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Wolfgang Dvořák

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26 papers
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26

AIJ Journal 2026 Journal Article

Redefining ABA + Semantics via Abstract Set-To-Set Attacks

  • Yannis Dimopoulos
  • Wolfgang Dvořák
  • Anna Rapberger
  • Matthias König
  • Markus Ulbricht
  • Stefan Woltran

Assumption-based argumentation (ABA) is a powerful defeasible reasoning formalism which is based on the interplay of assumptions, their contraries, and inference rules. ABA with preferences ( ABA + ) generalizes the basic model by allowing a qualitative comparison of assumptions. The integration of preferences however comes with a cost. In ABA +, the evaluation under two central and well-established semantics—grounded and complete semantics—is not guaranteed to yield an outcome. Moreover, while ABA frameworks without preferences allow for a graph-based representation in Dung-style frameworks, an according instantiation for general ABA + frameworks has not been established so far. In this work, we tackle both issues: First, we develop a novel abstract argumentation formalism based on set-to-set attacks. We show that our so-called Hyper Argumentation Frameworks (HYPAFs) capture the attack relation between assumptions in ABA +. Second, we exploit this correspondence between ABA + and HYPAFs to obtain relaxed variants of complete and grounded semantics for HYPAFs that yield an extension for all frameworks by design, while still faithfully generalizing the established semantics of Dung-style Argumentation Frameworks. Finally, we discuss basic properties and provide a thorough complexity analysis for both the abstract HYPAFs as well as ABA +.

FLAP Journal 2025 Journal Article

Syntactic and Semantic Connections between Logic Programming and Argumentation Systems

  • Samy Sá
  • Wolfgang Dvořák
  • Martin Caminada

Logic programming was one of the first formalisms to incorporate nonmonotonic reasoning and, as such, is the origin of many semantics for this type of reasoning. Many of the core argumentation systems, including Abstract Argumentation, Assumption-Based Argumentation and Abstract Dialectical Frameworks even find their historical roots in the logic programming literature, borrowing terminology, procedures, notation and semantics from this niche. In this article, we provide an overview of the connections between logic programming and a series of argumentation systems, focusing on the semantic perspective to find their relative expressive power. The systems we examine in detail include the ones we already mentioned, as well as Argumentation Frameworks with Sets of Attacking Arguments. In each case, we consider translations and find whether they preserve the semantics of their respective source and target formalism, under some of the most common semantics. For some of the cases where equivalence does not hold, we consider how to restore it. Apart from that, we also offer an overview of how some of these argumentation systems can be implemented using Answer-Set Programming and their specialized solvers.

JAIR Journal 2024 Journal Article

Principles and their Computational Consequences for Argumentation Frameworks with Collective Attacks

  • Wolfgang Dvořák
  • Matthias König
  • Markus Ulbricht
  • Stefan Woltran

Argumentation frameworks (AFs) are a key formalism in AI research. Their semantics have been investigated in terms of principles, which define characteristic properties in order to deliver guidance for analyzing established and developing new semantics. Because of the simple structure of AFs, many desired properties hold almost trivially, at the same time hiding interesting concepts behind syntactic notions. We extend the principle-based approach to argumentation frameworks with collective attacks (SETAFs) and provide a comprehensive overview of common principles for their semantics. Our analysis shows that investigating principles based on decomposing the given SETAF (e.g. directionality or SCC-recursiveness) poses additional challenges in comparison to usual AFs. We introduce the notion of the reduct as well as the modularization principle for SETAFs which will prove beneficial for this kind of investigation. We then demonstrate how our findings can be utilized for incremental computation of extensions and show how we can use graph properties of the frameworks to speed up these algorithms.

JAIR Journal 2024 Journal Article

The Effect of Preferences in Abstract Argumentation under a Claim-Centric View

  • Michael Bernreiter
  • Wolfgang Dvořák
  • Anna Rapberger
  • Stefan Woltran

In this paper, we study the effect of preferences in abstract argumentation under a claim-centric perspective. Recent work has revealed that semantical and computational properties can change when reasoning is performed on claim-level rather than on the argument-level, while under certain natural restrictions (arguments with the same claims have the same outgoing attacks) these properties are conserved. We now investigate these effects when, in addition, preferences have to be taken into account and consider four prominent reductions to handle preferences between arguments. As we shall see, these reductions give rise to four new classes of claim-augmented argumentation frameworks. These classes behave differently from each other with respect to semantic properties and computational complexity, but also in connection with structured argumentation formalisms such as assumption-based argumentation. This strengthens the view that the actual choice for handling preferences has to be taken with care.

