Chemical AI is chemically synthesized artificial intelligence that has the ability of learning in addition to information processing. A research project on chemical AI, called the Molecular Cybernetics Project, was launched in Japan in 2021 with the goal of creating a molecular machine that can learn a type of conditioned reflex through the process called classical conditioning. If the project succeeds in developing such a molecular machine, the next step would be to configure a network of such machines to realize more complex functions. With this motivation, this paper develops a method for learning a desired function in the network of nodes each of which can implement classical conditioning. First, we present a model of classical conditioning, which is called here a classical conditioning gate. We then propose a learning algorithm for the network of classical conditioning gates.

翻译：化学人工智能是通过化学合成实现的人工智能，除信息处理外还具备学习能力。一项名为"分子控制论项目"的化学人工智能研究计划于2021年在日本启动，其目标是制造能够通过经典条件反射过程学习条件反射的分子机器。若该项目成功研发出此类分子机器，下一步将是构建此类机器的网络以实现更复杂的功能。基于这一动机，本文开发了一种在能够实现经典条件反射的节点网络中学习所需功能的方法。首先，我们提出了一种经典条件反射模型，此处称之为经典条件反射门。随后，我们为经典条件反射门网络提出了一种学习算法。