At the end of the last century, neuroscientists like Crick [1] and physicists like Penrose [2] asserted that it was time for science to tackle consciousness. This led to a true explosion of scientific work in this regard. The Integrated Information Theory (IIT), proposed by neuroscientist Giulio Tononi [3], represents an effort to make sense not only of the philosophy of consciousness but also of conscious experiences and the neurology of consciousness in a rigorous theoretical framework that defines, quantifies, and enables the determination of which systems are conscious and which are not. A significant challenge in neuroscience is identifying groups of neuronal units in a system that share similar functionality and form irreducible sets. Evaluating the irreducibility of a system involves finding the MIP, and this is a numerically intractable problem. Given the importance of this problem for neuroscience, cognitive sciences, network sciences, and artificial intelligence, this research proposal aims to explore possible alternatives to facilitate the identification of the MIP.