Antonio Lieto

TL;DR: The term "Cognitive Architectures" indicates both abstract models of cognition, in natural and artificial agents, and the software instantiations of such models which are then employed in the field of cognition.

TL;DR: An analysis of two problematic aspects affecting the representational level of cognitive architectures, namely: the limited size and the homogeneous typology of the encoded and processed knowledge are identified and characterized.

TL;DR: An advanced version of Dual-PECCS, a cognitively-inspired knowledge representation and reasoning system aimed at extending the capabilities of artificial systems in conceptual categorization tasks, is presented and integrated and tested into two cognitive architectures, ACT-R and CLARION, implementing different assumptions on the underlying invariant structures governing human cognition.

TL;DR: This paper outlines some proposals for concept representation in formal ontologies, which take into account suggestions from psychological research, and makes the basic assumption that knowledge representation systems whose design takes into account evidence from experimental psychology may therefore give better results in many applications.

TL;DR: It is claimed that Conceptual Spaces offer a lingua franca that allows to unify and generalize many aspects of the symbolic, sub-symbolic and diagrammatic approaches (by overcoming some of their typical problems) and to integrate them on a common ground and to offer a unifying framework for interpreting many kinds of diagrammatic and analogical representations.