A LOGIC OF ARGUMENTATION FOR REASONING UNDER UNCERTAINTY

Citation
P. Krause et al., A LOGIC OF ARGUMENTATION FOR REASONING UNDER UNCERTAINTY, Computational intelligence, 11(1), 1995, pp. 113-131
Citations number
43
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence
Journal title
ISSN journal
08247935
Volume
11
Issue
1
Year of publication
1995
Pages
113 - 131
Database
ISI
SICI code
0824-7935(1995)11:1<113:ALOAFR>2.0.ZU;2-T
Abstract
We present the syntax and proof theory of a logic of argumentation, LA . We also outline the development of a category theoretic semantics fo r LA. LA is the core of a proof theoretic model for reasoning under un certainty. In this logic, propositions are labeled with a representati on of the arguments which support their validity. Arguments may then b e aggregated to collect more information about the potential validity of the propositions of interest. We make the notion of aggregation pri mitive to the logic, and then define strength mappings from sets of ar guments to one of a number of possible dictionaries. This provides a u niform framework which incorporates a number of numerical and symbolic techniques for assigning subjective confidences to propositions on th e basis of their supporting arguments. These aggregation techniques ar e also described with examples.