Towards a formal framework for the search of a consensus between autonomous agents

Amgoud, Leïla; Belabbès, Sihem; Prade, Henri

doi:10.1145/1082473.1082555

Cited by 19 publications

(13 citation statements)

References 6 publications

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“…This seriously differentiates our work from other important works in the domain such as [2], [7], [1], [9], etc. A similar combination of epistemic and practical arguments is proposed in [4] but in a 441-448 deliberation dialogue.…”

Section: Introductionmentioning

confidence: 89%

“…These works have focused on several aspects of negotiation such as the problem of decision making (see e.g. [7], [1]), the study of specific types of negotiation such as interest based negotiation [9], whereas the work of [2] proposed a general framework for argumentation based negotiation where several interesting issues have been studied. These issues include the link between the status of the arguments and the offers they support, the definition of important concepts such as the concession and its impact on the evolution of the negotiation, etc.…”

Section: Related Work and Conclusionmentioning

confidence: 99%

“…[1], [7], [2], [8]), testifying the increasing importance that is attached to the role of argumentation in negotiation. Although a precise and formal account of the added value of argumentation in negotiation is still missing, it is at least clear that exchanging arguments revealing (at least some of) the reasons for which a Cite as: $ negotiator is proposing an offer may release several blocked situations.…”

Section: Introductionmentioning

confidence: 99%

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Argumentative Alternating Offers

Hadidi

Dimopoulos

Moraïtis

2011

Lecture Notes in Computer Science

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This paper presents an argumentative version of the well known alternating offers negotiation protocol. The negotiation mechanism is based on an abstract preference based argumentation framework where both epistemic and practical arguments are taken into consideration in order to decide about different strategic issues. Such issues are the offer that is proposed at each round, acceptance or refusal of an offer, concession or withdrawal from the negotiation. The argumentation framework shows clearly how offers are linked to practical arguments that support them, as well as how the latter are influenced by epistemic arguments. Moreover it illustrates how agents' argumentative theories evolution, due to the exchange of arguments, influences the negotiation outcome. Finally, a generic algorithm that implements a concession based negotiation strategy is presented.

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Section: Introductionmentioning

confidence: 89%

Section: Related Work and Conclusionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Argumentative Alternating Offers

Hadidi

Dimopoulos

Moraïtis

2011

Lecture Notes in Computer Science

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“…In recent years, dialogue systems for argumentation have received interest in several fields of AI, particularly in AI and law (Prakken 2000(Prakken , 2001 and agent communication and negotiation (Amgoud, Belabbes and Prade 2005;Bentahar, Moulin and Chaib-dra 2003). In argumentation Figure 9.…”

Section: Argumentationmentioning

confidence: 99%

The Challenge of Self-adaptive Systems for E-commerce

Weigand

Heuvel

2006

Group Decis Negot

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For future E-commerce systems that are engaged in many dynamic trading relationships, the ability to adapt themselves smoothly will increasingly become a critical property. In this paper, we first define the basic semantic structure of a collaborative process. Then we introduce a formal framework for selfadaptive systems. We argue that self-adaptive systems should specify goals explicitly, and propose a goalbased architecture. We further argue that for systems that operate in a shared environment with other systems, self-adaptation should be extended with co-adaptation. We define four levels of co-adaptation, and present an argumentation mechanism that can be used to enable co-adaptation at the higher levels.

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“…Argumentation is also used for modeling multi-agent interaction. Indeed, since the seminal work by Walton and Krabbe [33] on the different categories of dialogue, different argumentation-based systems have been proposed for persuasion dialogues [6,27], negotiation [2,21,22,26], and inquiry dialogues [10].…”

Section: Introductionmentioning

confidence: 99%

Agents that argue and explain classifications

Amgoud

Serrurier

2007

Auton Agent Multi-Agent Syst

Self Cite

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Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of arguments. In this paper, we apply this approach to the classification problem, whose purpose is to construct from a set of training examples a model that assigns a class to any new example.We propose a formal argumentation-based model that constructs arguments in favor of each possible classification of an example, evaluates them, and determines among the conflicting arguments the acceptable ones. Finally, a "valid" classification of the example is suggested. Thus, not only the class of the example is given, but also the reasons behind that classification are provided to the user as well in a form that is easy to grasp. We show that such an argumentation-based approach for classification offers other advantages, like for instance classifying examples even when the set of training examples is inconsistent, and considering more general preference relations between hypotheses. In the particular case of concept learning, the results of version space theory developed by Mitchell are retrieved in an elegant way in our argumentation framework. Finally, we show that the model satisfies the rationality postulates identified in argumentation literature. This ensures that the model delivers sound results 1 .

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Towards a formal framework for the search of a consensus between autonomous agents

Cited by 19 publications

References 6 publications

Argumentative Alternating Offers

Argumentative Alternating Offers

The Challenge of Self-adaptive Systems for E-commerce

Agents that argue and explain classifications

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