Understanding Concepts: An Essential Aspect of Robust Intelligence

PI: Patrick H. WinstonMIT abstract该项目将研究概念的本质和表示的基础问题，这是构建鲁棒智能系统的关键先决条件。在这个项目中，将在麻省理工学院CSAIL实验室的创世纪小组进行，一个概念是一个复杂的、跨模态的模型，它是由经验结晶出来的。作为学习如何使用经验，真实的和替代的，来建立这样的模型的一步，这个项目将收集和设计一个丰富的交叉链接，理解为导向的专家，每个人都专注于一个特定的世界表征，所有这些都由个人的联想记忆和跨越多个表征的联想记忆支持。记忆将从一连串的句子和短语中填充，从而积累一种类似人类的能力，将出现在一种模态中的状态和行为与出现在其他模态中的状态和行为联系起来。这个项目将通过建立一个称为Gauntlet system的系统来提炼和测试概念表征的重要方面，在这个系统中，句子和短语流过一排以表征为中心的专家，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。

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.