AIJ Journal 2023 Journal Article

A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness

  • Wolfgang Dvořák
  • Anna Rapberger
  • Stefan Woltran

Dung's abstract argumentation frameworks (AFs) are a key formalism in AI research nowadays. Claims are an inherent part of each argument; they substantially determine the structure of the abstract representation. Nevertheless, they are often not taken into account on the abstract level, which restricts the modeling capacities of AFs to problems that do not involve claims in the evaluation. In this work, we address this shortcoming and conduct a structural analysis of claim-based argumentation semantics utilizing claim-augmented argumentation frameworks (CAFs) which extend AFs by assigning a claim to each argument. Our main contributions are as follows: We first propose novel variants for preferred, naive, stable, semi-stable, and stage semantics based on claim-defeat and claim-set maximization, complementing existing CAF semantics. Among our findings is that for a certain subclass, namely well-formed CAFs, the different versions of preferred and stable semantics coincide, which is not the case for the other semantics. We then conduct a principle-based analysis of the semantics with respect to general and well-formed CAFs. Finally, we study the expressiveness of the semantics by characterizing their signatures. In summary, this paper provides a thorough analysis of fundamental properties of abstract argumentation semantics (along the lines of existing results for AFs) but from the perspective of the claims the arguments represent. This shift of perspective provides novel results which we deem relevant when abstract argumentation is used in an instantiation-based setting.

AIJ Journal 2023 Journal Article

The complexity landscape of claim-augmented argumentation frameworks

  • Wolfgang Dvořák
  • Alexander Greßler
  • Anna Rapberger
  • Stefan Woltran

Claim-augmented argumentation frameworks (CAFs) provide a formal basis to analyze conclusion-oriented problems in argumentation by adapting a claim-focused perspective; they extend Dung AFs by associating a claim to each argument representing its conclusion. This additional layer offers various possibilities to generalize abstract argumentation semantics, i. e. the re-interpretation of arguments in terms of their claims can be performed at different stages in the evaluation of the framework: One approach is to perform the evaluation entirely at argument-level before interpreting arguments by their claims (inherited semantics); alternatively, one can perform certain steps in the process (e. g. , maximization) already in terms of the arguments' claims (claim-level semantics). The inherent difference of these approaches not only potentially results in different outcomes but, as we will show in this paper, is also mirrored in terms of computational complexity. To this end, we provide a comprehensive complexity analysis of the four main reasoning problems with respect to claim-level variants of preferred, naive, stable, semi-stable and stage semantics and complete the complexity results of inherited semantics by providing corresponding results for semi-stable and stage semantics. Furthermore, we provide complexity results for these types of frameworks when restricted to specific graph classes and when parameterized by the number of claims within the framework. Moreover, we show that deciding, whether for a given framework the two approaches of a semantics coincide (concurrence) can be surprisingly hard, ranging up to the third level of the polynomial hierarchy.

JAIR Journal 2022 Journal Article

Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility

  • Wolfgang Dvořák
  • Markus Ulbricht
  • Stefan Woltran

We study the computational complexity of abstract argumentation semantics based on weak admissibility, a recently introduced concept to deal with arguments of self-defeating nature. Our results reveal that semantics based on weak admissibility are of much higher complexity (under typical assumptions) compared to all argumentation semantics which have been analysed in terms of complexity so far. In fact, we show PSPACE-completeness of all non-trivial standard decision problems for weak-admissible based semantics. We then investigate potential tractable fragments and show that restricting the frameworks under consideration to certain graph-classes significantly reduces the complexity. We also show that weak-admissibility based extensions can be computed by dividing the given graph into its strongly connected components (SCCs). This technique ensures that the bottleneck when computing extensions is the size of the largest SCC instead of the size of the graph itself and therefore contributes to the search for fixed-parameter tractable implementations for reasoning with weak admissibility.

