Text relations and recall based on fuzzy trace theory

Fuzzy trace theory makes a number of claims about the nature of how information is processed, stored and recalled. Brainerd and Reyna (1990) describe fuzzy trace theory as a system in which fuzzy traces serve as the basis of recall and are created by a compound process: raw incoming information is said to undergo a reduction to essential and is encoded for storage based on this processed result, rather than the information in its raw form. In this article, we present a process for transforming texts into quasi mental clusters (QMCs) based on the fuzzy trace theory. The process is interpreted as a particular transformation of a given set of discourse segments and concepts by examining two main types of textual continuity. The model is tested using children´s stories and simulation results attest its validity. These clusters are better retained over time and can be regarded as chunks of knowledge extracted from discourses