Gibbard-Satterthwaite Success Stories and Obvious Strategyproofness
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California Institute of Technology
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Caltech Authors - Main DIVISION OF THE HUM ANITIES AND SO CI AL SCIENCES CALIFORNIA INSTITUTE OF TECHNOLOGY PASADENA, CALIFORNIA 91125 IMPLEMENTATION THEORY Thomas R. Palfrey � < a: 0 1891 u. "')/,.. () SOCIAL SCIENCE WORKING PAPER 912 September 1995 Implementation Theory Thomas R. Palfrey Abstract This surveys the branch of implementation theory initiated by Maskin (1977). Results for both complete and incomplete information environments are covered. JEL classification numbers: 025, 026 Key words: Implementation Theory, Mechanism Design, Game Theory, Social Choice Implementation Theory* Thomas R. Palfrey 1 Introduction Implementation theory is an area of research in economic theory that rigorously investi gates the correspondence between normative goals and institutions designed to achieve {implement) those goals. More precisely, given a normative goal or welfare criterion for a particular class of allocation pro blems (or domain of environments) it formally char acterizes organizational mechanisms that will guarantee outcomes consistent with that goal, assuming the outcomes of any such mechanism arise from some specification of equilibrium behavior. The approaches to this problem to date lie in the general domain of game theory because, as a matter of definition in the implementation theory litera ture, an institution is modelled as a mechanism, which is essentially a non-cooperative game. Moreover, the specific models of equilibrium behavior -
Lecture Notes
GRADUATE GAME THEORY LECTURE NOTES BY OMER TAMUZ California Institute of Technology 2018 Acknowledgments These lecture notes are partially adapted from Osborne and Rubinstein [29], Maschler, Solan and Zamir [23], lecture notes by Federico Echenique, and slides by Daron Acemoglu and Asu Ozdaglar. I am indebted to Seo Young (Silvia) Kim and Zhuofang Li for their help in finding and correcting many errors. Any comments or suggestions are welcome. 2 Contents 1 Extensive form games with perfect information 7 1.1 Tic-Tac-Toe ........................................ 7 1.2 The Sweet Fifteen Game ................................ 7 1.3 Chess ............................................ 7 1.4 Definition of extensive form games with perfect information ........... 10 1.5 The ultimatum game .................................. 10 1.6 Equilibria ......................................... 11 1.7 The centipede game ................................... 11 1.8 Subgames and subgame perfect equilibria ...................... 13 1.9 The dollar auction .................................... 14 1.10 Backward induction, Kuhn’s Theorem and a proof of Zermelo’s Theorem ... 15 2 Strategic form games 17 2.1 Definition ......................................... 17 2.2 Nash equilibria ...................................... 17 2.3 Classical examples .................................... 17 2.4 Dominated strategies .................................. 22 2.5 Repeated elimination of dominated strategies ................... 22 2.6 Dominant strategies .................................. -
Game Theory 2021
More Mechanism Design Game Theory 2021 Game Theory 2021 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss 1 More Mechanism Design Game Theory 2021 Plan for Today In this second lecture on mechanism design we are going to generalise beyond the basic scenario of auctions|as much as we can manage: • Revelation Principle: can focus on direct-revelation mechanisms • formal model of direct-revelation mechanisms with money • incentive compatibility of the Vickrey-Clarke-Groves mechanism • other properties of VCG for special case of combinatorial auctions • impossibility of achieving incentive compatibility more generally Much of this is also (somewhat differently) covered by Nisan (2007). N. Nisan. Introduction to Mechanism Design (for Computer Scientists). In N. Nisan et al. (eds.), Algorithmic Game Theory. Cambridge University Press, 2007. Ulle Endriss 2 More Mechanism Design Game Theory 2021 Reminder Last time we saw four auction mechanisms for selling a single item: English, Dutch, first-price sealed-bid, Vickrey. The Vickrey auction was particularly interesting: • each bidder submits a bid in a sealed envelope • the bidder with the highest bid wins, but pays the price of the second highest bid (unless it's below the reservation price) It is a direct-revelation mechanism (unlike English and Dutch auctions) and it is incentive-compatible, i.e., truth-telling is a dominant strategy (unlike for Dutch and FPSB auctions). Ulle Endriss 3 More Mechanism Design Game Theory 2021 The Revelation Principle Revelation Principle: Any outcome that is implementable in dominant strategies via some mechanism can also be implemented by means of a direct-revelation mechanism making truth-telling a dominant strategy. -