KR Conference 2022 Conference Paper

Rediscovering Argumentation Principles Utilizing Collective Attacks

  • Wolfgang Dvořák
  • Matthias König
  • Markus Ulbricht
  • Stefan Woltran

Argumentation Frameworks (AFs) are a key formalism in AI research. Their semantics have been investigated in terms of principles, which define characteristic properties in order to deliver guidance for analysing established and developing new semantics. Because of the simple structure of AFs, many desired properties hold almost trivially, at the same time hiding interesting concepts behind syntactic notions. We extend the principle-based approach to Argumentation Frameworks with Collective Attacks (SETAFs) and provide a comprehensive overview of common principles for their semantics. Our analysis shows that investigating principles based on decomposing the given SETAF (e. g. directionality or SCC-recursiveness) poses additional challenges in comparison to usual AFs. We introduce the notion of the reduct as well as the modularization principle for SETAFs which will prove beneficial for this kind of investigation. We then demonstrate how our findings can be utilized for incremental computation of extensions and give a novel parameterized tractability result for verifying preferred extensions.

AAAI Conference 2022 Conference Paper

Tractable Abstract Argumentation via Backdoor-Treewidth

  • Wolfgang Dvořák
  • Markus Hecher
  • Matthias König
  • André Schidler
  • Stefan Szeider
  • Stefan Woltran

Argumentation frameworks (AFs) are a core formalism in the field of formal argumentation. As most standard computational tasks regarding AFs are hard for the first or second level of the Polynomial Hierarchy, a variety of algorithmic approaches to achieve manageable runtimes have been considered in the past. Among them, the backdoor-approach and the treewidth-approach turned out to yield fixed-parameter tractable fragments. However, many applications yield high parameter values for these methods, often rendering them infeasible in practice. We introduce the backdoor-treewidth approach for abstract argumentation, combining the best of both worlds with a guaranteed parameter value that does not exceed the minimum of the backdoor- and treewidth-parameter. In particular, we formally define backdoor-treewidth and establish fixed-parameter tractability for standard reasoning tasks of abstract argumentation. Moreover, we provide systems to find and exploit backdoors of small width, and conduct systematic experiments evaluating the new parameter.

AIJ Journal 2021 Journal Article

Algorithms and conditional lower bounds for planning problems

  • Krishnendu Chatterjee
  • Wolfgang Dvořák
  • Monika Henzinger
  • Alexander Svozil

We consider planning problems for graphs, Markov Decision Processes (MDPs), and games on graphs in an explicit state space. While graphs represent the most basic planning model, MDPs represent interaction with nature and games on graphs represent interaction with an adversarial environment. We consider two planning problems with k different target sets: (a) the coverage problem asks whether there is a plan for each individual target set; and (b) the sequential target reachability problem asks whether the targets can be reached in a given sequence. For the coverage problem, we present a linear-time algorithm for graphs, and quadratic conditional lower bound for MDPs and games on graphs. For the sequential target problem, we present a linear-time algorithm for graphs, a sub-quadratic algorithm for MDPs, and a quadratic conditional lower bound for games on graphs. Our results with conditional lower bounds, based on the boolean matrix multiplication (BMM) conjecture and strong exponential time hypothesis (SETH), establish (i) model-separation results showing that for the coverage problem MDPs and games on graphs are harder than graphs, and for the sequential reachability problem games on graphs are harder than MDPs and graphs; and (ii) problem-separation results showing that for MDPs the coverage problem is harder than the sequential target problem.

KR Conference 2021 Short Paper

On the Complexity of Preferred Semantics in Argumentation Frameworks with Bounded Cycle Length

  • Wolfgang Dvořák
  • Matthias König
  • Stefan Woltran

Argumentation frameworks are a core formalism in the field of formal argumentation, with several semantics being proposed in the literature. Among them, preferred semantics is one of the most popular but comes with relatively high complexity. In fact, deciding whether an argument is skeptically accepted, i. e. contained in each preferred extension, is Pi^P_2-complete. In this work we study the complexity of this problem w. r. t. the length of the cycles in the considered AF. Our results show which bounds are necessary to decrease the complexity to coNP and P, respectively. We also consider argumentation frameworks with collective attacks and achieve Pi^P_2-hardness already for cycles of length 4.

AAAI Conference 2021 Conference Paper

Recursion in Abstract Argumentation is Hard — On the Complexity of Semantics Based on Weak Admissibility

  • Wolfgang Dvořák
  • Markus Ulbricht
  • Stefan Woltran

We study the computational complexity of abstract argumentation semantics based on weak admissibility, a recently introduced concept to deal with arguments of self-defeating nature. Our results reveal that semantics based on weak admissibility are of much higher complexity (under typical assumptions) compared to all argumentation semantics which have been analysed in terms of complexity so far. In fact, we show PSPACE-completeness of all non-trivial standard decision problems for weak-admissible based semantics. We then investigate potential tractable fragments and show that restricting the frameworks under consideration to certain graphclasses significantly reduces the complexity. As a strategy for implementation we also provide a polynomial-time reduction to DATALOG with stratified negation.

