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.

中文翻译：

---

客座社论基于论证的推理


本专题部分的论文重点关注基于增强的推理。现实世界的基于知识的系统必须处理来自不同来源的信息，从而由于不完整性、不一致和/或固有的不确定性（例如股票市场或天气等非常复杂的系统中存在的不确定性）而导致不确定性。知识工程师并没有认为这些不确定的信息毫无用处，而是面临着在解决各种问题时充分利用这些信息的挑战。在这种情况下，论证是一种有用的方法：分析支持和反对某个主张的理由来决定结果，这与进行有组织的人类讨论的方式非常相似。1-5 此类分析的一个重要副产品是附带的解释，可以用来决定是否有应该以不同方式使用、丢弃的信息，或者还有需要考虑的进一步信息。