ByrdNick, to psychology
@ByrdNick@nerdculture.de avatar

How should numeric probabilities be translated into words? Maybe they shouldn't be.

"Words of estimative probability" wreak havoc in high-stakes communication like assessments and briefings, in part because intelligence and defense institutions map numbers to different words (!) — see Amelia Kahn's forthcoming work at ameliakahn.wordpress.com.

RossGayler, to mathematics
@RossGayler@aus.social avatar

Maths/CogSci/MathPsych lazyweb: Are there any algebras in which you have subtraction but don't have negative values? Pointers appreciated. I am hoping that the abstract maths might shed some light on a problem in cognitive modelling.

The context is that I am interested in formal models of cognitive representations and I want to represent things (e.g. cats), don't believe that we should be able to represent negated things (i.e. I don't think it should be able to represent anti-cats), but it makes sense to subtract representations (e.g. remove the representation of a cat from the representation of a cat and a dog, leaving only the representation of the dog).

This might also be related to non-negative factorisation: https://en.wikipedia.org/wiki/Non-negative_matrix_factorization

@cogsci

ByrdNick, to psychology
@ByrdNick@nerdculture.de avatar

We know that the task demands of cognitive tests most scores: if one version of a problem requires more work (e.g., gratuitously verbose or unclear wording, open response rather than multiple choice), people will perform worse.

Now we have observed as much in Large Language Models: https://doi.org/10.48550/arXiv.2404.02418

The tests included analogical reasoning, reflective reasoning, word prediction, and grammaticality judgments.

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