Abstract
It is widely accepted within contemporary philosophy of perception that the content of visual states cannot be characterized simply as a list of represented features. This is because such characterization leads to the so-called ‘Many Properties’ problem, that is, it does not allow us to explain how the visual system is able to distinguish between scenes containing different arrangements of the same features. The usual solution to the Many Properties problem is to characterize some basic elements of content as subjects, to which features are attributed by a predication-like relation. In this paper, I reconsider this solution and claim that the Many Properties problem can be solved without postulating such subjects. What is more, I argue that an alternative approach has stronger justification given the empirical data concerning human vision.
Published Version
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