Author(s)

S. Gaglio

Abstract

A cognitive architecture for an artificial vision system, aimed for an autonomous intelligent system, is presented with particular attention to performance aspects. The architecture, based on the active vision paradigm, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design in order to achieve good performance. 1 Introduction An artificial vision system for an autonomous agent must be able to build a rich and concrete internal representation of the external environment. Such an internal representation should allow the system to effectively draw inferences, make decisions and, in general, to perform reasoning processes on its own tasks. In classical symbolic reasoning systems, the symbols are related to abstract entities according to model theoretic semantics

Keywords