Advanced autonomous artificial intelligence (aaai) system and methods

A method for artificial intelligence (AI) utilizing multiple intelligent entities being any one of any combination of multiple AI systems and multiple humans each using a computer system, wherein the intelligent entities electronically communicating over a collective network, the method comprising:

• customizing one or more attributes of an AI system;
• implementing one or more problem solving protocols on a problem request provided by any one of or any combination of the AI system, and the intelligent entities, the problem solving protocols utilizing a common cognitive architecture;
• communicating the AI system and the intelligent entities utilizing a collective network;
• integrating one or more datasets from any one of or any combination of the AI system and the intelligent entities;
• and
• improving, by utilizing one or more techniques, any one of or any combination of the customizing of the attributes, the common cognitive architecture, the collective network and the integrating of the datasets.

A method for artificial intelligence (AI) by problem solving utilizing a common cognitive architecture implemented in an AI system, the method comprising:

• providing a problem request from an intelligent entity being an AI system or a human user using a user interface on a computer system;
• acquiring information associated with the problem request from the intelligent entity;
• identifying multiple additional intelligent entities that are each communicable with each other over a network, and that each have one or more criteria related to one or more request criteria of the problem request, wherein the additional intelligent entities being any one of or any combination of multiple additional AI systems and multiple additional humans each using a computer system;
• implementing by each of the identified additional intelligent entities the common cognitive architecture including one or more problem solving protocols on the problem request to create a completion solution;
• and
• providing the completion solution to the intelligent entity for final acceptance by a user.

A method for artificial intelligence (AI) by problem solving utilizing a collective network of AI systems, the method comprising:

• submitting a problem request from a human user using a user interface on a computer system or from an AI system;
• acquiring information associated with the problem request from the computer system of the human user or from the AI system;
• identifying intelligent entities being any one of or any combination of multiple additional AI systems and multiple humans each using a computer system that are each communicable with each other over a network, and that each have one or more criteria related to one or more request criteria of the problem request;
• implementing by a first intelligent entity of the identified intelligent entities a common cognitive architecture including one or more problem solving protocols on the problem request;
• determining by the first intelligent entity that a completion solution to the problem request requires solving a first sub-problem and one or more additional sub-problems;
• implementing by the first intelligent entity the problem solving protocols on the first sub-problem to create a first sub-solution;
• assigning at least one of the additional sub-problems to a second intelligent entity of the identified intelligent entities, and implementing by the second intelligent entity the problem solving protocols on the at least one of the additional sub-problems to create a second sub-solution;
• creating a decision tree including the first sub-solution and the second sub-solution to create the completion solution to the problem request;
• and
• providing the completion solution to the user interface or the AI system for final acceptance by the user.

A method for artificial intelligence (AI) by integrating one or more datasets from multiple AI systems on a collective network, the method comprising:

• submitting a problem request from a human user using a user interface on a computer system or from an AI system;
• acquiring information associated with the problem request from the computer system of the human user or the AI system;
• identifying multiple intelligent entities that are each communicable with each other over a network, and that each have one or more criteria related to one or more request criteria of the problem request, wherein the intelligent entities being any one of or any combination of multiple additional AI systems and multiple humans each using a computer system;
• assigning the problem request or one or more sub-problems of the problem request to each of the intelligent entities;
• implementing by the intelligent entities a common cognitive architecture including one or more problem solving protocols on the problem request or the sub-problems to create a problem solution or a sub-problem solution, respectively;
• integrating the problem solution and the sub-problem solution to create a completion solution to the problem request;
• and
• providing the completion solution to the user interface or the AI system for final acceptance by the user.

A system for Artificial Intelligence (AI) by utilizing multiple AI systems electronically communicating over a collective intelligence network to respond to a request, the system comprising:

• a computer system comprising:
• a processor, a computer-readable storage medium, and program instructions stored on the computer-readable storage medium being executable by the processor, to cause the computer system to:
• receive a problem request;
• identify AI systems that are each communicable with the computer system, and that each have one or more criteria related to one or more request criteria of the request or the program instructions;
• assign the request to each of the identified AI systems;
• implement by each of the AI systems a common cognitive architecture including one or more problem solving protocols on the request;
• generate one or more answers in response to the request or the program instructions, the answers resulting from collaboration of the identified AI systems;
• and
• provide the answers to a user device.

A method for developing Artificial General Intelligence (AGI) for generating an answer to a response utilizing multiple Artificial Intelligence (AI) systems electronically communicating over collective intelligence network, the method comprising:

• a) inputting a request into an interface of a first AI system by a human user, the request including one or more criteria;
• b) identifying multiple intelligent entities that are each communicable with the first AI system, and that has a criteria related to the criteria of the request, wherein the intelligent entities being any one of or any combination of multiple additional AI systems and multiple humans each using a computer system;
• c) communicating the first AI system and the additional AI systems utilizing a collective intelligence network;
• d) receiving the request by the identified intelligent entities from the first AI system;
• e) generating one or more answers in response to the request by each of the identified intelligent entities;
• f) developing an AGI by collaborating each of the answers to create a collaborative answer;
• and
• g) providing any one of or any combination of the answers and the collaborative answer to the first AI system.

A method for artificial intelligence (AI) utilizing a single computerized intelligent system including multiple AI agents residing in the single computerized intelligent system, the method comprising:

• providing a problem request including a problem criteria into an AI agent residing in a single computerized intelligent system;
• customizing one or more attributes of the AI agent;
• matching, by the AI agent or the single computerized intelligent system, one or more additional AI agents to the problem request based on the problem criteria, the additional AI agents reside in the single computerized intelligent system;
• utilizing, by the AI agent and the additional AI agents, a universal problem solving architecture in a problem solving process on the goal, respectively, to create one or more solutions;
• receiving, by the AI agent, the solutions from each of the additional AI agents for the goal delegated thereto;
• integrating one or more datasets from any one of or any combination of the AI agent and the additional AI agents;
• combining, by the AI agent, the solutions into an overall solution to the goal;
• and
• improving, by the AI agent or the additional AI agents, any one of or any combination of the customizing of the attributes, the common cognitive architecture, and the integrating of the datasets utilizing one or more techniques.