纪念:罗杰·C·尚克,1946–2023

IF 2.5 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ai Magazine Pub Date : 2023-07-31 DOI:10.1002/aaai.12106
Richard Granger, David Leake, Christopher K. Riesbeck
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He questioned everything, especially (and gleefully) focusing on topics that were supposed to be canon.  He came in, broke things apart, and built new things in their place. In linguistics, he rejected the Chomskyian approach to divorce the study of language from the study of meaning, with his seminal work on semantic primitives. In AI, where language processing focused on the propositions, he argued for the importance of much larger memory structures such as scripts and plans, and for memory processes, such as remindings, for modeling understanding. He argued for examples, that is, cases, rather than logical rules, for modeling human reasoning. Much of his work elicited initial pushback, which then transitioned to wary toleration, and finally arrived at such widespread acceptance that now his ideas are often assumed without attribution.</p><p>Roger relished debate, and engaged avidly in ongoing discourse on the issues he studied.  Where many labs have weekly “discussions” or “chats”, Roger fashioned weekly “Friday fights” and an “Indefensible position” seminar. One facet of these was the Socratic investigation of complex topics; another was as a crucible for the courage to make bold claims and the skills to distill, defend, and question them.  He questioned loudly. But under the disputative bearing, to those who knew and worked with him he had abundant loyalty and good will.</p><p>He was an explorer of the mind and of the world, an astute observer of humans and human nature: an intuitive psychologist. He had a knack for identifying key questions, always noticing customs, behaviors, and anomalies to explain, gathering data and categorizing to generate theories. His travels and knowledge of wine and food were a rich source of examples for his work and camaraderie.  He did things in a big way, from academic passions like studying how language and the mind work and how people learn, to personal passions like food and football. Many stories about Roger occur at restaurants because meals were events. Many fans watch weekend football, but Roger created a room with half a dozen separate TVs, most with picture in picture, to monitor a dozen games simultaneously.</p><p>Roger believed strongly in developing communities, not only in research labs and departments, but at the national and international level. He founded new fields in order to create lasting communities of like minds, in cognitive science and education. His studies of human memory led to launching the field of case-based reasoning, holding its 31st international conference this year. He was a co-founder of the field of Cognitive Science, the Cognitive Science Society, and the journal <i>Cognitive Science</i>. His PhD students at Stanford, Yale, and Northwestern, along with many developers, artists, and content creators at his companies and the Institute for the Learning Sciences will attest to the communities and cultural traditions he established over and over. For example, it is not unusual to hold a party when a PhD student finishes their dissertation, but Roger's parties had an extra. Every student with a PhD (prior and current) had to present a talent (real, imagined, feigned, or facetious) to the group, culminating with the new PhD revealing their secret talent. This ritual created a human connection among students beyond the academic.</p><p>As his passion shifted to education, he led establishment of the field of the Learning Sciences, combining education, cognitive science, and computer science. In 1989 at Northwestern, he formed the Institute for the Learning Sciences and created the first Learning Sciences MS and PhD programs in the School of Education. He pioneered the study of stories in AI, spurring development of innovative story-based educational environments. He was himself a great story-teller; he used stories to connect, illuminate, and educate, both in his personal life and in his books.</p><p>Finally, Roger cared deeply about impact. Long before the startup culture arose as a way for faculty to commercialize their ideas, Roger started companies because he believed that changes in how people should interact with technology, and how education should be done, would mainly happen through the business world. 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引用次数: 0

