探讨机械智能如何让材料、生物和机器人系统通过结构自适应实现智能。
Interdisciplinary Workshop on Mechanical Intelligence: Summary Report
- 通过结构响应、适应性和记忆实现非计算式智能
- 38位学者与8位项目官员参与两天研讨，形成多组讨论成果
- 适合对跨学科智能系统感兴趣的科研人员
本文总结了2024年在国家科学基金会（NSF）总部举行的跨学科机械智能研讨会成果。机械智能（MI）指材料、生物或机器人系统通过其新型结构特征，在机械结构本身实现响应性、适应性、记忆和学习能力，与依赖电讯号和代码的计算智能形成对比。研讨会为期两天（5月30-31日），邀请38位学术研究人员及8位NSF项目官员参与，采用4-5人小组和9-10人小组的互动讨论形式，围绕机械智能核心议题展开深入交流。各工作组将讨论内容记录于共享演示文稿，并在最后一天进行成果汇报。本文综述了研讨会的主要发现与共识。
原文摘要 · Abstract (English)
This report provides a summary of the outcomes of the Interdisciplinary Workshop on Mechanical Intelligence held in 2024. Mechanical Intelligence (MI) represents the phenomenon that novel structural features of material/biological/robotic systems can encode intelligence through responsiveness, adaptivity, memory, and learning in the mechanical structure itself. This is in contrast to computational intelligence, wherein the intelligence functions occur through electrical signaling and computer code. The two-day workshop was held at NSF headquarters on May 30-31 and included 38 invited academic researcher participants, and 8 program officers from the NSF. The workshop was structured around active small and large group discussions in groups of 4-5 and 9-10 with the goal of addressing topical questions on MI. Working groups entered notes into shared presentation slides for each discussion session and presented their outcomes in a final presentation on the last day. Here we summarize the overall outcomes of the workshop.
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