Revelation Principles in Multistage Games∗
Revelation Principles in Multistage Games Takuo Sugaya and Alexander Wolitzky Stanford GSB and MIT September 22, 2017 Abstract We study the revelation principle in multistage games for perfect Bayesian equi- libium and sequential equilibrium. The question of whether or not the revelation principle holds is subtle, as expanding players’ opportunities for communication ex- pands the set of consistent beliefs at off-path information sets. In settings with adverse selection but no moral hazard, Nash, perfect Bayesian, and sequential equilibrium are essentially equivalent, and a virtual-implementation version of the revelation principle holds. In general, we show that the revelation principle holds for weak perfect Bayesian equilibrium and for a stronger notion of perfect Bayesian equilibrium introduced by Myerson (1986). Our main result is that the latter notion of perfect Bayesian equilib- rium is outcome-equivalent to sequential equilibrium when the mediator can tremble; this provides a revelation principle for sequential equilibrium. When the mediator cannot tremble, the revelation principle for sequential equilibrium can fail. Preliminary. Comments Welcome. For helpful comments, we thank Drew Fudenberg, Dino Gerardi, Shengwu Li, Roger Myerson, Alessandro Pavan, Harry Pei, Juuso Toikka, and Bob Wilson. 1 Introduction The revelation principle states that any social choice function that can be implemented by any mechanism can also be implemented by a canonical mechanism where communication between players and the mechanism designer or mediator takes a circumscribed form: players communicate only their private information to the mediator, and the mediator communi- cates only recommended actions to the players. This cornerstone of modern microeconomics was developed by several authors in the 1970s and early 1980s, reaching its most general formulation in the principal-agent model of Myerson (1982), which treats one-shot games with both adverse selection and moral hazard. -
The Revelation Principle for Mechanism Design with Reporting Costs
The Revelation Principle for Mechanism Design with Reporting Costs ANDREW KEPHART, Duke University VINCENT CONITZER, Duke University The revelation principle is a key tool in mechanism design. It allows the designer to restrict attention to the class of truthful mechanisms, greatly facilitating analysis. This is also borne out in an algorithmic sense, al- lowing certain computational problems in mechanism design to be solved in polynomial time. Unfortunately, when not every type can misreport every other type (the partial verification model), or—more generally— misreporting can be costly, the revelation principle can fail to hold. This also leads to NP-hardness results. The primary contribution of this paper consists of characterizations of conditions under which the revelation principle still holds when misreporting can be costly. (These are generalizations of conditions given earlier for the partial verification case [Green and Laffont 1986; Yu 2011].) We also study associated computational problems. Additional Key Words and Phrases: automated mechanism design, signaling costs, partial verification, rev- elation principle 1. INTRODUCTION Mechanism design concerns making decisions based on the private information of one or more agents, who will not report this information truthfully if they do not see this to be in their interest. The goal is to define a mechanism—a game to be played by the agent(s)—that defines actions for the agents to take and maps these actions to outcomes, such that in equilibrium, the agents’ true types map to outcomes as de- sired. This may, at first, appear to leave us in the unmanageable situation of having to search through all possible games we could define. -
Designing Mechanisms to Make Welfare- Improving Strategies Focal∗
