查尔斯·伊斯贝尔

查尔斯·伊斯贝尔

Charles Isbell
佐治亚理工学院交互式人工智能实验室主任
海外PC 优先级✓ 已收录 2 期访谈

立场时间线 6 条 · 6 个议题

同一议题按时间排列,说法变化一目了然。

行为可预测性
2020-11

个体行为高度重复,用简单计数统计即可高精度预测人的下一步行为

“任何个体都具有惊人的可预测性,因为你总是在重复做同样的事情。(“Any given individual is remarkably predictable. Because you keep doing the same things over and over again.”)”

来源访谈 →
相关观点 (1)朴俊成 · 模拟不完美:行为基础模型必须像普通人一样带有偏见与非理性地'犯错',这与追求超级理性的前沿大模型完全不同,后者模拟特定人群行为时准确率可能低至20%-30%。
智能的本质
计算科学范式
2020-11

计算学科的独特世界观在于认识到模型、语言和机器三者是等价的

“区分计算科学家的特质是...他理解模型、语言和机器是等价的,它们是同一回事。(“The thing that distinguishes the computationalist... is that he or she understands that models, languages, and machines are equivalent. They're the same thing.”)”

来源访谈 →
相关观点 (1)陶哲轩 · 数学方法论:数学区别于其他学科之处在于它从公理假设出发正向推导结论
科学传播
2020-11

认为大众科学传播粗俗的自我叙事是错误的,应当被纠正

“我们给自己讲了一个故事、一个叙事,认为[大众科学传播]是粗俗的...我认为这是错的。(“We have told ourselves a story, a narrative, that [popular science communication] is vulgar... I think that's wrong.”)”

来源访谈 →
客观性与权衡
2020-11

即便是客观的东西,最终也取决于讲故事、做决策和权衡取舍

“即使是客观的东西也成了目标,因为最终你必须讲故事、做决策、进行权衡。(“Even the objective is an objective because at the end, you've got to tell a story, you've got to make decisions, you've got to make trade-offs.”)”

来源访谈 →
相关观点 (1)陶哲轩 · 科学叙事:科学进步不仅是发现真理,更是讲故事说服同行;说服力与叙事能力难以量化、难以强化学习,可能是人类科学家长期保留的软性价值

金句墙 10 条

“Statistics is how you're going to keep from lying to yourself.”

统计学是让你不自欺欺人的方法。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“ICML was machine learning done by computer scientists, and NeurIPS was machine learning done by computer scientists trying to impress statisticians.”

ICML是计算机科学家做的机器学习,而NeurIPS是计算机科学家试图给统计学家留下深刻印象的机器学习。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“Chemistry is just physics, but I don't think it's as useful to think about chemistry as being just physics.”

化学只是物理学,但我认为将化学仅仅视为物理学并不那么有用。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“You have to give them what they need without bending to their will.”

你必须给予他们所需的东西,同时不屈服于他们的意志。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“The reward for good work is more work. The reward for bad work is less work.”

出色工作的奖励是更多的工作,糟糕工作的奖励是更少的工作。

机器学习不仅是统计:Isbell与Littman的跨学科对话 · 2020/12/26

“Any given individual is remarkably predictable. Because you keep doing the same things over and over again.”

任何个体都具有惊人的可预测性,因为你总是在重复做同样的事情。

计算的本质是模型、语言与机器的等价 · 2020/11/2

“Being intelligent in and of myself in isolation is a meaningless act. The correct answer is you have to be intelligent in the way that you interact with others.”

孤立的自我智能毫无意义。正确的答案是,你必须通过与他人互动的方式来展现智能。

计算的本质是模型、语言与机器的等价 · 2020/11/2

“The thing that distinguishes the computationalist... is that he or she understands that models, languages, and machines are equivalent. They're the same thing.”

区分计算科学家的特质是...他理解模型、语言和机器是等价的,它们是同一回事。

计算的本质是模型、语言与机器的等价 · 2020/11/2

“We have told ourselves a story, a narrative, that [popular science communication] is vulgar... I think that's wrong.”

我们给自己讲了一个故事、一个叙事,认为[大众科学传播]是粗俗的...我认为这是错的。

计算的本质是模型、语言与机器的等价 · 2020/11/2

“Even the objective is an objective because at the end, you've got to tell a story, you've got to make decisions, you've got to make trade-offs.”

即使是客观的东西也成了目标,因为最终你必须讲故事、做决策、进行权衡。

计算的本质是模型、语言与机器的等价 · 2020/11/2

访谈收录

机器学习不仅是统计:Isbell与Littman的跨学科对话
计算的本质是模型、语言与机器的等价