Researchers at the Universidad Politécnica de Madrid’s School of Computing have applied modular neural networks to model cognitive functions associated with awareness and time-delay neural networks to temporally model self-awareness.
This research represents a dual advance in the modelling of awareness-associated cognitive functions. On the theoretical side, it applies the theory of informons and holons to awareness structures. An informon is an information entity. It can take the form of data, news or knowledge. The term holon refers to autonomous entities that act both as a part and as a whole.
In the case of human beings, self-awareness does not imply just an abstract image of what one is, but also an image of one’s trajectory throughout time.
The proposed models and their neural network implementations have basically two possible fields of application.
these models could, from a practical viewpoint, also be applicable in the field of artificial intelligence.
clipped from: www.sciencedaily.com