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Paul E. Dunne

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41 papers
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41

FLAP Journal 2017 Journal Article

Computational Problems in Formal Argumentation and their Complexity.

  • Wolfgang Dvorák
  • Paul E. Dunne

In this paper we give an overview of the core computational problems arising in formal argumentation together with a complexity analysis highlighting different sources of computational complexity. To this end we consider three prominent argumentation formalisms from the literature, that are Dung’s abstract argumentation frameworks, assumption-based argumentation, and abstract dialectical frameworks, each of which allows to highlight different sources of computational complexity in formal argumentation. As most of these problems turn out to be of high complexity we also consider properties of instances, like being in a specific graph class, that reduce the complexity and thus allow for more efficient algorithms. Finally, we also show how to apply techniques from parametrized complexity that allow for a more fine-grained complexity classification.

AAMAS Conference 2016 Conference Paper

A Synergy Coalition Group Based Dynamic Programming Algorithm for Coalition Formation

  • Luke Riley
  • Katie Atkinson
  • Paul E. Dunne
  • TERRY R. PAYNE

Coalition formation in characteristic function games entails agents partitioning themselves into a coalition structure and assigning the numeric rewards of each coalition via a payoff vector. Various coalition structure generation algorithms have been proposed that guarantee that an optimal coalition structure is found. We present the Synergy Coalition Group-based Dynamic Programming (SCG- DP) algorithm that guarantees that an optimal coalition structure and a least core stable payoff vector is found. This is completed by extending the existing results for the Synergy Coalition Group (SCG) representation to show that only coalitions in the SCG are needed to find a weak-least core stable payoff vector. The SCG- DP algorithm builds on this result by performing only the search operations necessary to guarantee that coalitions in the SCG of the given characteristic function game are found. The number of operations required is significantly less for many coalition-value distributions compared to the original Dynamic Programming (DP) algorithm [34] that finds an optimal coalition structure (e. g. only ∼60% of DP’s coalition lookup operations are performed in SCG- DP for 18 agents using a normal coalition-value distribution). Our experimental results show that a lower bound for these operations in SCG-DP converges onto 50%. This is an increase on the ∼33% bound of the optimal dynamic programming (ODP) algorithm [14], but ODP does not search for a stable solution. General Terms Algorithms, Economics, Theory

IJCAI Conference 2016 Conference Paper

Investigating the Relationship between Argumentation Semantics via Signatures

  • Paul E. Dunne
  • Christof Spanring
  • Thomas Linsbichler
  • Stefan Woltran

Understanding the relation between different semantics in abstract argumentation is an important issue, not least since such semantics capture the basic ingredients of different approaches to nonmonotonic reasoning. The question we are interested in relates two semantics as follows: What are the necessary and sufficient conditions, such that we can decide, for any two sets of extensions, whether there exists an argumentation framework which has exactly the first extension set under one semantics, and the second extension set under the other semantics. We investigate in total nine argumentation semantics and give a nearly complete landscape of exact characterizations. As we shall argue, such results not only give an account on the independency between semantics, but might also prove useful in argumentation systems by providing guidelines for how to prune the search space.

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 2014 Journal Article

Algorithms for decision problems in argument systems under preferred semantics

  • Samer Nofal
  • Katie Atkinson
  • Paul E. Dunne

For Dungʼs model of abstract argumentation under preferred semantics, argumentation frameworks may have several distinct preferred extensions: i. e. , in informal terms, sets of acceptable arguments. Thus the acceptance problem (for a specific argument) can consider deciding whether an argument is in at least one such extensions (credulously accepted) or in all such extensions (skeptically accepted). We start by presenting a new algorithm that enumerates all preferred extensions. Following this we build algorithms that decide the acceptance problem without requiring explicit enumeration of all extensions. We analyze the performance of our algorithms by comparing these to existing ones, and present experimental evidence that the new algorithms are more efficient with respect to the expected running time. Moreover, we extend our techniques to solve decision problems in a widely studied development of Dungʼs model: namely value-based argumentation frameworks (vafs). In this regard, we examine analogous notions to the problem of enumerating preferred extensions and present algorithms that decide subjective, respectively objective, acceptance.

