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cs.LG2026
Exhaustive Canonical Skeletons Generation: A Formal Dataset for Decomposable Symbolic Regression
Giorgio Morales, Anikó Ekárt
Neural symbolic regression (SR) models require diverse datasets of mathematical expressions for robust training. However, existing datasets rely predominantly on stochastic samplin…
cs.AI2026
Environmental requirements for the use of social information by artificial life agents using evolved plastic artificial neural networks
Hugh Charterton, James M. Borg, Aniko Ekart
Evolved Plastic Artificial Neural Networks (EPANNs) consist of two principal processes, the first, evolution, and the second, development and in-life learning. In the context of th…