1 citations · 1 across the 5 of their papers we have counts for
6 papers
Beating Transformers using Synthetic Cognition
Alfredo Ibias, Miguel Rodriguez-Galindo, Hector Antona +2
The road to Artificial General Intelligence goes through the generation of context-aware reactive behaviors, where the Transformer architecture has been proven to be the state-of-t…
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…
Knowledge Discovery using Unsupervised Cognition
Alfredo Ibias, Hector Antona, Guillem Ramirez-Miranda +1
Knowledge discovery is key to understand and interpret a dataset, as well as to find the underlying relationships between its components. Unsupervised Cognition is a novel unsuperv…
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…