Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has been challenged and complemented by research in areas such as machine learning and reasoning under uncertainty. In July 2022 a Dagstuhl Perspectives workshop was held on Knowledge Representation and Reasoning. The goal of the workshop was to describe the state of the art in the field, including its relation with other areas, its shortcomings and strengths, together with recommendations for future progress. We developed this manifesto based on the presentations, panels, working groups, and discussions that took place at the Dagstuhl Workshop. It is a declaration of our views on Knowledge Representation: its origins, goals, milestones, and current foci; its relation to other disciplines, especially to Artificial Intelligence; and on its challenges, along with key priorities for the next decade.

翻译：知识表示与推理是人工智能领域中一个核心、历史悠久且充满活力的研究方向。多年来，该领域已发生显著演变；近年来，机器学习与不确定性推理等领域的研究对其提出了挑战并形成了互补。2022年7月，达格斯图尔视角研讨会围绕知识表示与推理展开。本次研讨会的目标是阐述该领域的技术现状，包括其与其他领域的关系、优势与不足，并为未来发展提出建议。基于达格斯图尔研讨会期间的演讲、专题讨论、工作小组及交流成果，我们撰写了这份宣言。它阐明了我们对知识表示的立场：其起源、目标、里程碑与当前焦点；其与人工智能等其他学科的关系；以及未来十年面临的关键挑战与优先研究方向。