Retrieval by ACcumulating Evidence (RACE)

Retrieval by ACcumulating Evidence (RACE) is an extension to the ACT-R theory of cognition that can resolve the issues with declarative memory retrieval for symbolic theories of cognition such as ACT-R.
In RACE, retrieval of a chunk from declarative memory is thought of as a process in which evidence is accumulated for the likelihood that a chunk will be needed, similar to the idea underlying the leaky competing accumulator model (Usher & McClelland, 2001). The dynamics of the competition between memory chunks govern retrieval from declarative memory. Because RACE dynamically updates the activation values of chunks,it can explain interference effects observed in semantic memory retrieval better than existing ACT-R models.

Van Maanen & Van Rijn (2006) describe a model of picture-word interference (Glaser & Düngelhoff, 1984) in which RACE is used to explain latency effects observed in this task.


An R implementation of the picture-word interference model described by Van Maanen and Van Rijn (2006) can be downloaded here. After unzipping, check that the data file 'DM.Rdat' is in R's working directory. Type source("{directory-name}/PWImodel.r") in R and run the function diff.SOAs().