Thomas Bolander

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About

Thomas Bolander is a leading researcher at the intersection of artificial intelligence, logic, and cognitive robotics, with a primary focus on endowing machines with Theory of Mind (ToM). His work centers on using Dynamic Epistemic Logic (DEL) to enable robots to reason about the beliefs, knowledge, and perspectives of other agents—a critical step toward truly collaborative human-robot interaction. His most cited paper, "Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic" (2020, 36 citations), demonstrates how DEL can formally represent and execute false-belief tasks, a cornerstone of social cognition. Building on this, his 2021 work on "DEL-based Epistemic Planning for Human-Robot Collaboration" (15 citations) provides a theoretical and practical framework for robots to plan actions while considering a human partner's mental state. As a co-editor of the special issue "Epistemic planning: Perspectives on the special issue" (2022, 14 citations), Bolander has helped shape the discourse on how logical reasoning can underpin autonomous decision-making. His contributions are foundational for creating socially aware AI, bridging formal logic with real-world robotic applications.