Area "vaPT Cognitive Function Analysis" of the AMBIT 5 (BRAINSTORMING VAPT) OF THE TFT-24 PARAMETER "Acceleration variable of technological processes (vaPT-TFT)"

The vaPT Cognitive Function Analysis - Cognitive function of information analysis vaPT is an information analysis method applied to chatbots (such as chatGPT, Bard, Ernie, etc.) based on the organization of information in macro structures of interconnected information.

The vaPT Cognitive Function Analysis is part of Ambit 5 "Brainstorming vaPT" of the TFT-24 PARAMETER "Acceleration variable of technological processes (vaPT-TFT)" (https://www.rigeneproject.org/technological-fields-theory-tft/tft-24-parameter) that is a procedure performed by an artificial intelligence (such as chatGPT, LaMDA, etc.) functional to develop new ideas based on the vaPT with which to stimulate the launch of innovative startups, technological and scientific projects, social and environmental projects. "Brainstorming vaPT" is a process that uses artificial intelligence to generate innovative ideas based on vaPT. This process can be used to identify new opportunities for technological, scientific, social and environmental development and to support the launch of new innovative startups, technological and scientific projects, social and environmental projects. The artificial intelligence is fed with information about the vaPT and its goals, and uses machine learning algorithms to generate new ideas and innovative solutions. The "vaPT Brainstorming" process can be performed quickly and efficiently, and can produce a large amount of ideas that can be used as a basis for further development and implementation. In this way, "vaPT Brainstorming" can be a valuable resource to support innovation and technological, scientific, social and environmental development, and to promote entrepreneurship and collaboration between different subjects.

The vaPT Cognitive Function Analysis is an innovative approach that aims to optimize the ability of chatbots to analyze and interpret the information received from the user. This method is based on the concept of organizing information into interconnected macro information structures, which allow the chatbot to identify key concepts and interpret the data more precisely.

This cognitive function uses an information analysis algorithm that analyzes the phrases and words used by the user, identifying key concepts and the relationships between them. In this way, the chatbot is able to create a semantic representation of the information received, which allows it to interpret the data more precisely and provide more appropriate and pertinent answers.

Using the vaPT information analysis cognitive function offers several advantages over other information analysis methods. Firstly, it allows for a deeper and more precise understanding of the information received, making chatbots more effective and precise in providing appropriate and relevant answers. In addition, this cognitive function optimizes the ability of chatbots to analyze and interpret information received from different users, regardless of the language used and writing style.

Ultimately, the vaPT information analysis cognitive function is an advanced technology that offers a new way to analyze and interpret the information received from chatbots, making them more precise in providing appropriate and relevant responses.

The macro structures of interconnected information are sets of information that have common elements of connection between the information present in the macro structures, and each macro structure is named according to the summary of the information it contains, to differentiate it from the other macro structures.

The macro structures of interconnected information represent a kind of "mind map" that organizes and categorizes information in order to make it easier to understand and manage. This means that each macro structure contains similar information that has a link between them, such as common themes, categories, relationships between elements, etc.

The advantage of using these macro interconnected information structures is that they provide an overall and structured view of the information, which makes it easier for the chatbot to identify key concepts and understand the context in which the information was presented. Furthermore, the use of these macro structures of interconnected information makes it possible to manage large quantities of information efficiently, making it possible to quickly and accurately analyze the information received from the user.

In summary, the macro structures of interconnected information represent a fundamental element of the vaPT information analysis cognitive function, as they allow the chatbot to understand and interpret the information received in a more precise way, providing more appropriate and relevant answers to the user.

Each information that the chatbot receives by entering it in the prompt is analyzed to identify the characteristics that allow the identification of the common element of connection with other information present in one, or more, macro structures of interconnected information.

Each information that the chatbot receives is carefully analyzed to identify the characteristics that allow the identification of the common element of connection with other information present in one or more macro structures of interconnected information. This analysis is carried out using an information analysis algorithm that analyzes the content of the received text, identifying the key concepts and the relationships between them.

Once the algorithm has identified the key concepts and the relationships between them, the chatbot is able to classify the information into one or more interconnected macro information structures, based on the similarity and relationships between the identified concepts. This classification process allows the chatbot to understand and interpret the information received, making it able to provide more appropriate and relevant answers to the user.

