METHOD AND SYSTEM FOR LEARNING RULES FROM A DATA BASE

Patent №

US 11,699,076

Granted

2023-07-11

Filed 2020

Owner

ROBERT BOSCH GMBH

+1 more

AI components

4

ml · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16993995

A system and computer implemented method for learning rules from a data base including entities and relations between the entities, wherein an entity is either a constant or a numerical value, and a relation between a constant and a numerical value is a numerical relation and a relation between two constants is a non-numerical relation. The method includes: deriving aggregate values from said numerical and/or non-numerical relations; deriving non-numerical relations from said aggregate values; adding said derived non-numerical relations to the data base; constructing differentiable operators, wherein a differentiable operator refers to a non-numerical or a derived non-numerical relation of the data base, and extracting rules from said differentiable operators.

Machine learningVisionKnowledge representationPlanningG06N 3/08G06N 3/04G06N 3/042G06N 5/022G06N 5/025

AI classification

Machine learning1.00
Knowledge representation1.00
Planning1.00
Vision0.67
AI hardware0.35
Natural language0.17
Evolutionary computation0.11
Speech0.00

Ownership

ROBERT BOSCH GMBH

assignment · 565670077

CARNEGIE MELLON UNIVERSITY

assignment · 565670077

Assignors

DOMOKOS, CSABA, STEPANOVA, DARIA, KOLTER, JEREMY ZIEG, WANG, PO-WEI

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

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