Abstract
This paper investigates the integration of verbal and visual information for describing (explaining) the content of images formed by three–dimensional geometrical figures, from a hybrid neurosymbolic perspective. The results of visual object classifications involving top–down application of stored knowledge and bottom–up image processing are effectively explained relying on both words and pictures. The latter seems particularly suitable in explanations concerning high–level visual tasks involving both top–down reasoning and bottom–up perceptual processes.
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Burattini, E., Coraggio, P., De Gregorio, M., Staffa, M. (2005). Agent WiSARD in a 3D World. In: Mira, J., Álvarez, J.R. (eds) Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. IWINAC 2005. Lecture Notes in Computer Science, vol 3562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499305_28
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DOI: https://doi.org/10.1007/11499305_28
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