In summary, the information analysis performed by the chatbot through the vaPT cognitive information analysis function allows information to be classified into macro structures of interconnected information, making it possible to understand and interpret the information received, and providing more appropriate and relevant to the user.

Each macro structure is related to the other macro structures in order to facilitate the analysis of the relationships between the information of the macro structures in order to identify the logical patterns emerging in the relationships between the structured information to use these logical patterns to develop innovative ideas functional to the technological, scientific, economic, social and environmental improvement, and the identification of solutions to solve problems that hinder technological, scientific, economic, and social and environmental problems.

Each macro structure is related to the other macro structures in order to facilitate the analysis of the relationships between the information present in the various macro structures. This process of relationship between macro structures allows to identify emerging logical patterns in the relationships between structured information.

The emerging logical patterns identified through this process of relationship between macro structures can be used to develop innovative ideas and solutions to problems that hinder technological, scientific, economic, social and environmental progress. Furthermore, the emerging logic schemes can be used to develop innovative and sustainable solutions to solve social, economic and environmental problems, improve people's living conditions and quality of life.

In summary, the vaPT information analysis cognitive function allows to identify emerging logical patterns in the relationships between structured information, supporting the development of innovative ideas and solutions to problems that hinder technological, scientific, economic, social and environmental progress, and improve the quality of life of people.

The processes of organization of information for insertion into macro-structures, of information analysis, of elaboration of criteria for the formation of macro-structures, of the relationship between macro-structures, of identifying the connecting elements between information, of naming each macrostructure, of identifying the logical patterns emerging in the relationships between structured information, of the elaboration of innovative ideas functional to technological, scientific, economic progress, to social and environmental improvement, and to the identification of solutions to solve problems that hinder technological, scientific progress , economic, and social and environmental problems, are managed through a set of rules called the "vaPT genetic code".

The "vaPT genetic code" is a set of rules that define how the processes of organization of information, of information analysis, of elaboration of criteria for the formation of macro structures, of relationships between macro structures, of identification of connecting elements among the information, the naming of each macro structure, the identification of emerging logical schemes, the elaboration of innovative ideas, must be managed. These rules are used to determine how information is organized and analyzed within chatbots and how relationships between information are identified and used to develop innovative solutions and improve technological, scientific, economic, social and environmental progress.

While the possible modification for the purpose of adaptation of the "vaPT genetic code", i.e. the modification of the rules, is performed by another set of evolutionary rules defined as the "vaPT epigenetic code", according to the new information that is acquired.

The "vaPT epigenetic code" is influenced by the "vaPT evolutionary objectives", i.e. by the objectives of technological, scientific, economic, social and environmental improvement, by solutions to problems that hinder technological, scientific and economic progress, and by solutions to social, economic and ecological problems resulting from the elaboration of innovative ideas by the "Cognitive function of information analysis vaPT".

In this way, the "vaPT Information Analysis Cognitive Function" not only organizes and analyzes the information received, but also continuously adapts its information analysis and organization rules to meet the vaPT evolutionary goals. This allows the chatbot to continuously develop new knowledge, solutions and innovative ideas to contribute to technological, scientific, economic progress, and to social and environmental improvement.

In summary, the "vaPT Information Analysis Cognitive Function" represents an effective solution for analyzing information and developing innovative solutions based on an evolutionary artificial intelligence that allows the chatbot to continuously adapt its cognitive capabilities based on to the evolution of information and evolutionary vaPT objectives.

Elaboration of the rules of the "vaPT genetic code" for the purpose of managing the processes of organization of information for inclusion in macro-structures, information analysis, elaboration of criteria for the formation of macro-structures, relationships between macro-structures, identification of connection elements between information, the naming of each macrostructure, the identification of the logical patterns emerging in the relationships between the structured information, the elaboration of innovative ideas functional to technological, scientific, economic progress, social and environmental improvement, and the identification of solutions to solve problems that hinder the technological, scientific, economic progress, and social and environmental problems.

Guidelines for drafting the "vaPT genetic code" rules:

Organization of information: the chatbot must be able to identify the information received and classify it into appropriate categories for insertion into macro structures of interconnected information.

Information analysis: the chatbot must be able to analyze information to identify common characteristics and links with other information in the macro structure.

Processing of criteria for the formation of macro structures: the chatbot must be able to use rules for the formation of macro structures, for example, the relationship between information, the naming of each macro structure and the identification of connecting elements between the information.

