MC 5501
Many online platforms have associated algorithmic tools that can optimize on a user's behalf, such as algorithmic bidders or price optimizers. Recent advances in agentic AI enable even more use cases for LLM-powered tools and advice. But as algorithmic assistance becomes increasingly common, how will users strategically maneuver their usage of these tools, and what will be the system-wide impact?
In this talk we will address these questions through a game-theoretic lens. We will explore applications of strategic AI agent usage, from advertising auctions to persuasion and sales. Viewing algorithmic agents as components of a broader system, we will discuss ways to mathematically model agent interaction and predict equilibrium outcomes. Along the way, we will study the strategic choices of the users who control the agents (and who anticipate their use by others). We will also discuss implications for platform and AI agent design.
Based on joint work with Yiding Feng, Keegan Harris, Nicole Immorlica, and Alex Slivkins
MC 5479
Annie Cuyt | University of Antwerp
On the cross-fertilisation of Sparse interpolation and Exponential analysis
MC 6460
MC 5501 and Zoom (email compmath@uwaterloo.ca for Zoom link)
MC 5417 and Zoom (email compmath@uwaterloo.ca for Zoom link)
MC 5501 and Zoom (email compmath@uwaterloo.ca for Zoom link)
M3 3127 and Zoom (email compmath@uwaterloo.ca for Zoom link)
MC 5501 and Zoom (email compmath@uwaterloo.ca for Zoom link)