3 papers
cs.AI2025
Inferring Capabilities from Task Performance with Bayesian Triangulation
John Burden, Konstantinos Voudouris, Ryan Burnell +3
As machine learning models become more general, we need to characterise them in richer, more meaningful ways. We describe a method to infer the cognitive profile of a system from d…
cs.AI2025
Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI
Danaja Rutar, Alva Markelius, Konstantinos Voudouris +2
One of the core components of our world models is 'intuitive physics' - an understanding of objects, space, and causality. This capability enables us to predict events, plan action…
cs.AI2025
Predictable Artificial Intelligence
Lexin Zhou, Pablo A. Moreno-Casares, Fernando MartÃnez-Plumed +12
We introduce the fundamental ideas and challenges of Predictable AI, a nascent research area that explores the ways in which we can anticipate key validity indicators (e.g., perfor…