AAAI Conference 2021 Conference Paper

The Complexity Landscape of Claim-Augmented Argumentation Frameworks

  • Wolfgang Dvořák
  • Alexander Greßler
  • Anna Rapberger
  • Stefan Woltran

Claim-augmented argumentation frameworks (CAFs) provide a formal basis to analyze conclusion-oriented problems in argumentation by adapting a claim-focused perspective; they extend Dung AFs by associating a claim to each argument representing its conclusion. This additional layer offers various possibilities to generalize abstract argumentation semantics, i. e. the re-interpretation of arguments in terms of their claims can be performed at different stages in the evaluation of the framework: One approach is to perform the evaluation entirely at argument-level before interpreting arguments by their claims (inherited semantics); alternatively, one can perform certain steps in the process (e. g. , maximization) already in terms of the arguments’ claims (claim-level semantics). The inherent difference of these approaches not only potentially results in different outcomes but, as we will show in this paper, is also mirrored in terms of computational complexity. To this end, we provide a comprehensive complexity analysis of the four main reasoning problems with respect to claim-level variants of preferred, naive, stable, semi-stable and stage semantics and complete the complexity results of inherited semantics by providing corresponding results for semi-stable and stage semantics. Moreover, we show that deciding, whether for a given framework the two approaches of a semantics coincide (concurrence), can be surprisingly hard, ranging up to the third level of the polynomial hierarchy.

KR Conference 2020 Conference Paper

Argumentation Semantics under a Claim-centric View: Properties, Expressiveness and Relation to SETAFs

  • Wolfgang Dvořák
  • Anna Rapberger
  • Stefan Woltran

Claim-augmented argumentation frameworks (CAFs) constitute a generic formalism for conflict resolution of conclusion-oriented problems in argumentation. CAFs extend Dung argumentation frameworks (AFs) by assigning a claim to each argument. So far, semantics for CAFs are defined with respect to the underlying AF by interpreting the extensions of the respective AF semantics in terms of the claims of the accepted arguments; we refer to them as inherited semantics of CAFs. A central concept of many argumentation semantics is maximization, which can be done with respect to arguments as in preferred semantics, or with respect to the range as in semi-stable semantics. However, common instantiations of argumentation frameworks require maximality on the claim-level and inherited semantics often fail to provide maximal claim-sets even if the underlying AF semantics yields maximal argument sets. To address this issue, we investigate a different approach and introduce claim-level semantics (cl-semantics) for CAFs where maximization is performed on the claim-level. We compare these two approaches for five prominent semantics (preferred, naive, stable, semi-stable, and stage) and relate in total eleven CAF semantics to each other. Moreover, we show that for a certain subclass of CAFs, namely well-formed CAFs, the different versions of preferred and stable semantics coincide, which is not the case for the remaining semantics. We furthermore investigate a recently established translation between well-formed CAFs and SETAFs and show that, in contrast to the inherited naive, semi-stable and stage semantics, the cl-semantics correspond to the respective SETAF semantics. Finally, we investigate the expressiveness of the considered semantics in terms of their signatures.

AIJ Journal 2020 Journal Article

Complexity of abstract argumentation under a claim-centric view

  • Wolfgang Dvořák
  • Stefan Woltran

argumentation frameworks have been introduced by Dung as part of an argumentation process, where arguments and conflicts are derived from a given knowledge base. It is solely this relation between arguments that is then used in order to identify acceptable sets of arguments. A final step concerns the acceptance status of particular statements by reviewing the actual contents of the acceptable arguments. Complexity analysis of abstract argumentation so far has neglected this final step and is concerned with argument names instead of their contents, i. e. their claims. As we outline in this paper, this is not only a slight deviation but can lead to different complexity results. We, therefore, give a comprehensive complexity analysis of abstract argumentation under a claim-centric view and analyse the four main decision problems under seven popular semantics. In addition, we also address the complexity of common sub-classes and introduce novel parameterisations – which exploit the nature of claims explicitly – along with fixed-parameter tractability results.

