![]() | This article is rated Stub-class on Wikipedia's
content assessment scale. It is of interest to the following WikiProjects: | |||||||||||||||||||||||||||||||||||||||||||||||
|
This article presently excludes RBML from RBS, but the rule-based system article is largely written in generic language, and should conceptually cover all rule-based systems ... until it doesn't. It's a big mess.
For my own notes, I'm using rule-based system as an inclusive, conceptual term, and I've marshalled the hand-crafted aspects into [[boutique rule-based system]]
(works for me!), but I doubt that would fly here. Any better ideas fit for public consumption? —
MaxEnt
00:18, 18 March 2017 (UTC)
I wonder if "Singular Model" (as opposed to RMBL in the article) would better be renamed "Smooth Model". My thought behind this is that recent research trend around Neurosymbolic AI (see Hybrid_intelligent_system) is also about trying to uncover implicit decision rules embedded in neural network. For example, see (Lamb et al.) [1] on this. Hence one can make the assumption that any model is kind of decision model where knowledge is stored in a more or less cripsy/diffuse way (human interpretable vs vague set of weights). RBML would therefore be higher on this "crispy" scale (readable scale) than more global methods (e.g. neural networks). Same for Bayesian networks. Any thoughts on this ? — GenEars ( talk) 16:40, 5 November 2021 (UTC)
References
![]() | This article is rated Stub-class on Wikipedia's
content assessment scale. It is of interest to the following WikiProjects: | |||||||||||||||||||||||||||||||||||||||||||||||
|
This article presently excludes RBML from RBS, but the rule-based system article is largely written in generic language, and should conceptually cover all rule-based systems ... until it doesn't. It's a big mess.
For my own notes, I'm using rule-based system as an inclusive, conceptual term, and I've marshalled the hand-crafted aspects into [[boutique rule-based system]]
(works for me!), but I doubt that would fly here. Any better ideas fit for public consumption? —
MaxEnt
00:18, 18 March 2017 (UTC)
I wonder if "Singular Model" (as opposed to RMBL in the article) would better be renamed "Smooth Model". My thought behind this is that recent research trend around Neurosymbolic AI (see Hybrid_intelligent_system) is also about trying to uncover implicit decision rules embedded in neural network. For example, see (Lamb et al.) [1] on this. Hence one can make the assumption that any model is kind of decision model where knowledge is stored in a more or less cripsy/diffuse way (human interpretable vs vague set of weights). RBML would therefore be higher on this "crispy" scale (readable scale) than more global methods (e.g. neural networks). Same for Bayesian networks. Any thoughts on this ? — GenEars ( talk) 16:40, 5 November 2021 (UTC)
References