EVOLUTIONARY AUTONOMOUS AGENTS AND THE NATURE OF APRAXIA

Evolutionary autonomous agents and the nature of apraxia

Abstract Background Evolutionary autonomous agents are robots or robot simulations whose controller is a dynamical neural network and whose evolution occurs autonomously under the guidance of a fitness function without the detailed or explicit direction of an external programmer.They are embodied agents with a simple neural network Winter Sports -

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Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignancies

Abstract Myeloid malignancies exhibit considerable heterogeneity with overlapping clinical and genetic features among subtypes.We present a data-driven approach that integrates mutational features and clinical covariates at diagnosis within networks of their probabilistic relationships, enabling the discovery of patient subgroups.A key strength is

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