Demo Data from EDBT 2026 / reviewers in the wild / expert
Vitaliy Batusov
dblp:213/4982
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 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
1 paper |
Logic in computer science · 87% Automata and formal languages · 13% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › causal reasoning
actual causality |
0.3 | 1 | 2018 | Situation Calculus Semantics for Actual Causality · AAAI 2018 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
causal reasoning |
0.3 | 1 | 2018 | Situation Calculus Semantics for Actual Causality · AAAI 2018 |
Logic in computer science › knowledge representation and reasoning
action theory |
0.3 | 1 | 2018 | Situation Calculus Semantics for Actual Causality · AAAI 2018 |
Logic in computer science › knowledge representation and reasoning
situation calculus |
0.3 | 1 | 2018 | Situation Calculus Semantics for Actual Causality · AAAI 2018 |
Automata and formal languages
formal translations |
0.1 | 1 | 2018 | Situation Calculus Semantics for Actual Causality · AAAI 2018 |
Methods — techniques the papers use, named apart from their topics
structural equations · 0.7situation calculus · 0.7formal translation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Situation Calculus Semantics for Actual CausalityabstractThe definitions of actual cause given by Pearl and Halpern (HP) in the framework of causal models provided vital computational insight into an old philosophical problem but by no means resolved it. One source of concern is the lack of objective criteria for selecting possible worlds to be admitted into the counterfactual analysis, epitomized by the competition between multiple proposals by HP and others. Another concern is due to the modest expressivity of propositional-level structural equations which limits their applicability and, arguably, contributes to the the former problem. We tackle both of these issues using a novel approach. We build our definition of actual cause from first principles in the context of atemporal situation calculus (SC) action theories with sequential actions. As a result, we can successfully identify actual causes of conditions expressed in first-order logic. We validate the HP approach by providing a formal translation from causal models to SC and proving a relationship between our definitions of actual cause and that of HP. Using well-known and new examples, we show that long-standing disagreements between alternative definitions of actual causality can be mitigated by faithful SC modelling of the domains. Vitaliy Batusov, Mikhail Soutchanski |
AAAI | 1 |