Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alexander Bochman
dblp:84/4259
· DBLP profile ↗
26ranked-venue papers
26as first author
1since 2021 · last 2023
0000-0002-2674-410XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 22 · 22 first-author · 1 since 2021Theory of computation · 14 · 14 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 7 · 7 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.
| Artificial intelligence
19 papers |
Knowledge representation and reasoning · 71% Probabilistic and Bayesian machine learning · 17% Trustworthy machine learning · 12% | |
| Theoretical computer science
3 papers |
Logic in computer science · 100% |
Topics — the 17 heaviest of 17, 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 |
1.7 | 9 | 2023 | On Laws and Counterfactuals in Causal Reasoning · KR 2018 Actual Causality in a Logical Setting · IJCAI 2018 On Logics and Semantics of Indeterminate Causation · KR 2016 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
nonmonotonic reasoning |
0.9 | 8 | 2023 | Default Logic as a Species of Causal Reasoning · KR 2023 Default Theory of Defeasible Entailment · KR 2008 A causal approach to nonmonotonic reasoning · Artif. Intell. 2004 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › nonmonotonic reasoning
default logic |
0.8 | 3 | 2023 | Default Logic as a Species of Causal Reasoning · KR 2023 Default Theory of Defeasible Entailment · KR 2008 On the Relation Between Default and Modal Consequence Relations · KR 1994 |
Machine learning › Trustworthy machine learning › interpretability
causal explanation |
0.7 | 1 | 2023 | Default Logic as a Species of Causal Reasoning · KR 2023 |
Machine learning › Probabilistic and Bayesian machine learning › causal inference › causal model
structural equation models |
0.5 | 2 | 2023 | Actual Causality in a Logical Setting · IJCAI 2018 Default Logic as a Species of Causal Reasoning · KR 2023 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › causal reasoning
actual causality |
0.3 | 1 | 2018 | Actual Causality in a Logical Setting · IJCAI 2018 |
Logic in computer science
nonmonotonic reasoning |
0.3 | 3 | 2015 | Pearl's Causality in a Logical Setting · AAAI 2015 Credulous Nonmonotonic Inference · IJCAI 1999 On Bimodal Nonmonotonic Logics and Their Unimodal and Nonmodal Equivalents · IJCAI 1995 |
Machine learning › Probabilistic and Bayesian machine learning › causal inference › causal model
structural causal model |
0.2 | 1 | 2015 | Pearl's Causality in a Logical Setting · AAAI 2015 |
Machine learning › Probabilistic and Bayesian machine learning › stochastic processes
markov property |
0.2 | 1 | 2013 | The Markov Assumption: Formalization and Impact · IJCAI 2013 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
argumentation |
0.1 | 1 | 2005 | Propositional Argumentation and Causal Reasoning · IJCAI 2005 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic-based reasoning |
0.1 | 1 | 2005 | Propositional Argumentation and Causal Reasoning · IJCAI 2005 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief change |
0.1 | 2 | 2000 | A foundationalist view of the AGM theory of belief change · Artif. Intell. 2000 A Foundational Theory of Belief and Belief Change · Artif. Intell. 1999 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
logic programming |
0.0 | 1 | 2004 | A Causal Logic of Logic Programming · KR 2004 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › belief revision
AGM theory |
0.0 | 1 | 2000 | A foundationalist view of the AGM theory of belief change · Artif. Intell. 2000 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › nonmonotonic reasoning
default reasoning |
0.0 | 1 | 1998 | On the Relation Between Default and Modal Nonmonotonic Reasoning · Artif. Intell. 1998 |
Logic in computer science
modal logic |
0.0 | 1 | 1995 | On Bimodal Nonmonotonic Logics and Their Unimodal and Nonmodal Equivalents · IJCAI 1995 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › logic in computer science › logical foundations › non-classical logics › epistemic logic
modal logic |
0.0 | 1 | 1998 | On the Relation Between Default and Modal Nonmonotonic Reasoning · Artif. Intell. 1998 |
Methods — techniques the papers use, named apart from their topics
intervention · 0.4causal calculus · 0.4causal reasoning · 0.0foundationalism · 0.0belief revision · 0.0modal logic · 0.0default logic · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Default Logic as a Species of Causal ReasoningabstractWe will show that Reiter's default logic can be viewed as a particular instantiation of causal reasoning. This will be demonstrated by establishing back and forth translations between default theories and causal theories of the causal calculus under a particular nonmonotonic semantics of causal theories that will be called a default semantics. Moreover, it will be shown that Pearl's structural equation models can be viewed as default causal theories in this sense. We will discuss also some global consequences this representation could have for establishing a general role of causation in nonmonotonic reasoning. Alexander Bochman |
KR | 1 |
