Supervised Neural Network Models for Processing Graphs

Abstract

An intelligent agent interacts with the environment where it lives taking its decisions on the basis of sensory data that describe the specific context in which the agent is currently operating. These measurements compose the environment representation that is processed by the agent's decision algorithms and, hence, they should provide sufficient information to yield the correct actions to support the agent's life. In general, the developed environment description is redundant to provide robustness with respect to noise and eventual missing data. On the other hand, a proper organization of the input data can ease the development of successful processing and decisional schemes. © Springer-Verlag Berlin Heidelberg 2013.