The current issue of Topics in Cognitive Science comprises two topics, both of which are devoted to award‐winning research: one to the Rumelhart Prize and one to the Best Papers from the Cognitive Science Society Conference.

Our lead topic honors Michael K. Tanenhaus, the eighteenth recipient of the David E. Rumelhart Prize. Tanenhaus received this award in 2018 for transforming “our understanding of human language and its relation to perception, action, and communication”—a field he has been working in for over 40 years. His achievements, his contributions to cognitive science, and his mentorship to numerous students, postdocs, and colleagues are expertly summarized by John Trueswell, who organized this topic and has served as editor for the three contributions to it. In his introduction, Trueswell also explains why Tanenhaus, instead of choosing from an army of former students, invited as contributors to his symposium colleagues he considered influential for his own work. The selection begins with a historical review by Dana H. Ballard and Ruohan Zhang of how computational models of human vision have evolved since David Marr proposed his three‐level model, and how algorithm descriptions were again refined into distinct levels over time. Herbert Clark then highlights a neglected issue in research on language use—the anchoring of utterances to various aspects of the situation—and points out the perils for the field of ignoring this key process. Finally, Meredith Brown and Laura Dilley, together with Michael Tanenhaus, present an account of word recognition and segmentation that focuses on syllable inference as a mechanism for the understanding of spoken language.

The topiCS team wishes to take this opportunity to congratulate all recipients of CSS prizes for their awards and for the outstanding work that earned them these awards—kudos!

本期《认知科学主题》包含两个主题，两个主题均致力于获奖研究：一个是鲁梅尔哈特奖，另一个是认知科学学会会议的最佳论文。

我们的主要主题是向第十八位大卫·E·鲁梅尔哈特奖获得者迈克尔·K·塔恩豪斯 (Michael K. Tanenhaus) 致敬。Tanenhaus 于 2018 年获得此奖项，以表彰他改变了“我们对人类语言的理解及其与感知、行动和沟通的关系”——他在这个领域已经工作了 40 多年。John Trueswell 专业地总结了他的成就、他对认知科学的贡献以及他对众多学生、博士后和同事的指导，他组织了这个主题并担任了该主题的三篇文章的编辑。在他的介绍中，特鲁斯韦尔还解释了为什么塔南豪斯没有从一群以前的学生中进行选择，而是邀请他认为对自己的工作有影响力的研讨会同事作为撰稿人。该选择首先由 Dana H. Ballard 和张若涵回顾了自 David Marr 提出三级模型以来人类视觉计算模型如何演变，以及算法描述如何随着时间的推移再次细化为不同的级别。赫伯特·克拉克随后强调了语言使用研究中一个被忽视的问题——将话语锚定到情境的各个方面——并指出了该领域忽视这一关键过程的危险。最后，梅雷迪思·布朗 (Meredith Brown) 和劳拉·迪利 (Laura Dilley) 以及迈克尔·塔恩豪斯 (Michael Tanenhaus) 介绍了单词识别和分段，重点关注音节推理作为口语理解的机制。

topicCS团队希望借此机会祝贺所有 CSS 奖获得者，以及为他们赢得这些奖项的杰出工作——荣誉！