Scalable uncertainty management
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Accepted version
Author(s)
Rago, Antonio
Baroni, Pietro
Toni, Francesca
Type
Conference Paper
Abstract
Several gradual semantics for abstract and bipolar argumentation have been proposed in the literature, ascribing to each argument a value taken from a scale, i.e. an ordered set. These values somewhat match the arguments’ dialectical status and provide an indication of their dialectical strength, in the context of the given argumentation framework. These research efforts have been complemented by formulations of several properties that these gradual semantics may satisfy. More recently a synthesis of many literature properties into more general groupings based on parametric definitions has been proposed. In this paper we show how this generalised parametric formulation enables the identification of new properties not previously considered in the literature and discuss their usefulness to capture alternative requirements coming from different application contexts.
Date Issued
2018-10-03
Date Acceptance
2018-06-13
Citation
Lecture Notes in Artificial Intelligence
ISSN
0302-9743
Publisher
Springer Verlag
Journal / Book Title
Lecture Notes in Artificial Intelligence
Copyright Statement
This paper is embargoed until publication.
Source
Scalable Uncertainty Management (SUM 2018)
Subjects
08 Information And Computing Sciences
Artificial Intelligence & Image Processing
Publication Status
Accepted
Start Date
2018-10-03
Finish Date
2018-10-05
Coverage Spatial
Milan, Italy