Carlotta Langer
About Me
I studied Mathematics at the Martin-Luther University Halle-Wittenberg and I am currently a postdoctoral researcher at the Institute for Data Science Foundations at the Hamburg University of Technology. There I am working within the DFG priority programm "The Active Self" .
Research Interests
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Information Flows in Embodied AgentsThe interaction between body, brain and environment of an embodied agent can be modeled via the sensorimotor loop. Using information-theoretic measures allows us to quantify the information flow among the different parts of this system, including measures related to Morphological Computation and Integrated Information.
Complexity MeasuresComplexity in itself is not easy to define. The information-geometric complexity measures I am interested in consider a system to be complex if the whole is more than the sum of its parts. This approach makes use of concepts such as stochastic processes, graphical models and conditional independence relations.
Information-Geometric AlgorithmsThe information-geometric algorithms called iterative scaling and em-algorithm can be used to approximate the maximum likelihood estimation in different settings. The latter can also be applied as a learning algorithm for embodied agents. I am interested in studying the mathematical properties of these algorithms.
Presentations
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How morphological computation shapes integrated information in embodied agentsPresented at the Models of Consciousness Conference 2
(online, 27. September 2021) -
Learning to predict requires Integrated InformationPresented at the Models of Consciousness Conference 3
(Stanford, 6. September 2022) -
Integrated Information in the Active Inference FrameworkPresented at the Models of Consciousness Conference 5
(Bamberg, 4. October 2024)
Dissertation
Articles
Published
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In: International Journal of Approximate Reasoning, 2024.
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In: Frontiers in Psychology 12, 2021.
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