Workshop on Contemporary Approaches to Human-Level Artificial Intelligence

人类水平人工智能当代方法研讨会

• 批准号: 0737207
• 负责人: Leslie Kaelbling
• 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: 2007
• 资助国家: 美国
• 起止时间: 2007-06-15 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0737207&HistoricalAwards=false
• 关键词: Workshop; Contemporary; Approaches; Human; Level

Proposal 0737207"Workshop on Contemporary Approaches to Human-Level Artificial Intelligence"PI: Leslie P. KaelblingMITABSTRACTThis award supports the organization and the participation of approximately 35 experts in a two-day workshop to be held July 12-13, 2007 at MIT Endicott House in Dedham, Massachusetts. The purpose of this workshop is to bring together leading researchers in Artificial Intelligence to assemble a research agenda for developing AI systems capable of human level performance (Human Level AI or HLAI). HLAI includes the following constellation of capabilities exhibited by human beings: (1) The ability to adapt and survive for an extended period of time in a rich, complex physical and social environment; (2) The ability to learn throughout this extended period of existence and, in particular, to improve performance on a fixed set of tasks, learn to perform new tasks, transfer knowledge and skill from one task to another, the ability to execute a new task after being told (or shown) how to do it; (3) The ability to reason about their own capabilities and limitations, to formulate new tasks, and to gather information needed for learning how to perform those tasks; (4) The ability to communicate and interact (e.g., cooperate) with other agents, to form teams, to recognize the goals, beliefs, and intentions of other agents, to persuade and negotiate with other agents; and (5) The ability to design and execute changes in the environment (physical and social) to improve their ability to survive and achieve their goals. In other words, an HLAI system is characterized by the potential to perform a great breadth of tasks--including those not pre-envisioned by the system designer--and by the ability to reflect on and improve all of its own capabilities, and to do so in a robust, flexible manner. This workshop will review the current state of the art, propose new integrated architectures for robust integrated intelligent systems, and suggest ways for researchers to leverage results across the many subspecialties in AI.

提案0737207“关于人类人工智能的当代方法的研讨会” PI：Leslie P. Kaelblingmitabstracttractratterthis奖奖支持该组织，并在2007年7月12日至13日在2007年7月12日至13日在Massachusetts Dedham的MIT Endicott House举行的为期两天的专家参加了为期两天的专家。该研讨会的目的是将人工智能领域的主要研究人员汇集在一起​​，以组装研究能够人为绩效的AI系统（人为AI或HLAI）的研究议程。 Hlai包括人类所表现出的以下能力群：（1）在丰富，复杂的身体和社会环境中，适应和生存的能力很长时间； （2）在整个长期存在的生存期间学习的能力，尤其是在固定任务上提高绩效，学习执行新任务，将知识和技能从一个任务转移到另一个任务，在被告知（或显示）如何执行后执行新任务的能力； （3）推理自己的能力和局限性，制定新任务，并收集学习如何执行这些任务所需的信息的能力； （4）与其他代理商进行交流和互动（例如合作），组成团队，认识其他代理商的目标，信念和意图的能力，与其他代理商说服和谈判； （5）设计和执行环境（物理和社会）改变其生存和实现目标的能力的能力。换句话说，HLAI系统的特征是执行大量任务的潜力 - 包括系统设计师没有预先审查的那些任务 - 以及能够反思和提高其所有能力的能力，并以强大，灵活的方式做到这一点。该研讨会将回顾当前的艺术状况，为健壮的集成智能系统提供新的综合体系结构，并为研究人员提供了在AI中许多亚专业中利用结果的方法。