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Daniel Rosel
2026-02-14 13:13:00 +01:00
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paper/src/chapters/01-intro.tex
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@@ -27,11 +27,12 @@ We formally define interaction data as coming from some actor which can either b
\subsection{Research Questions}
This work addresses three core research questions:
This dissertation is organized around one main research question and three supporting sub-questions:
\begin{enumerate}
\item[\textbf{RQ1}] \textit{Separability}: Can agent and human sessions be reliably distinguished from behavioral interaction signals alone, without relying on network-level or device fingerprinting?
\item[\textbf{RQ2}] \textit{Theoretical Impact}: What is the formal relationship between agent contamination levels and the erosion of pricing power in dynamic pricing systems?
\item[\textbf{RQ3}] \textit{Robust Mitigation}: How can pricing policies be constructed to maintain margin integrity under unknown and non-stationary levels of agent contamination?
\item[\textbf{Main RQ}] How can dynamic pricing systems preserve margin integrity when transaction orchestration is increasingly mediated by non-human agents?
\item[\textbf{SQ1}] \textit{Separability}: Can agent and human sessions be reliably distinguished from behavioral interaction signals alone, without relying on network-level or device fingerprinting?
\item[\textbf{SQ2}] \textit{Theoretical Impact}: What is the formal relationship between agent contamination levels and the erosion of pricing power in dynamic pricing systems?
\item[\textbf{SQ3}] \textit{Robust Mitigation}: How can pricing policies be constructed to maintain margin integrity under unknown and non-stationary levels of agent contamination?
\end{enumerate}

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paper/src/main.tex
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@@ -27,7 +27,7 @@ These behavioral signals serve as inputs for a Distributionally Robust Reinforce
\noindent\textbf{Keywords:} Dynamic Pricing, LLM Agents, Adversarial Machine Learning, E-commerce, Behavioral Detection, Reinforcement Learning
\vspace{1em}
\noindent\textbf{Acknowledgments:} This research was supported by the TPU Research Cloud program.
\noindent\textbf{Acknowledgments:} This research was supported by the TPU Research Cloud program, which provided access to Google Cloud TPU accelerators (including TPU v2/v3/v4).
\clearpage
\input{chapters/01-intro}