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Computational Logic and Argumentation |
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Argumentation is a powerful technique aiming at the evaluation of possible conclusions/claims by considering reasons for and against them.
These reasons (arguments and counter-arguments) provide support for and against the conclusions/claims,
through a mixture of dialectical and logical reasoning.
Although originally proposed within the realms of logic, philosophy, and law,
in the last decade argumentation has attracted wide interest in computing to understand and meet the challenges of a number of
applications characterised by the lack of certain, consistent and complete information,
and when numerical (e.g. statistical) information is not available or is only partially available.
The group is developing models, systems and applications of several incarnations of computational argumentation, some abstracts, other grounded in computational logic,
and studying relationships between these models and systems with other logic-based paradigms from knowledge representation and reasoning
in artificial intelligence, including (abductive) logic programming and non-monotonic reasoning.
The group is also exploring the automated extraction of argumentation frameworks from text, using natural language processing and machine learning.
Research in the group has strong theoretical underpinnings, but is driven by applications in several areas
including:
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