EDBT 2026 Demo / reviewers in the wild / expert
Tomasz Grabowski
dblp:266/5532
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021
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
1 paper |
Algorithmic game theory and mechanism design · 67% Graph algorithms and graph theory · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Algorithmic game theory and mechanism design
coalitional game |
0.6 | 1 | 2022 | Measuring power in coalitional games with friends, enemies and allies · Artif. Intell. 2022 |
Algorithmic game theory and mechanism design › social choice › voting power
power index |
0.6 | 1 | 2022 | Measuring power in coalitional games with friends, enemies and allies · Artif. Intell. 2022 |
Graph algorithms and graph theory › graph classes
signed graph |
0.6 | 1 | 2022 | Measuring power in coalitional games with friends, enemies and allies · Artif. Intell. 2022 |
Methods — techniques the papers use, named apart from their topics
pseudo-polynomial algorithm · 0.6axiomatic approach · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Measuring power in coalitional games with friends, enemies and alliesabstractWe extend the well-known model of graph-restricted games due to Myerson to signed graphs. In our model, it is possible to explicitly define not only that some players are friends (as in Myerson's model) but also that some other players are enemies. As such our games can express a wider range of situations, e.g., animosities between political parties. We define the value for signed graph games using the axiomatic approach that closely follows the celebrated characterization of the Myerson value. Furthermore, we propose an algorithm for computing an arbitrary semivalue, including the extension of the Myerson value proposed by us. We also develop a pseudo-polynomial algorithm for power indices in weighted voting games for signed graphs with bounded treewidth. Moreover, we consider signed graph games with a priori defined alliances (unions) between players and propose algorithms to compute the extension of the Owen value to this setting. Oskar Skibski, Takamasa Suzuki, Tomasz Grabowski, Yuko Sakurai, Tomasz P. Michalak, Makoto Yokoo |
Artif. Intell. | 3 |