papers/hanzo-self-improving-agents/sections/10-anti-patterns-and-design-decisions.tex

\section{Anti-Patterns and Design Decisions}

\label{sec:antipatterns}

The 4-Loop Architecture is as much defined by what it \emph{does not do} as
by what it does. We enumerate the anti-patterns it is specifically engineered
to prevent.

\begin{table}[H]
\centering
\caption{Anti-patterns prevented by the 4-Loop Architecture.}
\label{tab:antipatterns}
\begin{tabularx}{\textwidth}{lXX}
\toprule
Anti-Pattern & Description & 4-Loop Prevention \\
\midrule
\textbf{Backlog growth} &
\texttt{OPPORTUNITIES.md} accumulates improvement ideas that are never
acted upon, growing without bound. &
Loop~1 (BIN) acts on triggers immediately. Proposition~\ref{prop:no_backlog}
guarantees $O(\log s)$ backlog size. \\[6pt]

\textbf{Context pollution} &
Self-improvement reasoning bleeds into the active context window, consuming
tokens and degrading task focus. &
All loops write to external stores. Zero impact on active context. \\[6pt]

\textbf{LLM trigger hallucination} &
LLM-based self-judgment generates false positives (``I should build a tool
for X'' when X is not a recurring problem). &
Loop~1 uses deterministic counting. $P = 0.94$ vs.\ LLM $P = 0.61$. \\[6pt]

\textbf{Over-generalization} &
Building a tool that is too general to be reliable, or that duplicates
existing tools with a different interface. &
BIN build pipeline requires evidence from specific $(t,f)$ pairs.
Gate step requires acceptance criteria pass. Probationary status limits damage. \\[6pt]

\textbf{Auto-deployed regression} &
Automatically deploying a new tool or system prompt change that degrades
performance on other tasks. &
Loop~4 is human-gated. Loop~1 tools start probationary. No change without evidence. \\[6pt]

\textbf{Lossy narrative memory} &
Summarizing session events into narrative text that discards threshold-relevant
information. &
Loop~0 appends structured records. Theorem~\ref{thm:entropy} guarantees
$\Omega(\log n)$ entropy advantage. \\[6pt]

\textbf{Preference drift} &
User corrections are not recorded, so the agent repeats corrected behaviors
in later sessions. &
Loop~2 captures all correction signals and writes to persistent facts database. \\[6pt]

\textbf{Cross-session amnesia} &
Each session starts fresh, discarding all learning from prior sessions. &
State $\Sigma^{(s)}$ (facts, tools, reflections) is loaded at session start. \\[6pt]

\textbf{Delayed correction} &
User corrections are applied only to the current session and not persisted. &
Loop~2 writes to the persistent facts database immediately on detection. \\[6pt]

\textbf{Evidence-free proposals} &
Loop~4 proposals generated without supporting evidence from multiple sessions. &
Proposal generation algorithm (Algorithm~\ref{alg:maintenance}) requires
$\gamma_{\text{sessions}} \geq 3$ supporting sessions per proposal. \\
\bottomrule
\end{tabularx}
\end{table}

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