- Lorem ipsum dolor sit amet, consectetur adipiscing elit. Proin ullamcorper tellus sed ante aliquam tempus. Etiam porttitor urna feugiat nibh elementum, et tempor dolor mattis. Donec accumsan enim augue, a vulputate nisi sodales sit amet. Proin bibendum ex eget mauris cursus euismod nec et nibh. Maecenas ac gravida ante, nec cursus dui. Vivamus purus nibh, placerat ac purus eget, sagittis vestibulum metus. Sed vestibulum bibendum lectus gravida commodo. Pellentesque auctor leo vitae sagittis suscipit. + The primary objective of this thesis is to develop and validate pricing heuristics that protect e-commerce platforms from systematic exploitation by Large Language Model (LLM) agents within dynamic pricing environments. As AI agents increasingly mediate consumer transactions, they enable users to circumvent the Cost of Information (the price premium accumulated through demand signal expression) by conducting reconnaissance in isolated sessions before executing purchases through clean sessions at base prices. This research will make an anticipatory contribution by adapting recommendation system methodologies to distinguish between genuine human browsing behaviour and agent-orchestrated information gathering, thereby enabling pricing systems to maintain margin integrity without degrading the user experience for legitimate customers or getting rid of leads generated by LLMs.
@article{YourPaperKey2024,
- title={Your Paper Title Here},
- author={First Author and Second Author and Third Author},
- journal={Conference/Journal Name},
- year={2024},
- url={https://your-domain.com/your-project-page}
+ @thesis{Rosel2025PHANTOM,
+ title={Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms},
+ author={R{\"o}sel, Daniel},
+ school={IE University},
+ year={2025},
+ address={Madrid, Spain},
+ type={Bachelor's Thesis},
+ note={Advisor: Alberto Mart{\'i}n Izquierdo}
}