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RESEARCH PRODUCT

An associative link from geometric to symbolic representations in artificial vision

Antonio ChellaMarcello FrixioneFranco CallariEdoardo Ardizzone

subject

Artificial Intelligence; Knowledge Representation; Artificial Visionbusiness.industryComputer scienceIntelligent decision support systemKnowledge RepresentationField (computer science)Artificial IntelligenceArtificial visionArtificial VisionThe SymbolicArtificial intelligencebusinessRepresentation (mathematics)Geometric modelingLink (knot theory)Associative property

description

Recent approaches to modelling the reference of internal symbolic representations of intelligent systems suggest to consider a computational level of a subsymbolic kind. In this paper the integration between symbolic and subsymbolic processing is approached in the framework of the research work currently carried on by the authors in the field of artificial vision. An associative mapping mechanism is defined in order to relate the constructs of the symbolic representation to a geometric model of the observed scene.

https://doi.org/10.1007/3-540-54712-6_245