IJAR special issue on Unconventional computing for Bayesian inference

International Journal of Approximate Reasoning Special issue on Unconventional computing for Bayesian inference.
edited dy Jorge Lobo and João Filipe Ferreira

This special issue focusses on recent advances and future directions of probabilistic computing for robotics, addressing Bayesian inference for autonomous robots, insights from computational biology, and related topics. In the scope of the european BAMBI FET project (http://www.bambi-fet.eu), and following our successful workshop on Unconventional computing for Bayesian inference at IROS 2015 (http://ap.isr.uc.pt/events/UCBI_iros2015/), there was a followup special issue but with an open call in 2016, and we now have the special issue published.

The virtual special issue can be found here: http://www.sciencedirect.com/science/journal/0888613X/

vsi/105TBDWQCX3

The editorial pdf is available with this direct link: https://authors.elsevier.com/a/1VIqc,KD6ZG8ub

Further details about the BAMBI project can be found here: http://www.bambi-fet.eu
as well as the Public BAMBI Final Report: https://www.bambi-fet.eu/files/2011/12/Public-BAMBI-Final-Report.pdf

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