A computational and experimental examination of learning, memory, and language

对学习、记忆和语言的计算和实验检查

• 批准号: RGPIN-2018-06034
• 负责人: Jamieson, Randall
• 金额: $ 2.91万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=764048
• 关键词: computational; experimental; examination; learning; memory

The aim of my research program is to (a) study and understand how people and other animals learn, remember, think, and know, (b) to develop mathematical models based on that understanding, and (c) to apply those models to the design and development of cognitive technologies (e.g., psychologically valid cognitive search engines). I have broken the problem into three interlinking goals. One line of work uses experimental methods to understand how people intuit that a sentence is grammatical or not and uses those data to derive a computational model of meta-linguistic intuition. Another line of work uses experimental methods to study patterns in peoples' intuitive reasoning and uses those data to develop a computational model of the underlying cognitive processes. A third line of work uses the analyses of meta-linguistic intuition and intuitive reasoning to design and develop cognitive search engines that interpret the meaning of a person's search query and find documents that match the intended meaning. Training in my lab gives students a coordinated knowledge of experimental and computational science so they can bring the wisdom of experimental science to bear on the disciplines of cognitive computing and machine learning. Work in the lab includes collaborations with research laboratories in Canada, America, Spain, and Australia.

我的研究计划的目的是（a）研究和理解人和其他动物如何学习，记忆，思考和知道，（B）基于这种理解开发数学模型，以及（c）将这些模型应用于认知技术的设计和开发（例如，心理学上有效的认知搜索引擎）。我把这个问题分成三个相互关联的目标。其中一项工作是使用实验方法来了解人们如何直觉地判断一个句子是否符合语法，并使用这些数据来推导出元语言直觉的计算模型。另一项工作是使用实验方法来研究人们直觉推理的模式，并使用这些数据来开发潜在认知过程的计算模型。 第三条工作线使用元语言直觉和直觉推理的分析来设计和开发认知搜索引擎，解释一个人的搜索查询的含义，并找到符合预期含义的文档。在我的实验室培训给学生的实验和计算科学的协调知识，使他们能够把实验科学的智慧承担认知计算和机器学习的学科。实验室的工作包括与加拿大、美国、西班牙和澳大利亚的研究实验室合作。