ARTIFICIAL GENERAL INTELLIGENCE
SAKURA AI APPROACH
AGI ALGORITMIC COMBINATION SETS
A combination of algorithms which extract information from synthetic and real data, catalogs and sorts this data into systems of subsystems based on meaning and what makes sense.
A combination of algorithms which maps a set of possible actions given present conditions and future outcomes. It uses emotion based game theory, psychology, predator-prey interaction, unspoken rules of relationships and modern social human programming to create new systems of subsystems if current set of systems does not bring convergence.
A combination of algorithms based on STEM to map current state of the environment - whether it is nature, a cosmopolitan, manufacturing, transport, house, plant, mammal, insect, reptile or a human.
A combination of rules which describe the conditional convergence and top 3 optimum solutions with consequences giving a right to human decision-making and when a decision should be made by a human, when more data should be seeked and when to perform a given task. This can be modified as the model improves.
A combination of nature-based intelligent agents such as modified multi-armed bandit which runs through all given systems of subsystems with the goal of optimization given the set of rules described above.