"Science must have an empirical component" is very different to "every unit of communication within a science must have data"
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Same difference for me. Modeling behaviour of a system = formalising the principles according to which the system works = encapsulating theoretical principles (code not required)
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I have linked to a paper (preprint) that just got accepted which only has modelling and the modelling is of psychological behaviors. What's wrong with it and why do you think it's misplaced as a paper? Amusingly the peer reviewers thought it was flawless:https://twitter.com/o_guest/status/936995935594467328 …
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Great example. If I may, here is another: https://twitter.com/irisvanrooij/status/930557140485406726 … (I would also need to retract much of my papers if data was always necessary)
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@PsychScientists very much appreciating the push back - it was what I was hoping for. I think of simulation as valuable deductive reasoning for models whose consequences are non-obvious. Do you think deductive reasoning has a place in psych? Science generally? -
Here are some explicit arguments for this sort of work in: Management: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.562.5016&rep=rep1&type=pdf … Economics: https://www.inet.ox.ac.uk/files/publications/farmer/EconomyNeeds.pdf … Ecology http://www.sciencedirect.com/science/article/pii/S0304380011000524 … Molecular Bio http://www.pnas.org/content/102/2/255.full … and generally http://www.pnas.org/content/99/suppl_3/7280.full … I don't get why psych is special
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(this is all agent-based stuff because that's where my head is).
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I think Cog Sci can offer is this. Agent-based models are simple, and agents are built apriori with minimal internal process. We have validated models of internal processes that produce behaviour. We can help build richer, more realistic models in these contexts
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I feel like we used to do this more. Here is an example with the SOAR architecture, for instance: https://pdfs.semanticscholar.org/4d9c/b8e309fe0fc260e35baad4fc670b748745af.pdf …
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