Modularity and the predictive mind
T. Metzinger and W. Weise, (Eds), Philosophy and Predictive Processing (2017)
Abstract
Modular approaches to the architecture of the mind claim that some mental mechanisms, such as sensory input processes, operate in special-purpose subsystems that are functionally independent from the rest of the mind. This assumption of modularity seems to be in tension with recent claims that the mind has a predictive architecture. Predictive approaches propose that both sensory processing and higher-level processing are part of the same Bayesian information-processing hierarchy, with no clear boundary between perception and cognition. Furthermore, it is not clear how any part of the predictive architecture could be functionally independent, given that each level of the hierarchy is influenced by the level above. Both the assumption of continuity across the predictive architecture and the seeming non-isolability of parts of the predictive architecture seem to be at odds with the modular approach. I explore and ultimately reject the predictive approach’s apparent commitments to continuity and non-isolation. I argue that predictive architectures can be modular architectures, and that we should in fact expect predictive architectures to exhibit some form of modularity.Author's Profile
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Citations of this work
Vanilla PP for Philosophers: A Primer on Predictive Processing.Wanja Wiese & Thomas Metzinger - 2017 - Philosophy and Predictive Processing.
The Perception-Cognition Border: A Case for Architectural Division.E. J. Green - 2020 - Philosophical Review 129 (3):323-393.
Literal Perceptual Inference.Alex Kiefer - 2017 - In Thomas Metzinger & Wanja Wiese (eds.), Philosophy and predictive processing. Frankfurt, Germany:
Direct perception and the predictive mind.Zoe Drayson - 2018 - Philosophical Studies 175 (12):3145-3164.
References found in this work
The Modularity of Mind: An Essay on Faculty Psychology.Jerry A. Fodor - 1983 - Cambridge, MA: MIT Press.
Whatever next? Predictive brains, situated agents, and the future of cognitive science.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):181-204.