Understanding Concepts: An Essential Aspect of Robust Intelligence

提案0646933“理解概念：稳健情报的一个基本方面”PI：帕特里克·H·温斯顿麻省理工学院简介这个项目将调查有关概念的性质和表示的基本问题，这是建立稳健情报系统的关键前提。在这个将在麻省理工学院CSAIL实验室的Genesis小组进行的项目中，一个概念是一个复杂的、从经验中结晶出来的跨模式模型。作为学习如何使用真实的和替代的经验来建立这样的模型的一步，这个项目将收集和设计丰富的交叉链接的、以理解为导向的专家集合，每个专家都专门研究世界的一种特定表征，所有这些都得到了个人联想记忆和跨越多种表征的联想记忆的支持。记忆将从一系列句子和短语中填充，从而积累起一种人类的能力，将出现在一种通道中的状态和动作与出现在其他通道中的状态和动作联系起来。该项目将通过建立一个名为Gauntlet系统的系统来提取和测试概念表示的重要方面，在该系统中，句子和短语流经一系列以表示为中心的专家，每个专家要么以自己的术语解释数据的一个元素，要么忽略它并将其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表示摘要图书馆，供对概念形成、稳健系统和人工智能感兴趣的其他研究人员使用。

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.