METHOD AND APPARATUS FOR DETERMINING RELEVANCE OF ASSIGNMENTS IN COMBINATORIAL MODELS

Patent №

US 8,990,626

Granted

2015-03-24

Filed 2012

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

5

ml · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13716219

An apparatus and computer-implemented method for determining relevance of assignments in combinatorial models, the method comprising: receiving an attribute collection, the attribute collection comprising one or more attributes and one or more possible values for each of attributes; receiving pone or more restrictions, each restriction indicating one or more values for one or more attributes; receiving one or more assignments comprising one or more assigned values for one or more of the attributes; and determining whether the assignment is legal, illegal or partially-legal, wherein an illegal assignment is an assignment which violates a constraint by itself; a legal assignment is an assignment which is not illegal, and for every extension thereof which is illegal, a combination of values assigned to other attributes violates a constraint by itself; and a partially-legal assignment is an assignment which is neither legal nor illegal.

AI classification

Machine learning1.00
AI hardware1.00
Planning0.99
Evolutionary computation0.92
Knowledge representation0.63
Natural language0.01
Vision0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 294760912

Assignors

FARCHI, EITAN D, SEGALL, ITAI, TZOREF-BRILL, RACHEL

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

From the same owner

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