Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Hossein Khani

dblp:167/3902 · DBLP profile ↗
← Back
3ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
2 papers
Algorithmic game theory and mechanism design · 94% Computational complexity · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithmic game theory and mechanism design › social choice › preference aggregation
social ranking
0.722019
An Ordinal Banzhaf Index for Social Ranking · IJCAI 2019
Ceteris paribus majority for social ranking · IJCAI 2018
Algorithmic game theory and mechanism design › social choice › voting
majority voting
0.312018
Ceteris paribus majority for social ranking · IJCAI 2018
Algorithmic game theory and mechanism design
social choice
0.312018
Ceteris paribus majority for social ranking · IJCAI 2018
Algorithmic game theory and mechanism design
cooperative game theory
0.112019
An Ordinal Banzhaf Index for Social Ranking · IJCAI 2019
Computational complexity › constraint satisfaction
domain restrictions
0.112018
Ceteris paribus majority for social ranking · IJCAI 2018
Algorithmic game theory and mechanism design › social choice › restricted preference domains
single-peaked preferences
0.112018
Ceteris paribus majority for social ranking · IJCAI 2018

Methods — techniques the papers use, named apart from their topics

axiomatic characterization · 0.4axiomatic analysis · 0.3
YearPublicationVenuePosition
2019 An Ordinal Banzhaf Index for Social Ranking
abstract
We introduce a new method to rank single elements given an order over their sets. For this purpose, we extend the game theoretic notion of marginal contribution and of Banzhaf index to our ordinal framework. Furthermore, we characterize the resulting ordinal Banzhaf solution by means of a set of properties inspired from those used to axiomatically characterize another solution from the literature: the ceteris paribus majority. Finally, we show that the computational procedure for these two social ranking solutions boils down to a weighted combination of comparisons over the same subsets of elements.
Hossein Khani, Stefano Moretti 0001, Meltem Öztürk
IJCAI1
2018 Ceteris paribus majority for social ranking
abstract
We study the problem of finding a social ranking over individuals given a ranking over coalitions formed by them. We investigate the use of a ceteris paribus majority principle as a social ranking solution inspired from the classical axioms of social choice theory. Faced with a Condorcet-like paradox, we analyze the consequences of restricting the domain according to an adapted version of single-peakedness. We conclude with a discussion on different interpretations of incompleteness of the ranking over coalitions and its exploitation for defining new social rankings, providing a new rule as an example.
Adrian Haret, Hossein Khani, Stefano Moretti 0001, Meltem Öztürk
IJCAI2
2015 Security Games with Ambiguous Beliefs of Agents
Hossein Khani, Mohsen Afsharchi
PRIMA1