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 2013 Journal Article

Automata for infinite argumentation structures

  • Pietro Baroni
  • Federico Cerutti
  • Paul E. Dunne
  • Massimiliano Giacomin

The theory of abstract argumentation frameworks (afs) has, in the main, focused on finite structures, though there are many significant contexts where argumentation can be regarded as a process involving infinite objects. To address this limitation, in this paper we propose a novel approach for describing infinite afs using tools from formal language theory. In particular, the possibly infinite set of arguments is specified through the language recognized by a deterministic finite automaton while a suitable formalism, called attack expression, is introduced to describe the relation of attack between arguments. The proposed approach is shown to satisfy some desirable properties which cannot be achieved through other “naive” uses of formal languages. In particular, the approach is shown to be expressive enough to capture (besides any arbitrary finite structure) a large variety of infinite afs including two major examples from previous literature and two sample cases from the domains of multi-agent negotiation and ambient intelligence. On the computational side, we show that several decision and construction problems which are known to be polynomial time solvable in finite afs are decidable in the context of the proposed formalism and we provide the relevant algorithms. Moreover we obtain additional results concerning the case of finitary afs.

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.

IJCAI Conference 2011 Conference Paper

Parametric Properties of Ideal Semantics

  • Wolfgang Dvor
  • aacute; k
  • Paul E. Dunne
  • 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 "deal 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 wrt semantics s" that arise and we present a comprehensive analysis of algorithmic and complexity-theoretic issues.

IJCAI Conference 2011 Conference Paper

Relating the Semantics of Abstract Dialectical Frameworks and Standard AFs

  • Gerhard Brewka
  • Paul E. Dunne
  • Stefan Woltran

One criticism often advanced against abstract argumentation frameworks (AFs), is that these consider only one form of interaction between atomic arguments: specifically that an argument attacks another. Attempts to broaden the class of relationships include bipolar frameworks, where arguments support others, and abstract dialectical frameworks (ADFs). The latter, allow "acceptance'' of an argument, x, to be predicated on a given propositional function, C_x, dependent on the corresponding acceptance of its parents, i. e. those y for which occurs. Although offering a richly expressive formalism subsuming both standard and bipolar AFs, an issue that arises with ADFs is whether this expressiveness is achieved in a manner that would be infeasible within standard AFs. Can the semantics used in ADFs be mapped to some AF semantics? How many arguments are needed in an AF to "simulate'' an ADF? We show that (in a formally defined sense) any ADF can be simulated by an AF of similar size and that this translation can be realised by a polynomial time algorithm.

AIJ Journal 2011 Journal Article

Weighted argument systems: Basic definitions, algorithms, and complexity results

  • Paul E. Dunne
  • Anthony Hunter
  • Peter McBurney
  • Simon Parsons
  • Michael Wooldridge

We introduce and investigate a natural extension of Dung's well-known model of argument systems in which attacks are associated with a weight, indicating the relative strength of the attack. A key concept in our framework is the notion of an inconsistency budget, which characterises how much inconsistency we are prepared to tolerate: given an inconsistency budget β, we would be prepared to disregard attacks up to a total weight of β. The key advantage of this approach is that it permits a much finer grained level of analysis of argument systems than unweighted systems, and gives useful solutions when conventional (unweighted) argument systems have none. We begin by reviewing Dung's abstract argument systems, and motivating weights on attacks (as opposed to the alternative possibility, which is to attach weights to arguments). We then present the framework of weighted argument systems. We investigate solutions for weighted argument systems and the complexity of computing such solutions, focussing in particular on weighted variations of grounded extensions. Finally, we relate our work to the most relevant examples of argumentation frameworks that incorporate strengths.

