- Modeling Implicit and Explicit Memory.
- Book title
- Human learning and memory: Advances in theory and application: The 4th Tsukuba International Conference on Memory
- Pages (from-to)
- Mahwah, NJ, US: Lawrence Erlbaum Associates
- Document type
- Faculty of Social and Behavioural Sciences (FMG)
- Psychology Research Institute (PsyRes)
Mathematical models of memory are useful for describing basic processes of memory in a way that enables generalization across a number of experimental paradigms. Models that have these characteristics do not just engage in empirical curve-fitting, but may also provide explanations for puzzling phenomena and may lead to new discoveries. This chapter provides a number of examples, taken from previous research with the SAM model. Although previous research has focused exclusively on the explanation of episodic memory, recent research within the SAM/REM approach has extended this model to implicit and semantic memory phenomena. This review provides some speculations on how this approach may be extended to deal with a number of basic data in implicit memory. It is emphasized that constructing a model for implicit memory necessitates the development of detailed models of lexical-semantic processing.
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