摘要

罗杰·尚克(Roger Schank)职业生涯的总结最初可能对一位杰出的学者来说相当典型。1969年,罗杰在得克萨斯大学奥斯汀分校获得语言学博士学位后,曾在斯坦福大学语言学和计算机科学、耶鲁大学计算机科学和心理学以及西北大学计算机科学与教育学院担任教职。他曾在耶鲁大学和西北大学担任计算机科学系主任。西北大学毕业后,他担任卡内基梅隆大学硅谷校区的首席教育官。他写了30多本书,涵盖人工智能、认知科学、心理学和教育。他为近50名博士生提供咨询。他是AAAI的会员。但这些年来与罗杰共事或互动的数百人都知道,罗杰并没有什么典型之处。罗杰是一股自然的力量。他质疑一切,尤其是(高兴地)关注那些本应是正典的话题。他进来了,把东西拆开,在它们的位置上建造新的东西。在语言学方面,他拒绝了乔姆斯基的方法,即将语言研究与意义研究分开,并在语义原语方面进行了开创性的工作。在人工智能中,语言处理侧重于命题,他认为更大的记忆结构(如脚本和计划)的重要性,以及记忆过程(如回忆)对理解建模的重要性。他为人类推理建模举例,即案例,而不是逻辑规则。他的大部分作品最初都遭到了抵制,后来转变为谨慎的宽容,最终被广泛接受,以至于现在他的想法往往被认为没有归属。罗杰喜欢辩论,并热衷于就他所研究的问题进行持续的讨论。在许多实验室每周都会进行“讨论”或“聊天”的地方,罗杰每周都会举办“周五打架”和“不可辩护的立场”研讨会。其中一个方面是对复杂主题的苏格拉底式调查;另一个则是培养大胆主张的勇气和提炼、辩护和质疑这些主张的技能。他大声质问。但在争论的气氛下,对于那些认识他并与他共事的人来说,他有着丰富的忠诚和善意。他是心灵和世界的探索者,是人类和人性的敏锐观察者:一位直觉心理学家。他有识别关键问题的诀窍,总是注意到需要解释的习俗、行为和异常现象,收集数据并进行分类以生成理论。他的旅行以及对葡萄酒和食物的了解是他工作和同志情谊的丰富例证。他做了很多事情,从研究语言和思维如何运作以及人们如何学习等学术激情,到食物和足球等个人激情。很多关于罗杰的故事都发生在餐馆里,因为吃饭是大事。许多球迷观看周末的足球比赛,但罗杰创造了一个房间,里面有六台独立的电视,大多数都是画中画的,可以同时观看十几场比赛。罗杰坚信发展社区,不仅在研究实验室和部门,而且在国家和国际层面。他创立了新的领域,以便在认知科学和教育领域建立持久的志同道合的社区。他对人类记忆的研究开创了基于案例的推理领域,并于今年举行了第31届国际会议。他是认知科学领域、认知科学学会和《认知科学》杂志的联合创始人。他在斯坦福大学、耶鲁大学和西北大学的博士生,以及他的公司和学习科学研究所的许多开发人员、艺术家和内容创作者,将证明他一次又一次建立的社区和文化传统。例如,当博士生完成论文时举办派对并不罕见,但罗杰的派对有额外的派对。每个拥有博士学位的学生(以前和现在)都必须向团队展示一种天赋(真实的、想象的、假装的或滑稽的),最终新的博士学位揭示了他们的秘密天赋。这种仪式在学生之间创造了一种超越学术的人际关系。随着他的热情转向教育,他领导了学习科学领域的建立,将教育、认知科学和计算机科学相结合。1989年,他在西北大学成立了学习科学研究所,并在教育学院创建了第一个学习科学硕士和博士项目。他开创了人工智能故事研究的先河,推动了基于故事的创新教育环境的发展。他自己是一个伟大的故事讲述者;他在个人生活和书籍中都用故事来连接、阐释和教育。最后,罗杰非常关心影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In Memoriam: Roger C. Schank, 1946–2023

A summary of Roger Schank's career might initially appear fairly typical for an eminent academic. Following a PhD in linguistics at the University of Texas at Austin in 1969, Roger held faculty positions in linguistics and computer science at Stanford, computer science and psychology at Yale, and computer science and education at Northwestern. He served terms as chair of computer science at both Yale and Northwestern. After Northwestern, he was Chief Educational Officer for Carnegie Mellon's Silicon Valley campus. He authored over 30 books spanning AI, cognitive science, psychology and education. He advised nearly 50 PhD students. He was a Fellow of AAAI.

