We present a theoretical framework and a simplified simulation model for the co-evolution of knowledge and event memory, both termed SARKAE (Storing and Retrieving Knowledge and Events). Knowledge is formed through the accrual of individual events, a process that operates in tandem with the storage of individual event memories. In 2 studies, new…

Processing language requires the retrieval of concepts from memory in response to an ongoing stream of information. This retrieval is facilitated if one can infer the gist of a sentence, conversation, or document and use that gist to predict related concepts and disambiguate words. This article analyzes the abstract computational problem…

A theoretical integration of the storage and processing functions of working memory in language comprehension is presented. A computational theory is described in which storage and processing are fueled by activation. Capacity is expressed as the maximum amount of activation available in working memory for either storage or processing. (SLD)

A simulation model of episodic memory, MINERVA Z, is applied to the learning of concepts, as represented by the schema-abstraction task. The model successfully predicts basic findings from the scheme-abstraction literature, including some that have been cited as evidence against exemplary theories of concepts. (Author/LMO)

A model of information processing has been developed that combines concepts from the study of attention and the study of problem solving. The model has been realized as a computer program and used to simulate a variety of phenomena from the attention and performance literature. (Author/LMO)

Data and models about recognition and recall of words and nonwords are unified using a real-time network processing theory. Adaptive resonance theory arose from an analysis of how a language system self-organizes in real time in response to its complex input environment. (Author/LMO)