A COGNITIVE ARCHITECTURE FOR ARTIFICIAL VISION

A new cognitive architecture for artificial vision is proposed. The ar chitecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as g uidelines for its design. The first one is the existence of a conceptu al representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language, The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A seco nd cognitive hypothesis concerns the active role of a focus of attenti on mechanism in the link between the conceptual and the linguistic lev el: the exploration process of the perceived scene is driven by lingui stic and associative expectations, This link is modeled as a time dela y attractor neural network, Results are reported obtained by an experi mental implementation of the architecture.