Differentiable resistor networks exhibit catastrophic forgetting in sequential learning, with forgetting severity tied to task conflict, adaptation degree, and network topology.
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2026 2verdicts
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A systematic method tunes local degrees of freedom in a minimal agent model to direct emergent global geometric properties like area coverage, line density, and front curvature in decentralized construction.
citing papers explorer
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Sequential Learning and Catastrophic Forgetting in Differentiable Resistor Networks
Differentiable resistor networks exhibit catastrophic forgetting in sequential learning, with forgetting severity tied to task conflict, adaptation degree, and network topology.
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Systematic Design of Local Rules for Directing Emergent Structure in Bottom-Up Systems
A systematic method tunes local degrees of freedom in a minimal agent model to direct emergent global geometric properties like area coverage, line density, and front curvature in decentralized construction.