Abstract
We briefly discuss the argumentation-paradigm as a unifying framework for practical reasoning and then turn to the definition of a system of argumentation that induces a novel concept of logical uncertainty over conclusions drawn from inconsistent databases.
Preview
Unable to display preview. Download preview PDF.
References
S. Benferhat, D. Dubois and H. Prade. Argumentative inference in uncertain and inconsistent knowledge bases. UAI'93. Pp. 411–419.
D. Dubois and H. Prade. Possibility Theory: An Approach to Computerised Processing of Uncertainty. Plenum Press, New York. 1988.
D. Dubois and H. Prade. An Introduction to Possibilistic and Fuzzy Logics. In: Non-Standard Logics for Automated Reasoning. Academic Press, London. 1988.
P.M. Dung. On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming, and human's social and economic affairs. Accepted for IJCAI'93.
M. Elvang-Gøransson, J. Fox and P. Krause. Dialectic reasoning with inconsistent information. UAI'93. Pp. 114–121.
P. Gärdenfors. Knowledge in flux. MIT Press. 1988.
F. Lin and Y. Shoham. Argument systems: a uniform basis for nonmonotonic reasoning. KR'89. Pp. 245–255.
G. Pinkas and R.P. Loui. Reasoning from inconsistency: a taxonomy of principles for resolving conflict. KR'92. Pp. 709–719.
G. Wagner. Ex contradictione nihil sequitur. IJCAI'91. Pp. 538–543.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Elvang-Gøransson, M., Krause, P.J., Fox, J. (1993). Acceptability of arguments as ‘logical uncertainty’. In: Clarke, M., Kruse, R., Moral, S. (eds) Symbolic and Quantitative Approaches to Reasoning and Uncertainty. ECSQARU 1993. Lecture Notes in Computer Science, vol 747. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028186
Download citation
DOI: https://doi.org/10.1007/BFb0028186
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-57395-1
Online ISBN: 978-3-540-48130-0
eBook Packages: Springer Book Archive