2 papers
cs.AI2025
A representational framework for learning and encoding structurally enriched trajectories in complex agent environments
Corina Catarau-Cotutiu, Esther Mondragon, Eduardo Alonso
The ability of artificial intelligence agents to make optimal decisions and generalise them to different domains and tasks is compromised in complex scenarios. One way to address t…
cs.AI2022
AIGenC: An AI generalisation model via creativity
Corina Catarau-Cotutiu, Esther Mondragon, Eduardo Alonso
Inspired by cognitive theories of creativity, this paper introduces a computational model (AIGenC) that lays down the necessary components to enable artificial agents to learn, use…