COMPLEXITY OF HEDONIC GAMES

Size: px
Start display at page:

Download "COMPLEXITY OF HEDONIC GAMES"

Transcription

1 COMPLEXITY OF HEDONIC GAMES WITH DICHOTOMOUS PREFERENCES Dominik Peters University of Oxford advised by Edith Elkind This work will be presented at AAAI 2016.

2 Hedonic Games [Drèze and Greenberg, 1980; Banerjee et al., 2001; Bogomolnaia and Jackson, 2002] Finite set N of agents, each agent having preferences < i over groups of agents: i 2 N {1, 2} 1 {1, 2, 3} 1 {1} 1 {1, 3} Outcome: a partition of the agents.

3 Hedonic Games [Drèze and Greenberg, 1980; Banerjee et al., 2001; Bogomolnaia and Jackson, 2002] Finite set N of agents, each agent having preferences < i over groups of agents: i 2 N {1, 2} 1 {1, 2, 3} 1 {1} 1 {1, 3} Outcome: a partition of the agents.

4 Single-Agent Stability A partition is Nash stable (NS) if no agent wants to join a different coalition. A partition is individually stable (IS) if no agent can join a different coalition, all members of which welcome the new agent.

5 Group Stability A partition is core stable (CR) if no group S of agents all strictly prefer that group to where they are in the partition.

6 Preference Representation Assign utilities to agents, not coalitions: v i : N! R. Additively Separable Games: S < i T () X j2s v i (j) > X j2t v i (j). We can also take the average (Fractional Hedonic Games), the minimum (W-hedonic games), the median, and others.

7 SNS SCR CORE NASH IS Sum ( Additively Sep. ) Average ( FHGs ) Minimum (no ties) ( W-preferences ) Minimum ( W-preferences ) NP-hard NP-hard [Sung, Dimitrov 10] NP-hard [Sung, Dimitrov 10] NP-hard NP-hard NP-hard [Brandl, Brandt, Strobel 15] NP-hard [Sung, Dimitrov 10] [Brandl, Brandt, Strobel 15] (poly-time) (poly-time) [Aziz, Harrenstein, Pygra 12] NP-hard [Cechlárová, Hajduková 04] [Aziz, Harrenstein, Pygra 12] [Sung, Dimitrov 10] [Brandl, Brandt, Strobel 15] [Aziz, Harrenstein, Pygra 12] WB-preferences NP-hard NP-hard Median NP-hard NP-hard List all Acceptable ( IRCL ) NP-hard NP-hard NP-hard [Ballester 04] [Ballester 04] [Ballester 04] Weighted Formulas ( HC-nets ) NP-hard NP-hard NP-hard [Elkind, Wooldridge 09] Social FHGs NP-hard NP-hard (poly-time) (poly-time) Midrange (½B + ½W) NP-hard NP-hard 4-Approval NP-hard NP-hard NP-hard

8 Theorem. (Informal Statement) Instance: a (concisely represented) hedonic game Question: does the game admit stable outcome? This problem is NP-hard whenever agents may order coalitions {i, j} arbitrarily and agents may have enemies such that they dislike any coalition containing enemies. from Peters and Elkind (2015, IJCAI): Simple Causes of Complexity in Hedonic Games

9 DICHOTOMOUS PREFERENCES {1, 2} 1 {1, 3} 1 {1, 2, 3} 1 {1}, {2, 3} 2 {2, 1} 2 {1, 2, 3} 2 {2}, {3, 1} 3 {3, 2} 3 {1, 2, 3} 3 {3}. {1, 2} 1 {1, 3} 1 {1, 2, 3} 1 {1}, {2, 3} 2 {2, 1} 2 {1, 2, 3} 2 {2}, {3, 1} 3 {3, 2} 3 {1, 2, 3} 3 {3}.

10 Theorem: Every hedonic game with dichotomous preferences admits an outcome that is simultaneously core stable (resistant to group deviations) individually stable (resistant to single-agent deviations).

11 Theorem: Every hedonic game with dichotomous preferences admits an outcome that is simultaneously core stable (resistant to group deviations) individually stable (resistant to single-agent deviations). Proof: Repeatedly find a maximal (w.r.t. set inclusion) coalition that is approved by everyone in it. Once there are no such coalitions anymore, put all the remaining players (the losers) into one coalition.

