Re: Strawman/Steelman

Posted by gepr on Jan 29, 2021; 5:29pm
URL: http://friam.383.s1.nabble.com/Strawman-Steelman-tp7600502p7600508.html

In an attempt to continue following the alt-right, and having landed on a firm ad hominem character judgement of Curtis Yarvin, I need to track the following 3 people (labeled "Trumpist Intellectuals" in a Bulwark article):

https://gyaanipedia.fandom.com/wiki/Chuck_de_Caro
https://en.wikipedia.org/wiki/Michael_Anton
https://en.wikipedia.org/wiki/Angelo_Codevilla

One of the others, "Tom Trenchard" (e.g. https://americanmind.org/features/a-house-dividing/2020-a-retrospective-from-2025/), seems to be a pseudonym. But I have reasons to believe it might be this guy based on the "Tom Trenchard" URL at americnamind.org:

https://isearch.asu.edu/profile/3331751

My point being that your idea for *inducing* reasoning from text (and suggesting changes to that reasoning), I think the most reasonable next step lies in the sentiment analysis and plagiarism identification work that's already going on. I'd like to be able to tell whether Tom Trenchard is actually S. Adam Seagrave by comparing his political writing to his academic writing.

I'd actually *prefer* extending that work over your idea because those links you post (and the ideology they imply) seems, feels to me, like top-down imposition of "right reasoning" onto the biology rather than learning, inducing, how animals reason *from* the animal behavior. If we could build up, with ML, coherent models of biological reasoning, *then* we could compare that to extant models of reasoning like that implied in those links.


On 1/29/21 8:56 AM, Steve Smith wrote:

> In the spirit of some of our other woven threads here, I'm wondering how practical it would be to build a natural language parser which could apply rules such as those found in:
>
>     https://en.wikipedia.org/wiki/Straight_and_Crooked_Thinking
>
>     https://en.wikipedia.org/wiki/List_of_fallacies#Informal_fallacies
>
>     https://en.wikipedia.org/wiki/Cognitive_bias#List_of_biases
>
> Seems like a next obvious step after spell and then grammar checkers?
>
> Maybe something to be applied broadly to social media?
>
> Is it a first step toward an AI Overlord that is more like an overzealous English Major than HAL (2001 space odyssey) or the Lawnmower Man or SID 6.7 (Virtuosity) maybe?   I am reminded of the cautionary tale offered in Jack Williamson's "With Folded Hands" <https://en.wikipedia.org/wiki/With_Folded_Hands> or "the Humanoid Touch".   Even though I knew Jack and heard anecdotes about these stories, I never heard the one described in this Wikipedia article...   a root source of those who fear "the Nanny State" (scare quotes intended) perhaps?
>
> Maybe easier to implement with Machine Learning and ubiquitous training (details left to the reader) than something closer to a rule-based system?  My most recent brush with Natural Language Processing is over 10 years ago and I sense things have progressed in the interim.
>
> - Steve
>
>
>
> https://en.wikipedia.org/wiki/List_of_cognitive_biases

--
↙↙↙ uǝlƃ

- .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. .
FRIAM Applied Complexity Group listserv
Zoom Fridays 9:30a-12p Mtn GMT-6  bit.ly/virtualfriam
un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com
FRIAM-COMIC http://friam-comic.blogspot.com/
archives: http://friam.471366.n2.nabble.com/