Demo Data from EDBT 2026 / reviewers in the wild / expert
Max Kramer 0001
dblp:195/8147
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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.
| Artificial intelligence
1 paper |
Trustworthy machine learning · 50% Knowledge representation and reasoning · 50% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › decision theory
decision-theoretic reasoning |
0.3 | 1 | 2017 | Moral Decision Making Frameworks for Artificial Intelligence · AAAI 2017 |
Machine learning › Trustworthy machine learning › ethical AI
moral decision making |
0.3 | 1 | 2017 | Moral Decision Making Frameworks for Artificial Intelligence · AAAI 2017 |
Algorithmic game theory and mechanism design
decision theory |
0.1 | 1 | 2017 | Moral Decision Making Frameworks for Artificial Intelligence · AAAI 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Moral Decision Making Frameworks for Artificial IntelligenceabstractThe generality of decision and game theory has enabled domain-independent progress in AI research. For example, a better algorithm for finding good policies in (PO)MDPs can be instantly used in a variety of applications. But such a general theory is lacking when it comes to moral decision making. For AI applications with a moral component, are we then forced to build systems based on many ad-hoc rules? In this paper we discuss possible ways to avoid this conclusion. Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Max Kramer 0001 |
AAAI | 5 |