A cognitive architecture for artificial vision Export

@article{citeulike:2890510, abstract = {A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual 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 second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the linguistic level: the exploration process of the perceived scene is driven by linguistic and associative expectations. This link is modeled as a time delay attractor neural network. Results are reported obtained by an experimental implementation of the architecture.}, author = {Chella, A. and Frixione, M. and Gaglio, S.}, citeulike-article-id = {2890510}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0004-3702(96)00039-2}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0004-3702(96)00039-2}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6TYF-3SNTJ0G-3/1/edc279d416f38e97b7290b3c920fc732}, doi = {10.1016/S0004-3702(96)00039-2}, journal = {Artificial Intelligence}, keywords = {cbir}, month = {January}, number = {1-2}, pages = {73--111}, posted-at = {2009-05-02 20:04:51}, priority = {2}, title = {A cognitive architecture for artificial vision}, url = {http://dx.doi.org/10.1016/S0004-3702(96)00039-2}, volume = {89}, year = {1997} }

TY - JOUR ID - citeulike:2890510 L3 - citeulike-article-id:2890510 N2 - A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual 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 second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the linguistic level: the exploration process of the perceived scene is driven by linguistic and associative expectations. This link is modeled as a time delay attractor neural network. Results are reported obtained by an experimental implementation of the architecture. IS - 1-2 JF - Artificial Intelligence EP - 111 TI - A cognitive architecture for artificial vision VL - 89 SP - 73 KW - cbir AU - Chella, A AU - Frixione, M AU - Gaglio, S PY - 1997/01// UR - http://dx.doi.org/10.1016/S0004-3702(96)00039-2 ER -