Author

James K. Wiles

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Preprint Aug 2026

Emergent Models: Intelligence from Tiny Substrates

Emergent Models (EMs) are a machine learning paradigm based on simple yet open-ended substrates, such as cellular automata, in which modeling is treated not as the learning of a closed-form input-output map but as the emergence, within simple dynamical systems, of computational behaviors that solve external tasks. Such...

Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard et al. · 0 citations

Conference Open access Aug 2026

Emergent Models: Machine Learning from Cellular Automata

Emergent Models (EMs) are a machine learning paradigm based on simple yet open-ended substrates, such as cellular automata, in which modeling is treated not as the learning of a closed-form input-output map but as the emergence of computational behaviors in simple dynamical systems. Such substrates are often based on t...

Giacomo Bocchese, Nicola Giacobbo, Etienne Guichard et al. · IEEE Symposium on Artificial... · 0 citations

Preprint Aug 2026

Implementing Computational Law in Wolfram Language for the Governance of Artificial Intelligence

It is argued that computational law can be used as a governance tool and that a desirable goal would be to formalize the law that can and ought to be programmatically executable.

James K. Wiles · 0 citations