5 papers
Compositional Understanding in Signaling Games
David Peter Wallis Freeborn
Receivers in standard signaling game models struggle with learning compositional information. Even when the signalers send compositional messages, the receivers do not interpret th…
Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
Claire Li, David Freeborn
This study explores how AI-powered digital innovations are reshaping organisational accountability in a transnational governance context. As AI systems increasingly mediate decisio…
Effective Theory Building and Manifold Learning
David Peter Wallis Freeborn
Manifold learning and effective model building are generally viewed as fundamentally different types of procedure. After all, in one we build a simplified model of the data, in the…
Haag as a How-To Theorem
David Freeborn, Marian Gilton, Chris Mitsch
Haag's theorem is a classic no-go theorem. It rigorously demonstrates there is a logical problem with the interaction picture (IP), one of the most widely used modeling tools in qu…
How Haag-tied is QFT, really?
Chris Mitsch, Marian Gilton, David Freeborn
Haag's theorem cries out for explanation and critical assessment: it sounds the alarm that something is (perhaps) not right in one of the standard way of constructing interacting f…