Representations in Distributed Cognitive Tasks

TLDR

Distributed representations posit that a distributed cognitive task’s representational system comprises internal and external representations jointly encoding the task’s abstract structure. The authors propose a theoretical framework and representational analysis methodology to study distributed cognitive tasks and design experiments examining the Tower of Hanoi’s representational properties. Their method decomposes a hierarchical task into component levels, enabling independent examination of representational properties at each level, applied to the Tower of Hanoi. Applying the framework revealed the Tower of Hanoi’s hierarchical structure and highlighted the role of external representations.

Abstract

In this article we propose a theoretical framework of distributed representations and a methodology of representational analysis for the study of distributed cognitive tasks—tasks that require the processing of information distributed across the internal mind and the external environment. The basic principle of distributed representations Is that the representational system of a distributed cognitive task is a set of internal and external representations, which together represent the abstract structure of the task. The basic strategy of representational analysis is to decompose the representation of a hierarchical task into its component levels so that the representational properties at each level can be independently examined. The theoretical framework and the methodology are used to analyze the hierarchical structure of the Tower of Hanoi problem. Based on this analysis, four experiments are designed to examine the representational properties of the Tower of Hanoi. Finally, the nature of external representations is discussed.