Algorithmic Decision Theory

Table of Contents

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   Book Overview
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   Chapter 1 Beyond Theory and Data in Preference Modeling: Bringing Humans into the Loop
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   Chapter 2 Reasoning with Preference Trees over Combinatorial Domains
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   Chapter 3 Algorithmic Decision Theory
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   Chapter 4 Towards Decision Making via Expressive Probabilistic Ontologies
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   Chapter 5 Manipulation of k -Approval in Nearly Single-Peaked Electorates
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   Chapter 6 Manipulation and Bribery When Aggregating Ranked Preferences
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   Chapter 7 Complexity of Manipulative Actions When Voting with Ties
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   Chapter 8 Bayesian Network Structure Learning with Messy Inputs: The Case of Multiple Incomplete Datasets and Expert Opinions
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    Chapter 9 Reducing the Number of Queries in Interactive Value Iteration
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    Chapter 10 Learning the Parameters of a Non Compensatory Sorting Model
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    Chapter 11 k -Agent Sufficiency for Multiagent Stochastic Physical Search Problems
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    Chapter 12 Geometry on the Utility Space
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    Chapter 13 Sequential Extensions of Causal and Evidential Decision Theory
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    Chapter 14 MOPIC Properties in the Representation of Preferences by a 2-Additive Choquet Integral
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    Chapter 15 Profitable Deviation Strong Equilibria
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    Chapter 16 Democratix: A Declarative Approach to Winner Determination
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    Chapter 17 Approximation Schemes for Multi-objective Optimization with Quadratic Constraints of Fixed CP-Rank
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    Chapter 18 Choquet Integral Versus Weighted Sum in Multicriteria Decision Contexts
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    Chapter 19 Exact Methods for Computing All Lorenz Optimal Solutions to Biobjective Problems
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    Chapter 20 On Possibly Optimal Tradeoffs in Multicriteria Spanning Tree Problems
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    Chapter 21 Verification in Attack-Incomplete Argumentation Frameworks
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    Chapter 22 Verification in Argument-Incomplete Argumentation Frameworks
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    Chapter 23 Complexity of Optimal Lobbying in Threshold Aggregation
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    Chapter 24 More Natural Models of Electoral Control by Partition
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    Chapter 25 Elections with Few Candidates: Prices, Weights, and Covering Problems
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    Chapter 26 Complexity of Bribery and Control for Uniform Premise-Based Quota Rules Under Various Preference Types
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    Chapter 27 Beyond Plurality: Truth-Bias in Binary Scoring Rules
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    Chapter 28 Winner Determination and Manipulation in Minisum and Minimax Committee Elections
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    Chapter 29 OWA-Based Extensions of the Chamberlin–Courant Rule
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    Chapter 30 Optimal Group Manipulation in Facility Location Problems
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    Chapter 31 Fairness and Rank-Weighted Utilitarianism in Resource Allocation
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    Chapter 32 Randomized Assignments for Barter Exchanges: Fairness vs. Efficiency
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    Chapter 33 CP-nets: From Theory to Practice
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    Chapter 34 Possible Optimality and Preference Elicitation for Decision Making
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    Chapter 35 Measuring Intrinsic Quality of Human Decisions
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    Chapter 36 Sequential Decision Making Under Uncertainty Using Ordinal Preferential Information
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    Chapter 37 Efficiency in Multi-objective Games
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    Chapter 38 Modeling, Learning and Reasoning with Qualitative Preferences