Understanding Concepts: An Essential Aspect of Robust Intelligence

理解概念：稳健智能的一个重要方面

• 批准号: 0646933
• 负责人: Patrick Winston
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2008-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0646933&HistoricalAwards=false
• 关键词: Understanding; Concepts; Essential; Aspect; Robust

Proposal 0646933"Understanding Concepts: An Essential Aspect of Robust Intelligence"PI: Patrick H. WinstonMIT ABSTRACTThis project will investigate foundational issues about the nature and representation of concepts, a critical prerequisite for building robust intelligence systems. In this project, which will be carried out in the Genesis Group of the MIT CSAIL laboratory, a concept is a complex, cross-modal model that crystallizes out of experience. As a step toward learning how to use experience, real and surrogate, to build such models, this project will collect and devise a rich collection of cross-linked, understanding-oriented experts, each specialized to a particular representation of the world, all backed by both individual associative memories and by associative memories that span multiple representations. The memories will be populated from a stream of sentences and phrases, thereby accumulating a humanlike capacity to associate states and actions that appear in one modality with those that appear in other modalities. This project will distill and test important aspects of concept representation by building a system called the Gauntlet System in which sentences and phrases stream past a line of representation-centered experts, each of which can either interpret an element of the data in its own terms or ignore it and pass it along to other downstream experts for their consideration. The project plans to build an on-line library of representation summaries for use by other researchers interested in concept formation, robust systems and Artificial Intelligence.

提案0646933“理解概念：强健智能的基本方面“PI：帕特里克H。温斯顿MIT 这个项目将调查有关概念的性质和表示的基本问题，这是建立强大的智能系统的关键先决条件。这个项目将在麻省理工学院CSAIL实验室的Genesis Group中进行，其中一个概念是一个复杂的、跨模态的模型，它从经验中结晶出来。作为学习如何使用经验，真实的和代理，以建立这样的模型的一步，这个项目将收集和设计一个交叉链接，理解为导向的专家，每个专门的世界的一个特定的表示，所有支持个人联想记忆和联想记忆，跨越多个表示丰富的集合。记忆将由一系列句子和短语组成，从而积累了一种类似人类的能力，将出现在一种模态中的状态和动作与出现在其他模态中的状态和动作联系起来。这个项目将通过建立一个名为“挑战系统”的系统来提取和测试概念表示的重要方面，在这个系统中，句子和短语流经一排以表示为中心的专家，每个专家都可以用自己的术语解释数据的一个元素，或者忽略它，然后将它沿着传递给其他下游专家供他们考虑。该项目计划建立一个在线的代表性摘要库，供其他对概念形成、鲁棒系统和人工智能感兴趣的研究人员使用。