output
20212025
most citedSystem 0: Transforming Artificial Intelligence into a Cognitive Extension

25 citations

6 papers

cs.HC2025★ 25 cited

System 0: Transforming Artificial Intelligence into a Cognitive Extension

Massimo Chiriatti, Marianna Bergamaschi Ganapini, Enrico Panai +2

This paper introduces System 0, a conceptual framework for understanding how artificial intelligence functions as a cognitive extension preceding both intuitive (System 1) and deli…

cs.AI2024★ 10 cited

Psychomatics -- A Multidisciplinary Framework for Understanding Artificial Minds

Giuseppe Riva, Fabrizia Mantovani, Brenda K. Wiederhold +2

Although LLMs and other artificial intelligence systems demonstrate cognitive skills similar to humans, like concept learning and language acquisition, the way they process informa…

cond-mat.dis-nn2024★ 1 cited

Unsupervised machine learning for detecting mutual independence among eigenstate regimes in interacting quasiperiodic chains

Colin Beveridge, Kathleen Hart, Cassio Rodrigo Cristani +3

Many-body eigenstates that are neither thermal nor many-body-localized (MBL) were numerically found in certain interacting chains with moderate quasiperiodic potentials. The energy…

gr-qc2024★ 2 cited

The fermionic double smeared null energy condition

Duarte Fragoso, Lihan Guo

Energy conditions are crucial for understanding why exotic phenomena such as traversable wormholes and closed timelike curves remain elusive. In this paper, we prove the Double Sme…

stat.ME2023★ 1 cited

Mapping poverty at multiple geographical scales

Silvia De Nicolò, Enrico Fabrizi, Aldo Gardini

Poverty mapping is a powerful tool to study the geography of poverty. The choice of the spatial resolution is central as poverty measures defined at a coarser level may mask their…

physics.flu-dyn2021★ 1 cited

Consistency of the Full and Reduced Order Models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows

Maria Strazzullo, Michele Girfoglio, Francesco Ballarin +2

Numerical stabilization is often used to eliminate (alleviate) the spurious oscillations generally produced by full order models (FOMs) in under-resolved or marginally-resolved sim…