Skip to main content

previous disabled Page of 5
and
  1. Article

    Open Access

    Sequent Calculi for Choice Logics

    Choice logics constitute a family of propositional logics and are used for the representation of preferences, with especially qualitative choice logic (QCL) being an established formalism with numerous applicatio...

    Michael Bernreiter, Anela Lolic, Jan Maly, Stefan Woltran in Journal of Automated Reasoning (2024)

  2. No Access

    Chapter and Conference Paper

    Constrained Derivation in Assumption-Based Argumentation

    Structured argumentation formalisms provide a rich framework to formalise and reason over situations where contradicting information is present. However, in most formalisms the integral step of constructing al...

    Giovanni Buraglio, Wolfgang Dvořák in Foundations of Information and Knowledge S… (2024)

  3. Chapter

    A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations

    This chapter gives an overview of the most important methods in artificial intelligence (AI). The methods of symbolic AI are rooted in logic, and finding possible solutions by search is a central aspect. The m...

    Clemens Heitzinger, Stefan Woltran in Introduction to Digital Humanism (2024)

  4. Chapter

    It Is Simple, It Is Complicated

    History is not a strictly linear process; our progress as society is one full of contradictions. This we have to bear in mind when trying to find answers to pressing challenges related to and even caused by th...

    Julia Neidhardt, Hannes Werthner, Stefan Woltran in Perspectives on Digital Humanism (2022)

  5. Chapter and Conference Paper

    Sequent Calculi for Choice Logics

    Choice logics constitute a family of propositional logics and are used for the representation of preferences, with especially qualitative choice logic (QCL) being an established formalism with numerous applicatio...

    Michael Bernreiter, Anela Lolic, Jan Maly, Stefan Woltran in Automated Reasoning (2022)

  6. No Access

    Chapter and Conference Paper

    Graph-Classes of Argumentation Frameworks with Collective Attacks

    Argumentation frameworks with collective attacks (SETAFs) have gained increasing attention in recent years as they provide a natural extension of the well-known abstract argumentation frameworks (AFs) due to D...

    Wolfgang Dvořák, Matthias König, Stefan Woltran in Logics in Artificial Intelligence (2021)

  7. No Access

    Chapter and Conference Paper

    ASPARTIX-V19 - An Answer-Set Programming Based System for Abstract Argumentation

    We present ASPARTIX-V, a tool for reasoning in abstract argumentation frameworks that is based on answer-set programming (ASP), in its 2019 release. ASPARTIX-V participated in this year’s edition of the Inter...

    Wolfgang Dvořák, Anna Rapberger in Foundations of Information and Knowledge S… (2020)

  8. No Access

    Chapter and Conference Paper

    Exploiting Database Management Systems and Treewidth for Counting

    Bounded treewidth is one of the most cited combinatorial invariants, which was applied in the literature for solving several counting problems efficiently. A canonical counting problem is #Sat, which asks to coun...

    Johannes K. Fichte, Markus Hecher in Practical Aspects of Declarative Languages (2020)

  9. Chapter and Conference Paper

    Taming High Treewidth with Abstraction, Nested Dynamic Programming, and Database Technology

    Treewidth is one of the most prominent structural parameters. While numerous theoretical results establish tractability under the assumption of fixed treewidth, the practical success of exploiting this paramet...

    Markus Hecher, Patrick Thier, Stefan Woltran in Theory and Applications of Satisfiability … (2020)

  10. Article

    Preface

    Flavio Ferrarotti, Stefan Woltran in Annals of Mathematics and Artificial Intelligence (2019)

  11. No Access

    Article

    A multiparametric view on answer set programming

    Disjunctive answer set programming (ASP) is an important framework for declarative modeling and problem solving, where the computational complexity of basic decision problems like consistency (deciding whether...

    Johannes K. Fichte, Martin Kronegger in Annals of Mathematics and Artificial Intel… (2019)

  12. No Access

    Chapter and Conference Paper

    Strong Equivalence for Argumentation Frameworks with Collective Attacks

    Argumentation frameworks with collective attacks are a prominent extension of Dung’s abstract argumentation frameworks, where an attack can be drawn from a set of arguments to another argument

    Wolfgang Dvořák, Anna Rapberger in KI 2019: Advances in Artificial Intelligen… (2019)

  13. No Access

    Chapter and Conference Paper

    Multi-valued GRAPPA

    Abstract dialectical frameworks (ADFs) are generalizations of Dung’s argumentation frameworks which allow arbitrary relationships among arguments to be expressed. In particular, arguments can not only attack e...

    Gerhard Brewka, Jörg Pührer, Stefan Woltran in Logics in Artificial Intelligence (2019)

  14. No Access

    Chapter and Conference Paper

    Preprocessing Argumentation Frameworks via Replacement Patterns

    A fast-growing research direction in the study of formal argumentation is the development of practical systems for central reasoning problems underlying argumentation. In particular, numerous systems for abstr...

    Wolfgang Dvořák, Matti Järvisalo, Thomas Linsbichler in Logics in Artificial Intelligence (2019)

  15. Article

    Open Access

    Complexity of Secure Sets

    A secure set S in a graph is defined as a set of vertices such that for any \(X\subseteq S\) ...

    Bernhard Bliem, Stefan Woltran in Algorithmica (2018)

  16. No Access

    Article

    Interview with Vladimir Lifschitz

    This interview with Vladimir Lifschitz was conducted by Torsten Schaub at the University of Texas at Austin in August 2017. The question set was compiled by Torsten Schaub and Stefan Woltran.

    Vladimir Lifschitz, Torsten Schaub, Stefan Woltran in KI - Künstliche Intelligenz (2018)

  17. No Access

    Article

    Interview with Gerhard Brewka

    This interview with Gerhard Brewka was conducted by correspondance in May 2018. The question set was compiled by Torsten Schaub and Stefan Woltran.

    Gerhard Brewka, Torsten Schaub, Stefan Woltran in KI - Künstliche Intelligenz (2018)

  18. No Access

    Article

    Dynamic Programming on Tree Decompositions with D-FLAT

    Many hard problems can be solved efficiently by dynamic programming algorithms that work on tree decompositions. In this paper, we present the D-FLAT system for rapid prototy** of such algorithms. Users can ...

    Michael Abseher, Bernhard Bliem, Markus Hecher in KI - Künstliche Intelligenz (2018)

  19. No Access

    Article

    Answer set programming unleashed!

    Answer Set Programming faces an increasing popularity for problem solving in various domains. While its modeling language allows us to express many complex problems in an easy way, its solving technology enabl...

    Torsten Schaub, Stefan Woltran in KI - Künstliche Intelligenz (2018)

  20. Article

    Special Issue on Answer Set Programming

    Torsten Schaub, Stefan Woltran in KI - Künstliche Intelligenz (2018)

previous disabled Page of 5