Tootfinder

Game Theory to Study Cooperation in Human-Robot Mixed Groups: Exploring the Potential of the Public Good Game
Giulia Pusceddu, Sara Mongile, Francesco Rea, Alessandra Sciutti
https://arxiv.org/abs/2509.24530

Game Theory to Study Cooperation in Human-Robot Mixed Groups: Exploring the Potential of the Public Good Game
In this study, we explore the potential of Game Theory as a means to investigate cooperation and trust in human-robot mixed groups. Particularly, we introduce the Public Good Game (PGG), a model highlighting the tension between individual self-interest and collective well-being. In this work, we present a modified version of the PGG, where three human participants engage in the game with the humanoid robot iCub to assess whether various robot game strategies (e.g., always cooperate, always free…

SpeedCP: Fast Kernel-based Conditional Conformal Prediction
Yeo Jin Jung, Yating Liu, Zixuan Wu, So Won Jeong, Claire Donnat
https://arxiv.org/abs/2509.24100 https://

SpeedCP: Fast Kernel-based Conditional Conformal Prediction
Conformal prediction provides distribution-free prediction sets with finite-sample conditional guarantees. We build upon the RKHS-based framework of Gibbs et al. (2023), which leverages families of covariate shifts to provide approximate conditional conformal prediction intervals, an approach with strong theoretical promise, but with prohibitive computational cost. To bridge this gap, we develop a stable and efficient algorithm that computes the full solution path of the regularized RKHS confor…

Can we get some professional sportsball teams that are worker cooperatives? And why not a whole league? It's motto could be "seize the means of point/goal/run production."

Ikea: Kampagne wirbt mit "Äpple" und angebissenem Apfel – Apple involviert?
Ikea wirbt für eine Produktvorstellung mit Bildern, die sehr an Apples Marke erinnern – inklusive Bezeichnung. Eine Beteiligung Cupertinos ist fraglich.

🤝IMPORTANT COOPERATION! Ukraine and Portugal will jointly manufacture marine drones #shorts: https://benborges.xyz/2025/12/20/important-cooperation-ukraine-and-portugal.html…

The 2025 OpenAI Preparedness Framework does not guarantee any AI risk mitigation practices: a proof-of-concept for affordance analyses of AI safety policies
Sam Coggins, Alex Saeri, Katherine A. Daniell, Lorenn P. Ruster, Jessie Liu, Jenny L. Davis
https://arxiv.org/abs/2509.24394

The 2025 OpenAI Preparedness Framework does not guarantee any AI risk mitigation practices: a proof-of-concept for affordance analyses of AI safety policies
Prominent AI companies are producing 'safety frameworks' as a type of voluntary self-governance. These statements purport to establish risk thresholds and safety procedures for the development and deployment of highly capable AI. Understanding which AI risks are covered and what actions are allowed, refused, demanded, encouraged, or discouraged by these statements is vital for assessing how these frameworks actually govern AI development and deployment. We draw on affordance theory to analyse t…

Just spent the last two days on a Remote Area First Aid course, run by JP of the Overland Guide Association. Really enjoyed it and definitely learned lots.
DRC ABCDE
#Motorcycles #Travel

Urban Spots II ✴️
城市噪点 II ✴️
📷 Nikon F4E
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

REMINDER: Influenza has everything needed to kill people every year and produce a global pandemic every few decades forever. What keeps it at a low “just the flu” level is vaccination. One thing that kept the most recent surges from being more like 1918 is the CDC. What is left of the CDC is inadequate to that task. https://m…

Robust Semiparametric Inference for Bayesian Additive Regression Trees
Christoph Breunig, Ruixuan Liu, Zhengfei Yu
https://arxiv.org/abs/2509.24634 https://

Robust Semiparametric Inference for Bayesian Additive Regression Trees
We develop a semiparametric framework for inference on the mean response in missing-data settings using a corrected posterior distribution. Our approach is tailored to Bayesian Additive Regression Trees (BART), which is a powerful predictive method but whose nonsmoothness complicate asymptotic theory with multi-dimensional covariates. When using BART combined with Bayesian bootstrap weights, we establish a new Bernstein-von Mises theorem and show that the limit distribution generally contains a…