Seems to me a much needed message! (This is btw related to the points made by philosopher Cummins in the chapter I tweeted earlier--but perhaps you know)
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It IS disturbing ... especially in cogsci. I wonder sometimes, what went wrong since the birth of cogsci

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Me too! Sometimes I even think I know the answer.


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What do you think? Curious. Or should I not ask?
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I mean the reasons you presented are true IMHO and I think they are close/related to what I see. I see a specific kind of cultural stagnation, the same people again and again, recycling the same or similar ideas... I see very specific biases and very specific types of people
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being promoted with others types of work and people being sidelined. I also see the rise to power of certain people. There are many aspects of our field that are indubitably corrupt. Can't speak for other fields, but they appear often more meritocratic.
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For example, in CompSci if a neural network is better than another, it is appropriately stated as such. In CogSci we have issues around what types of work we consider better. Often these hierarchies are not based on merit.
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I notice something perhaps related: that cogsci researchers often defend particular frameworks (Bayesian, connectionist, logic, heuristics, dynamicsl) and then oppose competing frameworks, rather than explore how they compare and in some cases even translate into each other.
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Also, I think we can do better in terms of cummulative research, build on each others' theoretical ideas. Not just test / pit ideas again each other. The latter is useful, sure, but sometimes other approaches are useful.
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Either they don't understand what modelling has to offer or they just don't care because they believe "good" theories don't require such complexities. :/
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I mean by all means ask them as I literally have no idea.

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Its helpful for me tho and what I'm looking for. Trying to understand the roadblock here.
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