12 BOOLEAN HEDONIC GAMES Dichotomous Preferences can be specified with propositional logic: every agent has a goal. Example: Agent i approves a coalition S N if and only if Alice Bob (Charlie (David Eve)) This is the model studied by Aziz, Lang, Harrenstein, Wooldridge (2014), Boolean Hedonic Games

13 COMPLEXITY RESULTS SW PF PO NS IS CR SCR Boolean NP-c. NP-c. NP-h. NP-c. P FNP-h. p 2 -c. 1-lists NP-c. P P P P P NP-c. 2-lists NP-c. P P P P P NP-c. 3-lists NP-c. NP-c. NP-h.? P P NP-c. 4-lists NP-c. NP-c. NP-h. NP-c. P P NP-c. Anonymous NP-c. NP-c. NP-h. NP-c. P P NP-c. Intervals P P P? P P? Roommates P P P NP-c. P P P Majority? P? P P P P

14 MAJORITY PREFERENCES Suppose the agents form the vertices of a graph, and any two agents who have similar opinions are connected by an edge. An agent i approves those coalitions in which i is connected to a majority of agents in the coalition, so that majority decisions in the group tend to favour agent i. Formally, a coalition S N is approved by i if d G[S] (i) > S /2 In hedonic games with these preferences, an outcome that is both core- and Nash-stable always exists, and can be found in polynomial time.

15 COMPLEXITY OF HEDONIC GAMES WITH DICHOTOMOUS PREFERENCES Dominik Peters University of Oxford advised by Edith Elkind This work will be presented at AAAI 2016.

arxiv: v1 [cs.gt] 10 Apr 2018

arxiv: v1 [cs.gt] 10 Apr 2018 Individual and Group Stability in Neutral Restrictions of Hedonic Games Warut Suksompong Department of Computer Science, Stanford University 353 Serra Mall, Stanford, CA 94305, USA warut@cs.stanford.edu

More information

15 Hedonic Games. Haris Aziz a and Rahul Savani b Introduction

15 Hedonic Games. Haris Aziz a and Rahul Savani b Introduction 15 Hedonic Games Haris Aziz a and Rahul Savani b 15.1 Introduction Coalitions are a central part of economic, political, and social life, and coalition formation has been studied extensively within the

More information

Fractional Hedonic Games: Individual and Group Stability

Fractional Hedonic Games: Individual and Group Stability Fractional Hedonic Games: Individual and Group Stability Florian Brandl Institut für Informatik TU München, Germany brandlfl@in.tum.de Felix Brandt Institut für Informatik TU München, Germany brandtf@in.tum.de

More information

Pareto Optimality in Coalition Formation

Pareto Optimality in Coalition Formation Pareto Optimality in Coalition Formation Haris Aziz Felix Brandt Paul Harrenstein Technische Universität München IJCAI Workshop on Social Choice and Artificial Intelligence, July 16, 2011 1 / 21 Coalition

More information

Existence of Stability in Hedonic Coalition Formation Games

Existence of Stability in Hedonic Coalition Formation Games Existence of Stability in Hedonic Coalition Formation Games ABSTRACT Haris Aziz Department of Informatics Technische Universität München 85748 Garching bei München, Germany aziz@in.tum.de In this paper,

More information

Computing Desirable Partitions in Additively Separable Hedonic Games

Computing Desirable Partitions in Additively Separable Hedonic Games Computing Desirable Partitions in Additively Separable Hedonic Games Haris Aziz, Felix Brandt, Hans Georg Seedig Institut für Informatik, Technische Universität München, 80538 München, Germany Abstract

More information

Pareto Optimality in Coalition Formation

Pareto Optimality in Coalition Formation Pareto Optimality in Coalition Formation Haris Aziz Felix Brandt Paul Harrenstein Department of Informatics Technische Universität München 85748 Garching bei München, Germany {aziz,brandtf,harrenst}@in.tum.de

More information

arxiv: v1 [cs.gt] 23 Jan 2012

arxiv: v1 [cs.gt] 23 Jan 2012 Existence of Stability in Hedonic Coalition Formation Games Haris Aziz 1 and Florian Brandl 2 arxiv:1201.4754v1 [cs.gt] 23 Jan 2012 1 Department of Informatics, Technische Universität München, 85748 München,

More information

Graphical Hedonic Games of Bounded Treewidth

Graphical Hedonic Games of Bounded Treewidth Graphical Hedonic Games of Bounded Treewidth Dominik Peters Department of Computer Science University of Oxford, UK dominik.peters@cs.ox.ac.uk Abstract Hedonic games are a well-studied model of coalition

More information

Stable and Pareto optimal group activity selection from ordinal preferences

Stable and Pareto optimal group activity selection from ordinal preferences Int J Game Theory (2018) 47:1183 1209 https://doiorg/101007/s00182-018-0612-3 ORIGINAL PAPER Stable and Pareto optimal group activity selection from ordinal preferences Andreas Darmann 1 Accepted: 21 January

More information

Stable partitions in additively separable hedonic games

Stable partitions in additively separable hedonic games Stable partitions in additively separable hedonic games Haris Aziz Felix Brandt Hans Georg Seedig Department of Informatics Technische Universität München 878 Garching bei München, Germany {aziz,brandtf,seedigh}@in.tum.de

More information

Artificial Intelligence

Artificial Intelligence Artificial Intelligence 195 (2013) 316 334 Contents lists available at SciVerse ScienceDirect Artificial Intelligence www.elsevier.com/locate/artint Computing desirable partitions in additively separable

