首页> 外国专利> SYSTEMS AND METHODS ENABLING ONLINE ONE-SHOT LEARNING AND GENERALIZATION BY INTELLIGENT SYSTEMS OF TASK-RELEVANT FEATURES AND TRANSFER TO A COHORT OF INTELLIGENT SYSTEMS

SYSTEMS AND METHODS ENABLING ONLINE ONE-SHOT LEARNING AND GENERALIZATION BY INTELLIGENT SYSTEMS OF TASK-RELEVANT FEATURES AND TRANSFER TO A COHORT OF INTELLIGENT SYSTEMS

机译:通过与任务相关的特征的智能系统进行在线一键学习和通用化,并将其转移到同类系统中的系统和方法

摘要

An intelligent system, such as an autonomous robot agent, includes systems and methods to learn various aspects about a task in response to instructions received from a human instructor, to apply the instructed knowledge immediately during task performance following the instruction, and to instruct other intelligent systems about the knowledge for performing the task. The learning is accomplished free of training the intelligent system. The instructions from the human instructor may be provided in a natural language format and may include deictic references. The instructions may be received while the intelligent system is online, and may be provided to the intelligent system in one shot, e.g., in a single encounter or transaction with the human instructor.
机译:智能系统,例如自主机器人代理,包括以下系统和方法:响应于从人类教练员那里收到的指令,学习有关任务的各个方面,在执行指令后立即在任务执行期间应用所指导的知识,并指导其他智能系统有关执行任务的知识的系统。无需培训智能系统即可完成学习。来自人类教练的指令可以以自然语言格式提供,并且可以包括专用参考。可以在智能系统在线的同时接收指令,并且可以例如一次与人工教练的相遇或交易将其提供给智能系统。

著录项

  • 公开/公告号WO2017197018A3

    专利类型

  • 公开/公告日2018-07-26

    原文格式PDF

  • 申请/专利权人 TRUSTEES OF TUFTS COLLEGE;

    申请/专利号WO2017US32010

  • 发明设计人 SCHEUTZ MATTHIAS J.;KRAUSE EVAN A.;

    申请日2017-05-10

  • 分类号G06N3;G06N99;

  • 国家 WO

  • 入库时间 2022-08-21 12:47:07

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