Emmanuel Mazeret
Papers
1
Total Citations
4
H-Index
1
About
Emmanuel Mazeret is a pioneering theorist in cognitive science, whose work centers on the probabilistic foundations of sensory-motor systems. His major contribution challenges the necessity of internal representation and understanding for action and perception, proposing instead that intelligent behavior can emerge from statistical regularities in sensorimotor loops. This radical stance places him at the heart of key debates in embodied cognition, offering a formal alternative to classical representationalist models. While his most-cited paper, “Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs” (1998), has garnered 4 citations, its influence is profound within niche theoretical circles, shaping discussions on minimal cognition and the enactive approach. Mazeret’s work is notable for its rigorous, early integration of probability theory with cognitive science, predating later Bayesian revolutions. Though his citation count is modest, his conceptual impact is significant, making him a vital reference for researchers exploring non-representationalist frameworks in robotics, philosophy of mind, and developmental psychology.
Research Focus
Key Achievements
Top Papers
- 1