4 papers
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…
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…
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…
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…