Multidisciplinary and Systemic Education for Artificial Intelligences and other forms of Intelligence (EMSAI-TFT)
Rigene Project - Technological Fields Theory (TFT)
Processing of the TFT-26 parameter: Multidisciplinary and Systemic Education for Artificial Intelligences and other forms of Intelligence (EMSAI-TFT). The TFT-26 parameter constitutes a framework aimed at providing guidelines for developing educational programs aimed at forming a multidisciplinary and systemic analytical mindset for artificial intelligences and other forms of intelligence (human, bioartificial, etc.), with the aim of facilitating the ability to understand complex concepts that require detailed knowledge of various disciplines and systemic vision.
Guidelines of the TFT-26 parameter for the multidisciplinary and systemic configuration of the human mindset:
The TFT-26 parameter provides some guidelines for the development of educational programs aimed at forming a multidisciplinary and systemic analytical mindset for humans.
The main guidelines are as follows:
Multidisciplinarity: the educational program must provide in-depth knowledge (by learning levels) of different disciplines, such as mathematics, physics, biology, psychology, computer science and other sciences, in order to gain a thorough understanding of complex concepts.
Systematic: The educational program must encourage a systemic view, so that students can understand the relationship between different disciplines and analyze complex problems in a global way.
Advanced Technologies: The educational program must use advanced technologies, such as simulation, virtual reality and data analysis, to facilitate the learning of complex concepts and the acquisition of practical skills.
Practical activities: the educational program must include practical activities, such as laboratory and group activities, in order to encourage teamwork and the exchange of knowledge and skills.
Personalization: The educational program must be tailored to the needs of the students, in order to ensure effective learning and adequate training.
Continuity: the educational program must include a continuous learning path, in order to provide adequate training and a constant evolution of the skills acquired.
Evaluation: The educational program must include constant evaluation of student learning in order to monitor their progress and provide appropriate feedback.
Guidelines of the TFT-26 parameter for the multidisciplinary and systemic configuration of the artificial mindset (artificial intelligences):
The TFT-26 parameter provides some guidelines for configuring artificial intelligences, in order to make them able to analyze and understand a set of complex information in a multidisciplinary and systemic way.
The main guidelines are as follows:
Gathering information: The first step in configuring an artificial intelligence is the gathering of information from different sources and in different forms, such as text, images, video and audio relating to the various scientific disciplines.
Data pre-processing: The collected data must be pre-processed to be used by artificial intelligence, through natural language processing techniques, semantic analysis, entity extraction, among others.
Selecting disciplines: The AI should be configured to select the disciplines relevant to the specific problem it is addressing, using the knowledge gained from the educational curriculum provided by the TFT-26 parameter.
Multidisciplinary analysis: artificial intelligence must be able to analyze the data collected using a multidisciplinary and systemic vision, in order to understand the relationship between different disciplines and analyze the problem globally.
Use of advanced technologies: AI must use advanced technologies, such as simulation, virtual reality and data analysis, to process the collected data and deal with the problem effectively.
Continuous learning activity: artificial intelligence must provide a continuous learning system, in order to improve its knowledge and skills over time.
Monitoring and evaluation: Artificial intelligence must be monitored and evaluated constantly, in order to monitor its functioning and correct any errors or anomalies.
The TFT-26 parameter guidelines for configuring artificial intelligences aim to provide multidisciplinary and systemic training, in order to develop artificial intelligences capable of understanding complex concepts in depth and using knowledge and tools from different disciplines to address problems effectively complex. This approach can help develop high-performance and adaptive artificial intelligences capable of tackling the challenges of the digital age and advanced artificial intelligence.
The TFT-26 parameter can be used to develop artificial intelligence programs capable of analyzing and understanding a set of complex information in a multidisciplinary and systemic way. Thanks to multidisciplinary and systemic training, artificial intelligences will be able to use a wide range of knowledge and tools from different disciplines to tackle complex problems. This multidisciplinary and systemic approach can be applied in different fields, such as medicine, engineering, finance, scientific research and many others, where in-depth understanding of complex concepts and interdisciplinary work are essential to obtain significant results.