I'm working on the latter ;). Stay tuned.
Does anyone know of any work looking at artificial neural networks with fractal (but not necessarily self-similar) architectures or with several different learning rules/updates spread across many different spatiotemporal scales?
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How exciting! Can’t wait to hear more about it
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Might be interesting - Wheeler points to some (now pretty old by ANN standards) work on dynamical ANNs here & notes that they have asynchronous behaviour.https://www.tandfonline.com/doi/full/10.1080/09672550802113235?casa_token=hc1DM3SDmn4AAAAA%3AJtgrBGmSRYwkb_fErQTYt4L9ahBfEE63faLzwIS2k5VdZghS9rcdXuNFr2_cvZbbdn1XUUHhQYafrQ&instName=University+of+Bristol …
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Thanks, I’ll check this out ASAP
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Partly inspired by the fractal character of cities (and partly just looking for a deep, elegant conv net), I apply the fractal architecture used here https://arxiv.org/abs/1605.07648 for image-classification, to the task of city-building in SimCity 1 w/ RL, here: http://www.exag.org/papers/EXAG_2019_paper_21.pdf ….
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Really nice, thanks for sharing these
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Tabor's work on fractal encoding in neural nets is sort of related to your first question:https://onlinelibrary.wiley.com/doi/abs/10.1111/1468-0394.00126?casa_token=cdeTXkWeBjUAAAAA:DNSMgCy-bdv04-TgtXcqUk13B0AMZHoh8LX66Cv5dln5b-jh7FfFiq-dU93BNyXUlBV7Jfe6ZJ173pE …
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Tabor’s work is a bit over my head, but now I’ve got some inspiration to learn more about automata theory!
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Also that view follows from FEP, imo. Maybe
@jakublimanowski can suggest something concrete :) -
Sorry late to the party! I'd recommend: https://arxiv.org/abs/1906.10184 (exhaustive & hard), https://www.sciencedirect.com/science/article/pii/S0149763418302525 … and for more accessible (and/or philosophical) descriptions: https://royalsocietypublishing.org/doi/full/10.1098/rsif.2017.0792 …, this collection: https://predictive-mind.net/ , or the books by
@fluffycyborg and@hohwy
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