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Zenon Pylyshyn
scientist · 4 mentions across 1 reading
In this course
Pylyshyn is a cognitive scientist known for theorizing computational levels of analysis in mind and cognition, work foundational to understanding how representation and algorithms structure thought. The course readings invoke his tripartite framework—shared with Marr and Dennett—as a way to organize levels of abstraction (LoA) across computational systems, allowing theorists to avoid metaphysical confusion by rigorously distinguishing the representational, algorithmic, and implementational dimensions of cognitive architecture. His approach is central to how the seminar thinks through the relationship between abstract information processing and its physical instantiation in both biological and artificial systems.
Mentioned in 1 reading
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