IEEE Trans Neural Netw Learn Syst. 2017 Dec;28(12):3084-3095. doi: 10.1109/TNNLS.2017.2728203. Epub 2017 Aug 11.
This paper describes the integration of semantic and episodic memory (EM) models and the benefits of such integration. Semantic memory (SM) is used as a foundation of knowledge and concept learning, and is needed for the operation of any cognitive system. EM retains personal experiences stored based on their significance-it is supported by the SM, and in return, it supports SM operations. Integrated declarative memories are critical for cognitive system development, yet very little research has been done to develop their computational models. We considered structural self-organization of both semantic and episodic memories with a symbolic representation of input events. Sequences of events are stored in EM and are used to build associations in SM. We demonstrated that integration of semantic and episodic memories improves the native operation of both types of memories. Experimental results are presented to illustrate how the two memories complement each other by improving recognition, prediction, and context-based generalization of individual memories.
本文描述了语义记忆和情景记忆(EM)模型的整合以及这种整合的好处。语义记忆(SM)用作知识和概念学习的基础,是任何认知系统运行所必需的。EM 保留了基于其重要性存储的个人经验——它得到了 SM 的支持,反过来,它也支持 SM 的运作。综合陈述性记忆对于认知系统的发展至关重要,但很少有研究致力于开发它们的计算模型。我们考虑了语义记忆和情景记忆的结构自组织,以及输入事件的符号表示。事件序列存储在 EM 中,并用于在 SM 中建立关联。我们证明了语义记忆和情景记忆的整合可以改善这两种类型的记忆的固有操作。实验结果表明,通过提高单个记忆的识别、预测和基于上下文的泛化,两种记忆可以相互补充。