His scientific interests lie mostly in Theoretical computer science, Programming language, Knowledge representation and reasoning, Answer set programming and Logic programming. His biological study spans a wide range of topics, including Computational complexity theory, Representation and Computation. His Programming language research includes elements of Semantics and Rotation formalisms in three dimensions.
His work carried out in the field of Answer set programming brings together such families of science as Graphical user interface, User interface and Database. His research integrates issues of Prolog, Functional logic programming, Computational logic and Complete information in his study of Logic programming. His Non-monotonic logic research incorporates elements of Datalog and Declarative programming.
His primary areas of study are Theoretical computer science, Answer set programming, Programming language, Stable model semantics and Logic programming. His studies deal with areas such as Computation, Semantics, Set and Knowledge representation and reasoning as well as Theoretical computer science. The various areas that Wolfgang Faber examines in his Answer set programming study include Discrete mathematics, Heuristics, Declarative programming and Polynomial hierarchy.
His Programming language research includes themes of Computational complexity theory and Disjunctive programming. His work investigates the relationship between Stable model semantics and topics such as Equivalence that intersect with problems in Epistemic modal logic, Algorithm and Rewriting. His work in Logic programming covers topics such as Functional logic programming which are related to areas like Horn clause.
Wolfgang Faber focuses on Answer set programming, Theoretical computer science, Semantics, Non-monotonic logic and Programming language. While the research belongs to areas of Answer set programming, Wolfgang Faber spends his time largely on the problem of Key, intersecting his research to questions surrounding Transformation and Debugging. His Theoretical computer science study combines topics in areas such as Negation, Computational complexity theory, Modular design, Semantics and Declarative programming.
His study looks at the relationship between Declarative programming and topics such as Circumscription, which overlap with Satisfiability, Optimization problem, Datalog, Language construct and Prolog. His work deals with themes such as Set, Logic programming and Truth value, which intersect with Semantics. His study brings together the fields of Knowledge representation and reasoning and Programming language.
The scientist’s investigation covers issues in Answer set programming, Theoretical computer science, Non-monotonic logic, Implementation and Programming language. In his study, Input language is inextricably linked to Knowledge representation and reasoning, which falls within the broad field of Answer set programming. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Equivalence and Semantics.
He interconnects Satisfiability, Circumscription, Maximum satisfiability problem, Optimization problem and Declarative programming in the investigation of issues within Non-monotonic logic. Wolfgang Faber focuses mostly in the field of Implementation, narrowing it down to matters related to Computation and, in some cases, Negation. In general Programming language, his work in Solver and Consistency is often linked to Base and Region connection calculus linking many areas of study.
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The DLV system for knowledge representation and reasoning
Nicola Leone;Gerald Pfeifer;Wolfgang Faber;Thomas Eiter.
ACM Transactions on Computational Logic (2006)
Logic Programming and Nonmonotonic Reasoning
James P. Delgrande;Wolfgang Faber.
(2011)
Recursive Aggregates in Disjunctive Logic Programs: Semantics and Complexity
Wolfgang Faber;Nicola Leone;Gerald Pfeifer.
european conference on logics in artificial intelligence (2004)
Semantics and complexity of recursive aggregates in answer set programming
Wolfgang Faber;Gerald Pfeifer;Nicola Leone.
Artificial Intelligence (2011)
Declarative problem-solving using the DLV system
Thomas Eiter;Wolfgang Faber;Nicola Leone;Gerald Pfeifer.
Logic-based artificial intelligence (2000)
A logic programming approach to knowledge-state planning, II: the DLV k system
Thomas Eiter;Wolfgang Faber;Nicola Leone;Gerald Pfeifer.
Artificial Intelligence (2003)
Aggregate functions in disjunctive logic programming: semantics, complexity, and implementation in DLV
Tina Dell'Armi;Wolfgang Faber;Giuseppe Ielpa;Nicola Leone.
international joint conference on artificial intelligence (2003)
The INFOMIX system for advanced integration of incomplete and inconsistent data
Nicola Leone;Gianluigi Greco;Giovambattista Ianni;Vincenzino Lio.
international conference on management of data (2005)
The Diagnosis Frontend of the dlv system
Thomas Eiter;Wolfgang Faber;Nicola Leone;Gerald Pfeifer.
Ai Communications (1999)
DLV - A System for Declarative Problem Solving
Thomas Eiter;Wolfgang Faber;Christoph Koch;Nicola Leone.
arXiv: Artificial Intelligence (2000)
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