More information

Fractional Hedonic Games

Fractional Hedonic Games Fractional Hedonic Games HARIS AZIZ, Data61, CSIRO, and UNSW Australia FLORIAN BRANDL, Technical University of Munich FELIX BRANDT, Technical University of Munich PAUL HARRENSTEIN, University of Oxford

More information

arxiv: v2 [cs.gt] 1 Nov 2017

arxiv: v2 [cs.gt] 1 Nov 2017 November, 017 0:17 WSPC/INSTRUCTION FILE ppijgtr International Game Theory Review c World Scientific Publishing Company arxiv:1405.3360v [cs.gt] 1 Nov 017 ON THE NASH STABILITY IN HEDONIC COALITION FORMATION

More information

Group Activity Selection on Social Networks

Group Activity Selection on Social Networks Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) Group Activity Selection on Social Networks Ayumi Igarashi, Dominik Peters, Edith Elkind Department of Computer Science

More information

Testing Stability Properties in Graphical Hedonic Games

Testing Stability Properties in Graphical Hedonic Games Testing Stability Properties in Graphical Hedonic Games Hendrik Fichtenberger arxiv:1812.09249v1 [cs.gt] 21 Dec 2018 TU Dortmund, Germany hendrik.fichtenberger@tu-dortmund.de https://orcid.org/0000-0003-3246-5323

More information

Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals

Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals Core Stabilit in Hedonic Games among riends and Enemies: Impact of Neutrals Kazunori Ota 1, Nathanaël Barrot 1, Anisse Ismaili 1, Yuko Sakurai 2 and Makoto Yokoo 1 1 Kushu Universit, ukuoka 819-0395, Japan

More information

Learning Hedonic Games

Learning Hedonic Games Learning Hedonic Games Jakub Sliwinski and Yair Zick Abstract Coalitional stability in hedonic games has usually been considered in the setting where agent preferences are fully known. We consider the

More information

Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints

Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints Ayumi Igarashi Kyushu University Fukuoka, Japan igarashi@agent.inf.kyushu-u.ac.jp Dominik Peters University of Oxford Oxford,

More information

On Proportional Allocation in Hedonic Games

On Proportional Allocation in Hedonic Games On Proportional Allocation in Hedonic Games Martin Hoefer and Wanchote Jiamjitrak Institute for Computer Science, Goethe University Frankfurt, Germany. mhoefer@cs.uni-frankfurt.de Department of Computer

More information

Inducing stability in hedonic games

Inducing stability in hedonic games School of Economics Working Paper 2016-09 SCHOOL OF ECONOMICS Inducing stability in hedonic games by Dinko Dimitrov* Emiliya A. Lazarova** Shao-Chin Sung*** *Chair of Economic Theory, Saarland University

More information

On the Nash Stability in the Hedonic Coalition Formation Games

On the Nash Stability in the Hedonic Coalition Formation Games On the Nash Stability in the Hedonic Coalition Formation Games Cengis Hasan, Eitan Altman, Jean-Marie Gorce Inria, University of Lyon, INSA-Lyon, 6 Avenue des Arts 6961 Villeurbanne Cedex, France Phone:

More information

Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints

Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints Pareto-Optimal Allocation of Indivisible Goods with Connectivity Constraints Ayumi Igarashi Kyushu University Fukuoka, Japan igarashi@agent.inf.kyushu-u.ac.jp Dominik Peters University of Oxford Oxford,

More information

Fair Division of Indivisible Goods on a Graph II

Fair Division of Indivisible Goods on a Graph II Sylvain Bouveret LIG Grenoble INP, Univ. Grenoble-Alpes, France Katarína Cechlárová P.J. Šafárik University, Slovakia Edith Elkind, Ayumi Igarashi, Dominik Peters University of Oxford, UK Advances in Fair

More information

Combining Voting Rules Together

Combining Voting Rules Together Combining Voting Rules Together Nina Narodytska and Toby Walsh and Lirong Xia 3 Abstract. We propose a simple method for combining together voting rules that performs a run-off between the different winners

More information

Forming Coalitions and Facilitating Relationships for Completing Tasks in Social Networks

Forming Coalitions and Facilitating Relationships for Completing Tasks in Social Networks Forming Coalitions and Facilitating Relationships for Completing Tasks in Social Networks Liat Sless Dept of Computer Science Bar Ilan University, Israel slasli@cs.biu.ac.il Noam Hazon Dept of Computer

More information

Efficient Algorithms for Hard Problems on Structured Electorates

Efficient Algorithms for Hard Problems on Structured Electorates Aspects of Computation 2017 Efficient Algorithms for Hard Problems on Structured Electorates Neeldhara Misra The standard Voting Setup and some problems that we will encounter. The standard Voting Setup

More information

Fractional Hedonic Games

Fractional Hedonic Games Fractional Hedonic Games HARIS AZIZ, Data61, CSIRO and UNSW Australia FLORIAN BRANDL, Technical University of Munich FELIX BRANDT, Technical University of Munich PAUL HARRENSTEIN, University of Oxford

