<ul><li>The paper explores an approach to constructing energy landscapes of a formal neuron and multilayer artificial neural networks (ANNs).</li><li>The study of informational and thermodynamic entropy in formal neuron and ANN models leads to the conclusion about the energetic nature of informational entropy.</li><li>Modeling ANNs as energy systems makes it possible to interpret the structure of their internal energy as an internal model of the external world.</li><li>The presented research makes it possible to formulate a formal definition of information in terms of the interaction processes between the internal and external energy of the system.</li></ul>

Architecture of Information

Discover more