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首页> 外文期刊>Advanced Materials >Viewpoint: Pavlovian Materials-Functional Biomimetics Inspired by Classical Conditioning
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Viewpoint: Pavlovian Materials-Functional Biomimetics Inspired by Classical Conditioning

机译：观点：Pavlovian材料 - 功能生物体激发了古典调理

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摘要

Herein, it is discussed whether the complex biological concepts of (associative) learning can inspire responsive artificial materials. It is argued that classical conditioning, being one of the most elementary forms of learning, inspires algorithmic realizations in synthetic materials, to allow stimuli-responsive materials that learn to respond to a new stimulus, to which they are originally insensitive. Two synthetic model systems coined as "Pavlovian materials" are described, whose stimuli-responsiveness algorithmically mimics programmable associative learning, inspired by classical conditioning. The concepts minimally need a stimulus-triggerable memory, in addition to two stimuli, i.e., the unconditioned and the originally neutral stimuli. Importantly, the concept differs conceptually from the classic stimuli-responsive and shape-memory materials, as, upon association, Pavlovian materials obtain a given response using a new stimulus (the originally neutral one); i.e., the system evolves to a new state. This also enables the functionality to be described by a logic diagram. Ample room for generalization to different stimuli and memory combinations is foreseen, and opportunities to develop future adaptive materials with ever-more intelligent functions are expected.
机译：这里，讨论（关联）学习的复杂生物概念是否可以激发响应性人造材料。有人认为，古典调理是最基本的学习形式之一，激发合成材料中的算法实现，以允许学习响应新刺激的刺激响应材料，它们最初不敏感。描述了两种作为“帕夫洛维亚材料”的合成模型系统，其刺激响应性算法模拟可编程联想学习，受到古典调理的启发。除了两个刺激，即无条件和最初的中性刺激之外，概念最小需要刺激触发的记忆。重要的是，概念性地与经典刺激和形状记忆材料的概念性地不同，如关联，Pavlovian材料使用新的刺激获得给定的响应（最初中性的）;即，系统发展到新状态。这也使得能够由逻辑图描述的功能。预先预见到不同刺激和内存组合的充足的概括房间，并预计将开发未来适应性材料的机会，具有更远的智能功能。

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