This paper looks at the nature of normal-proper functions and the role they play in theories of representational content. More specifically: I lay down two desiderata for a theory which tries to capture what's distinctive of normal-proper functions and discuss two prominent theories which claim to satisfy them. I discuss the advantages of having normal-proper functions ground a theory of representational content. And, I look at both orthodox and heterodox versions of such theories.

Sometimes when we describe our own sensory experiences we seem to attribute to experience itself the same sorts of familiar properties – such as shape or colour – as we attribute to everyday physical objects. But how literally should we understand such descriptions? Can there really be phenomenal elements or aspects to an experience which are, for example, quite literally square? This paper examines how these questions connect to a wide range of different commitments and theories about the metaphysics of (...) mind. In particular, I consider whether there may be phenomenological reasons to accept or reject the idea that there are elements or aspects of conscious experience itself which instantiate familiar spatial properties. I also explore how some general theses about the nature of empirical properties can motivate different answers to these questions. (shrink)

Perceptual constancy has played a significant role in philosophy of perception. It figures in debates about direct realism, color ontology, and the minimal conditions for perceptual representation. Despite this, there is no general consensus about what constancyis. I argue that an adequate account of constancy must distinguish it from three distinct phenomena:meresensory stability through proximal change, perceptualcategorizationof a distal dimension, and stability throughirrelevantproximal change. Standard characterizations of constancy fall short in one or more of these respects. I develop an account (...) of constancy that overcomes these problems. The account has two parts: an analysis of constancy mechanisms, and an analysis of the conditions under which a constancy capacity is exercised. I then employ this account to evaluate whether constancy is a necessary condition for perceptual representation, as some have conjectured. I argue that explanatory practice in perceptual psychology fails to support this view. Rather, it fits better with the weaker principle that representation requires specific tracking of a distal dimension. (shrink)

I reply to seven commentaries on “The Virtual and the Real”. In response to Claus Beisbart, Jesper Juul, Peter Ludlow, and Neil McDonnell and Nathan Wildman, I clarify and develop my view that virtual are digital objects, with special attention to the nature of digital objects and data structures. In response to Alyssa Ney and Eric Schwitzgebel, I clarify and defend my spatial functionalism, with special attention to the connections between space and consciousness. In response to Marc Silcox, I clarify (...) and develop my view of the value of virtual worlds, with special attention to the case where we experience these worlds as virtual. (shrink)

Perception solves computationally demanding problems at lightning fast speed. It recovers sophisticated representations of the world from degraded inputs, often in a matter of milliseconds. Any theory of perception must be able to explain how this is possible; in other words, it must be able to explain perception’s computational tractability. One of the few attempts to move toward such an explanation is the information encapsulation hypothesis, which posits that perception can be fast because it keeps computational costs low by forgoing (...) access to information stored in cognition. I argue that we have no compelling reason to believe that encapsulation explains (or even contributes to an explanation of) perceptual tractability, and much reason to doubt it. This is because there exist much deeper computational challenges for perception than information access, and these threaten to make the costs of access irrelevant. If this is right, it undermines a core computational motivation for encapsulation and sends us back to the drawing board for explanations of perceptual tractability. (shrink)

William Lycan is a notable early proponent of representationalism, which is, roughly, the view that a mental state's phenomenal features are nothing over and above its representational features (perhaps in addition to some further ingredients). Representationalism faces a challenge in accounting for perspectival experiences, which are, roughly, experiences that arise from our occupying a particular real or perceived perspective on the world. This paper presents representationalism, situating Lycan's version of representationalism within the representationalist landscape, and describes the challenge from perspectival (...) experiences. It considers three different representationalist treatments of perspectival experiences: the Layered View, which is developed by Lycan; the Relational Properties View, which Lycan eventually comes to endorse; and the Naive View, which, I will argue, combines elements from both views to achieve the best overall view. (shrink)