Neil Yorke‐Smith

SRI International, University of Cambridge, American University of Beirut

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About

Neil Yorke-Smith is a leading researcher in autonomous agent systems, with a particular focus on the Belief-Desire-Intention (BDI) architecture. His work fundamentally advances how artificial agents reason about and manage their goals in dynamic, real-world environments. Yorke-Smith has made pivotal contributions to goal deliberation, introducing the "Soft COP Model" (2007, 14 citations) to help agents make nuanced decisions about adopting and prioritizing goals. He further explored the critical problem of intention selection under conflict, developing frameworks to quantify goal completeness (2014, 11 citations) and mapping the full life-cycle of BDI agent goals (2010, 9 citations). His research directly addresses the practical challenges faced by autonomous systems, from rescue robots navigating disaster zones to online travel agents managing complex user requests. By formalizing how agents can deliberate over competing objectives and assess the completeness of their goals, Yorke-Smith’s work bridges theoretical agent reasoning with robust, real-world deployment. His contributions remain essential reading for anyone developing intelligent, goal-directed autonomous systems.