Sequential learning is a fundamental function of an intelligent agent. This technical report introduces a model of sequential learning, which is interpretable through Non-Axiomatic Logic. The learning procedure includes three steps, hypothesizing, revising, and recycling, and can work under the Assumption of Insufficient Knowledge and Resources. Although there are limitations for the current design, the model has been proven effective in some simple cases.

翻译：序列学习是智能体的基本功能。本技术报告提出了一种基于非公理逻辑可解释的序列学习模型。该学习过程包含假设、修正与循环三个步骤，能够在知识资源不足假设下运行。尽管当前设计存在局限性，该模型已在若干简单案例中验证其有效性。