More information

Maskin monotonic coalition formation rules respecting group rights

Maskin monotonic coalition formation rules respecting group rights Maskin monotonic coalition formation rules respecting group rights Koji TAKAMIYA Economics, Niigata University January 7, 2010 Abstract This paper examines a class of coalition formation problems where

More information

A Generic Approach to Coalition Formation

A Generic Approach to Coalition Formation A Generic Approach to Coalition Formation Krzysztof R. Apt and Andreas Witzel Abstract We propose an abstract approach to coalition formation by focusing on partial preference relations between partitions

More information

Coalitional Affinity Games and the Stability Gap

Coalitional Affinity Games and the Stability Gap Coalitional Affinity Games and the Stability Gap Simina Brânzei Cheriton School of Computer Science University of Waterloo Waterloo, Canada sbranzei@uwaterloo.ca Kate Larson Cheriton School of Computer

More information

Lecture 10 Non-Transferable Utility Games (NTU games)

Lecture 10 Non-Transferable Utility Games (NTU games) Lecture 10 Non-Transferable Utility Games (NTU games) An underlying assumption behind a TU game is that agents have a common scale to measure the worth of a coalition. Such a scale may not exist in every

More information

arxiv: v1 [cs.gt] 2 Jan 2012

arxiv: v1 [cs.gt] 2 Jan 2012 Testing Substitutability of Weak Preferences Haris Aziz, Markus Brill, Paul Harrenstein Institut für Informatik, Technische Universität München, 85748 Garching bei München, Germany arxiv:1201.0432v1 [cs.gt]

More information

Anna Bogomolnaia and Matthew O. Jackson. April, This Revision: January Forthcoming: Games and Economic Behavior.

Anna Bogomolnaia and Matthew O. Jackson. April, This Revision: January Forthcoming: Games and Economic Behavior. The Stability of Hedonic Coalition Structures Anna Bogomolnaia and Matthew O. Jackson April, 1998 This Revision: January 2001 Forthcoming: Games and Economic Behavior Abstract We consider the partitioning

More information

Computational Properties of Quasi-Strict Equilibrium

Computational Properties of Quasi-Strict Equilibrium Computational roperties of Quasi-Strict Equilibrium Felix Brandt and Felix Fischer Institut für Informatik, Universität München 80538 München, Germany {brandtf,fischerf}@tcs.ifi.lmu.de Abstract. This paper

More information

Social Network Games

Social Network Games CWI and University of Amsterdam Based on joint orks ith Evangelos Markakis and Sunil Simon The model Social netork ([Apt, Markakis 2011]) Weighted directed graph: G = (V,,), here V: a finite set of agents,

More information

CS 781 Lecture 9 March 10, 2011 Topics: Local Search and Optimization Metropolis Algorithm Greedy Optimization Hopfield Networks Max Cut Problem Nash

CS 781 Lecture 9 March 10, 2011 Topics: Local Search and Optimization Metropolis Algorithm Greedy Optimization Hopfield Networks Max Cut Problem Nash CS 781 Lecture 9 March 10, 2011 Topics: Local Search and Optimization Metropolis Algorithm Greedy Optimization Hopfield Networks Max Cut Problem Nash Equilibrium Price of Stability Coping With NP-Hardness

More information

On Heterogeneous Size of Stable Jurisdictions

On Heterogeneous Size of Stable Jurisdictions On Heterogeneous Size of Stable Jurisdictions Anna Bogomolnaia Michel Le Breton Alexei Savvateev Shlomo Weber January 2005 (Very Preliminary Notes Not to Quote!) Abstract This paper examines a model of

More information

Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information

Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information Sofie De Clercq 1, Steven Schockaert 2, Martine De Cock 1,3, and Ann Nowé 4 1 Dept. of Applied Math., CS & Stats, Ghent University,

More information

arxiv: v2 [cs.gt] 6 Jun 2017

arxiv: v2 [cs.gt] 6 Jun 2017 Sylvain Bouveret LIG - Grenoble INP, France sylvain.bouveret@imag.fr Fair Division of a Graph Katarína Cechlárová P.J. Šafárik University, Slovakia katarina.cechlarova@upjs.sk Edith Elkind University of

More information

On the Hardness and Existence of Quasi-Strict Equilibria

On the Hardness and Existence of Quasi-Strict Equilibria On the Hardness and Existence of Quasi-Strict Equilibria Felix Brandt and Felix Fischer Institut für Informatik, Universität München 80538 München, Germany {brandtf,fischerf}@tcs.ifi.lmu.de Abstract. This

More information

Housing Markets with Indifferences: a Tale of Two Mechanisms

Housing Markets with Indifferences: a Tale of Two Mechanisms Housing Markets with Indifferences: a Tale of Two Mechanisms Haris Aziz and Bart de Keijzer Abstract The (Shapley-Scarf) housing market is a well-studied and fundamental model of an exchange economy. Each