ECAI Conference 2010 Conference Paper

Computation in Extended Argumentation Frameworks

  • Paul E. Dunne
  • Sanjay Modgil
  • Trevor J. M. Bench-Capon

Extended Argumentation Frameworks (EAFs) are a recently proposed formalism that develop abstract argumentation frameworks (AFs) by allowing attacks between arguments to be attacked themselves: hence EAFs add a relationship [Dscr ] ⊆ [Xscr ] × [Ascr ] to the arguments ([Xscr ]) and attacks ([Ascr ] ⊆ [Xscr ] × [Xscr ]) in an AF's basic directed graph structure 〈[Xscr ], [Ascr ]〉. This development provides a natural way to represent and reason about preferences between arguments. Studies of EAFs have thus far focussed on acceptability semantics, proof-theoretic processes, and applications. However, no detailed treatment of their practicality in computational settings has been undertaken. In this paper we address this lacuna, considering algorithmic and complexity properties specific to EAFs. We show that (as for standard AFs) the problem of determining if an argument is acceptable w. r. t. a subset of [Xscr ] is polynomial time decidable and, thus, determining the grounded extension and verifying admissibility are efficiently solvable. We, further, consider the status of a number of decision questions specific to the EAF formalism in the sense that these have no counterparts within AFs.

AIJ Journal 2010 Journal Article

Solving coalitional resource games

  • Paul E. Dunne
  • Sarit Kraus
  • Efrat Manisterski
  • Michael Wooldridge

Coalitional Resource Games (crgs) are a form of Non-Transferable Utility (ntu) game, which provide a natural formal framework for modelling scenarios in which agents must pool scarce resources in order to achieve mutually satisfying sets of goals. Although a number of computational questions surrounding crgs have been studied, there has to date been no attempt to develop solution concepts for crgs, or techniques for constructing solutions. In this paper, we rectify this omission. Following a review of the crg framework and a discussion of related work, we formalise notions of coalition structures and the core for crgs, and investigate the complexity of questions such as determining nonemptiness of the core. We show that, while such questions are in general computationally hard, it is possible to check the stability of a coalition structure in time exponential in the number of goals in the system, but polynomial in the number of agents and resources. As a consequence, checking stability is feasible for systems with small or bounded numbers of goals. We then consider constructive approaches to generating coalition structures. We present a negotiation protocol for crgs, give an associated negotiation strategy, and prove that this strategy forms a subgame perfect equilibrium. We then show that coalition structures produced by the protocol satisfy several desirable properties: Pareto optimality, dummy player, and pseudo-symmetry.

IJCAI Conference 2009 Conference Paper

  • Pietro Baroni
  • Paul E. Dunne
  • Massimiliano Giacomin

In the context of Dung’s theory of abstract argumentation frameworks, the recently introduced resolution-based grounded semantics features the unique property of fully complying with a set of general requirements, only partially satisfied by previous literature proposals. This paper contributes to the investigation of resolution-based grounded semantics by analyzing its computational properties with reference to a standard set of decision problems for abstract argumentation semantics: (a) checking the property of being an extension for a set of arguments; (b) checking agreement with traditional grounded semantics; (c) checking the existence of a non-empty extension; (d) checking credulous acceptance of an argument; (e) checking skeptical acceptance of an argument. It is shown that problems (a)-(c) admit polynomial time decision processes, while (d) is NP–complete and (e) coNP–complete.

AAMAS Conference 2009 Conference Paper

Inconsistency Tolerance in Weighted Argument Systems

  • Paul E. Dunne
  • Anthony Hunter
  • Peter McBurney
  • Simon Parsons
  • Michael Wooldridge

We introduce and investigate a natural extension of Dung’s wellknown model of argument systems in which attacks are associated with a weight, indicating the relative strength of the attack. A key concept in our framework is the notion of an inconsistency budget, which characterises how much inconsistency we are prepared to tolerate: given an inconsistency budget β, we would be prepared to disregard attacks up to a total cost of β. The key advantage of this approach is that it permits a much finer grained level of analysis of argument systems than unweighted systems, and gives useful solutions when conventional (unweighted) argument systems have none. We begin by reviewing Dung’s abstract argument systems, and present the model of weighted argument systems. We then investigate solutions to weighted argument systems and the associated complexity of computing these solutions, focussing in particular on weighted variations of grounded extensions.

