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| layout | title | categories | excerpt | header | ||
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| single | Self-Replication Goals | research audio deep-learning anomalie-detection | Combining replication and auxiliary task for neural networks. |
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This research delves into the innovative concept of self-replicating neural networks capable of performing secondary tasks alongside their primary replication function. By employing separate input/output vectors for dual-task training, the study demonstrates that additional tasks can complement and even stabilize self-replication. The dynamics within an artificial chemistry environment are explored, examining how varying action parameters affect the collective learning capability and how a specially developed 'guiding particle' can influence peers towards achieving goal-oriented behaviors, illustrating a method for steering network populations towards desired outcomes. {% cite gabor2021goals %}