Designing Mechanisms to Make Welfare- Improving Strategies Focal∗ Daniel E. Fragiadakis Peter Troyan Texas A&M University University of Virginia Abstract Many institutions use matching algorithms to make assignments. Examples include the allocation of doctors, students and military cadets to hospitals, schools and branches, respec- tively. Most of the market design literature either imposes strong incentive constraints (such as strategyproofness) or builds mechanisms that, while more efficient than strongly incentive compatible alternatives, require agents to play potentially complex equilibria for the efficiency gains to be realized in practice. Understanding that the effectiveness of welfare-improving strategies relies on the ease with which real-world participants can find them, we carefully design an algorithm that we hypothesize will make such strategies focal. Using a lab experiment, we show that agents do indeed play the intended focal strategies, and doing so yields higher overall welfare than a common alternative mechanism that gives agents dominant strategies of stating their preferences truthfully. Furthermore, we test a mech- anism from the field that is similar to ours and find that while both yield comparable levels of average welfare, our algorithm performs significantly better on an individual level. Thus, we show that, if done carefully, this type of behavioral market design is a worthy endeavor that can most promisingly be pursued by a collaboration between institutions, matching theorists, and behavioral and experimental economists. JEL Classification: C78, C91, C92, D61, D63, Keywords: dictatorship, indifference, matching, welfare, efficiency, experiments ∗We are deeply indebted to our graduate school advisors Fuhito Kojima, Muriel Niederle and Al Roth for count- less conversations and encouragement while advising us on this project. -
Theory of Mechanism Design
Theory of Mechanism Design Debasis Mishra1 April 14, 2020 1Economics and Planning Unit, Indian Statistical Institute, 7 Shahid Jit Singh Marg, New Delhi 110016, India, E-mail: [email protected] 2 Contents 1 Introduction to Mechanism Design7 1.0.1 Private Information and Utility Transfers................8 1.0.2 Examples in Practice........................... 10 1.1 A General Model of Preferences......................... 11 1.2 Social Choice Functions and Mechanisms.................... 14 1.3 Dominant Strategy Incentive Compatibility................... 16 1.4 Bayesian Incentive Compatibility........................ 18 1.4.1 Failure of revelation principle...................... 21 2 Mechanism Design with Transfers and Quasilinearity 23 2.1 A General Model................................. 24 2.1.1 Allocation Rules............................. 24 2.1.2 Payment Functions............................ 26 2.1.3 Incentive Compatibility.......................... 27 2.1.4 An Example................................ 27 2.1.5 Two Properties of Payments....................... 28 2.1.6 Efficient Allocation Rule is Implementable............... 29 2.2 The Vickrey-Clarke-Groves Mechanism..................... 32 2.2.1 Illustration of the VCG (Pivotal) Mechanism.............. 33 2.2.2 The VCG Mechanism in the Combinatorial Auctions......... 35 2.2.3 The Sponsored Search Auctions..................... 37 2.3 Affine Maximizer Allocation Rules are Implementable............. 38 2.3.1 Public Good Provision.......................... 40 2.3.2 Restricted and Unrestricted Type Spaces................ 41 3 3 Mechanism Design for Selling a Single Object 45 3.1 The Single Object Auction Model........................ 45 3.1.1 The Vickrey Auction........................... 45 3.1.2 Facts from Convex Analysis....................... 46 3.1.3 Monotonicity and Revenue Equivalence................. 49 3.1.4 The Efficient Allocation Rule and the Vickrey Auction....... -
Truthful Revelation Mechanisms for Simultaneous Common Agency Games† 132 Truthful Revelation Mechanisms for Simultaneous Common A