AIJ Journal 2009 Journal Article

The computational complexity of ideal semantics

  • Paul E. Dunne

We analyse the computational complexity of the recently proposed ideal semantics within both abstract argumentation frameworks (afs) and assumption-based argumentation frameworks (abfs). It is shown that while typically less tractable than credulous admissibi-lity semantics, the natural decision problems arising with this extension-based model can, perhaps surprisingly, be decided more efficiently than sceptical preferred semantics. In particular the task of finding the unique ideal extension is easier than that of deciding if a given argument is accepted under the sceptical semantics. We provide efficient algorithmic approaches for the class of bipartite argumentation frameworks and, finally, present a number of technical results which offer strong indications that typical problems in ideal argumentation are complete for the class p ∥ C of languages decidable by polynomial time algorithms allowed to make non-adaptive queries to a C oracle, where C is an upper bound on the computational complexity of deciding credulous acceptance: C = np for afs and logic programming (lp) instantiations of abfs; C = Σ 2 p for abfs modelling default theories.

JELIA Conference 2008 Conference Paper

Computational Complexity of Semi-stable Semantics in Abstract Argumentation Frameworks

  • Paul E. Dunne
  • Martin Caminada

Abstract Semi-stable semantics offer a further extension based formalism by which the concept of “collection of justified arguments” in abstract argumentation frameworks may be described. In contrast to the better known stable semantics, one advantage of semi-stability is that any finite argumentation framework always has at least one semi-stable extension. Although there has been some development of the formal logical theory of semi-stable semantics so that several computational properties of these extensions have been identified, with the exception of some algorithmic studies, more detailed investigation of computational complexity issues has been neglected. Our purpose in this article is to present a number of results on the complexity of some natural decision questions for semi-stable semantics.

AIJ Journal 2007 Journal Article

Argumentation in artificial intelligence

  • T.J.M. Bench-Capon
  • Paul E. Dunne

Over the last ten years, argumentation has come to be increasingly central as a core study within Artificial Intelligence (AI). The articles forming this volume reflect a variety of important trends, developments, and applications covering a range of current topics relating to the theory and applications of argumentation. Our aims in this introduction are, firstly, to place these contributions in the context of the historical foundations of argumentation in AI and, subsequently, to discuss a number of themes that have emerged in recent years resulting in a significant broadening of the areas in which argumentation based methods are used. We begin by presenting a brief overview of the issues of interest within the classical study of argumentation: in particular, its relationship—in terms of both similarities and important differences—to traditional concepts of logical reasoning and mathematical proof. We continue by outlining how a number of foundational contributions provided the basis for the formulation of argumentation models and their promotion in AI related settings and then consider a number of new themes that have emerged in recent years, many of which provide the principal topics of the research presented in this volume.

AIJ Journal 2007 Journal Article

Audiences in argumentation frameworks

  • Trevor J.M. Bench-Capon
  • Sylvie Doutre
  • Paul E. Dunne

Although reasoning about what is the case has been the historic focus of logic, reasoning about what should be done is an equally important capacity for an intelligent agent. Reasoning about what to do in a given situation—termed practical reasoning in the philosophical literature—has important differences from reasoning about what is the case. The acceptability of an argument for an action turns not only on what is true in the situation, but also on the values and aspirations of the agent to whom the argument is directed. There are three distinctive features of practical reasoning: first, that practical reasoning is situated in a context, directed towards a particular agent at a particular time; second, that since agents differ in their aspirations there is no right answer for all agents, and rational disagreement is always possible; third, that since no agent can specify the relative priority of its aspirations outside of a particular context, such prioritisation must be a product of practical reasoning and cannot be used as an input to it. In this paper we present a framework for practical reasoning which accommodates these three distinctive features. We use the notion of argumentation frameworks to capture the first feature. An extended form of argumentation framework in which values and aspirations can be represented is used to allow divergent opinions for different audiences, and complexity results relating to the extended framework are presented. We address the third feature using a formal description of a dialogue from which preferences over values emerge. Soundness and completeness results for these dialogues are given.

