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; 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的计算机科学与认知科学界面上创建一个新颖的术前培训计划。 虽然最近以“模糊工程”方法挤满了这种界面，通常被识别为人工智能（常识性推理，神经网等），但我们计划将重点放在“正式科学”方面上，包括对计算和推理过程，计算机界面和计算机科学教育研究，视觉研究和视觉研究和robot和Robot和Robot的信息，知识，学习理论，知识，知识，知识，知识，包括计算和推理过程的形式建模。 我们认为1。学科，计算机科学和认知科学都将从这样的计划中受益，而康奈尔（Cornell）非常适合适应这样的计划。 的确，我们希望该计划将成为如何和工程领域和自由派艺术领域的模型，可以相互利用，并最终导致两者（1）工程工艺，这些工程提高了人类用户，以及（2）对人类思维过程的更好的正式理解，对人类思维过程该提案在四个部分中组织起来。 首先，我们提出几个Con = Crete和有前途的研究方向。 每个模块都是具体的，因为至少有一名当前的博士生或教职员工有兴趣追求该主题；每个模块都有希望，因为进度将取决于并推进两个参与学科。 其次，我们简要描绘了康奈尔大学目前的基础设施，并介绍了拟议程序的结构。 第三，我们提出了招聘计划，第四，我们证明了对资金的需求。