Seymour Papert
mathematician · 4 mentions across 2 readings
In this course
Papert co-authored foundational work on artificial intelligence at MIT during the early computational turn, appearing here in a 1972 progress report alongside Marvin Minsky that helped establish the theoretical framework for thinking about machine cognition. His work is invoked in the course's examination of how AI systems model intelligence and organize information, particularly relevant to discussions of heterarchy and non-hierarchical cognitive structures that resist simple logical consistency. Though cited here primarily as an archival reference, Papert's influence on cybernetic thinking about adaptive systems and learning machines underpins the course's broader inquiry into how artificial systems might reorganize value hierarchies and decision-making processes.
Mentioned in 2 readings
Appears alongside
People mentioned in the same passages — sorted by co-occurrence weight.