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Emergência de Inteligência nos Sistemas
Authors: F. Carvalho Rodrigues, Andre S. Ribeiro
Ref.: Revista da Academia das Ciências de Lisboa (2004)
Abstract: A systems structure resides in the interactions, being emergency and transition of phase synonyms, caused by the variation of the relativistic information quantity. This variation explains the intelligence emergency in biological neuronal nets, being a measure of the intelligence of such structures. States of maximum variability of information, low internal energy and low heat dissipation were defined as favorable for intelligence emergency. An algorithm was built that determines those states analytically in function of connectivity, avoiding the transcomputational problem of generating all possible configurations of the systems. Those states occur in a discontinuous way for growing values of connectivity, evidencing that only some states of a system are favorable to the intelligence emergency and that the biological neuronal nets only exist in some states being unable to evolve continuously, but by leaps. The algorithm was validated comparing his solutions with the experimental data of the neuronal nets of C. Elegans and human brain, being verified adherence between the foreseen connectivity and the experimental measures. It was verified that some configurations of the favorable states to the intelligence emergency are small worlds and that the constant decrease of the separation degree demands growing increase of connectivity.
