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Scientific Reports|March 16, 2026
Sensory-motor control with large language models via iterative policy refinementJonata Tyska Carvalho, Stefano NolfiEvolutionary Computation|June 30, 2023
The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and RobustnessJonata Tyska Carvalho, Stefano NolfiFrontiers in Robotics and AI|February 5, 2025
Global progress in competitive co-evolution: a systematic comparison of alternative methodsStefano Nolfi, Paolo PagliucaCognitive Processing|August 2, 2015
Selection-for-action emerges in neural networks trained to learn spatial associations between stimuli and actionsLuca Simione, Stefano NolfiEntropy (Basel, Switzerland)|December 3, 2020
Making the Environment an Informative Place: A Conceptual Analysis of Epistemic Policies and Sensorimotor CoordinationGiovanni Pezzulo, Stefano NolfiPlos One|November 16, 2016
The Emergence of Selective Attention through Probabilistic Associations between Stimuli and ActionsLuca Simione, Stefano NolfiPlos One|July 14, 2016
Robustness to Faults Promotes Evolvability: Insights from Evolving Digital CircuitsNicola Milano, Stefano NolfiPlos One|April 15, 2021
Autonomous learning of features for control: Experiments with embodied and situated agentsNicola Milano, Stefano NolfiArtificial Life|May 28, 2024
Interaction Rules Supporting Effective Flocking BehaviorNicola Milano, Stefano NolfiPageof 3