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Vitaliy Batusov

dblp:213/4982 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › causal reasoning
actual causality
0.312018
Situation Calculus Semantics for Actual Causality · AAAI 2018
Knowledge, reasoning and agents › Knowledge representation and reasoning
causal reasoning
0.312018
Situation Calculus Semantics for Actual Causality · AAAI 2018
Logic in computer science › knowledge representation and reasoning
action theory
0.312018
Situation Calculus Semantics for Actual Causality · AAAI 2018
Logic in computer science › knowledge representation and reasoning
situation calculus
0.312018
Situation Calculus Semantics for Actual Causality · AAAI 2018
Automata and formal languages
formal translations
0.112018
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
YearPublicationVenuePosition
2018 Situation Calculus Semantics for Actual Causality
abstract
The 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
AAAI1