UNIVERSAL, ONLINE LEARNING IN MULTI-MODAL PERCEPTION-ACTION SEMILATTICES

Patent №

US 8,799,199

Granted

2014-08-05

Filed 2011

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13325316

In one embodiment, the present invention provides a method for interconnecting neurons in a neural network. At least one node among a first set of nodes is interconnected to at least one node among a second set of nodes, and nodes of the first and second set are arranged in a lattice. At least one node of the first set represents a sensory-motor modality of the neural network. At least one node of the second set is a union of at least two nodes of the first set. Each node in the lattice has an acyclic digraph comprising multiple vertices and directed edges. Each vertex represents a neuron population. Each directed edge comprises multiple synaptic connections. Vertices in different acyclic digraphs are interconnected using an acyclic bottom-up digraph. The bottom-up digraph has a corresponding acyclic top-down digraph. Vertices in the bottom-up digraph are interconnected to vertices in the top-down digraph.

Machine learningKnowledge representationPlanningAI hardwareG06N 3/04G06N 3/049G06N 3/0499G06N 3/09G06N 3/092G06N 3/10

AI classification

AI hardware1.00
Machine learning1.00
Knowledge representation0.96
Planning0.60
Vision0.01
Speech0.00
Natural language0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 273850396

Assignors

MODHA, DHARMENDRA S.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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