14 lines
1.0 KiB
Markdown
14 lines
1.0 KiB
Markdown
---
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layout: single
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title: "Self-Replication Goals"
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categories: research audio deep-learning anomalie-detection
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excerpt: "Combining replication and auxiliary task for neural networks."
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header:
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teaser: assets/figures/13_sr_teaser.jpg
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---
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{:style="display:block; width:80%" .align-center}
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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.
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{% cite gabor2021goals %}
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