Agent-based models for the evolution of morphological alternation patterns

In three linesMulti-agent simulation of morphological alternation emergence (e.g., go/went in English). Alternative forms spread through probabilistic adoption between agents. Evaluation via LLM-driven "Historical Linguist" comparing real, disguised, and evolved morphologies. Scale-free networks and Bernoulli adoption favor plausibility.

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