AIJ Journal 2007 Journal Article

Computational properties of argument systems satisfying graph-theoretic constraints

  • Paul E. Dunne

One difficulty that arises in abstract argument systems is that many natural questions regarding argument acceptability are, in general, computationally intractable having been classified as complete for classes such as np, co-np, and Π 2 p. In consequence, a number of researchers have considered methods for specialising the structure of such systems so as to identify classes for which efficient decision processes exist. In this paper the effect of a number of graph-theoretic restrictions is considered: k-partite systems ( k ⩾ 2 ) in which the set of arguments may be partitioned into k sets each of which is conflict-free; systems in which the numbers of attacks originating from and made upon any argument are bounded; planar systems; and, finally, those of k-bounded treewidth. For the class of bipartite graphs, it is shown that determining the acceptability status of a specific argument can be accomplished in polynomial-time under both credulous and sceptical semantics. In addition we establish the existence of polynomial time methods for systems having bounded treewidth when deciding the following: whether a given (set of) arguments is credulously accepted; if the system has a non-empty preferred extension; has a stable extension; is coherent; has at least one sceptically accepted argument. In contrast to these positive results, however, deciding whether an arbitrary set of arguments is “collectively acceptable” remains np-complete in bipartite systems. Furthermore for both planar and bounded degree systems the principal decision problems are as hard as the unrestricted cases. In deriving these latter results we introduce various concepts of “simulating” a general argument system by a restricted class so allowing any argument system to be translated to one which has both bounded degree and is planar. Finally, for the development of basic argument systems to so-called “value-based frameworks”, we present results indicating that decision problems known to be intractable in their most general form remain so even under quite severe graph-theoretic restrictions. In particular the problem of deciding “subjective acceptability” continues to be np-complete even when the underlying graph is a binary tree.

AAAI Conference 2007 Conference Paper

Logic for Automated Mechanism Design — A Progress Report

  • Michael Wooldridge
  • Paul E. Dunne

Over the past half decade, we have been exploring the use of logic in the specification and analysis of computational economic mechanisms. We believe that this approach has the potential to bring the same benefits to the design and analysis of computational economic mechanisms that the use of temporal logics and model checking have brought to the specification and analysis of reactive systems. In this paper, we give a survey of our work. We first discuss the use of cooperation logics such as Alternating-time Temporal Logic (ATL) for the specification and verification of mechanisms such as social choice procedures. We motivate the approach, and then discuss the work we have done on extensions to ATL to support incomplete information, preferences, and quantification over coalitions. We then discuss is the use of ATL-like cooperation logics in the development of social laws.

AIJ Journal 2006 Journal Article

On the computational complexity of coalitional resource games

  • Michael Wooldridge
  • Paul E. Dunne

We study Coalitional Resource Games (crgs), a variation of Qualitative Coalitional Games (qcgs) in which each agent is endowed with a set of resources, and the ability of a coalition to bring about a set of goals depends on whether they are collectively endowed with the necessary resources. We investigate and classify the computational complexity of a number of natural decision problems for crgs, over and above those previously investigated for qcgs in general. For example, we show that the complexity of determining whether conflict is inevitable between two coalitions with respect to some stated resource bound (i. e. , a limit value for every resource) is co-np-complete. We then investigate the relationship between crgs and qcgs, and in particular the extent to which it is possible to translate between the two models. We first characterise the complexity of determining equivalence between crgs and qcgs. We then show that it is always possible to translate any given crg into a succinct equivalent qcg, and that it is not always possible to translate a qcg into an equivalent crg; we establish some necessary and some sufficient conditions for a translation from qcgs to crgs to be possible, and show that even where an equivalent crg exists, it may have size exponential in the number of goals and agents of its source qcg.

AILAW Journal 2005 Journal Article

A Value-based Argument Model of Convention Degradation

  • Paul E. Dunne

Abstract The analysis of how social conventions emerge and become established is rightly viewed as a significant study of great relevance to models of legal and social systems. Such conventions, however, do not operate in a monotonic fashion, i. e. the fact that a convention is recognised and complied with at some instant is no guarantee it will continue to be so indefinitely. In total rules and protocols may evolve, with or without the consent of individual members of the society, even to the extent that some cease to be observed or effective. In this paper we examine a framework for examining such changes in behavioural conventions that uses a proposed “taxonomy of social conventions” as the basis of a qualitative model deriving from value-based argument systems.

