QUALITATIVE ONTOLOGY IN AUTOMATED INFORMATION SYSTEMS AND ROBOTICS

In the era of Computer Science and Artificial Intelligence, the philosophical analysis of the qualitative might serve, on the one hand, as the basis for carrying out a qualitative applied ontology and, consequently, be useful for designing automated information systems; on the other hand, it would permit a more accurate representation of human actions and natural language, which would be useful in performing complex tasks. The present issue aims at stressing both the epistemic and the ontological aspects of the qualitative in order to explore the challenges posited, first of all, by projecting automated ontologies, computerized taxonomies or electronic databases, and secondly, by programming robots that simulate human qualitative features. Moreover, the issue paves the way for a philosophical analysis of the application of new computer technologies to visual experiences and human cognition.