ARTIFICIAL INTELLIGENCE MODULE COMMUNICATION

[0000]
A system, method, and computer program product for implementing artificial intelligence module communication is provided. The method includes generating models associated with communications between real-time artificial intelligence modules. Classifiers associated with the models are generated and a master real-time artificial intelligence module associated with the modules and classifiers is detected. Real-time artificial intelligence modules are detected and communications between the master real-time artificial intelligence module and the real-time artificial intelligence modules are initiated. Updated classifiers, updated models, and updated self learning software are generated. The updated self learning software is executed and a resulting query associated with a Web search is executed.

[00000]

1 . A hardware device comprising a processor coupled to a computer-readable memory unit, the memory unit comprising instructions that when executed by the processor implements a real-time artificial intelligence module communication method comprising:

generating, by said processor, models associated with communications between real-time artificial intelligence modules;

generating, by said processor, classifiers associated with said models;

detecting, by said processor, a master real-time artificial intelligence module associated with said models and said classifiers;

detecting, by said processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules;

initiating, by said processor with respect to computer language rules, communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

generating, by said processor in response to results of said communications, updated classifiers associated with said classifiers;

generating, by said processor in response to results of said communications and with respect to said updated classifiers, updated models associated with said models;

generating, by said processor in response to results of said communications and with respect to said updated models, updated self learning software for execution of said communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

executing, by said processor, updated self learning software; and

executing, by said processor in response to user input with respect to said executing said updated self learning software, a query associated with a Web search.

2 . The hardware device of
claim 1
, wherein said executing said query comprises:

parsing semantics associated with indexing functionality of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

parsing code based language of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

executing a real time query of said master real-time artificial intelligence module;

querying, via said master real-time artificial intelligence module in response to said executing said real time query, said plurality of real-time artificial intelligence modules;

retrieving, in response to results of said querying said plurality of real-time artificial intelligence modules, search results of said query; and

presenting to a user, via a specialized graphical user interface (GUI), said search results.

3 . The hardware device of
claim 2
, wherein said specialized GUI comprises a virtual reality (VR) interface device.

4 . The hardware device of
claim 2
, further comprising:

determining, based on results of analyzing said search results, that relevant information is missing from query based information of said search results; and

requesting, in response to results of said determining, additional information associated with said query based information.

5 . The hardware device of
claim 2
, wherein said method further comprises:

determining, based on results of analyzing said search results, that query based information of said search results comprises all necessary information; and

enabling, in response to results of said determining, said updated self learning software and additional VI software modules associated with suppliers, vendors, and Websites identified in response to said executing said real time query.

6 . The hardware device of
claim 1
, wherein said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules comprise chatbot modules.

7 . The hardware device of
claim 1
, wherein said generating said classifiers comprises:

determining, by said processor, an availability for a functionality of a Web page with respect to said query;

determining, by said processor, required information for facilitating said functionality of said Web page; and

determining, by said processor, an outcome associated with said functionality of said Web page.

8 . The hardware device of
claim 7
, wherein said outcome is associated with a quote, a delivery, or information associated with a product.

9 . A real-time artificial intelligence module communication method comprising:

generating, by a processor of a hardware device, models associated with communications between real-time artificial intelligence modules;

generating, by said processor, classifiers associated with said models;

detecting, by said processor, a master real-time artificial intelligence module associated with said models and said classifiers;

detecting, by said processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules;

initiating, by said processor with respect to computer language rules, communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

generating, by said processor in response to results of said communications, updated classifiers associated with said classifiers;

generating, by said processor in response to results of said communications and with respect to said updated classifiers, updated models associated with said models;

generating, by said processor in response to results of said communications and with respect to said updated models, updated self learning software for execution of said communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

executing, by said processor, updated self learning software; and

executing, by said processor in response to user input with respect to said executing said updated self learning software, a query associated with a Web search.

