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OfflineFreedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
    #28602752 - 12/29/23 09:43 PM (29 days, 3 hours ago)

Could the AI help find unrecognized assumptions built into the model?

Thats one of the tricky things with these kind of models, unchecked assumptions in the model can give skewed results


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OfflineFreedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
    #28603147 - 12/30/23 09:31 AM (28 days, 15 hours ago)

You might find this interesting

I could see it an example of something that might come out of your thing, as well something that you could use as part of its frame work.


From their main paper:

Quote:

Many negatively connoted personality traits (often termed “dark traits”) have been introduced to account for ethically, morally, and socially questionable behavior. Herein, we provide a unifying, comprehensive theoretical framework for understanding dark personality in terms of a general dispositional tendency of which dark traits arise as specific manifestations. That is, we theoretically specify the common core of dark traits, which we call the Dark Factor of Personality (D). The fluid concept of D captures individual differences in the tendency to maximize one’s individual utility—disregarding, accepting, or malevolently provoking disutility for others—accompanied by beliefs that serve as justifications. To critically test D, we unify and extend prior work methodologically and empirically by considering a large number of dark traits simultaneously, using statistical approaches tailored to capture both the common core and the unique content of dark traits, and testing the predictive validity of both D and the unique content of dark traits with respect to diverse criteria including fully consequential and incentive-compatible behavior. In a series of four studies (N > 2,500), we provide evidence in support of the theoretical conceptualization of D, show that dark traits can be understood as specific manifestations of D, demonstrate that D predicts a multitude of criteria in the realm of ethically, morally, and socially questionable behavior, and illustrate that D does not depend on any particular indicator variable included.




Edited by Freedom (12/30/23 09:32 AM)


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OfflineFreedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
    #28603758 - 12/30/23 07:37 PM (28 days, 5 hours ago)

no where do i find it?


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OfflineFreedom
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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
    #28603815 - 12/30/23 08:17 PM (28 days, 4 hours ago)

I didn't realize it was that easy! my god. I usually TSDR TLDRs if i read the long part

this is blowing my mind, i didn't even think of putting in so many concepts and doing analysis, I'll definitely try it out


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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly] * 1
    #28603839 - 12/30/23 08:37 PM (28 days, 4 hours ago)

So I just tried it out and I love it.

My mind is always seeking and exploring new ideas searching for veins of gold, i love this idea of looking at things from so many angles at once, I will probably create my own template(s)

thanks for sharing this


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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
    #28603861 - 12/30/23 08:56 PM (28 days, 3 hours ago)

I just found a tool to augment a query with lots of your own data. For example you could use an entire cognitive science book as part of your query (if you have the pdf)


https://docs.llamaindex.ai/en/stable/


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Re: AI-Mediated Insight: Harnessing Advanced Analysis for Cognitive Exploration [Re: sudly]
    #28604335 - 12/31/23 08:46 AM (27 days, 16 hours ago)

Quote:

sudly said:
Technically sure, but you'd probably need a lot of computational power, that or going through only a few components or a dimension at a time.

Then again, I did just find a list of abstracts from recently published articles and put the abstract of the second one through the template, and GPT 4 handled it fine, so I suppose the computational power is already there really. Putting the whole PDF through I did have to focus on one dimension at a time for a good depth of analysis, but it's there.

Quote:

Abstracts of recent articles published in Psychology Teaching Review

Argument complexity: Teaching undergraduates to make better arguments

Matthew A. Kelly and Robert L. West
Psychology Teaching Review, 23(2), 20–31.

The task of turning undergrads into academics requires teaching them to reason about the world in a more complex way. We present the Argument Complexity Scale, a tool for analysing the complexity of argumentation, based on the Integrative Complexity and Conceptual Complexity Scales from, respectively, political psychology and personality theory. Argument Complexity classifies arguments based on acknowledgement and consideration of conflicting evidence or conflicting frameworks for judging the issue, use of frameworks for evaluating evidence, and use of meta-frameworks for evaluating frameworks. We discuss how the Argument Complexity Scale can be used to teach undergraduate students to reason and write like academics by providing the scaffolding for forming complex argumentation.

https://journals.sagepub.com/doi/full/10.1177/1475725717747784








I'm curious why it would use a lot of processing power, as the text of a book isn't data heavy


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