alternatives 244
10.7 Compilation Complexity 247
10.8 Social Choice from a Utilitarian Perspective 250
10.9 Conclusions and Future Directions 256
Part II Fair Allocation
11 Introduction to the Theory of Fair Allocation 261
William Thomson
11.1 Introduction 261
11.2 What Is a Resource Allocation Problem? 263
11.3 Solutions and Rules 268
11.4 A Sample of Results 277
11.5 Conclusion 282
12 Fair Allocation of Indivisible Goods 284
Sylvain Bouveret, Yann Chevaleyre, and Nicolas Maudet
12.1 Preferences for Resource Allocation Problems 286
12.2 The Fairness versus Efficiency Trade-Off 294
12.3 Computing Fair Allocations 298
12.4 Protocols for Fair Allocation 304
12.5 Conclusion 309
13 Cake Cutting Algorithms 311
Ariel D. Procaccia
13.1 Introduction 311
13.2 The Model 311
13.3 Classic Cake Cutting Algorithms 313
13.4 Complexity of Cake Cutting 316
13.5 Optimal Cake Cutting 323
13.6 Bibliography and Further Reading 328
viii
CONTENTS
Part III Coalition Formation
14 Matching under Preferences 333
Bettina Klaus, David F. Manlove, and Francesca Rossi
14.1 Introduction and Discussion of Applications 333
14.2 Two-Sided Preferences 336
14.3 One-Sided Preferences 345
14.4 Concluding Remarks and Further Reading 354
15 Hedonic Games 356
Haris Aziz and Rahul Savani
15.1 Introduction 356
15.2 Solution Concepts 359
15.3 Preference Restrictions and Game Representations 361
15.4 Algorithms and Computational Complexity 367
15.5 Further Reading 373
16 Weighted Voting Games 377
Georgios Chalkiadakis and Michael Wooldridge
16.1 Introduction 377
16.2 Basic Definitions 378
16.3 Basic Computational Properties 383
16.4 Voter Weight versus Voter Power 388
16.5 Simple Games and Yes/No Voting Systems 390
16.6 Conclusions 394
16.7 Further Reading 394
Part IV Additional Topics
17 Judgment Aggregation 399
Ulle Endriss
17.1 Introduction 399
17.2 Basics 402
17.3 Aggregation Rules 407
17.4 Agenda Characterization Results 414
17.5 Related Frameworks 421
17.6 Applications in Computer Science 423
17.7 Bibliographic Notes and Further Reading 424
18 The Axiomatic Approach and the Internet 427
Moshe Tennenholtz and Aviv Zohar
18.1 Introduction 427
18.2 An Axiomatic Characterization of PageRank 429
18.3 Trust-Based Recommendations 435
18.4 Mechanisms for Multilevel Marketing 44
18.5 Discussion: Additional Applications 450
19 Knockout Tournaments 453
Virginia Vassilevska Williams
19.1 Introduction 453
19.2 Formal Definition and Some Properties 454
CONTENTS
i*
19.3 Agenda Control for General Knockout Tournaments 456
19.4 Agenda Control for Balanced Trees Is Easy for Special Instances 463
19.5 Extensions and Further Reading 471
References 475
Index 529
|
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| id | DE-604.BV043544491 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T17:39:07Z |
| institution | BVB |
| isbn | 9781107060432 |
| language | English |
| lccn | 015030289 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028959883 |
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| physical | xv, 535 Seiten Diagramme |
| publishDate | 2016 |
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| spellingShingle | Handbook of computational social choice Informatik Social choice Interdisciplinary research Computer science Public-Choice-Theorie (DE-588)4233109-2 gnd Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Kollektiventscheidung (DE-588)4022393-0 gnd Informatik (DE-588)4026894-9 gnd |
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| title | Handbook of computational social choice |
| title_auth | Handbook of computational social choice |
| title_exact_search | Handbook of computational social choice |
| title_full | Handbook of computational social choice edited by Felix Brandt (Technische Universität München), Vincent Conitzer (Duke University), Ulle Endriss (University of Amsterdam), Jérôme Lang (CNRS), Ariel D. Procaccia (Carnegie Mellon University) |
| title_fullStr | Handbook of computational social choice edited by Felix Brandt (Technische Universität München), Vincent Conitzer (Duke University), Ulle Endriss (University of Amsterdam), Jérôme Lang (CNRS), Ariel D. Procaccia (Carnegie Mellon University) |
| title_full_unstemmed | Handbook of computational social choice edited by Felix Brandt (Technische Universität München), Vincent Conitzer (Duke University), Ulle Endriss (University of Amsterdam), Jérôme Lang (CNRS), Ariel D. Procaccia (Carnegie Mellon University) |
| title_short | Handbook of computational social choice |
| title_sort | handbook of computational social choice |
| topic | Informatik Social choice Interdisciplinary research Computer science Public-Choice-Theorie (DE-588)4233109-2 gnd Computerunterstütztes Verfahren (DE-588)4139030-1 gnd Kollektiventscheidung (DE-588)4022393-0 gnd Informatik (DE-588)4026894-9 gnd |
| topic_facet | Informatik Social choice Interdisciplinary research Computer science Public-Choice-Theorie Computerunterstütztes Verfahren Kollektiventscheidung |
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Teilbibliothek Mathematik & Informatik
| Signatur: |
0102 MAT 624f 2016 B 2148 Lageplan 0104 MAT 624f 2016 B 2148 Lageplan |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |
| Exemplar 1 | Nicht ausleihbar Am Standort |