METHOD FOR VALUING INTELLECTUAL PROPERTY

Patent №

US 7,188,069

Granted

2007-03-06

Filed 2000

Owner

SYRACUSE UNIVERSITY

Lab

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09726277

A method of placing a discrete value on an intellectual property asset through a series of associations and calculations that determine the proportional contribution of an intellectual property asset to the competitive advantage of a related product in a real market. The methodology of the present invention first associates the intellectual property asset with a related tangible asset that embodies the intellectual property asset. After a set of parameters that define the tangible asset are identified, the tangible asset is quantitatively compared to competing tangible assets in the marketplace to determine its overall competitive advantage relative to those competing assets. The contribution of the intellectual property asset to the average competitive advantage of the tangible asset in which it is embodied is calculated by first comparing the intellectual property asset to substitute intellectual property assets that are embodied in competing tangible assets and associated with the same parameter. Next, the intellectual property asset is compared to complementary intellectual property assets that are included in the same tangible asset and associated with the same parameter group. Based upon the proportional competitive advantage contribution of the intellectual property asset to the average competitive advantage of the tangible asset, a percentage of the tangible asset's present value is assigned to the intellectual property asset. The present invention can also be used for planning development of pre-market products, calculating the value of a license to a licensor and licensee, and selecting among alternative research and development investments.

Knowledge representationPlanningG06Q 30/02G06Q 10/0639G06Q 30/0283G06Q 50/184

AI classification

Planning1.00
Knowledge representation0.98
Machine learning0.03
Vision0.01
AI hardware0.00
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

SYRACUSE UNIVERSITY

assignment · 114660544

Assignors

HAGELIN, THEODORE

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

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