The International Conference on Cognitive Modeling brings together researchers from around the world whose main goal is to build computational systems that reflect the internal processes of the mind. In this issue, we present the four best representative papers on this work from our 18th meeting, ICCM 2020, which was also the first meeting to be held virtually. Two of these papers develop novel techniques for building larger and more complex models using Reinforcement Learning and Learning By Instruction, respectively. The other two show how cognitive models connect to neuroscience, drawing on details of the hippocampus and cerebellum to constrain and explain the cognitive processes involved in memory and conditioning.

中文翻译：

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编者介绍：第18届认知建模国际会议最佳论文

国际认知建模会议汇集了来自世界各地的研究人员，他们的主要目标是构建反映大脑内部过程的计算系统。在本期中，我们展示了第 18 次会议 ICCM 2020 中关于这项工作的四篇最佳代表性论文，这也是第一次以虚拟方式举行的会议。其中两篇论文分别开发了使用强化学习和按指令学习来构建更大、更复杂模型的新技术。另外两个展示了认知模型如何与神经科学联系起来，利用海马体和小脑的细节来约束和解释记忆和调节所涉及的认知过程。