American Economic Journal: Microeconomics 2 (May 2010): 132–190 http://www.aeaweb.org/articles.php?doi 10.1257/mic.2.2.132 = Contents Truthful Revelation Mechanisms for Simultaneous Common Agency Games† 132 Truthful Revelation Mechanisms for Simultaneous Common A. Simple Menu-Auction Example 136 Agency Games† I. The Environment 140 II. Simple Revelation Mechanisms 143 By Alessandro Pavan and Giacomo Calzolari* III. Using Revelation Mechanisms in Applications 150 A. Competition in Nonlinear Tariffs 150 B. Menu Auctions 156 We introduce new revelation mechanisms for simultaneous common C. Moral Hazard 159 agency games which, although they do not always permit a complete IV. Enriched Mechanisms 161 equilibrium characterization, do facilitate the characterization of A. Non-Markov Strategies 161 the equilibrium outcomes that are typically of interest in applica- tions. We then show how these mechanisms can be used in applica- B. Mixed Strategies 163 tions such as menu auctions, competition in nonlinear tariffs, and V. Conclusions 166 moral hazard settings. Lastly, we show how one can enrich the rev- Appendix 1: Take-It-or-Leave-It-Offer Equilibria in the Menu-Auction Example in the Introduction elation mechanisms, albeit at a cost of an increase in complexity, 167 to characterize all possible equilibrium outcomes, including those Appendix 2: Omitted Proofs 168 sustained by non-Markov strategies and or mixed-strategy profiles. REFERENCES 189 / JEL C72, D82, D86 ( ) any economic environments can be modelled as common agency games—that M is, games where multiple principals contract simultaneously and noncoopera- tively with the same agent.1 Despite their relevance for applications, the analysis of these games has been made difficult by the fact that one cannot safely assume that the agent selects a contract with each principal by simply reporting his “type” i.e., his ( exogenous payoff-relevant information . -
Strategyproof Exchange with Multiple Private Endowments
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence Strategyproof Exchange with Multiple Private Endowments Taiki Todo, Haixin Sun, Makoto Yokoo Dept. of Informatics Kyushu University Motooka 744, Fukuoka, JAPAN ftodo, sunhaixin, [email protected] Abstract efficient and individually rational. Moreover, it is the only We study a mechanism design problem for exchange rule that satisfies those three properties (Ma 1994). Due to economies where each agent is initially endowed with these advantages, TTC has been attracting much attention a set of indivisible goods and side payments are not al- from both economists and computer scientists. lowed. We assume each agent can withhold some en- In this paper we consider exchange economies where each dowments, as well as misreport her preference. Under this assumption, strategyproofness requires that for each agent is endowed with a set of multiple goods, instead of agent, reporting her true preference with revealing all a single good. Under that model, Pareto efficiency, indi- her endowments is a dominant strategy, and thus implies vidual rationality, and strategyproofness cannot be simulta- individual rationality. Our objective in this paper is to neously satisfied (Sonmez¨ 1999). Therefore, one main re- analyze the effect of such private ownership in exchange search direction on exchanges with multiple endowments is economies with multiple endowments. As fundamental to achieve strategyproof rules that guarantee a limited notion results, we first show that the revelation principle holds of efficiency. In particular, Papai´ (2003) defined a class of under a natural assumption and that strategyproofness exchange rules and gave a characterization by strategyproof- and Pareto efficiency are incompatible even under the ness and individual rationality with some other weak effi- lexicographic preference domain. -
Proportionality and Strategyproofness in Multiwinner Elections
Session 43: Social Choice Theory 3 AAMAS 2018, July 10-15, 2018, Stockholm, Sweden Proportionality and Strategyproofness in Multiwinner Elections Dominik Peters University of Oxford Oxford, UK [email protected] ABSTRACT focussed on cases where there are no parties, and preferences are Multiwinner voting rules can be used to select a fixed-size com- expressed directly over the candidates [23]. The latter setting allows mittee from a larger set of candidates. We consider approval-based for applications in areas outside the political sphere, such as in committee rules, which allow voters to approve or disapprove can- group recommendation systems. didates. In this setting, several voting rules such as Proportional To formalise the requirement of proportionality in this party-free Approval Voting (PAV) and Phragmén’s rules have been shown to setting, it is convenient to consider the case where input preferences produce committees that are proportional, in the sense that they are given as approval ballots: each voter reports a set of candidates proportionally represent voters’ preferences; all of these rules