National Research Council Canada, University of Waterloo.
Air Force Research Laboratory.
Top Cogn Sci. 2021 Jul;13(3):464-466. doi: 10.1111/tops.12560. Epub 2021 Jun 29.
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.
认知建模国际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思维内部过程的计算系统。在本期中，我们呈现了来自第 18 届会议 ICCM 2020 的四篇关于这项工作的最佳代表性论文，这也是首次在线上举行的会议。其中两篇论文分别开发了使用强化学习和指令学习构建更大、更复杂模型的新方法。另外两篇论文展示了认知模型如何与神经科学联系起来，借鉴海马体和小脑的细节来约束和解释记忆和条件作用所涉及的认知过程。
