4 papers · 1 filter
Unsupervised Cognition
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda +2
Unsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve around clustering samples in a mat…
The Function-Representation Model of Computation
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda +2
Cognitive Architectures are the forefront of the research into developing an artificial cognition. However, they approach the problem from a separated memory and program model of c…
From Manifestations to Cognitive Architectures: a Scalable Framework
Alfredo Ibias, Guillem Ramirez-Miranda, Enric Guinovart +1
The Artificial Intelligence field is flooded with optimisation methods. In this paper, we change the focus to developing modelling methods with the aim of getting us closer to Arti…
Reducing Diversity to Generate Hierarchical Archetypes
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda +2
The Artificial Intelligence field seldom address the development of a fundamental building piece: a framework, methodology or algorithm to automatically build hierarchies of abstra…