are that they find acceptable. Even for this simple setting, there isa strategically manipulable by voters. On the other hand, a generalisa- rich variety of rules that exhibit different behaviour [31], and this tion of Approval Voting gives a non-proportional but strategyproof setting gives rise to a rich variety of axioms. voting rule. We show that there is a fundamental tradeoff between One natural way of selecting a committee of k candidates when these two properties: we prove that no multiwinner voting rule can given approval ballots is to extend Approval Voting (AV): for each simultaneously satisfy a weak form of proportionality (a weakening of the m candidates, count how many voters approve them (their of justified representation) and a weak form of strategyproofness. -
Lecture 1: Ascending and Ex Post Incentive Compatible Mechanisms
CS364B: Frontiers in Mechanism Design Lecture #1: Ascending and Ex Post Incentive Compatible Mechanisms∗ Tim Roughgardeny January 8, 2014 1 Introduction These twenty lectures cover advanced topics in mechanism design. They assume familiarity with some of the material covered in the instructor's CS364A course | specifically, lectures 2{4 and 7{9. Recall that mechanism design is the \science of rule-making." The goal is to understand how to design systems with strategic participants | autonomous decision-makers whose objectives are generally different from the the designer's | that have good performance guarantees. For example, a mechanism designer might want to compute a socially efficient allocation of scarce resources or raise significant revenue, while a mechanism participant only cares about its own utility. 2 Course Outline The plan is to cover the following five topics. 1. (6 lectures.) Welfare-maximization in combinatorial auctions: tractable special cases and ascending implementations. 2. (4 lectures.) Welfare-maximization in combinatorial auctions: dominant-strategy ap- proximation mechanisms for NP-hard cases. 3. (3 lectures.) Welfare-maximization in combinatorial auctions: better guarantees for weaker solutions concepts (undominated strategies and Bayes-Nash equilibria). ∗ c 2014, Tim Roughgarden. yDepartment of Computer Science, Stanford University, 462 Gates Building, 353 Serra Mall, Stanford, CA 94305. Email: [email protected]. 1 4. (4 lectures.) The price of anarchy in simple auctions. 5. (3 lectures.) Revenue-maximization in multi-parameter settings. 3 Review: The k-Vickrey Auction Let's recall a basic example from last quarter. Scenario #1: • k identical items (even k = 1 is interesting); • each bidder is unit demand, meaning it only wants one item; • each bidder has a private valuation vi for a item. -
Strategy-Proofness in Experimental Matching Markets
WINPEC Working Paper Series No.E1913 August 2019 Strategy-proofness in experimental matching markets Pablo Guillen and Robert F. Veszteg Waseda INstitute of Political EConomy Waseda University Tokyo, Japan Strategy-proofness in experimental matching markets Pablo Guillen∗ Robert´ F. Vesztegy The University of Sydney Waseda University September 21, 2019 Abstract We introduce two novel matching mechanisms, Reverse Top Trading Cy- cles (RTTC) and Reverse Deferred Acceptance (RDA), with the purpose of challenging the idea that the theoretical property of strategy-proofness in- duces high rates of truth-telling in economic experiments. RTTC and RDA are identical to the celebrated Top Trading Cycles (TTC) and Deferred Ac- ceptance (DA) mechanisms, respectively, in all their theoretical properties except that their dominant-strategy equilibrium is to report one’s preferences in the order opposite to the way they were induced. With the focal truth- telling strategy being out of equilibrium, we are able to perform a clear mea- surement of how much of the truth-telling reported for strategy-proof mech- anisms is compatible with rational behavior and how much of it is caused by confused decision-makers following a default (very focal) strategy without understanding the structure of the game. In a school-allocation setting, we find that roughly half of the observed truth-telling under TTC and DA is the result of na¨ıve (non-strategic) behavior. Only 13-29% of participants’ ac- tions in RTTC and RDA are compatible with rational behavior. Further than that, by looking at the responses of those seemingly rational participants in control tasks, it becomes clear that even them lack a basic understanding of the game incentives.