Tag: #Uncertainty
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Insight –> selection of ideas
“Insight and the selection of ideas” describes the mechanisms underlying Eureka heuristic, explained within an active inference framework. Perhaps it is no accident that insight moments accompany some of humanity’s most important discoveries in science, medicine, and art. Here we propose that feelings of insight play a central role in (heuristically) selecting an idea from…
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It Takes Two To Think
The title refers to the recent article by Yanai & Lercher. (Itai Yanai is a Professor at the NYU School of Medicine. Martin Lercher is Professor at Heinrich Heine University Düsseldorf at both the Institute for Computer Science and the Department of Biology. ) At the heart of science is a creative ‘night science‘ process,…
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Stats don’t show enough
Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing has some great figures I want to share. They show datasets which are identical over a number of statistical properties, yet produce dissimilar graphs, are frequently used to illustrate the importance of graphical representations when exploring data. As a geo-scientists,…
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Information theory: A foundation for complexity science
Amos Golan and John Harte published a perspective paper, consolidating the insights and research on knowledge and models from incomplete information in complex environments, based on MaxEnt Modeling and inference are central to most areas of science and especially to evolving and complex systems. Critically, the information we have is often uncertain and insufficient, resulting…
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Rethinking Computational Approaches to the Mind
Rethinking Computational Approaches to the Mind Fundamental Challenges and Future Perspectives One-day Online Symposium21st October 2022 REGISTER HERE This one-day online event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches…
