Workshop on Taskability

任务能力研讨会

• 批准号: 1419590
• 负责人: John Laird
• 金额: $ 1.35万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-03-01 至 2016-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1419590&HistoricalAwards=false
• 关键词: Workshop; Taskability

This workshop concerns the "taskability" of cognitive agents, meaning the ability of an intelligent and adaptable system to accept high level, task-oriented instructions from a human and translate those goal-oriented directives into a suitably decomposed plan of sensing, reasoning, or action. The current state of the art in research for cognitive systems and agents in general allows human handlers to issue directions to agents either in terms of lower level action primitives that correspond to the agent's particular design, or constrained by a higher-order action language that is engineered to suffice as a shorthand for some sequence of the same kinds of agent-specific behaviors. This workshop is addressing four key considerations for this emergent topic: 1) defining this new research area with sufficient clarity that research agendas can proceed productively; 2) identifying the science and technology issues that most be addressed to create systems that meet that definition of taskability; 3) decomposing that further into research and development needs that are the precursors to such research; and 4) exploring the formation of a research community on taskability. Taskability holds the potential to transform the way humans interact with intelligent systems. The ability to instruct a wide variety of agents to perform tasks that are not preprogrammed will have a profound effect on the broader AI enterprise, and eventually on the technologies that will enrich the daily lives of people.

本次研讨会关注认知代理的“任务性”，这意味着一个智能和适应性强的系统能够接受来自人类的高水平、面向任务的指令，并将这些面向目标的指令转化为适当分解的感知、推理或行动计划。认知系统和智能体研究的当前技术水平一般允许人类处理者根据与智能体特定设计相对应的低级动作原语向智能体发出指令，或者受高阶动作语言的约束，这种语言被设计成足以作为同类智能体特定行为的一些序列的速记。本次研讨会将讨论这一新兴主题的四个关键考虑因素：1)明确定义这一新的研究领域，使研究议程能够富有成效地进行；2)确定最需要解决的科学和技术问题，以创建符合任务定义的系统；3)将其进一步分解为研究和开发需求，这些需求是此类研究的前体；4)探索任务性研究共同体的形成。任务能力有可能改变人类与智能系统互动的方式。指导各种各样的代理执行未预先编程的任务的能力将对更广泛的人工智能企业产生深远的影响，并最终对丰富人们日常生活的技术产生深远的影响。