AIJ Journal 2019 Journal Article

A general notion of equivalence for abstract argumentation

  • Ringo Baumann
  • Wolfgang Dvořák
  • Thomas Linsbichler
  • Stefan Woltran

We introduce a parametrized equivalence notion for abstract argumentation that subsumes standard and strong equivalence as corner cases. Under this notion, two argumentation frameworks are equivalent if they deliver the same extensions under any addition of arguments and attacks that do not affect a given set of core arguments. We also provide exact characterizations and complexity results. The proposed notion of equivalence is motivated by its capability to capture the concept of local simplifications. In fact, our equivalence notion allows to decide whether a sub-framework can be replaced by another one without changing the extensions in the framework which undergoes this change. Moreover, as our characterizations demonstrate deciding this form of equivalence does not require an analysis of the entire framework. This makes it an appealing formal underpinning for establishing general replacement patterns in argumentation frameworks.

AAAI Conference 2019 Conference Paper

Complexity of Abstract Argumentation under a Claim-Centric View

  • Wolfgang Dvořák
  • Stefan Woltran

Abstract argumentation frameworks have been introduced by Dung as part of an argumentation process, where arguments and conflicts are derived from a given knowledge base. It is solely this relation between arguments that is then used in order to identify acceptable sets of arguments. A final step concerns the acceptance status of particular statements by reviewing the actual contents of the acceptable arguments. Complexity analysis of abstract argumentation so far has neglected this final step and is concerned with argument names instead of their contents, i. e. their claims. As we outline in this paper, this is not only a slight deviation but can lead to different complexity results. We, therefore, give a comprehensive complexity analysis of abstract argumentation under a claim-centric view and analyse the four main decision problems under seven popular semantics. In addition, we also address the complexity of common sub-classes and introduce novel parameterisations – which exploit the nature of claims explicitly – along with fixed-parameter tractability results.

IJCAI Conference 2017 Conference Paper

A General Notion of Equivalence for Abstract Argumentation

  • Ringo Baumann
  • Wolfgang Dvořák
  • Thomas Linsbichler
  • Stefan Woltran

We introduce a parametrized equivalence notion for abstract argumentation that subsumes standard and strong equivalence as corner cases. Under this notion, two argumentation frameworks are equivalent if they deliver the same extensions under any addition of arguments and attacks that do not affect a given set of core arguments. As we will see, this notion of equivalence nicely captures the concept of local simplifications. We provide exact characterizations and complexity results for deciding our new notion of equivalence.

AIJ Journal 2016 Journal Article

On rejected arguments and implicit conflicts: The hidden power of argumentation semantics

  • Ringo Baumann
  • Wolfgang Dvořák
  • Thomas Linsbichler
  • Christof Spanring
  • Hannes Strass
  • Stefan Woltran

argumentation frameworks (afs) are one of the most studied formalisms in AI and are formally simple tools to model arguments and their conflicts. The evaluation of an af yields extensions (with respect to a semantics) representing alternative acceptable sets of arguments. For many of the available semantics two effects can be observed: there exist arguments in the given af that do not appear in any extension (rejected arguments); there exist pairs of arguments that do not occur jointly in any extension, albeit there is no explicit conflict between them in the given af (implicit conflicts). In this paper, we investigate the question whether these situations are only a side-effect of particular afs, or whether rejected arguments and implicit conflicts contribute to the expressiveness of the actual semantics. We do so by introducing two subclasses of afs, namely compact and analytic frameworks. The former class contains afs that do not contain rejected arguments with respect to a semantics at hand; afs from the latter class are free of implicit conflicts for a given semantics. Frameworks that are contained in both classes would be natural candidates towards normal forms for afs since they minimize the number of arguments on the one hand, and on the other hand maximize the information on conflicts, a fact that might help argumentation systems to evaluate afs more efficiently. Our main results show that under stable, preferred, semi-stable, and stage semantics neither of the classes is able to capture the full expressive power of these semantics; we thus also refute a recent conjecture by Baumann et al. on implicit conflicts. Moreover, we give a detailed complexity analysis for the problem of deciding whether an af is compact, resp. analytic. Finally, we also study the signature of these subclasses for the mentioned semantics and shed light on the question under which circumstances an arbitrary framework can be transformed into an equivalent compact, resp. analytic, af.