But the hundreds of people who worked or interacted with Roger over the years know there was nothing typical about him. Roger was a force of nature. He questioned everything, especially (and gleefully) focusing on topics that were supposed to be canon.  He came in, broke things apart, and built new things in their place. In linguistics, he rejected the Chomskyian approach to divorce the study of language from the study of meaning, with his seminal work on semantic primitives. In AI, where language processing focused on the propositions, he argued for the importance of much larger memory structures such as scripts and plans, and for memory processes, such as remindings, for modeling understanding. He argued for examples, that is, cases, rather than logical rules, for modeling human reasoning. Much of his work elicited initial pushback, which then transitioned to wary toleration, and finally arrived at such widespread acceptance that now his ideas are often assumed without attribution.

Roger relished debate, and engaged avidly in ongoing discourse on the issues he studied.  Where many labs have weekly “discussions” or “chats”, Roger fashioned weekly “Friday fights” and an “Indefensible position” seminar. One facet of these was the Socratic investigation of complex topics; another was as a crucible for the courage to make bold claims and the skills to distill, defend, and question them.  He questioned loudly. But under the disputative bearing, to those who knew and worked with him he had abundant loyalty and good will.

He was an explorer of the mind and of the world, an astute observer of humans and human nature: an intuitive psychologist. He had a knack for identifying key questions, always noticing customs, behaviors, and anomalies to explain, gathering data and categorizing to generate theories. His travels and knowledge of wine and food were a rich source of examples for his work and camaraderie.  He did things in a big way, from academic passions like studying how language and the mind work and how people learn, to personal passions like food and football. Many stories about Roger occur at restaurants because meals were events. Many fans watch weekend football, but Roger created a room with half a dozen separate TVs, most with picture in picture, to monitor a dozen games simultaneously.

Roger believed strongly in developing communities, not only in research labs and departments, but at the national and international level. He founded new fields in order to create lasting communities of like minds, in cognitive science and education. His studies of human memory led to launching the field of case-based reasoning, holding its 31st international conference this year. He was a co-founder of the field of Cognitive Science, the Cognitive Science Society, and the journal Cognitive Science. His PhD students at Stanford, Yale, and Northwestern, along with many developers, artists, and content creators at his companies and the Institute for the Learning Sciences will attest to the communities and cultural traditions he established over and over. For example, it is not unusual to hold a party when a PhD student finishes their dissertation, but Roger's parties had an extra. Every student with a PhD (prior and current) had to present a talent (real, imagined, feigned, or facetious) to the group, culminating with the new PhD revealing their secret talent. This ritual created a human connection among students beyond the academic.

As his passion shifted to education, he led establishment of the field of the Learning Sciences, combining education, cognitive science, and computer science. In 1989 at Northwestern, he formed the Institute for the Learning Sciences and created the first Learning Sciences MS and PhD programs in the School of Education. He pioneered the study of stories in AI, spurring development of innovative story-based educational environments. He was himself a great story-teller; he used stories to connect, illuminate, and educate, both in his personal life and in his books.

Finally, Roger cared deeply about impact. Long before the startup culture arose as a way for faculty to commercialize their ideas, Roger started companies because he believed that changes in how people should interact with technology, and how education should be done, would mainly happen through the business world. While at Yale, he started Cognitive Systems for building knowledge-rich intelligent systems, and Compu-Teach for building K-12 educational systems for personal computers. While at Northwestern he started Cognitive Arts and later Socratic Arts to develop learn-by-doing systems for training and education. In 2000 he left academics to focus on nothing less than transforming education with systems to support hands-on project-based teaching.

His website lists some of the topics he cared about: “Making school less miserable for kids”, “fixing corporate training”, “getting the right information to people at the right time” “building the right kind of artificial intelligence systems”, “empowering people to develop effective learning experiences”, and, always and most importantly, “understanding how the human mind works”.

Roger will be missed, but he also will still be here: his work continues to have a persistent and profound impact on a range of fields that are focused on the scientific study of the human mind.

The authors declare that there is no conflict.

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来源期刊
Ai Magazine
Ai Magazine 工程技术-计算机:人工智能
CiteScore
3.90
自引率
11.10%
发文量
61
审稿时长
>12 weeks
期刊介绍: AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.
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