智能电活性材料系统具有自适应机械内存和顺序逻辑
Charles El Helou1, Lance P Hyatt1, Philip R Buskohl2
1Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802.
概括
研究人员开发了一种柔软的机械材料系统,能够感知,处理和记住信息. 这种新的材料设计使自主计算和解决问题成为可能,为合成通用智能铺平了道路.
科学领域:
- 材料科学 材料科学 材料科学
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
背景情况:
- 活化无生命物质需要集成的系统来进行分散的信息处理.
- 当前的挑战包括材料系统中的持续传感,处理和记忆.
研究的目的:
- 开发一个具有集成智能功能的软机械材料系统.
- 以分散的方式实现自主感知,处理和记忆.
主要方法:
- 集成非易失性内存,在基于顺序逻辑的框架中进行连续处理.
- 设计软的导电网络,配有电动执行器,以实现自我适应的行为.
- 缩放设计原则,以创建一个8位机械材料,用于解决线性代数方程.
主要成果:
- 在材料系统中展示了自主切换和计数能力.
- 开发了一种能够使用模拟机械输入解决线性代数方程的8位机械材料模型.
- 材料系统不断监控其配置,并在定义的误差范围内自主搜索解决方案.
结论:
- 这项工作为合成通用智能提供了基础.
- 开发的材料系统可以自主地对环境刺激作出反应.
- 未来的应用包括赋予材料具有适应性和智能行为.
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