Demo Data from VLDB 2026 / reviewers in the wild / expert
Kazunori Ohta
dblp:204/2983 · also Kazunori Ota
· DBLP profile ↗
3ranked-venue papers
1as 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 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 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
3 papers |
Algorithmic game theory and mechanism design · 78% Computational complexity · 22% | |
| Artificial intelligence
1 paper |
Multi-agent systems · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design
coalition formation |
1.0 | 3 | 2019 | Robustness against Agent Failure in Hedonic Games · IJCAI 2019 Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity · AAAI 2019 Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals · IJCAI 2017 |
Algorithmic game theory and mechanism design › coalition formation
hedonic games |
1.0 | 3 | 2019 | Robustness against Agent Failure in Hedonic Games · IJCAI 2019 Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity · AAAI 2019 Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals · IJCAI 2017 |
Computational complexity
game complexity |
0.7 | 2 | 2019 | Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity · AAAI 2019 Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals · IJCAI 2017 |
Knowledge, reasoning and agents › Multi-agent systems
coalition formation |
0.4 | 1 | 2019 | Robustness against Agent Failure in Hedonic Games · IJCAI 2019 |
Knowledge, reasoning and agents › Multi-agent systems › coalition formation
hedonic games |
0.4 | 1 | 2019 | Robustness against Agent Failure in Hedonic Games · IJCAI 2019 |
Algorithmic game theory and mechanism design › cooperative game theory
core stability |
0.3 | 1 | 2017 | Core Stability in Hedonic Games among Friends and Enemies: Impact of Neutrals · IJCAI 2017 |
Methods — techniques the papers use, named apart from their topics
game theory · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Unknown Agents in Friends Oriented Hedonic Games: Stability and ComplexityabstractWe study hedonic games under friends appreciation, where each agent considers other agents friends, enemies, or unknown agents. Although existing work assumed that unknown agents have no impact on an agent’s preference, it may be that her preference depends on the number of unknown agents in her coalition. We extend the existing preference, friends appreciation, by proposing two alternative attitudes toward unknown agents, extraversion and introversion, depending on whether unknown agents have a slightly positive or negative impact on preference. When each agent prefers coalitions with more unknown agents, we show that both core stable outcomes and individually stable outcomes may not exist. We also prove that deciding the existence of the core and the existence of an individual stable coalition structure are respectively NPNP-complete and NP-complete. Nathanaël Barrot, Kazunori Ohta, Yuko Sakurai, Makoto Yokoo |
AAAI | 2 |
| 2019 | Robustness against Agent Failure in Hedonic GamesabstractIn many real-world scenarios, stability is a key property in coalition formation to cope with uncertainty. In this paper, we propose a novel criterion that reshapes stability from robustness aspect. Specifically, we consider the problem of how stability can be maintained even after a small number of players leave the entire game, in the context of hedonic games. While one cannot guarantee the existence of robust outcomes with respect to most of the stability requirements, we identify several classes of friend-oriented and enemy-oriented games for which one can find a desired outcome efficiently. We also show that a symmetric additively hedonic game always admits an outcome that is individually stable and robust with respect to individual rationality. Ayumi Igarashi 0001, Kazunori Ohta, Yuko Sakurai, Makoto Yokoo |
IJCAI | 2 |
| 2017 | Core Stability in Hedonic Games among Friends and Enemies: Impact of NeutralsabstractWe investigate hedonic games under enemies aversion and friends appreciation, where every agent considers other agents as either a friend or an enemy. We extend these simple preferences by allowing each agent to also consider other agents to be neutral. Neutrals have no impact on her preference, as in a graphical hedonic game.Surprisingly, we discover that neutral agents do not simplify matters, but cause complexity. We prove that the core can be empty under enemies aversion and the strict core can be empty under friends appreciation. Furthermore, we show that under both preferences, deciding whether the strict core is non-empty, is NP^NP-complete. This complexity extends to the core under enemies aversion. We also show that under friends appreciation, we can always find a core stable coalition structure in polynomial time. Kazunori Ohta, Nathanaël Barrot, Anisse Ismaili, Yuko Sakurai, Makoto Yokoo |
IJCAI | 1 |