Tootfinder

ORACLE: A rigorous metric and method to explore all near-optimal designs for energy systems
E. M. Turan, S. Moret, A. Bardow
https://arxiv.org/abs/2509.26452 https://

ORACLE: A rigorous metric and method to explore all near-optimal designs for energy systems
Optimization models are fundamental tools for providing quantitative insights to decision-makers. However, models, objectives, and constraints do not capture all real-world factors accurately. Thus, instead of the single optimal solution, real-world stakeholders are often interested in the near-optimal space -- solutions that lie within a specified margin of the optimal objective value. Solutions in the near-optimal space can then be assessed regarding desirable non-modeled or qualitative aspec…

Relational Dissonance in Human-AI Interactions: The Case of Knowledge Work
Emrecan Gulay, Eleonora Picco, Enrico Glerean, Corinna Coupette
https://arxiv.org/abs/2509.15836 https…

Relational Dissonance in Human-AI Interactions: The Case of Knowledge Work
When AI systems allow human-like communication, they elicit increasingly complex relational responses. Knowledge workers face a particular challenge: They approach these systems as tools while interacting with them in ways that resemble human social interaction. To understand the relational contexts that arise when humans engage with anthropomorphic conversational agents, we need to expand existing human-computer interaction frameworks. Through three workshops with qualitative researchers, we f…