We end this very short paper on this point:
> We should not [...] prioritize numerical correlation over explanation [because it risks] render[s] our fields closer to pseudoscience. Computational cognitive science in principle
can and should do more than merely model data.
doi.org/10.5281/zeno...
Another is:
2️⃣ "numerical point prediction is not something
we can nor should expect" from our models at all!
Something that I think is completely lost on so many people sadly, especially in modern artificial intelligence hype rhetoric.
5/
Finally:
5️⃣ models are not (of the) data!
> This confusion [of] map and territory, theory and observations, [is at the root of] damaging issues in contemporary theorising, especially when under the influence of the technology industry’s logic
doi.org/10.5281/zeno...
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