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Research Experts Search

In this search you can find faculty members in a particular area of research, or browse the wide variety of research happening at the U of M.

Our faculty members have maintained information about their research expertise and interests, current teaching areas and other activities. They manage their information from the My Research Tools (MRT) website. More information about MRT is available here.

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Jamieson, Randy (Randy)

Professor, Psychology

Associate Dean, Faculty of Graduate Studies


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Keyword Discipline

Cognitive Development/Processes

Behavioral/Social Sciences

Computational Biology


Decision Sciences

Behavioral/Social Sciences

Research Description

I am interested in how people learn, remember, and categorize. I use both laboratory experiments and computational modelling. According to my model, each experience leaves a trace in memory. A retrieval probe activates all traces similar to it. The data retrieved blend the information from all active traces, thereby bringing a wealth of prior experience to mind. The model accommodates a wide range of behavior, including incidental learning of structure, recognition memory, distortions in ad hoc concept formation, and the effect of stimulus predictability on speeded identification. I have recently augmented the model so that encoding is influenced by surprise: novel unexpected events are encoded to memory more strongly than familiar expected events. This enhancement affords prediction of phenomena central to the study of classical conditioning and offers a formal description for understanding the role of episodic memory in learning. In another line of work, I examine concept formation. In that work I have focused on modeling the structure of natural categories in laboratory stimuli. My experiments show that people respond very differently to categories that mimic the structure of most natural categories than to categories that deviate from that structure.

Teaching Description

I teach courses in cognitive psychology (Cognitive Processes, Language and Thought, Thinking), statistics and research design (Graduate and undergraduate), and computational modelling (Models in Cognitive Science).

Public/Media (Non-Technical) Description

I study how people learn about and understand the world around them. My questions are centered on the nature of intuition and how intuition drives decision-making.

Currently Recruiting Graduate Students

Potential graduate students should contact the appropriate Faculty.


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