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chore: rename to distinguishability
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@@ -12,9 +12,9 @@ Now we very explicitly mention what we contribute in this paper:
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\item Formalization of non-human transaction orchestration in e-commerce as a distinct source of contamination in dynamic pricing systems.
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\item Definition of the Cost of Information (COI) as a mechanism-level quantity for pricing power, together with a theorem showing its erosion under increasing agent saturation.
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\item Design and implementation of a controlled e-commerce research platform, built on a hybrid Kappa-Lambda architecture, for collecting and replaying high-fidelity interaction trajectories.
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\item Construction and empirical validation of a behavioral separability framework that distinguishes human and agent sessions from interaction signals alone using transition kernels and KL-based divergence.
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\item Construction and empirical validation of a behavioral distinguishability framework that distinguishes human and agent sessions from interaction signals alone using transition kernels and KL-based divergence.
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\item Development of a generative contamination mechanism that injects learned agent behavior into the pricing environment for controlled robustness experiments.
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\item Translation of behavioral separability into a defensive pricing mechanism through a distributionally robust reinforcement learning formulation of pricing under non-stationary contamination.
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\item Translation of behavioral distinguishability into a defensive pricing mechanism through a distributionally robust reinforcement learning formulation of pricing under non-stationary contamination.
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\item Empirical evidence that agent contamination reduces revenue and that robustness is condition-dependent, requiring explicit calibration rather than a one-size-fits-all penalty.
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\item Release of a reusable public experimental artifact for reproducing and extending research on dynamic pricing under agent-mediated traffic.
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\end{itemize}
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