ABSTRACT
The information necessary for the performance of almost any everyday task is distributed across information perceived from the external world and information retrieved from the internal mind. These tasks are known as distributed cognitive tasks. The principle of distributed representations is that a distributed cognitive task involves a system of distributed representations that consists of internal and external representations. The task is neither exclusively dependent on internally nor exclusively dependent on externally processed information, but rather on the interaction of the two information spaces formed by the internal and external representations. The resulting behavior variance from the experiment indicates that some representations are more ‘efficient’ in extending the necessary information for a task. Although the different isomorphic representations result in varying initial levels of performance and learning curves, performances appear to converge after a sufficient period of learning. The experimental task was a simple position- fixing task in a very controlled and calm environment.
