معرفی
Randy Jamieson is a Professor in the Department of Psychology within the Faculty of Arts at the University of Manitoba, where he conducts research at the intersection of cognitive psychology and computational modeling. His work explores fundamental mechanisms of human memory, learning, and knowledge representation through both experimental and theoretical approaches.
His academic credentials include:
- NSERC Postdoctoral Fellow (Cognitive Science), McMaster University (2007)
- PhD (Brain, Behaviour, and Cognitive Science), Queen's University (2005)
- MA (Brain, Behaviour, and Cognitive Science), Queen's University (2001)
- BA (Specialized Honours) in Psychology, York University (1999)
Dr. Jamieson's research focuses on human memory systems, particularly the relationship between episodic and semantic memory, and how memory drives intuitive inferences. He develops formal models of lexical retrieval and cognitive technologies such as psychologically grounded search engines. His methodological approach combines experimental paradigms with computational modeling to investigate learning, memory, and cognition across species.
His recent publications (2022-2025) demonstrate a clear trajectory toward unifying theoretical frameworks, with increasing emphasis on computational implementations of memory models. This work bridges cognitive theory with practical applications in cognitive technology, particularly through his development of instance-based modeling approaches applied to diverse phenomena from associative inference to semantic memory.
Dr. Jamieson's contributions have been recognized through prestigious honors:
- Richard C. Tees Distinguished Leadership Award (Canadian Society for Brain, Behaviour, and Cognitive Science)
- Fellow of the Canadian Psychological Association
- Fellow of the Canadian Society for Brain, Behaviour, and Cognitive Science
- Fellow of the Psychonomic Society
- Faculty of Arts Teaching Excellence Award (New Faculty Category, University of Manitoba)
He actively mentors graduate students at both Master's and PhD levels through his Cognitive Science Lab, emphasizing rigorous experimental design and computational methodology. His teaching portfolio spans foundational courses in cognitive processes and advanced seminars in computational psychology, reflecting his commitment to training the next generation of cognitive scientists. The lab serves as an interdisciplinary hub for research on memory systems and cognitive modeling, fostering collaboration across psychology and computer science disciplines.
