activity
19992026
most citedFast Response and Temporal Coding on Coherent Oscillations in Small-World Networks

578 citations · 579 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Working Paper: Towards Schema-based Learning from a Category-Theoretic Perspective

Pablo de los Riscos, Fernando J. Corbacho, Michael A. Arbib

We introduce a hierarchical categorical framework for Schema-Based Learning (SBL) structured across four interconnected levels. At the schema level, a free multicategory $Sch_{syn}…

cs.AI2026

Working Paper: Towards a Category-theoretic Comparative Framework for Artificial General Intelligence

Pablo de los Riscos, Fernando J. Corbacho, Michael A. Arbib

AGI has become the Holly Grail of AI with the promise of level intelligence and the major Tech companies around the world are investing unprecedented amounts of resources in its pu…

cs.AI2024

Working Paper: Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots

Pablo de los Riscos, Fernando J. Corbacho

Artificial General Intelligence (AGI) Agents and Robots must be able to cope with everchanging environments and tasks. They must be able to actively construct new internal causal m…

cs.NE2019

Towards Self-constructive Artificial Intelligence: Algorithmic basis (Part I)

Fernando J. Corbacho

Artificial Intelligence frameworks should allow for ever more autonomous and general systems in contrast to very narrow and restricted (human pre-defined) domain systems, in analog…

cs.NE2016★ 1 cited

Towards the Self-constructive Brain: emergence of adaptive behavior

Fernando Corbacho

Adaptive behavior is mainly the result of adaptive brains. We go a step beyond and claim that the brain does not only adapt to its surrounding reality but rather, it builds itself…

nlin.CG2008

A housing-demographic multi-layered nonlinear model to test regulation strategies

Ramon Huerta, Fernando Corbacho, Luis F. Lago-Fernandez

We propose a novel multi-layered nonlinear model that is able to capture and predict the housing-demographic dynamics of the real-state market by simulating the transitions of owne…