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Predictive minds can think: Addressing generality and surface compositionality of thought

Rappe, Sofiia (2021) Predictive minds can think: Addressing generality and surface compositionality of thought. [Preprint]

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Abstract

Predictive processing framework (PP) has found wide applications in cognitive science and philosophy. It is an attractive candidate for a unified account of the mind in which perception, action, and cognition fit together in a single model. However, PP cannot claim this role if it fails to accommodate an essential part of cognition—conceptual thought. Recently, Daniel Williams (2018) argued that PP struggles to address at least two of thought’s core properties — generality and rich compositionality. In this paper, I show that neither necessarily presents a problem for PP. In particular, I argue that because we do not have access to cognitive processes but only to their conscious manifestations, compositionality may be a manifest property of thought, rather than a feature of the thinking process, and result from the interplay of thinking and language. Pace Williams, both of these capacities, constituting parts of a complex and multifarious cognitive system, may be fully based on the architectural principles of PP. Under the assumption that language presents a subsystem separate from conceptual thought, I sketch out one possible way for PP to accommodate both generality and rich compositionality.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Rappe, Sofiiasofiia.rappe@campus.lmu.de0000-0003-3343-7025
Keywords: predictive processing, conceptual thought, compositionality, generality, unification
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Cognitive Science > Concepts and Representations
Depositing User: Sofiia Rappe
Date Deposited: 19 Nov 2021 04:48
Last Modified: 19 Nov 2021 04:48
Item ID: 19848
Subjects: Specific Sciences > Cognitive Science
Specific Sciences > Cognitive Science > Concepts and Representations
Date: 11 November 2021
URI: https://philsci-archive.pitt.edu/id/eprint/19848

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