Re: Using bootstrap two methods to create general knowledge representation frameworks

A loose analogy is when you focus on a single use case as a means to leverage your understanding of that to bootstrap an understanding of a more general approach. This may involve developing a qualitative (i.e. intuitive) model and reformulating that as a mathematical model.

> On 18 Dec 2024, at 19:26, Milton Ponson <rwiciamsd@gmail.com> wrote:
> 
> Dear all
> 
> The following article caught my attention:
> https://arxiv.org/abs/2401.00350
> Bootstrap method in theoretical physics.
> 
> According to a keyword search, " bootstrapping" refers to several methods used in scientific research.
> 
> The first is statistical and is use d in data science as well. Then there are several bootstrapping methods, one which is used to determine geometric space issues in conformal field theory and the article above mentioned refers to another.
> 
> Since AI uses a lot of statistical modelling and algorithms for (mathematical) pattern detection, my question is can bootstrapping be used to come up with generalized models for knowledge representation
> 
> This is of particular importance if we want to detect generalized theoretical models for unifying or incorporating multiple theories (each with datasets available).
> 
> We can use hypergraph and category theory modeling for hypothetical generalized frameworks and use both bootstraps methods, statistical and physical, to come up with the most plausible (best fitting) generalized categories by using geometric space modeling for expanding mathematical frameworks.
> 
> For those familiar with the mathematical Langlands program it is about building the bridges between theoretical frameworks and consequently finding unified knowledge representation frameworks.
> 
> Bootstrapping is also used in biological sciences and I assume is or could be used in neuroscience as well."
> 
> Any thoughts on this are welcome and also insights to whether any form of bootstrapping is currently used in AI and for finding Biologically Inspired Cognitive Architectures.
> 
> 
> Milton Ponson
> Rainbow Warriors Core Foundation
> CIAMSD Institute-ICT4D Program
> +2977459312
> PO Box 1154, Oranjestad
> Aruba, Dutch Caribbean

Dave Raggett <dsr@w3.org>