Predicting ordinary objects into the world
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Date
2022
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Publisher
Taylor & Francis
Abstract
Ordinary objects are experienced to endure over space and
time, to not be collocated with each other, to be composed
of proper parts, and to survive the loss of some of their parts.
These qualities are on the one hand difficult to reconcile for
theorists of perception and on the other hand pose a variety
of problems when considered in isolation. Relying on the
theoretical framework of predictive processing, this paper
argues that we can use the category of a robust predictive
process to conceptualize qualities such as persistence and
compositionality in a unified manner. Traditional problems
concerning the structural properties of ordinary objects, such
as the question of when two objects compose, can then be
reformulated using this new category.
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Keywords
Predictive processing; metaphysics; perception; ordinary objects; phenomenology; kantianism