| 2018 | Actual Causality in a Logical SettingabstractWe provide a definition of actual causation in the logical framework of the causal calculus, which is based on a causal version of the well-known NESS (or INUS) condition. We compare our definition with other, mainly counterfactual, approaches on standard examples. On the way, we explore general capabilities of the logical representation for structural equation models of causation and beyond. Alexander Bochman |
IJCAI | 1 |
| 2018 | On Laws and Counterfactuals in Causal Reasoning
Alexander Bochman |
KR | 1 |
| 2016 | Abstract Dialectical Argumentation Among Close RelativesabstractWe establish a uniform modular translation of Abstract Dialectical Frameworks into the formalism of the causal calculus, and discuss the correspondences this translation creates between a number of semantics suggested for ADFs and their causal counterparts. Alexander Bochman |
COMMA | 1 |
| 2016 | On Logics and Semantics of Indeterminate Causation
Alexander Bochman |
KR | 1 |
| 2015 | Pearl's Causality in a Logical SettingabstractWe provide a logical representation of Pearl's structural causal models in the causal calculus of McCain and Turner (1997) and its first-order generalization by Lifschitz. It will be shown that, under this representation, the nonmonotonic semantics of the causal calculus describes precisely the solutions of the structural equations (the causal worlds of the causal model), while the causal logic from Bochman (2004) is adequate for describing the behavior of causal models under interventions (forming submodels). Alexander Bochman, Vladimir Lifschitz |
AAAI | 1 |
| 2014 | Dynamic Causal Calculus
Alexander Bochman |
KR | 1 |
| 2013 | The Markov Assumption: Formalization and Impact
Alexander Bochman |
IJCAI | 1 |
| 2008 | Default Theory of Defeasible Entailment
Alexander Bochman |
KR | 1 |
| 2007 | A Causal Theory of AbductionabstractThe article provides a uniform representation of abductive reasoning in the logical framework of causal inference relations. The representation covers in a single framework not only traditional, ‘classical’ forms of abduction, but also abductive reasoning in diagnosis, theories of actions and change, and abductive logic programming. Alexander Bochman |
J. Log. Comput. | 1 |
| 2005 | Propositional Argumentation and Causal Reasoning
Alexander Bochman |
IJCAI | 1 |
| 2004 | A Causal Logic of Logic Programming
Alexander Bochman |
KR | 1 |
| 2004 | A causal approach to nonmonotonic reasoning
Alexander Bochman |
Artif. Intell. | 1 |
| 2003 | A Logic For Causal Reasoning
Alexander Bochman |
IJCAI | 1 |
| 2003 | Collective Argumentation and Disjunctive Logic ProgrammingabstractAn extension of an abstract argumentation framework is introduced that provides a direct representation of global conflicts between sets of arguments. The extension, called collective argumentation, turns out to be suitable for representing semantics of disjunctive logic programs. Collective argumentation theories are shown to possess a four-valued semantics, and are closely related to multiple-conclusion (Scott) consequence relations. Two special kinds of collective argumentation, positive and negative argumentation, are considered in which the opponents can share their arguments. Negative argumentation turns out to be especially appropriate for analysing stable sets of arguments. Positive argumentation generalizes certain alternative semantics for logic programs. Alexander Bochman |
J. Log. Comput. | 1 |
| 2000 | A foundationalist view of the AGM theory of belief change
Alexander Bochman |
Artif. Intell. | 1 |
| 2000 | Belief Contraction as Nonmonotonic InferenceabstractAbstract A notion of an epistemic state is introduced as a generalization of common representations suggested for belief change. Based on it, a new kind of nonmonotonic inference relation corresponding to belief contractions is defined. A number of representation results is established that cover both traditional AGM contractions and contractions that do not satisfy recovery. Alexander Bochman |
J. Symb. Log. | 1 |
| 1999 | Credulous Nonmonotonic Inference
Alexander Bochman |
IJCAI | 1 |
| 1999 | A Foundational Theory of Belief and Belief Change
Alexander Bochman |
Artif. Intell. | 1 |
| 1998 | On the Relation Between Default and Modal Nonmonotonic Reasoning
Alexander Bochman |
Artif. Intell. | 1 |
| 1997 | A Study of Przymusinski's Static Semantics
Alexander Bochman |
LPNMR | 1 |
| 1996 | Biconsequence Relations for Nonmonotonic Reasoning
Alexander Bochman |
KR | 1 |
| 1996 | On a Logical Basis of Normal Logic ProgramabstractIn this paper we develop a logical framework for normal logic programs, called default consequence relations. We give a representation of major semantics for logic programs in this formalism and study the question what logics are adequate for the lat Alexander Bochman |
Fundam. Informaticae | 1 |
| 1995 | On Bimodal Nonmonotonic Logics and Their Unimodal and Nonmodal Equivalents
Alexander Bochman |
IJCAI | 1 |
| 1995 | Default Consequence Relations as a Logical Framework for Logic Programs
Alexander Bochman |
LPNMR | 1 |
| 1994 | On the Relation Between Default and Modal Consequence Relations
Alexander Bochman |
KR | 1 |