More information

On Domains That Admit Well-behaved Strategy-proof Social Choice Functions

On Domains That Admit Well-behaved Strategy-proof Social Choice Functions On Domains That Admit Well-behaved Strategy-proof Social Choice Functions Shurojit Chatterji, Remzi Sanver and Arunava Sen May 2010 Paper No. 07-2010 ANY OPINIONS EXPRESSED ARE THOSE OF THE AUTHOR(S) AND

More information

Participation Incentives in Randomized Social Choice

Participation Incentives in Randomized Social Choice Participation Incentives in Randomized Social Choice Haris Aziz Data61 and UNSW, Sydney, Australia arxiv:1602.02174v2 [cs.gt] 8 Nov 2016 Abstract When aggregating preferences of agents via voting, two

More information

Fair Division of a Graph

Fair Division of a Graph Sylvain Bouveret LIG - Grenoble INP, France sylvain.bouveret@imag.fr Fair Division of a Graph Katarína Cechlárová P.J. Šafárik University, Slovakia katarina.cechlarova@upjs.sk Edith Elkind University of

More information

Mechanism Design: Implementation. Game Theory Course: Jackson, Leyton-Brown & Shoham

Mechanism Design: Implementation. Game Theory Course: Jackson, Leyton-Brown & Shoham Game Theory Course: Jackson, Leyton-Brown & Shoham Bayesian Game Setting Extend the social choice setting to a new setting where agents can t be relied upon to disclose their preferences honestly Start

More information

4. How to prove a problem is NPC

4. How to prove a problem is NPC The reducibility relation T is transitive, i.e, A T B and B T C imply A T C Therefore, to prove that a problem A is NPC: (1) show that A NP (2) choose some known NPC problem B define a polynomial transformation

More information

Multiagent Systems Motivation. Multiagent Systems Terminology Basics Shapley value Representation. 10.

Multiagent Systems Motivation. Multiagent Systems Terminology Basics Shapley value Representation. 10. Multiagent Systems July 2, 2014 10. Coalition Formation Multiagent Systems 10. Coalition Formation B. Nebel, C. Becker-Asano, S. Wöl Albert-Ludwigs-Universität Freiburg July 2, 2014 10.1 Motivation 10.2

More information

arxiv: v1 [cs.gt] 1 May 2017

arxiv: v1 [cs.gt] 1 May 2017 Rank Maximal Equal Contribution: a Probabilistic Social Choice Function Haris Aziz and Pang Luo and Christine Rizkallah arxiv:1705.00544v1 [cs.gt] 1 May 2017 1 Data61, CSIRO and UNSW, Sydney, NSW 2033,

More information

Housing Markets with Indifferences: a Tale of Two Mechanisms

Housing Markets with Indifferences: a Tale of Two Mechanisms Housing Markets with Indifferences: a Tale of Two Mechanisms Haris Aziz, Bart de Keijzer Institut für Informatik, Technische Universität München, 80538 München, Germany CWI Amsterdam, 1098 XG Amsterdam,

More information

The core-partition of hedonic games

The core-partition of hedonic games The core-partition of hedonic games Vincent Iehlé To cite this version: Vincent Iehlé. The core-partition of hedonic games. Cahiers de la Maison des Sciences Economiques 2005.91 - ISSN : 1624-0340. 2005.

More information

Optimal Reallocation under Additive and Ordinal Preferences

Optimal Reallocation under Additive and Ordinal Preferences Optimal Reallocation under Additive and Ordinal Preferences Haris Aziz, Péter Biró, Jérôme Lang, Julien Lesca, and Jérôme Monnot Abstract Reallocating resources to get mutually beneficial outcomes is a

More information

Stability of Jurisdiction Structures under the Equal Share and Median Rules

Stability of Jurisdiction Structures under the Equal Share and Median Rules Stability of Jurisdiction Structures under the Equal Share and Median Rules Anna Bogomolnaia Michel Le Breton Alexei Savvateev Shlomo Weber April 2005 Abstract In this paper we consider a model with multiple

More information

The Adjusted Winner Procedure : Characterizations and Equilibria

The Adjusted Winner Procedure : Characterizations and Equilibria The Adjusted Winner Procedure : Characterizations and Equilibria Simina Brânzei Aarhus University, Denmark Joint with Haris Aziz, Aris Filos-Ratsikas, and Søren Frederiksen Background Adjusted Winner:

More information

Political Economy of Institutions and Development: Problem Set 1. Due Date: Thursday, February 23, in class.

