Pierre Poirier

Papers

Total Citations

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About

Pierre Poirier’s research lies at the intersection of cognitive science, artificial intelligence, and the philosophy of mind, with a particular focus on how embodied agents simulate, learn, and adapt in real-world environments. His most cited work, “AI-SIMCOG: a simulator for spiking neurons and multiple animats’ behaviours” (2009, 14 citations), introduces a powerful computational platform for modeling neural dynamics and multi-agent behavior, enabling researchers to explore the interplay between spiking neural networks and autonomous agents. Poirier’s contributions extend to consciousness studies, as seen in “What Does Consciousness Bring to CTS” (2007, 13 citations), where he argues that conscious processing is essential for artificial agents striving to interact with humans and manage high-volume, real-time data streams. In “Structured thoughts: The spatial-motor view” (2005, 2 citations), he challenges traditional linguistic and digital models of thought, proposing instead that spatial and motor representations form the core of cognition—a view that bridges embodied cognition and AI. Though his citation counts are modest, Poirier’s work is notable for its integrative approach, combining neural simulation, consciousness theory, and embodied cognition to advance our understanding of intelligent behavior in both natural and artificial systems.