Francesca Toni

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About

Francesca Toni is a leading figure in artificial intelligence, whose work has fundamentally shaped the fields of computational argumentation, multi-agent systems, and explainable AI. Her research provides the formal and practical foundations for how intelligent agents can reason, negotiate, and justify their decisions. Her seminal paper "Declarative Agent Control" (2005, 21 citations) introduced a logic-based framework for specifying and implementing the behaviour of autonomous agents, enabling them to reconcile reactive and proactive goals—a cornerstone contribution that has influenced subsequent work in agent programming and robotics. More recently, her investigations into "Artificial intelligence-empowered technology in the home" (2021, 3 citations) critically examine how AI systems can be designed to be truly beneficial and trustworthy for everyday users. Beyond these works, Professor Toni is renowned for pioneering the concept of *assumption-based argumentation* (ABA), a powerful formalism for non-monotonic reasoning that has been widely adopted for applications in legal reasoning, medical diagnosis, and online debate analysis. Her research consistently bridges rigorous theory with practical impact, making her a highly respected voice in the quest for transparent and accountable AI.