Abstract:
Navigate a signal through a non-linear, resource-constrained, time-varying neural network. The topology and node properties mutate based on the global entropy T and local thermal accumulation.
Key Mechanics:
  1. Trivalent Metabolism: You must maintain ATP > 0, Neurotransmittters > 0, and Heat <= 100. Failure in any one resource results in signal termination.
  2. Damerau-Levenshtein Cost: Jump costs are calculated using edit distance including transpositions between the evolving Carrier_Code and the target node's Primary_Code.
  3. Relativistic Signal Speed: Signal velocity decays exponentially as the current node's Heat increases.
  4. Global Entropic Decay: All neuron strings undergo a circular bit-shift every 10 time units, altering the cost landscape dynamically.
  5. Spatial Feedback Inhibition: To simulate neural refractory periods, the signal cannot enter any neuron within a radius R of any previously visited coordinate in the current path.
  6. Resonance Barrier: A synchronization lock prevents entry if sum(ASCII(Carrier_Code))%7== floor(T)%7.
Goal: Find the minimum Time T to reach the Event Horizon node.
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Last Solution submitted on Mar 20, 2026

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Hoang Minh Tri

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