In “The Virtual and the Real,” David Chalmers argues that there is an epistemic and ontological parity between VR and ordinary reality. My argument here is that, whatever the plausibility of these claims, they provide no basis for supposing that there is a similar parity of value. Careful reflection upon certain aspects of the transition that individuals make from interacting with real-world, physical environments to interacting with VR provides a basis for thinking that, to the extent that there are good (...) reasons to deny the reality of virtual objects, there are also reasons to place a correspondingly higher value upon the experience of interacting with a VR environment. Chalmers’ assumption to the contrary arises from a subtle misrepresentation of how the phenomenon of cognitive penetration works in the perception of virtual objects, and from an unwillingness to acknowledge how our attitudes toward virtual environments are conditioned by the values we adopt when engaged in gameplay. (shrink)

The Razor commands us not to multiply entities without necessity. I argue for an alternative principle—The Laser—which commands us not to multiply fundamental entities without necessity.

I defend a how-possibly argument for Kantian (or Kant*-ian) transcendental idealism, drawing on concepts from David Chalmers, Nick Bostrom, and the cyberpunk subgenre of science fiction. If we are artificial intelligences living in a virtual reality instantiated on a giant computer, then the fundamental structure of reality might be very different than we suppose. Indeed, since computation does not require spatial properties, spatiality might not be a feature of things as they are in themselves but instead only the way that (...) things necessarily appear to us. It might seem unlikely that we are living in a virtual reality instantiated on a non-spatial computer. However, understanding this possibility can help us appreciate the merits of transcendental idealism in general, as well as transcendental idealism’s underappreciated skeptical consequences. (shrink)

According to phenomenal functionalism, whether some object or event has a given property is determined by the kinds of sensory experiences such objects or events typically cause in normal perceivers in normal viewing conditions. This paper challenges this position and, more specifically, David Chalmers’s use of it in arguing for what he calls virtual realism.

Are the objects and events that take place in Virtual Reality genuinely real? Those who answer this question in the affirmative are realists, and those who answer in the negative are irrealists. In this paper we argue against the realist position, as given by Chalmers (2017), and present our own preferred irrealist account of the virtual. We start by disambiguating two potential versions of the realist position—weak and strong— and then go on to argue that neither is plausible. We then (...) introduce a Waltonian variety of ictionalism about the virtual, arguing that this sort of irrealist approach avoids the problems of the realist positions, fits with a unifying theory of representational works, and offers a better account of the phenomenology of engaging in virtual experiences. (shrink)

David Chalmers argues that virtual objects exist in the form of data structures that have causal powers. I argue that there is a large class of virtual objects that are social objects and that do not depend upon data structures for their existence. I also argue that data structures are themselves fundamentally social objects. Thus, virtual objects are fundamentally social objects.

Rae Langton offers a new interpretation and defense of Kant's doctrine of things in themselves. Kant distinguishes things in themselves from phenomena, and in so doing he makes a metaphysical distinction between intrinsic and relational properties of substances. Langton argues that his claim that we have no knowledge of things in themselves is not idealism, but epistemic humility: we have no knowledge of the intrinsic properties of substances. This interpretation vindicates Kant's scientific realism, and shows his primary/secondary quality distinction to (...) be superior even to modern-day competitors. And it answers the famous charge that Kant's tale of things in themselves is one that makes itself untellable. (shrink)

Are virtual objects real? I will claim that the question sets us up for the wrong type of conclusion: Chalmers (2017) argues that a virtual calculator (like other entities) is a real calculator when it is “organizationally invariant” with its non-virtual counterpart—when it performs calculation. However, virtual reality and games are defined by the fact that they always selectively implement their source material. Even the most detailed virtual car will still have an infinite range of details which are missing (gas, (...) engines, pistons, fuel, chemical reactions, molecules, atoms). This means that even the most detailed virtual object will still have fictional aspects. Rather than argue that virtual objects are, or aren’t, real, it is preferable to think of overlaps and continuities between the fictional and the real, where even the most painstakingly detailed virtual reality implementation of a non-virtual object is still art: a human process of selection and interpretation. Virtual reality should therefore not be philosophically understood just as a technological implementation on a trajectory to perfection, but as a cultural artifact which derives its value in part from its simplification and difference from its source material. (shrink)

