A rational framework is proposed to explain how we accommodate unbounded sensory input within bounded memory. Memory is stored as statistics organized into structures that are repeatedly summarized and compressed to make room for new input. Repeated summarization requires an intensive ongoing process guided by heuristics that help optimize the memory for future needs. Sensory input is rapidly encoded as simple statistics that are progressively elaborated into more abstract constructs. This framework differs from previous accounts of memory by reliance on statistics as a representation of memory, the use of heuristics to guide the choice of statistics at each summarization step, and the hypothesis of a process that is complex and expensive. The framework is intended as an aid to make sense of our extensive knowledge of memory, and bring us closer to an understanding of memory in functional and mechanistic terms.
翻译:本文提出一个理性框架来解释我们如何在有限记忆容量内处理无限感官输入。记忆以统计量形式存储,这些统计量被组织成结构,并通过反复的概括与压缩为新输入腾出空间。持续的概括过程需要依赖启发式方法引导,以优化记忆结构适应未来需求。感官输入首先被快速编码为简单统计量,随后逐步精炼为更抽象的构造。该框架与以往记忆理论的区别在于:以统计量作为记忆表征的基础,在每一概括步骤中使用启发式方法指导统计量选择,并假设这一过程具有复杂性与高计算成本。本框架旨在整合现有关于记忆的广泛知识,推动从功能与机制层面理解记忆过程。