IJCAI Conference 2005 Conference Paper

Discovering Inconsistency through Examination Dialogues

  • Paul E. Dunne
  • Sylvie Doutre
  • Trevor

In this paper we introduce examination dialogues, an addition to the dialogue typology of Walton and Krabbe. In educational settings the purpose of dialogue is often to elicit the position of a student, e. g. to test understanding. In other settings, a frequently adopted tactic is to attack an opponent’s stance by exposing internal inconsistencies in their argument. In real debate such inconsistencies will often be rather more subtle than elementary logical fallacies since they arise from contradictions apparent in the opponent’s value system. Protagonists will be better positioned to judge the applicability of this tactic as more information is determined concerning the exact nature of their opponent’s case, e. g. the arguments favoured and values endorsed. One obstacle, however, is that following a request to state a view, the challenged party may refuse to comment. In this paper we present an approach to modelling the evolution of examination dialogues based on the concept of value-based argument frameworks and outline some algorithmic issues regarding argument selection.

KER Journal 2005 Journal Article

Multiagent resource allocation

  • Yann Chevaleyre
  • Paul E. Dunne
  • Ulle Endriss
  • Jérôme Lang
  • Nicolas Maudet
  • Juan A. Rodríguez-Aguilar

Resource allocation in multiagent systems is a central research issue in the AgentLink community. The aim of the Technical Forum Group on Multiagent Resource Allocation (TFG-MARA) is to provide a venue for the exchange of ideas in this area and to foster collaboration between different research groups. In this article we report on the first meeting of TFG-MARA, which was held as part of the Second AgentLink III Technical Forum in Ljubljana.

AIJ Journal 2005 Journal Article

The complexity of contract negotiation

  • Paul E. Dunne
  • Michael Wooldridge
  • Michael Laurence

The use of software agents for automatic contract negotiation in e-commerce and e-trading environments has been the subject of considerable recent interest. A widely studied abstract model considers the setting in which a set of agents have some collection of resources shared out between them and attempt to construct a mutually beneficial optimal reallocation of these by trading resources. The simplest such trades are those in which a single agent transfers exactly one resource to another—so-called ‘one-resource-at-a-time’ or ‘O-contracts’. In this research note we consider the computational complexity of a number of natural decision problems in this setting.

JELIA Conference 2004 Conference Paper

Complexity in Value-Based Argument Systems

  • Paul E. Dunne
  • Trevor J. M. Bench-Capon

Abstract We consider a number of decision problems formulated in value-based argumentation frameworks (VAFs), a development of Dung’s argument systems in which arguments have associated abstract values which are considered relative to the orderings induced by the opinions of specific audiences. In the context of a single fixed audience, it is known that those decision questions which are typically computationally hard in the standard setting admit efficient solution methods in the value-based setting. In this paper we show that, in spite of this positive property, there still remain a number of natural questions that arise solely in value-based schemes for which there are unlikely to be efficient decision processes.

JELIA Conference 2004 Conference Paper

Representation and Complexity in Boolean Games

  • Paul E. Dunne
  • Wiebe van der Hoek

Abstract Boolean games are a class of two-player games which may be defined via a Boolean form over a set of atomic actions. A particular game on some form is instantiated by partitioning these actions between the players – player 0 and player 1 – each of whom has the object of employing its available actions in such a way that the game’s outcome is that sought by the player concerned, i. e. player i tries to bring about the outcome i. In this paper our aim is to consider a number of issues concerning how such forms are represented within an algorithmic setting. We introduce a concept of concise form representation and compare its properties in relation to the more frequently used “extensive form” descriptions. Among other results we present a “normal form” theorem that gives a characterisation of winning strategies for each player. Our main interest, however, lies in classifying the computational complexity of various decision problems when the game instance is presented as a concise form. Among the problems we consider are: deciding existence of a winning strategy given control of a particular set of actions; determining whether two games are “equivalent”.

AIJ Journal 2003 Journal Article

Two party immediate response disputes: Properties and efficiency

  • Paul E. Dunne
  • T.J.M. Bench-Capon

Two Party Immediate Response Disputes (tpi-disputes) are one class of dialogue or argument game in which the protagonists take turns producing counter arguments to the ‘most recent’ argument advanced by their opponent. Argument games have been found useful as a means of modelling dialectical discourse and in providing semantic bases for proof theoretic aspects of reasoning. In this article we consider a formalisation of tpi-disputes in the context of finite Argument Systems. Our principal concern may, informally, be phrased as follows: given a specific argument system, H, and argument x within H, what can be stated concerning the number of moves a dispute might take for one of its protagonists to accept that x has some defence respectively cannot be defended?

