In this paper, I argue for an often-neglected solution to the conceivability argument: the reconciliatory response. Its advocates state that, even if zombies are metaphysically possible, it does not follow that all versions of physicalism are false. To make the reconciliatory response, we must construct a theory that counts as a version of physicalism (because it makes higher-level facts count as physical) but also allows for the metaphysical possibility of zombies. Call any physicalist theory that can make the reconciliatory response (...) type-R physicalism. In this paper, I discuss one version of type-R physicalism: stochastic ground physicalism (SGP). First, I argue that type-R physicalism, construed as SGP, offers physicalists an attractive rationalist package that no other version of physicalism can provide. Second, I address two concerns that have been underexplored in the literature. First, the charge that SGP is incoherent because it fails to provide metaphysical explanations. Second, the charge that type-R physicalism is not a genuine form of physicalism because the supervenience of the phenomenal on the physical is a necessary condition for any formulation of physicalism. I argue that both concerns are ill-founded. (shrink)

Some have thought that the plausibility of teleosemantics requires that it yield a determinate answer to the question of what the semantic “content” is of the “representation” triggered in the optic nerve of a frog that spots a fly. An outsize literature has resulted in which, unfortunately, a number of serious confusions and omissions that concern the way teleosemantics would have to work have appeared and been passed on uncorrected leaving a distorted and simplistic picture of the teleosemantic position. I (...) will speak to a half dozen of the worst of these misunderstandings and then say just a word about the frog question itself. (shrink)

Teleosemantics has an indeterminacy problem. In an earlier publication, I argued that teleosemanticists may afford to be realists about indeterminacy, pointing to the phenomenon of vagueness as a case of really-existing semantic indeterminacy. Here, I continue that project by proposing two criteria of adequacy that a semantically indeterminate theory should meet: a criterion of theoretical adequacy and a criterion of extensional adequacy. I present reasons to think that indeterminate versions of teleosemantics can meet these criteria. I end by discussing vagueness, (...) concluding that it most likely is not the same kind of phenomenon as the semantic indeterminacy afflicting teleosemantics. (shrink)

Teleosemantics has an indeterminacy problem. In an earlier publication, I argued that teleosemanticists may afford to be realists about indeterminacy, pointing to the phenomenon of vagueness as a case of really‐existing semantic indeterminacy. Here, I continue that project by proposing two criteria of adequacy that a semantically indeterminate theory should meet: a criterion of theoretical adequacy and a criterion of extensional adequacy. I present reasons to think that indeterminate versions of teleosemantics can meet these criteria. I end by discussing vagueness, (...) concluding that it most likely is not the same kind of phenomenon as the semantic indeterminacy afflicting teleosemantics. (shrink)

This dissertation focuses on generative models in the Predictive Processing framework. It is commonly accepted that generative models are structural representations; i.e. physical particulars representing via structural similarity. Here, I argue this widespread account is wrong: when closely scrutinized, generative models appear to be non-representational control structures realizing an agent’s sensorimotor skills. The dissertation opens (Ch.1) introducing the Predictive Processing account of perception and action, and presenting some of its connectionist implementations, thereby clarifying the role generative models play in Predictive (...) Processing. Subsequently, I introduce the conceptual framework guiding the research (ch.2). I briefly elucidate the metaphysics of representations, emphasizing the specific functional role played by representational vehicles within the systems of which they are part. I close the first half of the dissertation (Ch.3) introducing the claim that generative models are structural representations, and defending it from intuitive but inconclusive objections. I then move to the second half of the dissertation, switching from exposition to criticism. First (Ch.4), I claim that the argument allegedly establishing that generative models are structural representations is flawed beyond repair, for it fails to establish generative models are structurally similar to their targets. I then consider alternative ways to establish that structural similarity, showing they all either fail or violate some other condition individuating structural representations. I further argue (Ch.5) that the claim that generative models are structural representations would not be warranted even if the desired structural similarity were established. For, even if generative models were to satisfy the relevant definition of structural representation, it would still be wrong to consider them as representations. This is because, as currently defined,structural representations fail to play the relevant functional role of representations, and thus cannot be rightfully identified as representations in the first place. This conclusion prompts a direct examination of generative models, to determine their nature (Ch.6). I thus analyze the simplest generative model I know of: a neural network functioning as a robotic “brain” and allowing different robotic creatures to swiftly and intelligently interact with their environments. I clarify how these networks allow the robots to acquire and exert the relevant sensorimotor abilities needed to solve the various cognitive tasks the robots are faced with, and then argue that neither the entire architecture nor any of its parts can possibly qualify as representational vehicles. In this way, the structures implementing generative models are revealed to be non-representational structures that instantiate an agent’s relevant sensorimotor skills. I show that my conclusion generalizes beyond the simple example I considered, arguing that adding computational ingredients to the architecture, or considering altogether different implementations of generative models, will in no way force a revision of my verdict. I further consider and allay a number of theoretical worries that it might generate, and then briefly conclude the dissertation. (shrink)