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Download Computational Models of Argument: Proceedings of COMMA 2008 by Philippe Besnard, Sylvie Doutre, Anthony Hunter PDF

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By Philippe Besnard, Sylvie Doutre, Anthony Hunter

This quantity of Computational versions of Argument specializes in the purpose to boost software program instruments to aid clients in developing and comparing arguments and counterarguments and/or to strengthen automatic platforms for developing and comparing arguments and counterarguments. a few articles supply a precious photo of the best examine questions within the zone of computational versions of argument, others draw at the wealth of analysis at the philosophical questions surrounding the notions bobbing up in argumentation, or handle wisdom illustration and reasoning concerns rising from modeling argumentation. in addition they think of applicable types of wider rhetorical matters coming up in argumentation and suggest and evaluation algorithmic options linked to producing and judging constellations of arguments. incorporated are articles featuring criteria for changing info linked to argumentation in order that diversified platforms can interact. moreover, a few articles file sensible operating instruments for computational argumentation.

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Extra resources for Computational Models of Argument: Proceedings of COMMA 2008

Sample text

In this paper we argue that the answer to this question is yes. Indeed, under the same protocol, different dialogs on the same subject may be generated, and some of them may be judged better than others. e. all the uttered arguments have an impact on the result of the dialog), iii) the behavior of agents was "ideal". In the paper, the behavior of an agent is analyzed on the basis of three main criteria: its degree of aggressiveness, its degree of loan, and its degree of coherence. In sum, different measures have been proposed in this paper for the quality of dialogs.

If ∀AF AF ∈ D S we will say that S is universally defined. Most literature semantics are universally defined, with the notable exception of stable semantics [4]. In the following we assume that the reader is familiar with the traditional grounded, complete, and preferred semantics, denoted as GR, CO, PR respectively. Their definition [4] can not be recalled here due to space limitation. It is well-known that grounded semantics belongs to the unique-status approach: the grounded extension of an argumentation framework AF will be denoted as GE(AF).

Agr(ai , aj , D⊕m) ≥ Agr(ai , aj , D) iff ∃α ∈ Args(Daj ) such that (Content(m), α) ∈ RL , and Agr(ai , aj , D ⊕ m) < Agr(ai , aj , D) otherwise. The second criterion concerns the source of arguments. An agent can build its arguments either from its own knowledge base, thus using its own formulas, or using formulas revealed by other agents in the dialog. In [2], this idea of borrowing formulas from other agents has been presented as one of the tactics used by agents for selecting the argument to utter at a given step of a dialog.

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