\section{Literature Review}

To better understand all wedges of the work, we must start by exploring the nature of agents and agentic computer use and web automation, complementing that with economic reasoning and strategic interaction. The final surface to cover, leads us to data-driven dynamic pricing under uncertainty. The key technical risk is not ``agents buying things'' per se, but agents shaping the behavioral and demand signals that downstream pricing systems consume and depend on. The introduction of these mediating actor entities into economic systems, is further creating a threat of false-name bidding, which prior research has explored in a trading context. Dynamic pricing assumes demand proxies are behaviorally meaningful, while bot detection aims at security and access control. The missing bridge is a principled framework for separating non-human reconnaissance from genuine human demand expression and integrating that separation into pricing heuristics without degrading legitimate user experience (in our research tracked by the user-experience index). This gap, is what our contribution aims to address - particularly for the afformentioned stakeholder groups.

\subsection{Agent Taxonomy and Definitions}

describe agents as defined in \cite{Russell}

\subsection{Economic Agents: From Homo Economicus to Machina Economicus}

Existing behvarioal economic models tend to be criticized for the assumption of rational behavior, as is embodied in the term of homo economicus. The definition of a machina economicus by \cite{Parkes2015} is quite apropriate for our case...
What is the taxonomy and definition of an agent and an actor in this case, a bit more about interaction models in sessions and about dynamic pricing algorithms.

\subsection{Problem Evidence and Market Impact}
Documented instances of agent-driven market disruptions - Quantitative evidence of pricing manipulation - Case studies from affected industries

\subsection{Theoretical Foundations: Economic Prallels}

Economic foundations: relating the problem to options pricing theory. Cost of Information (COI) concept and its relevance

\subsection{Landscape of Existing Work}

Previous efforts in adversarial computer use LLM agents, show how multi-faceted the whole problem is
Here we can show a market visualization (venn-like-diagram)
