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\section{Comparative Analysis, Completeness, and Objections}
\label{sec:analysis}
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\subsection{Biological--Artificial Correspondences}
Each OPT class aligns with a biological mechanism (plasticity, natural selection, structured reasoning, Bayesian cognition, deliberative planning, optimal feedback control, and distributed coordination). Shared operators in Sec.~\ref{sec:math} support cross-domain guarantees.

\subsection{Coverage, Hybrids, and Orthogonal Descriptors}
Hybrids are explicit (e.g., \hyb{Lrn+Sch} AlphaZero, \hyb{Lrn+Sym} neuro-symbolic, \hyb{Evo/Lrn} neuroevolution). Orthogonal axes capture representation, locus of change, objective, data regime, timescale, and human participation.

\subsection{Objections and Responses}
\textbf{Reduction to optimization.} Mechanisms imply distinct guarantees/hazards (data leakage vs.\ fitness misspecification vs.\ rule brittleness). NFL cautions against collapsing mechanisms.  
\textbf{Hybrid blurring.} OPT treats compositions as first-class; the notation discloses “what changes where, on what objective, and on what timescale.”  
\textbf{Regulatory simplicity.} Seven bins appear minimal for coverage; the short names keep disclosures compact and meaningful.