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Carlotta Langer

Max Planck Institute of Molecular Cell Biology and Genetics, Dresden; Center for Systems Biology Dresden

Integrated information Consciousness is intrinsic causal power, measured as integrated information

Carlotta Langer works at the point where Integrated Information Theory stops being a description of axioms and starts being a number you can compute. Her earlier papers with Nihat Ay, “Complexity as causal information integration” (2020) and “How morphological computation shapes integrated information in embodied agents” (2021), built the specific measure of integrated information her later work depends on, one grounded in the KL-divergence between a system’s full causal structure and a version of it with the parts cut apart. That measure, not IIT 3.0 or 4.0’s own calculations, is what she and her coauthors could actually run on hundreds of simulated agents without the computation becoming intractable.

Her 2026 paper with Jesse van Oostrum and Nihat Ay, “Integrated Information in the Active Inference Framework,” trains agents to navigate a simple environment using active inference, then checks whether the free energy those agents minimize is related to how much information their internal states integrate. The PhD work behind this line of research was completed at the Institute for Data Science Foundations at Hamburg University of Technology, under Ay, before she moved to the Max Planck Institute of Molecular Cell Biology and Genetics in Dresden.

Langer’s contribution is a methodological one as much as a theoretical one. Comparing integrated information theory to a rival framework requires a version of IIT’s central quantity that is cheap enough to compute on hundreds of agents across thousands of training steps, and building that version, without simply declaring the expensive one close enough, is the harder half of the argument.

Known for. Measures of integrated information for embodied and active inference agents

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