arXiv:2603.26678v1 Announce Type: cross
Abstract: AI and renewable energy are increasingly framed as a “power couple” — the idea that surging AI electricity demand will accelerate clean-energy investment — yet concerns persist that AI will instead e…
arXiv:2603.11560v3 Announce Type: replace-cross
Abstract: This paper develops a dynamical framework for adaptive coordination in systems of interacting agents referred to here as Feedback-Coupled Memory Systems (FCMS). Instead of framing coordination …
arXiv:2603.27868v1 Announce Type: cross
Abstract: Human decision makers increasingly delegate choices to AI agents, raising a natural question: does the AI implement the human principal’s preferences or pursue its own? To study this question using rev…
arXiv:2510.15214v2 Announce Type: replace-cross
Abstract: Motivated by the problem of selling large, proprietary data, we consider an information pricing problem proposed by Bergemann et al. that involves a decision-making buyer and a monopolistic sel…
arXiv:2603.23685v1 Announce Type: cross
Abstract: Recent advances in generative AI systems have dramatically reduced the cost of digital production, fueling narratives that widespread participation in software creation will yield a proliferation of vi…
arXiv:2104.14744v5 Announce Type: replace-cross
Abstract: Many real-world games contain parameters which can affect payoffs, action spaces, and information states. For fixed values of the parameters, the game can be solved using standard algorithms. H…
arXiv:2603.18385v2 Announce Type: replace-cross
Abstract: We present a new solution concept called evolutionarily stable Stackelberg equilibrium (SESS). We study the Stackelberg evolutionary game setting in which there is a single leading player and a…
arXiv:2603.23685v2 Announce Type: cross
Abstract: Recent advances in generative AI systems have dramatically reduced the cost of digital production, fueling narratives that widespread participation in software creation will yield a proliferation of vi…