One of the most vital cognitive skills to possess is the ability to make sense of objects, events, and situations in the world. In the current paper, we offer an approach for creating artificially intelligent agents with the capacity for sensemaking in novel environments. Objectives: to present several key ideas: (1) a novel unified conceptual framework for sensemaking (which includes the existence of sign relations embedded within and across frames); (2) interaction among various content-addressable, distributed-knowledge structures via shared attributes (whose net response would represent a synthesized object, event, or situation serving as a sign for sensemaking in a novel environment). Findings: we suggest that attributes across memories can be shared and recombined in novel ways to create synthesized signs, which can denote certain outcomes in novel environments (i.e., sensemaking).

本研究解决了人工智能体在新环境中进行意义构建的能力不足的问题。文章提出了一种统一的概念框架，强调在不同知识结构之间共享属性的重要性，以生成合成的意义标志。研究发现，跨记忆的属性可以以新颖的方式共享和重新组合，从而在新环境中支持意义构建的有效性。

新环境中的意义构建：人类认知如何启发人工智能体