10 . The method of
claim 9
, wherein said executing said query comprises:

parsing semantics associated with indexing functionality of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

parsing code based language of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

executing a real time query of said master real-time artificial intelligence module;

querying, via said master real-time artificial intelligence module in response to said executing said real time query, said plurality of real-time artificial intelligence modules;

retrieving, in response to results of said querying said plurality of real-time artificial intelligence modules, search results of said query; and

presenting to a user, via a specialized graphical user interface (GUI), said search results.

11 . The method of
claim 10
, wherein said specialized GUI comprises a virtual reality (VR) interface device.

12 . The method of
claim 10
, further comprising:

determining, based on results of analyzing said search results, that relevant information is missing from query based information of said search results; and

requesting, in response to results of said determining, additional information associated with said query based information.

13 . The method of
claim 10
, further comprising:

determining, based on results of analyzing said search results, that query based information of said search results comprises all necessary information; and

enabling, in response to results of said determining, said updated self learning software and additional VI software modules associated with suppliers, vendors, and Websites identified in response to said executing said real time query.

14 . The method of
claim 9
, wherein said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules comprise chatbot modules.

15 . The method of
claim 9
, wherein said generating said classifiers comprises:

determining, by said processor, an availability for a functionality of a Web page with respect to said query;

determining, by said processor, required information for facilitating said functionality of said Web page; and

determining, by said processor, an outcome associated with said functionality of said Web page.

16 . The method of
claim 15
, wherein said outcome is associated with a quote, a delivery, or information associated with a product.

17 . The method of
claim 10
, further comprising:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the hardware device, said code being executed by the processor to implement: said generating said models, said generating said classifiers, said detecting said master real-time artificial intelligence module, said detecting said plurality of real-time artificial intelligence modules, said initiating, said generating said updated classifiers, said generating said updated models, said generating said updated self learning software, said executing said updated self learning software, and said executing said query.

18 . A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a processor of a hardware device implements a real-time artificial intelligence module communication method, said method comprising:

generating, by a processor of a hardware device, models associated with communications between real-time artificial intelligence modules;

generating, by said processor, classifiers associated with said models;

detecting, by said processor, a master real-time artificial intelligence module associated with said models and said classifiers;

detecting, by said processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules;

initiating, by said processor with respect to computer language rules, communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

generating, by said processor in response to results of said communications, updated classifiers associated with said classifiers;

generating, by said processor in response to results of said communications and with respect to said updated classifiers, updated models associated with said models;

generating, by said processor in response to results of said communications and with respect to said updated models, updated self learning software for execution of said communications between said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

executing, by said processor, updated self learning software; and

executing, by said processor in response to user input with respect to said executing said updated self learning software, a query associated with a Web search.

19 . The computer program product of
claim 18
, wherein said executing said query comprises:

parsing semantics associated with indexing functionality of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

parsing code based language of said master real-time artificial intelligence module and said plurality of real-time artificial intelligence modules;

executing a real time query of said master real-time artificial intelligence module;

querying, via said master real-time artificial intelligence module in response to said executing said real time query, said plurality of real-time artificial intelligence modules;

retrieving, in response to results of said querying said plurality of real-time artificial intelligence modules, search results of said query; and

presenting to a user, via a specialized graphical user interface (GUI), said search results.

20 . The computer program product of
claim 19
, wherein said specialized GUI comprises a virtual reality (VR) interface device.

BACKGROUND
[0001]
The present invention relates generally to a method for initiating real-time artificial intelligence module communications and in particular to a method and associated system for improving software and artificial intelligence based Website technology associated with detecting and initiating communications between artificial intelligence modules and generating and executing updated self-learning software for execution of a query associated with a Web search.

