Associative learning is an important part of human cognition,
and is thought to play key role in list learning. We present here
an account of associative learning that learns asymmetric itemto-
item associations, strengthening or weakening associations
over time with repeated exposures. This account, combined
with an existing account of activation strengthening and decay,
predicts the complicated results of a multi-trial free and serial
recall task, including asymmetric contiguity effects that
strengthen over time (Klein, Addis, & Kahana, 2005).
