Method for generating universal learned model

1. A method for generating a universal learned model, comprising:

subjecting a predetermined machine learning model to learning based on predetermined initial data to generate a first initial learned model;

incorporating the generated first initial learned model into a plurality of operating devices;

operating each of the operating devices according to the respectively incorporated first initial learned model;

performing, by each of the operating devices, additional learning based on respective operation data obtained by the operation of the respective operating devices according to the first initial learned model to respectively generate a plurality of individual learned models; and

integrating the plurality of individual learned models to generate a universal learned model for respectively operating the operating devices.

2. The method for generating a universal learned model, according to claim 1 ,

wherein the first initial learned model is generated in a predetermined initial learning server connected to a network, and

wherein the first initial learned model is incorporated into the operating devices by downloading the first initial learned model from the initial learning server to each operating device via the network.

3. The method for generating a universal learned model, according to claim 1 ,

wherein the first initial learned model is incorporated into the operating devices by mounting the initial learned model on an integrated circuit and incorporating the integrated circuit having the first initial learned model mounted thereon into each operating device.

4. The method for generating a universal learned model, according to claim 1 , further comprising:

incorporating the universal learned model into each operating device.

5. The method for generating a universal learned model, according to claim 1 ,

wherein the machine learning model is a learning model having a tree structure in which a plurality of nodes associated with respective hierarchically divided state spaces are hierarchically arranged.

6. The method for generating a universal learned model, according to claim 1 ,

wherein the integrated circuit includes a communication unit that communicates with a predetermined integration processing server,

wherein the individual learned models are transmitted from the respective operating devices to the integration processing server via the respective communication units, and

wherein integrating the plurality of individual learned models is executed in the integration processing server.

7. The method for generating a universal learned model, according to claim 1 ,

wherein the initial data is data generated based on a test or a simulation of an operating device.

8. The method for generating a universal learned model, according to claim 1 ,

wherein integrating the plurality of individual learned models comprises:

selectively integrating the individual learned models according to accompanying information for the respective individual learned models.

9. A method for generating a universal learned model, comprising:

subjecting a predetermined machine learning model to learning based on predetermined initial data to generate a first initial learned model;

incorporating the generated first initial learned model into a plurality of operating devices;

operating each of the operating devices according to the respectively incorporated first initial learned model;

performing, by each of the operating devices, additional learning based on respective operation data obtained by the operation of the respective operating devices according to the first initial learned model to respectively generate a plurality of individual learned models;

integrating the individual learned models to generate a universal learned model for respectively operating the operating devices; and

incorporating the universal learned model into the respective operating devices.

10. A universal learned model generating system, comprising:

a first processor coupled to a network and coupled to a first memory;

a second processor coupled to a network and coupled to a second memory; and

a plurality of operating devices coupled to the network,

wherein the first process is configured to subject a predetermined machine learning model to learning based on predetermined initial data to generate a first initial learned model,

wherein each of the plurality of operating devices is configured to:

operate according to the first initial learned model which is respectively incorporated thereon, and

perform additional learning based on respective operation data obtained by the operation of the respective operating devices according to the first initial learned model to respectively generate a plurality of individual learned models, and

wherein the second processor is configured to:

integrate the plurality of individual learned models to generate a universal learned model for respectively operating the operating devices.

11. The method for generating a universal learned model, according to claim 1 ,

wherein each operating device is a factory machine.

12. The method for generating a universal learned model, according to claim 9 ,

wherein each operating device is a factory machine.

13. The universal learned model generating system, according to claim 10 ,

wherein each operating device is a factory machine.