Abstract

In several articles, Shiffrin et al. (e.g,, Shiffrin, Ratcliff, & Clark, 1990) argued that their data on the list-strength effect (LSE), in conjunction with their data on the list-length effect (LLE), are counter to current global matching memory models (GMMs). This is only true if one assumes that the memory system is reinitialized after every list, which is an unrealistic default assumption present in many implementations of GMMs. By making the more reasonable assumption that memory is continuous, it is shown that TODAM (and probably other GMMs) does in fact predict the LSE and LLE data

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.