Abstract
AbstractIn this paper, by means of a novel use of insights from the literature on scientific modelling, I will argue in favour of an instrumentalist approach to the models that are crucially involved in the study of adaptive systems within the Free-Energy Principle (FEP) framework. I will begin (§2) by offering a general, informal characterisation of FEP. Then (§3), I will argue that the models involved in FEP-theorising are plausibly intended to be isomorphic to their targets. This will allow (§4) to turn the criticisms moved against isomorphism-based accounts of representation towards the FEP modelling practice. Since failure to establish an isomorphism between model and target would result in the former’s failure to represent the latter, and given that it is highly unlikely that FEP-models are ever isomorphic to their targets, maintaining that FEP-models represent their targets as they are, in a realist sense, is unwarranted. Finally (§5), I will consider what implications my argument in favour of an instrumentalist reading of FEP-models has for attempts at making use of the FEP to elaborate an account of what cognition exactly is. My conclusion is that we should not dismiss FEP-based accounts of cognition, as they would still be informative and would further our understanding of the nature of cognition. Nonetheless, the prospects of settling the philosophical debates that sparked the interest in having a “mark of the cognitive” are not good.
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Philosophy
Reference72 articles.
1. Adams, F. (2010). Why we still need a mark of the cognitive. Cognitive Systems Research, 11(4), 324–331. https://doi.org/10.1016/j.cogsys.2010.03.001
2. Adams, F., & Aizawa, K. (2008). The bounds of cognition. Blackwell.
3. Adams, F., & Garrison, R. (2013). The mark of the cognitive. Minds and Machines, 23(3), 339–352. https://doi.org/10.1007/s11023-012-9291-1
4. Allen, M., & Friston, K. J. (2018). From cognitivism to autopoiesis: Towards a computational framework for the embodied mind. Synthese, 195(6), 2459–2482. https://doi.org/10.1007/s11229-016-1288-5
5. Anderson, M. (2017). Of Bayes and bullets: An embodied, situated, targeting-based account of predictive processing. In T. Metzinger & W. Wiese (Eds.), Philosophy and predictive processing. (Vol. 3). MIND Group.