SUMMARY
[0002]
A first aspect of the invention provides a hardware device comprising a processor coupled to a computer-readable memory unit, the memory unit comprising instructions that when executed by the processor implements a real-time artificial intelligence module communication method comprising: models associated with communications between real-time artificial intelligence modules; generating, by the processor, classifiers associated with the models; detecting, by the processor, a master real-time artificial intelligence module associated with the models and the classifiers; detecting, by the processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules; initiating, by the processor with respect to computer language rules, communications between the master real-time artificial intelligence module and the plurality of real-time artificial intelligence modules; generating, by the processor in response to results of the communications, updated classifiers associated with the classifiers; generating, by the processor in response to results of the communications and with respect to the updated classifiers, updated models associated with the models; generating, by the processor in response to results of the communications and with respect to the updated models, updated self-learning software for execution of the communications between the master real-time artificial intelligence module and the plurality of real-time artificial intelligence modules; executing, by the processor, updated self-learning software; and executing, by the processor in response to user input with respect to the executing the updated self-learning software, a query associated with a Web search.

[0003]
A second aspect of the invention provides a real-time artificial intelligence module communication method comprising: generating, by a processor of a hardware device, models associated with communications between real-time artificial intelligence modules; generating, by the processor, classifiers associated with the models; detecting, by the processor, a master real-time artificial intelligence module associated with the models and the classifiers; detecting, by the processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules; initiating, by the processor with respect to computer language rules, communications between the master real-time artificial intelligence module and the plurality of real-time artificial intelligence modules; generating, by the processor in response to results of the communications, updated classifiers associated with the classifiers; generating, by the processor in response to results of the communications and with respect to the updated classifiers, updated models associated with the models; generating, by the processor in response to results of the communications and with respect to the updated models, updated self-learning software for execution of the communications between the master real-time artificial intelligence module and the plurality of real-time artificial intelligence modules; executing, by the processor, updated self-learning software; and executing, by the processor in response to user input with respect to the executing the updated self-learning software, a query associated with a Web search.

[0004]
A third aspect of the invention provides a computer program product, comprising a computer readable hardware storage device storing a computer readable program code, the computer readable program code comprising an algorithm that when executed by a processor of a hardware device implements a real-time artificial intelligence module communication method, the method comprising: generating, by a processor of a hardware device, models associated with communications between real-time artificial intelligence modules; generating, by the processor, classifiers associated with the models; detecting, by the processor, a master real-time artificial intelligence module associated with the models and the classifiers; detecting, by the processor executing Web crawling software during a Web crawling process, a plurality of real-time artificial intelligence modules; initiating, by the processor with respect to computer language rules, communications between the master real-time artificial intelligence module and the plurality of real-time artificial intelligence modules; generating, by the processor in response to results of the communications, updated classifiers associated with the classifiers; generating, by the processor in response to results of the communications and with respect to the updated classifiers, updated models associated with the models; generating, by the processor in response to results of the communications and with respect to the updated models, updated self-learning software for execution of the communications between the master real-time artificial intelligence module and the plurality of real-time artificial intelligence modules; executing, by the processor, updated self-learning software; and executing, by the processor in response to user input with respect to the executing the updated self-learning software, a query associated with a Web search.

[0005]
The present invention advantageously provides a simple method and associated system capable of automating real-time artificial intelligence module communications.

BRIEF DESCRIPTION OF THE DRAWINGS
[0006]
FIG. 1 illustrates a system for improving software and artificial intelligence based Website technology associated with detecting and initiating communications between artificial intelligence modules and generating and executing updated self-learning software for execution of a query associated with a Web search, in accordance with embodiments of the present invention.

[0007]
FIG. 2 illustrates an algorithm detailing a process flow enabled by the system of FIG. 1 for improving software and artificial intelligence based Website technology associated with detecting and initiating communications between artificial intelligence modules and generating and executing updated self-learning software for execution of a query associated with a Web search, in accordance with embodiments of the present invention.

[0008]
FIG. 3 illustrates an internal structural view of the software/hardware of FIG. 1 , in accordance with embodiments of the present invention.

[0009]
FIG. 4 illustrates a process for i…