Political Economy of Institutions and Development: Problem Set 1. Due Date: Thursday, February 23, in class. Political Economy of Institutions and Development: 14.773 Problem Set 1 Due Date: Thursday, February 23, in class. Answer Questions 1-3. handed in. The other two questions are for practice and are not

More information

arxiv:cs/ v1 [cs.gt] 29 May 2006

arxiv:cs/ v1 [cs.gt] 29 May 2006 Stable partitions in coalitional games arxiv:cs/0605132v1 [cs.gt] 29 May 2006 Krzysztof R. Apt Tadeusz Radzik Abstract We propose a notion of a stable partition in a coalitional game that is parametrized

More information

On the Dimensionality of Voting Games

On the Dimensionality of Voting Games Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (2008) On the Dimensionality of Voting Games Edith Elkind Electronics & Computer Science University of Southampton Southampton

More information

The Axiomatic Method in Social Choice Theory:

The Axiomatic Method in Social Choice Theory: The Axiomatic Method in Social Choice Theory: Preference Aggregation, Judgment Aggregation, Graph Aggregation Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss

More information

Combinatorial Agency of Threshold Functions

Combinatorial Agency of Threshold Functions Combinatorial Agency of Threshold Functions Shaili Jain 1 and David C. Parkes 2 1 Yale University, New Haven, CT shaili.jain@yale.edu 2 Harvard University, Cambridge, MA parkes@eecs.harvard.edu Abstract.

More information

Coordination Games on Graphs

Coordination Games on Graphs Noname manuscript No. (will be inserted by the editor) Coordination Games on Graphs Krzysztof R. Apt Bart de Keijzer Mona Rahn Guido Schäfer Sunil Simon the date of receipt and acceptance should be inserted

More information

Dependencies between players in Boolean games

Dependencies between players in Boolean games Dependencies between players in Boolean games Elise Bonzon, Marie-Christine Lagasquie-Schiex, and Jérôme Lang IRIT, UPS, F-31062 Toulouse Cédex 9, France {bonzon,lagasq,lang}@irit.fr Copyright c 2007:

More information

Binary Aggregation with Integrity Constraints

Binary Aggregation with Integrity Constraints Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Binary Aggregation with Integrity Constraints Umberto Grandi and Ulle Endriss Institute for Logic, Language and

More information

Computational Complexity of Bayesian Networks

Computational Complexity of Bayesian Networks Computational Complexity of Bayesian Networks UAI, 2015 Complexity theory Many computations on Bayesian networks are NP-hard Meaning (no more, no less) that we cannot hope for poly time algorithms that

More information

Toward the Complexity of the Existence of Wonderfully Stable Partitions and Strictly Core Stable Coalition Structures in Hedonic Games

Toward the Complexity of the Existence of Wonderfully Stable Partitions and Strictly Core Stable Coalition Structures in Hedonic Games Toward the Complexity of the Existence of Wonderfully Stale Partitions and Strictly Core Stale Coalition Structures in Hedonic Games Anja Rey Jörg Rothe Hilmar Schadrack Lena Schend Astract We study the

More information

Binary Aggregation with Integrity Constraints

Binary Aggregation with Integrity Constraints Binary Aggregation with Integrity Constraints Umberto Grandi and Ulle Endriss Institute for Logic, Language and Computation, University of Amsterdam u.grandi@uva.nl, ulle.endriss@uva.nl Abstract We consider

More information

arxiv: v1 [cs.gt] 29 Mar 2014

arxiv: v1 [cs.gt] 29 Mar 2014 Testing Top Monotonicity Haris Aziz NICTA and UNSW Australia, Kensington 2033, Australia arxiv:1403.7625v1 [cs.gt] 29 Mar 2014 Abstract Top monotonicity is a relaxation of various well-known domain restrictions

More information

Rotating Proposer Mechanisms for Team Formation

Rotating Proposer Mechanisms for Team Formation Rotating Proposer Mechanisms for Team Formation Jian Lou 1, Martin Van der Linden 2, Pranav Batra 1, Chen Hajaj 1, Gregory Leo 2, Yevgeniy Vorobeychik 1, and Myrna Wooders 2 1 Department of Electrical

More information

CS 798: Multiagent Systems

CS 798: Multiagent Systems CS 798: Multiagent Systems and Utility Kate Larson Cheriton School of Computer Science University of Waterloo January 6, 2010 Outline 1 Self-Interested Agents 2 3 4 5 Self-Interested Agents We are interested

More information

Group Activity Selection Problem

Group Activity Selection Problem Group Activity Selection Problem Andreas Darmann 1, Edith Elkind 2, Sascha Kurz 3, Jérôme Lang 4, Joachim Schauer 1, and Gerhard Woeginger 5 1 Universität Graz, Austria 2 Nanyang Technological University,

More information

Maximin Share Allocations on Cycles

Maximin Share Allocations on Cycles Maximin Share Allocations on Cycles Zbigniew Lonc 1, Miroslaw Truszczynski 2 1 Warsaw University of Technology, Poland 2 University of Kentucky, USA zblonc@mini.pw.edu.pl, mirek@cs.uky.edu Abstract The

More information

Symmetries and the Complexity of Pure Nash Equilibrium

Symmetries and the Complexity of Pure Nash Equilibrium Symmetries and the Complexity of Pure Nash Equilibrium Felix Brandt a Felix Fischer a, Markus Holzer b a Institut für Informatik, Universität München, Oettingenstr. 67, 80538 München, Germany b Institut