AIJ Journal 2002 Journal Article

Coherence in finite argument systems

  • Paul E. Dunne
  • T.J.M. Bench-Capon

Argument Systems provide a rich abstraction within which divers concepts of reasoning, acceptability and defeasibility of arguments, etc. , may be studied using a unified framework. Two important concepts of the acceptability of an argument p in such systems are credulous acceptance to capture the notion that p can be ‘believed’; and sceptical acceptance capturing the idea that if anything is believed, then p must be. One important aspect affecting the computational complexity of these problems concerns whether the admissibility of an argument is defined with respect to ‘preferred’ or ‘stable’ semantics. One benefit of so-called ‘coherent’ argument systems being that the preferred extensions coincide with stable extensions. In this note we consider complexity-theoretic issues regarding deciding if finitely presented argument systems modelled as directed graphs are coherent. Our main result shows that the related decision problem is Π 2 (p)-complete and is obtained solely via the graph-theoretic representation of an argument system, thus independent of the specific logic underpinning the reasoning theory.

NMR Workshop 2002 Conference Paper

On concise encodings of preferred extensions

  • Paul E. Dunne

Argument Systems provide a rich abstraction within which divers concepts of reasoning, acceptability and defeasibility of arguments, etc., may be studied using a unified framework. Much work has focused on the so-called preferred extensions of such systems, which define the maximal (with respect to C) collectively defensible subsets of arguments within a given system of arguments and attack relationship. In this article we address problems related to the following issue. Identification and enumeration of preferred extensions of an argument system is (under the usual complexity theoretic assumptions) computationally demanding: there may be exponentially many and deciding if a given subset S$ of # does define a preferred set is CO-NP-complete. For a domain which is questioned ‘frequently’ it may be acceptable to invest this computational effort once, but having done so it is desirable to encapsulate these data in a form which is compact and allows, for example, questions concerning the acceptability of specific arguments to be dealt with efficiently. In this article we consider two ‘plausible’ approaches to reducing the complexity of deciding if S is a preferred extension of asystem H both of which assume some initial potentially ‘expensive’ precomputation, invested to reduce time needed in subsequent queries to the system. The first approach examines ‘reasonable encoding’ approaches; the second is to determine the subset of all defensible arguments providing these as additional data when attempting to decide if S is a preferred extension. It is shown that if certain properties are required of the encoding scheme, then the former approach is feasible only if NP = CO-NP. In the latter case, we show that, even if provided with information regarding which arguments are credulously accepted, the question of whether a subset of arguments defines a preferred extension remains CO- NP-complete.

AIJ Journal 1997 Journal Article

The maximum length of prime implicates for instances of 3-SAT

  • Paul E. Dunne
  • Trevor J.M. Bench-Capon

Schrag and Crawford (1996) present strong experimental evidence that the occurrence of prime implicates of varying lengths in random instances of 3-SAT exhibits behaviour similar to the well-known phase transition phenomenon associated with satisfiability. Thus, as the ratio of number of clauses (m) to number of prepositional variables (n) increases, random instances of 3-SAT progress from formulae which are generally satisfiable through to formulae which are generally not satisfiable, with an apparent sharp threshold being crossed when m/n ∼ 4. 2. For instances of 3-SAT, Schrag and Crawford (1996) examine with what probability the longest prime implicate has length k (for k ⩾ 0)—unsatisfiable formulae correspond to those having only a prime implicate of length 0—demonstrating that similar behaviour arises. It is observed by Schrag and Crawford (1996) that experiments failed to identify any instance of 3-SAT over nine propositional variables having a prime implicate of length 7 or greater, and it is conjectured that no such instances are possible. In this note we present a combinatorial argument establishing that no 3-SAT instance on n variables can have a prime implicate whose length exceeds max {[n/2] + 1, [2n/3]}, validating this conjecture for the case n = 9. We further show that these bounds are the best possible. An easy corollary of the latter constructions is that for all k > 3, instances of k-SAT on n variables can be formed, that have prime implicates of length n − o(n).