AIJ Journal 2015 Journal Article

Characteristics of multiple viewpoints in abstract argumentation

  • Paul E. Dunne
  • Wolfgang Dvořák
  • Thomas Linsbichler
  • Stefan Woltran

The study of extension-based semantics within the seminal abstract argumentation model of Dung has largely focused on definitional, algorithmic and complexity issues. In contrast, matters relating to comparisons of representational limits, in particular, the extent to which given collections of extensions are expressible within the formalism, have been under-developed. As such, little is known concerning conditions under which a candidate set of subsets of arguments are “realistic” in the sense that they correspond to the extensions of some argumentation framework af for a semantics of interest. In this paper we present a formal basis for examining extension-based semantics in terms of the sets of extensions that these may express within a single af. We provide a number of characterization theorems which guarantee the existence of afs whose set of extensions satisfy specific conditions and derive complexity results for decision problems that require such characterizations.

AIJ Journal 2015 Journal Article

Methods for solving reasoning problems in abstract argumentation – A survey

  • Günther Charwat
  • Wolfgang Dvořák
  • Sarah A. Gaggl
  • Johannes P. Wallner
  • Stefan Woltran

Within the last decade, abstract argumentation has emerged as a central field in Artificial Intelligence. Besides providing a core formalism for many advanced argumentation systems, abstract argumentation has also served to capture several non-monotonic logics and other AI related principles. Although the idea of abstract argumentation is appealingly simple, several reasoning problems in this formalism exhibit high computational complexity. This calls for advanced techniques when it comes to implementation issues, a challenge which has been recently faced from different angles. In this survey, we give an overview on different methods for solving reasoning problems in abstract argumentation and compare their particular features. Moreover, we highlight available state-of-the-art systems for abstract argumentation, which put these methods to practice.

KR Conference 2014 Conference Paper

Characteristics of Multiple Viewpoints in Abstract Argumentation

  • Paul E. Dunne
  • Wolfgang Dvořák
  • Thomas Linsbichler
  • Stefan Woltran

and gives the collection of all possible sets of extensions an AF can possess under semantics σ. We shall focus on several important semantics namely naive, preferred, semistable, stage, stable, and complete semantics (Dung 1995; Verheij 1996; Caminada, Carnielli, and Dunne 2012) and aim at finding simple criteria to decide whether a set S is contained in Σσ. For instance, we will show that each S ∈ Σpref satisfies the condition that for each pair of distinct sets A and B from S there is at least one a ∈ A and b ∈ B such that a, b do not occur together in any set in S. Thus, for instance, S = {{a, b}, {c, d}, {a, c}, {b, d}} is part of the signature Σpref while neither S ∪ {{a, d}} nor S ∪ {{b, c}} are. This fact can be exploited in a search procedure for enumerating preferred extensions: assume for a given AF F, the three extensions from S have already been calculated as preferred extensions of F. The procedure can now restrict the search space to find further extensions of F (if they exist) to sets with at least one argument different from a, b, c, and d. The problem we study here is also essential in many other aspects. First, our results are important for constructing AFs. Indeed, knowing whether a set S is contained in Σσ is a necessary condition which should be checked before actually looking for an AF F which realizes S under σ, i. e. σ(F) = S. This is of high importance when dynamic aspects of argumentation are considered (Falappa et al. 2011). As an example, suppose a framework F possesses as its σ-extensions a set S and one asks for an adaptation of the framework F such that its σ-extensions are given by S ∪ {E}, i. e. one extension is to be added. The addition of E to S may, for instance, be desired by some agent on the grounds that E contains some subset of arguments which it wishes to be collectively accepted by other agents: no extension in S, however, provides support for the subset of interest to be considered justifiable. Furthermore the agent wishing to add E is reluctant to jeopardize the chance of this happening if the modified AF is such that some existing element of S ceases to be an extension: such an outcome being likely to prejudice other agents against agreeing to changes which admit E. Before considering the adapted framework’s structure, it is obviously crucial to know whether an appropriate framework exists at all, i. e. whether S ∪ {E} ∈ Σσ. In a recent paper on revision of AF s (Coste-Marquis et al. 2013), the authors circumvent this issue by allowing revision to result in a set of AFs such that The study of extension-based semantics within the seminal abstract argumentation model of Dung has largely focused on definitional, algorithmic and complexity issues. In contrast, matters relating to comparisons of representational limits, in particular, the extent to which given collections of extensions are expressible within the formalism, have been under-developed. As such, little is known concerning conditions under which a candidate set of subsets of arguments are “realistic” in the sense that they correspond to the extensions of some argumentation framework AF for a semantics of interest. In this paper we present a formal basis for examining extension-based semantics in terms of the sets of extensions that these may express within a single AF. We provide a number of characterization theorems which guarantee the existence of AFs whose set of extensions satisfy specific conditions and derive preliminary complexity results for decision problems that require such characterizations.