More information

Lecture 4: Coordinating Self-Interested Agents

Lecture 4: Coordinating Self-Interested Agents Social Laws for Multi-Agent Systems: Logic and Games Lecture 4: Coordinating Self-Interested Agents Thomas Ågotnes Department of Information Science and Media Studies University of Bergen, Norway NII Tokyo

More information

Stabilizing Boolean Games by Sharing Information

Stabilizing Boolean Games by Sharing Information John Grant Sarit Kraus Michael Wooldridge Inon Zuckerman Stabilizing Boolean Games by Sharing Information Abstract. We address the issue of manipulating games through communication. In the specific setting

More information

Equilibrium Refinement through Negotiation in Binary Voting

Equilibrium Refinement through Negotiation in Binary Voting Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015) Equilibrium Refinement through Negotiation in Binary Voting Umberto Grandi University of Toulouse

More information

Economics Bulletin, 2012, Vol. 32 No. 1 pp Introduction. 2. The preliminaries

Economics Bulletin, 2012, Vol. 32 No. 1 pp Introduction. 2. The preliminaries 1. Introduction In this paper we reconsider the problem of axiomatizing scoring rules. Early results on this problem are due to Smith (1973) and Young (1975). They characterized social welfare and social

More information

Electric Boolean Games

Electric Boolean Games Electric Boolean Games Redistribution Schemes for Resource-Bounded Agents Paul Harrenstein Dept. of Computer Science University of Oxford paulhar@cs.ox.ac.uk Paolo Turrini Dept. of Computing Imperial College

More information

Algorithmic Game Theory

Algorithmic Game Theory Nash Equilibria in Zero-Sum Games Algorithmic Game Theory Algorithmic game theory is not satisfied with merely an existence result for an important solution concept such as Nash equilibrium in mixed strategies.

More information

9. PSPACE 9. PSPACE. PSPACE complexity class quantified satisfiability planning problem PSPACE-complete

9. PSPACE 9. PSPACE. PSPACE complexity class quantified satisfiability planning problem PSPACE-complete Geography game Geography. Alice names capital city c of country she is in. Bob names a capital city c' that starts with the letter on which c ends. Alice and Bob repeat this game until one player is unable

More information

How Credible is the Prediction of a Party-Based Election?

How Credible is the Prediction of a Party-Based Election? How Credible is the Prediction of a Party-Based Election? Jiong Guo Shandong University School of Computer Science and Technology SunHua Road 1500, 250101 Jinan, China. jguo@mmci.unisaarland.de Yash Raj

More information

9. PSPACE. PSPACE complexity class quantified satisfiability planning problem PSPACE-complete

9. PSPACE. PSPACE complexity class quantified satisfiability planning problem PSPACE-complete 9. PSPACE PSPACE complexity class quantified satisfiability planning problem PSPACE-complete Lecture slides by Kevin Wayne Copyright 2005 Pearson-Addison Wesley Copyright 2013 Kevin Wayne http://www.cs.princeton.edu/~wayne/kleinberg-tardos

More information

1 Basic Game Modelling

1 Basic Game Modelling Max-Planck-Institut für Informatik, Winter 2017 Advanced Topic Course Algorithmic Game Theory, Mechanism Design & Computational Economics Lecturer: CHEUNG, Yun Kuen (Marco) Lecture 1: Basic Game Modelling,

More information

On the Tradeoff between Economic Efficiency and Strategyproofness in Randomized Social Choice

On the Tradeoff between Economic Efficiency and Strategyproofness in Randomized Social Choice On the Tradeoff between Economic Efficiency and Strategyproofness in Randomized Social Choice Haris Aziz NICTA and UNSW Australia haris.aziz@nicta.com.au Felix Brandt TU München Germany brandtf@in.tum.de

More information

Fractional Hedonic Games: Individual and Group Stability

Fractional Hedonic Games: Individual and Group Stability Fractional Hedonic Game: Individual and Group Stability Florian Brandl Intitut für Informatik TU München, Germany brandlfl@in.tum.de Felix Brandt Intitut für Informatik TU München, Germany brandtf@in.tum.de

More information

Endre Boros b Vladimir Gurvich d ;

Endre Boros b Vladimir Gurvich d ; R u t c o r Research R e p o r t On effectivity functions of game forms a Endre Boros b Vladimir Gurvich d Khaled Elbassioni c Kazuhisa Makino e RRR 03-2009, February 2009 RUTCOR Rutgers Center for Operations

More information

Computational Social Choice: Spring 2015

Computational Social Choice: Spring 2015 Computational Social Choice: Spring 2015 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss 1 Plan for Today Last time we introduced the axiomatic method for

More information

Teams in Online Scheduling Polls: Game-Theoretic Aspects

Teams in Online Scheduling Polls: Game-Theoretic Aspects Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) Teams in Online Scheduling Polls: Game-Theoretic Aspects Robert Bredereck, 1 Jiehua Chen, 2 Rolf Niedermeier 2 1 University

