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Algorithmic Decision Theory

Overview of attention for book
Cover of 'Algorithmic Decision Theory'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  4. Altmetric Badge
    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
  27. Altmetric Badge
    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
  37. Altmetric Badge
    Chapter 36 Sequential Decision Making Under Uncertainty Using Ordinal Preferential Information
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    Chapter 37 Efficiency in Multi-objective Games
  39. Altmetric Badge
    Chapter 38 Modeling, Learning and Reasoning with Qualitative Preferences
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Algorithmic Decision Theory
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-23114-3
ISBNs
978-3-31-923113-6, 978-3-31-923114-3
Authors

Toby Walsh

Editors

Walsh, Toby

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 8%
Student > Ph. D. Student 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Student > Master 1 8%
Other 0 0%
Unknown 8 62%
Readers by discipline Count As %
Engineering 3 23%
Decision Sciences 1 8%
Computer Science 1 8%
Unknown 8 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 October 2019.
All research outputs
#7,476,657
of 22,856,968 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,127 outputs
Outputs of similar age
#105,791
of 353,273 outputs
Outputs of similar age from Lecture notes in computer science
#115
of 257 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,273 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 257 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.