Abstract. Multi-agent systems often operate in dynamic and uncertain environments, where agents must not only pursue individual goals but also safeguard collective functionality. …
Abstract. This paper presents a comparative analysis of cooperative resilience in multi-agent systems, defined as the ability to anticipate, resist, recover from, and transform to …
En esta charla hablaremos sobre mi investigación actual en sistemas multiagente de intereses mixtos y la experiencia en el camino del doctorado.
Cooperative AI is not only a technical challenge but also a question about how to design systems that balance individual incentives and collective welfare. In this first edition, I …
Abstract. Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might …
Highlights from my experience at the Cooperative AI Foundation Summer School — where researchers from around the world gathered to discuss how cooperation and AI can help address …
Abstract. Resilience refers to the ability of systems to with-stand, adapt to, and recover from disruptive events. While studies on resilience have attracted significant attention …