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Guest Editorial Argumentation-Based Reasoning
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DOI：10.1109/MIS.2021.3053102.png)
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Abstract
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The papers in this special section focus on augmentation-based reasoning. Real-world knowledge-based systems must deal with information coming from different sources, leading to uncertainty due to incompleteness, inconsistency, and/or inherent uncertainty (such as the uncertainty present in very complex systems such as the stock market or the weather). Instead of considering such uncertain information to be useless, knowledge engineers face the challenge of putting it to good use when solving a wide range of problems. Argumentation is a useful approach in this setting: Reasons for and against a claim are analyzed to decide on an outcome, much in the same way as organized human discussions are carried out.1-5 An important byproduct of such analyses is an accompanying explanation that can be leveraged to decide if there is information that should be used differently, discarded, or there is further information to be contemplated.
Keywords:
Special sections and issues
Knowledge based systems
Information systems
Design methodology
Intelligent systems
Semantics
Cognition
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