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JELIA 2004

Complexity in Value-Based Argument Systems

Conference Paper Complexity Issues Artificial Intelligence · Knowledge Representation · Logic in Computer Science

Abstract

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.

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Context

Venue
European Conference on Logics in Artificial Intelligence
Archive span
2000-2023
Indexed papers
542
Paper id
568408064661961428
v2026.09.13