Much recent research on modeling memory processes has focused on identifying useful indices and retrieval strategies to support particular memory tasks. Another important question concerning memory processes, however, is how retrieval criteria are learned. This paper examines the issues involved in modeling the learning of memory search strategies. It discusses the general requirements for appr...

The metamemory approach to memory confidence was extended and elaborated to deal with semantic memory tasks. The metamemory approach assumes that memory confidence is based on the products and processes of a completed memory task, as well as metamemory beliefs that individuals have about how their memory products and processes relate to memory accuracy. In two experiments participants were aske...

Recent emergence of systems with multiple performance and capacity tiers of memory invites a fresh consideration of strategies for optimal placement of data into the various tiers. This work explores a variety of cross-layer strategies for managing application data in multitiered memory. We propose new profiling techniques based on the automatic classification of program allocation sites, with ...

Partially observable Markov decision processes (POMDPs) are standard models for dynamic systems with probabilistic and nondeterministic behaviour in uncertain environments. We prove that POMDPs long-run average objective, the maker has approximately optimal strategies finite memory. This implies notably approximating value is recursively enumerable, as well a weak continuity property of respect...