6533b861fe1ef96bd12c598e
RESEARCH PRODUCT
Knowledge representation for robotic vision based on conceptual spaces and attentive mechanisms
Antonio ChellaMarcello FrixioneSalvatore Gagliosubject
Cognitive scienceVision basedKnowledge representation and reasoningMechanism (biology)Computer sciencebusiness.industryRepresentation (systemics)CognitionCognitive architectureKnowledge RepresentationFocus (linguistics)Artificial IntelligenceArtificial Vision; Artificial Intelligence; Knowledge RepresentationArtificial VisionArtificial intelligenceArchitecturebusinessdescription
A new cognitive architecture for artificial vision is proposed. The architecture is aimed for an autonomous intelligent system, as several cognitive hypotheses have been postulated as guidelines for its design. The design is based on a conceptual representation level between the subsymbolic level processing the sensory data, and the linguistic level describing scenes by means of a high-level language. The architecture is also based on the active role of a focus of attention mechanism in the link between the conceptual and the linguistic level. The link between the conceptual level and the linguistic level is modelled as a time-delay attractor neural network.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1995-01-01 |