  Humans can learn individual episodes and generalizable rules and also
successfully retain both kinds of acquired knowledge over time. In the
cognitive science literature, (1) learning individual episodes and rules and
(2) learning and remembering are often both conceptualized as competing
processes that necessitate separate, complementary learning systems. Inspired
by recent research in statistical learning, we challenge these trade-offs,
hypothesizing that they arise from capacity limitations rather than from the
inherent incompatibility of the underlying cognitive processes. Using an
associative learning task, we show that one system with excess representational
capacity can learn and remember both episodes and rules.