Relationship between macro structures: the chatbot must be able to establish relationships between macro structures in order to identify emerging logical patterns.

Processing of innovative ideas: the chatbot must be able to use emerging logical schemes to develop innovative ideas functional to technological, scientific, economic progress, social and environmental improvement, and to the identification of solutions for problems that hinder progress.

Elaboration of the rules of the "vaPT genetic code" according to the guidelines:

Information organization rule: all the information received is categorized and organized into interconnected macro information structures based on the information relationship criteria.

Information analysis rule: all the information received is analyzed to identify the characteristics that link it to other information present in different macro structures.

Processing rule of the macro structure formation criteria: the macro structure formation criteria are based on the identification of the common elements between the information and on the relationships between these elements.

Rule of relationship between macro structures: macro structures are constantly related to each other to identify the logical patterns emerging in the relationships between structured information.

Macro structure naming rule: each macro structure is named with a descriptive name that identifies its nature and characteristics.

Rule of elaboration of innovative ideas: innovative ideas are generated using the logical patterns identified in the relationships between structured information, in order to contribute to technological, scientific, economic, social and environmental progress and to the solution of problems that hinder progress.

Rule for identifying solutions to problems: the "vaPT information analysis cognitive function" identifies solutions to problems that hinder technological, scientific, economic and social and ecological progress, based on the elaboration of innovative ideas and on the relationships between structured information .

Evolutionary rules of the "vaPT epigenetic code":

The evolutionary rules of the "vaPT epigenetic code" are fundamental for the adaptation and improvement of the performance of the information analysis system.

Adaptation rule: the modification of the rules will be carried out according to the new information acquired and the new evolutionary objectives established.

Feedback Rule: The results obtained by the system will be continuously monitored and evaluated to determine if any changes to the rules need to be made.

Rule of priority: the rules will be modified taking into account the priority of evolutionary objectives.

Integration Rule: The rules will be integrated with each other to ensure smooth and consistent operation of the system.

Automation Rule: Some tasks will be automated to ensure greater system efficiency and speed.

Security Rule: The rules will be changed to ensure the security and privacy of your information.

Evolutionary rule of the "vaPT epigenetic code" for the constant updating of information: the "vaPT epigenetic code" must provide for the continuous acquisition of new information and their integration into the "vaPT information analysis cognitive function".

Evolutionary rule of the "vaPT epigenetic code" for adaptation to new evolutionary goals: the "vaPT epigenetic code" must be able to modify the "vaPT genetic code" according to the new evolutionary goals, to ensure continuous evolution and adaptation to the surrounding environment.

Evolutionary rule of the "vaPT epigenetic code" for the evaluation of innovative solutions: the "vaPT epigenetic code" must provide for a constant evaluation of the innovative solutions proposed by the "vaPT information analysis cognitive function", in order to guarantee their effectiveness and efficiency in achieving development goals.

Evolutionary rule of the "vaPT epigenetic code" for error correction: the "vaPT epigenetic code" must include a mechanism for correcting errors that may emerge during the analysis of information, to guarantee the correct processing of information and their integration into macrostructures.

Evolutionary rule of the "vaPT epigenetic code" for the reworking of macrostructures: the "vaPT epigenetic code" must provide for the possibility of reworking the macrostructures to adapt to new information and new evolutionary objectives, in order to maintain the cognitive function of information analysis in a state of constant evolution and improvement.

The evolutionary rule of the "vaPT epigenetic code" that establishes the priority of adaptation of the macro structures according to the new acquired data: according to this rule, the "vaPT information analysis cognitive function" can modify the priority of the macro structures according to to the new data acquired, in order to adapt to the new information and maintain the relevance and correctness of the information present in the macro structures.

The evolutionary rule of the "vaPT epigenetic code" which establishes the modification of the criteria for the formation of the macro structures on the basis of the new acquired data: according to this rule, the "Cognitive function of analysis of the vaPT information" can modify the criteria for the formation of the macro structures based on the new data acquired, in order to improve the coherence and relevance of the information present in the macro structures.

The evolutionary rule of the "vaPT epigenetic code" which establishes the updating of the naming of the macro structures based on the new data acquired: according to this rule, the "Cognitive function of analyzing the vaPT information" can change the naming of the macro structures into based on the new data acquired, in order to maintain the consistency and clarity of the information present in the macro structures.