To wrap up the first day of #GSO2026, Mikhail Prokopenko outlines his research on characterizing the thermodynamic efficiency of self-organizing phenomena.

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Now, at #GSO2026, Hao Ke presents his project on computational neoplasms, which essentially deals with how pathological self-maintenance can emerge within AI-agent repositories.

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To start our second session of contributed talks at #GSO2026, Earnest Kota Carr presents his work on the use of information theory to characterize the dual dynamics of information flow optimization.

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Now, at #GSO2026, Michael Levin presents his empirical program on collective intelligence, showcasing numerous examples in which bioelectricity acts as a glue enabling the regeneration of multicellular structures.

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Finishing the morning session of #GSO2026, Georgi Georgiev shows us his general framework to reformulate the principle of least action in systems that are thermodynamically open.

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Keep going with #GSO2026, Ivan Samoylenko discusses how guiding self-organization can be implemented in #LLM multi-agent systems via Kantian equilibrium.

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Now Daniel Polani presents his research on how to formalize agency using informational incentives for swarming.

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Our first keynote speaker at #GSO2026 is Andrea Liu, who gave us a lot of insights regarding how we can tune the components of collective dynamics to guide decentralized tasks, vanishing the idea that reservoirs should be black boxes.

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Kicking off #GSO2026, Mikhail Prokopenko gives us an introduction to what guided self-organization is about.

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