AIJ Journal 2014 Journal Article

Complexity-sensitive decision procedures for abstract argumentation

  • Wolfgang Dvořák
  • Matti Järvisalo
  • Johannes Peter Wallner
  • Stefan Woltran

argumentation frameworks (AFs) provide the basis for various reasoning problems in the area of Artificial Intelligence. Efficient evaluation of AFs has thus been identified as an important research challenge. So far, implemented systems for evaluating AFs have either followed a straight-forward reduction-based approach or been limited to certain tractable classes of AFs. In this work, we present a generic approach for reasoning over AFs, based on the novel concept of complexity-sensitivity. Establishing the theoretical foundations of this approach, we derive several new complexity results for preferred, semi-stable and stage semantics which complement the current complexity landscape for abstract argumentation, providing further understanding on the sources of intractability of AF reasoning problems. The introduced generic framework exploits decision procedures for problems of lower complexity whenever possible. This allows, in particular, instantiations of the generic framework via harnessing in an iterative way current sophisticated Boolean satisfiability (SAT) solver technology for solving the considered AF reasoning problems. First experimental results show that the SAT-based instantiation of our novel approach outperforms existing systems.

AIJ Journal 2013 Journal Article

Parametric properties of ideal semantics

  • Paul E. Dunne
  • Wolfgang Dvořák
  • Stefan Woltran

The concept of “ideal semantics” has been promoted as an alternative basis for skeptical reasoning within abstract argumentation settings. Informally, ideal acceptance not only requires an argument to be skeptically accepted in the traditional sense but further insists that the argument is in an admissible set all of whose arguments are also skeptically accepted. The original proposal was couched in terms of the so-called preferred semantics for abstract argumentation. We argue, in this paper, that the notion of “ideal acceptability” is applicable to arbitrary semantics and justify this claim by showing that standard properties of classical ideal semantics, e. g. unique status, continue to hold in any “reasonable” extension-based semantics. We categorise the relationship between the divers concepts of “ideal extension w. r. t. semantics σ” that arise and we present a comprehensive analysis of algorithmic and complexity-theoretic issues. In addition we offer further support for the view that “ideal semantics” ought to be seen as a generic property by presenting and analysing the forms that these might take within value-based argumentation frameworks.

AIJ Journal 2012 Journal Article

Augmenting tractable fragments of abstract argumentation

  • Wolfgang Dvořák
  • Sebastian Ordyniak
  • Stefan Szeider

We present a new approach to the efficient solution of important computational problems that arise in the context of abstract argumentation. Our approach makes known algorithms defined for restricted fragments generally applicable, at a computational cost that scales with the distance from the fragment. Thus, in a certain sense, we gradually augment tractable fragments. Surprisingly, it turns out that some tractable fragments admit such an augmentation and that others do not. More specifically, we show that the problems of Credulous and Skeptical Acceptance are fixed-parameter tractable when parameterized by the distance from the fragment of acyclic argumentation frameworks—for most semantics. Other tractable fragments such as the fragments of symmetrical and bipartite frameworks seem to prohibit an augmentation: the acceptance problems are already intractable for frameworks at distance 1 from the fragments. For our study we use a broad setting and consider several different semantics. For the algorithmic results we utilize recent advances in fixed-parameter tractability.

AIJ Journal 2012 Journal Article

Towards fixed-parameter tractable algorithms for abstract argumentation

  • Wolfgang Dvořák
  • Reinhard Pichler
  • Stefan Woltran

argumentation frameworks have received a lot of interest in recent years. Most computational problems in this area are intractable but several tractable fragments have been identified. In particular, Dunne showed that many problems can be solved in linear time for argumentation frameworks of bounded tree-width. However, these tractability results, which were obtained via Courcelleʼs Theorem, do not directly lead to efficient algorithms. The goal of this paper is to turn the theoretical tractability results into efficient algorithms and to explore the potential of directed notions of tree-width for defining larger tractable fragments. As a by-product, we will sharpen some known complexity results.

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