Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks”

Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks”

In [42] we suggested that any memory stored in the human/animal brain is forgotten following the Ebingghaus curve – in this follow-on paper, we define a novel algebraic structure, a Forgetting Neural Network, as a simple mathematical model based on assuming parameters of a neuron in a neural network...

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Bibliographic Details
Main Authors: Cano-Córdoba, Felipe, Sarma, Sanjay, Subirana, Brian
Format: Technical Report
Language:en_US
Published: Center for Brains, Minds and Machines (CBMM) 2018
Subjects:
Forgetting Neural Network
decreasing inference theorem
theorem of non-instantaneous forgetting
theorem of universal forgetting
curse of forgetting theorem
center of mass theorem
Online Access:http://hdl.handle.net/1721.1/113608

Internet

http://hdl.handle.net/1721.1/113608

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