I argue that virtual reality is a sort of genuine reality. In particular, I argue for virtual digitalism, on which virtual objects are real digital objects, and against virtual fictionalism, on which virtual objects are fictional objects. I also argue that perception in virtual reality need not be illusory, and that life in virtual worlds can have roughly the same sort of value as life in non-virtual worlds.

To clarify the notion of computation and its role in cognitive science, we need an account of implementation, the nexus between abstract computations and physical systems. I provide such an account, based on the idea that a physical system implements a computation if the causal structure of the system mirrors the formal structure of the computation. The account is developed for the class of combinatorial-state automata, but is sufficiently general to cover all other discrete computational formalisms. The implementation relation is (...) non-vacuous, so that criticisms by Searle and others fail. This account of computation can be extended to justify the foundational role of computation in artificial intelligence and cognitive science. (shrink)

Hilary Putnam has argued that computational functionalism cannot serve as a foundation for the study of the mind, as every ordinary open physical system implements every finite-state automaton. I argue that Putnam's argument fails, but that it points out the need for a better understanding of the bridge between the theory of computation and the theory of physical systems: the relation of implementation. It also raises questions about the class of automata that can serve as a basis for understanding the (...) mind. I develop an account of implementation, linked to an appropriate class of automata, such that the requirement that a system implement a given automaton places a very strong constraint on the system. This clears the way for computation to play a central role in the analysis of mind. (shrink)

What is the status of a cat in a virtual reality environment? Is it a real object? Or part of a fiction? Virtual realism, as defended by D. J. Chalmers, takes it to be a virtual object that really exists, that has properties and is involved in real events. His preferred specification of virtual realism identifies the cat with a digital object. The project of this paper is to use a comparison between virtual reality environments and scientific computer simulations to (...) critically engage with Chalmers’s position. I first argue that, if it is sound, his virtual realism should also be applied to objects that figure in scientific computer simulations, e.g. to simulated galaxies. This leads to a slippery slope because it implies an unreasonable proliferation of digital objects. A philosophical analysis of scientific computer simulations suggests an alternative picture: The cat and the galaxies are parts of fictional models for which the computer provides model descriptions. This result motivates a deeper analysis of the way in which Chalmers builds up his realism. I argue that he buys realism too cheap. For instance, he does not really specify what virtual objects are supposed to be. As a result, rhetoric aside, his virtual realism isn’t far from a sort of fictionalism. (shrink)

Computation is central to the foundations of modern cognitive science, but its role is controversial. Questions about computation abound: What is it for a physical system to implement a computation? Is computation sufficient for thought? What is the role of computation in a theory of cognition? What is the relation between different sorts of computational theory, such as connectionism and symbolic computation? In this paper I develop a systematic framework that addresses all of these questions. Justifying the role of computation (...) requires analysis of implementation, the nexus between abstract computations and concrete physical systems. I give such an analysis, based on the idea that a system implements a computation if the causal structure of the system mirrors the formal structure of the computation. This account can be used to justify the central commitments of artificial intelligence and computational cognitive science: the thesis of computational sufficiency, which holds that the right kind of computational structure suffices for the possession of a mind, and the thesis of computational explanation, which holds that computation provides a general framework for the explanation of cognitive processes. The theses are consequences of the facts that computation can specify general patterns of causal organization, and mentality is an organizational invariant, rooted in such patterns. Along the way I answer various challenges to the computationalist position, such as those put forward by Searle. I close by advocating a kind of minimal computationalism, compatible with a very wide variety of empirical approaches to the mind. This allows computation to serve as a true foundation for cognitive science. (shrink)