Computational Aspects of Cognitive Science Focus Area: Human Computation

认知科学的计算方面重点领域：人类计算

• 批准号: 9454149
• 负责人: Claire Cardie
• 金额: $ 56.25万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-09-15 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9454149&HistoricalAwards=false
• 关键词: Computational; Aspects; Cognitive; Science; Focus

We propose to create a novel predoctoral training program at the interface of Computer Science and Cognitive Science at Cornell University. While this interface has been crowded lately with "fuzzy-engineering" approaches typically identified as Artificial Intelligence (common-sense reasoning, neural nets, etc.), we plan to focus, instead, on "formal-scientific" aspects, including the formal modeling of computational and inference processes, computer- human interface and computer science education studies, vision and robotics, learning theory, and intelligent information retrieval. We argue that 1. both disciplines, Computer Science and Cognitive Science, will benefit from such a program, and 2. Cornell is uniquely suited to accommodate such a program. Indeed, we hope that the proposed program would serve as a model of how and engineering field and a liberal-arts field can leverage each other and ultimately lead to both (1) engineering artifices that pay more attention to the human user and (2) a better formal understanding of human thought process The proposal is organized in four parts. First, we present several con=crete and promising research directions. Each module is concrete in that at least one current doctoral student or faculty member is interested in pursuing the topic; each module is promising in that progress will depend on and advance both participating disciplines. Second, we briefly portray the current infrastructure at Cornell and we present the structure of the proposed program. Third, we present a plan for recruiting and, fourth, we justify the need for funding.

我们建议在康奈尔大学计算机科学和认知科学的接口创建一个新的博士前培训计划。 虽然这个接口最近已经挤满了“模糊工程”方法，通常被认为是人工智能（常识推理，神经网络等），相反，我们计划集中在“形式科学”方面，包括计算和推理过程的形式建模，计算机-人机界面和计算机科学教育研究，视觉和机器人技术，学习理论和智能信息检索。 我们认为 1. 这两个学科，计算机科学和认知科学， 将受益于这样一个计划， 和 2. 康奈尔大学是唯一适合容纳这样的计划。 事实上，我们希望拟议中的计划将作为一个模型，说明工程领域和文科领域如何相互利用，并最终导致（1）更加关注人类用户的工程技巧和（2）对人类思维过程的更好的正式理解 该提案分为四个部分。 首先，我们提出了几个具体的和有前途的研究方向。 每个模块都是具体的，至少有一个当前的博士生或教师有兴趣追求的主题;每个模块都是有前途的，因为进展将取决于并推动两个参与学科。 其次，我们简要描述了康奈尔大学目前的基础设施，我们提出了拟议的计划的结构。 第三，我们提出一个招聘计划，第四，我们证明需要资金。