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Applied Topology Seminar

Tuesday, March 28, 2017 - 3:00pm

Dan Guralnik

University of Pennsylvania


University of Pennsylvania


The Sageev-Roller duality between poc-sets and median algebras may be applied for learning cubical representations (or products thereof) of an agent’s interactions with its environment. These product representations are interpreted — and, when implemented, are actually realized — as a network of agents with highly plastic memory structure, utilizing decision mechanisms based on the CAT(0) geometry of the corresponding evolving cubing, where SR-duality is used as a tool for lowering computational and representational costs. In this talk I will outline the UMA project (Universal Memory Architectures) at KodLab and some of the directions in which it is currently being developed.