More information

Game Theory DR. ÖZGÜR GÜRERK UNIVERSITY OF ERFURT WINTER TERM 2012/13. Strict and nonstrict equilibria

Game Theory DR. ÖZGÜR GÜRERK UNIVERSITY OF ERFURT WINTER TERM 2012/13. Strict and nonstrict equilibria Game Theory 2. Strategic Games contd. DR. ÖZGÜR GÜRERK UNIVERSITY OF ERFURT WINTER TERM 2012/13 Strict and nonstrict equilibria In the examples we have seen so far: A unilaterally deviation from Nash equilibrium

More information

Stackelberg Voting Games: Computational Aspects and Paradoxes

Stackelberg Voting Games: Computational Aspects and Paradoxes Stackelberg Voting Games: Computational Aspects and Paradoxes Lirong Xia Department of Computer Science Duke University Durham, NC 7708, USA lxia@cs.duke.edu Vincent Conitzer Department of Computer Science

More information

Locating public facilities by majority: Stability, consistency and group formation

Locating public facilities by majority: Stability, consistency and group formation Games and Economic Behavior 56 (2006) 185 200 www.elsevier.com/locate/geb Note Locating public facilities by majority: Stability, consistency and group formation Salvador Barberà, Carmen Beviá Departament

More information

Social Dichotomy Functions (extended abstract)

Social Dichotomy Functions (extended abstract) Social Dichotomy Functions (extended abstract) Conal Duddy, Nicolas Houy, Jérôme Lang, Ashley Piggins, and William S. Zwicker February 22, 2014 1 What is a Social Dichotomy Function? A dichotomy A = (A

More information

Voting on Multiattribute Domains with Cyclic Preferential Dependencies

Voting on Multiattribute Domains with Cyclic Preferential Dependencies Voting on Multiattribute Domains with Cyclic Preferential Dependencies Lirong Xia Department of Computer Science Duke University Durham, NC 27708, USA lxia@cs.duke.edu Vincent Conitzer Department of Computer

More information

Iterated Strict Dominance in Pure Strategies

Iterated Strict Dominance in Pure Strategies Iterated Strict Dominance in Pure Strategies We know that no rational player ever plays strictly dominated strategies. As each player knows that each player is rational, each player knows that his opponents

More information

Computational Aspects of Extending the Shapley Value to Coalitional Games with Externalities 1

Computational Aspects of Extending the Shapley Value to Coalitional Games with Externalities 1 Computational Aspects of Extending the Shapley Value to Coalitional Games with Externalities Tomasz Michalak, Talal Rahwan, Dorota Marciniak 2,3, Marcin Szamotulski 2,4, Nicholas R. Jennings School of

More information

Optimal Reallocation under Additive and Ordinal Preferences

Optimal Reallocation under Additive and Ordinal Preferences Optimal Reallocation under Additive and Ordinal Preferences Haris Aziz Data61 and UNSW Sydney, Australia haris.aziz@nicta.com.au Péter Biró Hungarian Academy of Sciences Budapest, Hungary biro.peter@krtk.mta.hu

More information

An Introduction to Social and Economic Networks. Lecture 4, Part II

An Introduction to Social and Economic Networks. Lecture 4, Part II An Introduction to Social and Economic Networks Lecture 4, Part II Michael D Ko nig University of Zurich Department of Economics 12 13 June 2017 Outline Strategic Network Formation Pairwise Stability Nash

More information

Manipulating Games by Sharing Information

Manipulating Games by Sharing Information John Grant Sarit Kraus Michael Wooldridge Inon Zuckerman Manipulating Games by Sharing Information Abstract. We address the issue of manipulating games through communication. In the specific setting we

More information

Universal Pareto Dominance and Welfare for Plausible Utility Functions

Universal Pareto Dominance and Welfare for Plausible Utility Functions Universal Pareto Dominance and Welfare for Plausible Utility Functions Haris Aziz NICTA and UNSW Sydney, Australia haris.aziz@nicta.com.au Florian Brandl TU München Munich, Germany brandlfl@in.tum.de Felix

More information

On Threshold Models over Finite Networks

On Threshold Models over Finite Networks On Threshold Models over Finite Networks Elie M. Adam, Munther A. Dahleh, Asuman Ozdaglar Abstract We study a model for cascade effects over finite networks based on a deterministic binary linear threshold

More information

This is the author s final accepted version.

This is the author s final accepted version. Cechlárová, K., Eirinakis, P., Fleiner, T., Magos, D., Manlove, D., Mourtos, I., Ocel áková, E., and Rastegari, B. (2015) Pareto optimal matchings in many-to-many markets with ties. Lecture Notes in Computer

More information

Compact preference representation and Boolean games

Compact preference representation and Boolean games Compact preference representation and Boolean games Elise Bonzon Marie-Christine Lagasquie-Schiex Jérôme Lang Bruno Zanuttini Abstract Game theory is a widely used formal model for studying strategical

More information