Predictive processing is an increasingly popular explanatory framework developed within cognitive neuroscience. It conceives of the brain as a prediction machine that tries to minimise prediction error. Predictive processing has also been employed to explain aspects of conscious experience. In this paper, I critically evaluate current predictive processing approaches to the phenomenology of time-consciousness from a Husserlian perspective. To do so, I introduce the notion of orthodox predictive processing to refer to interpretations of the predictive processing framework that subscribe to (...) representational views of cognition. As it turns out, current predictive processing accounts of time-consciousness are orthodox given their commitment to representational views of both brain functioning and perception, and, on the other hand, their reliance on the primacy of imagination over perception. However, I argue that such accounts are in fact closer to a Kantian-Brentanian approach to the phenomenology of time-consciousness than to the Husserlian account that they attempt to account for. (shrink)

This dissertation argues that cognition is a kind of natural agency. Natural agency is the capacity that certain systems have to act in accordance with their own norms. Natural agents are systems that bias their repertoires in response to affordances in the pursuit of their goals. Cognition is a special mode of this general phenomenon. Cognitive systems are agents that have the additional capacity to actively take their worlds to be certain ways, regardless of whether the world is really that (...) way. In this way, cognitive systems are desituated. Desituatedness is the root of specifically cognitive capacities for representation and abstraction. There are two main reasons why this view needs defending. First, natural agency is typically viewed as incompatible with natural science because it is committed to a teleological mode of explanation. Second, cognition is typically held to be categorically distinct from natural agency. This dissertation argues against both of these views. It argues against the incompatibility of agency and natural science by demonstrating that systems biology, general systems theory, and sciences that deal with complex systems have typically underappreciated conceptual and theoretical resources for grounding agency in the causal structure of the world. These conceptual resources do not, however, reduce agency to systems theory because the normativity inherent in agency demands descriptive resources beyond those of even the most sophisticated systems theory. It argues against the categorical difference between natural agency and cognition by pointing out that separating cognition from a richer web of situated, ecologically embedded relations between the agent and the world generates the frame problem, which is an insuperable obstacle to making cognition that is sufficiently responsive to the complexity of the world. Rooting cognition in natural agency is a more robust empirical bet for theorizing cognition and artificial intelligence. (shrink)

In the article I discuss functionalist interpretations of Husserlian phenomenology. The first one was coined in the discussion between Hubert Dreyfus and Ronald McIntyre. They argue that Husserl’s phenomenology shares similarities with computational functionalism, and the key similarity is between the concept of noema and the concept of mental representation. I show the weaknesses of that reading and argue that there is another available functionalist reading of Husserlian phenomenology. I propose to shift perspective and approach the relation between phenomenology and (...) functionalism from a methodological perspective, specifically taking into account the functionalist explanatory strategy called functional analysis. I discuss the notion of function in Husserl’s works and Husserl’s idea of functional phenomenology. The key argument I develop is that in functional phenomenology we can find an explanatory strategy which is analogous to the strategy of functional decomposition used in functional analysis. I conclude that the proposed functionalist reading of phenomenology opens a new approach to the integration of phenomenology with cognitive sciences. (shrink)

I argue that Sellars’s distinction between signifying and picturing should be taken seriously by philosophers of mind, language, and cognition. I begin with interpretations of key Sellarsian texts in order to show that picturing is best understood as a theory of non-linguistic cognitive representations through which animals navigate their environments. This is distinct from the kind of discursive cognition that Sellars called ‘signifying’ and which is best understood in terms of socio-linguistic inferences. I argue that picturing is required because reflection (...) on signifying cannot adequately explain our need for cognitive friction. I then show how the idea of picturing is further developed by Paul Churchland, Ruth Garrett Millikan, and Huw Price. I finally turn to predictive processing as a theory of cognitive representation, and in particular Andy Clark’s ‘radical predictive processing’, to further characterize picturing. However, doing so has the cost of pushing picturing and signifying further apart than Sellars intended. (shrink)

In recent publications, Jay Garfield and Anil Seth have both written about the you. Whereas Garfield is a Buddhist scholar who advocates a no-self view, Seth is a neuroscientist who defends a radical form of representationalism. But is it really possible to speak meaningfully of a you (and of a we) if one denies the existence of the self, and if one declares the world of experience a neuronal fantasy? In the following, I will criticize both accounts. I will argue (...) that they both, in different ways, are unable to deal with a real other, and, drawing on the work of Husserl, I will argue that a proper understanding of the you doesn't merely require accepting the reality of the self, but also the existence of a shared lifeworld. (shrink)

Recent developments in contemporary natural science (including the evolutionary study of perception, cognitive science, and interpretations of quantum physics) incorporate central idealist positions relating to the nature of representation, the role our minds play in structuring our experience of the world, and the properties of the world behind our representations. This paper first describes what these positions are, and how they are introduced in the relevant theories in terms of precisely formulated scientific analogues. I subsequently consider how this way of (...) looking at philosophical idealism through selected parts of contemporary science can help us to pursue new ways of developing key idealist questions in a way that is integrated with a naturalistically supported endeavour to understand central features of reality. (shrink)

The passage of time pertains to the dynamic happening of anticipated future events merging into a present actuality and subsequently becoming the past. Philosophers and scientists alike often endorse the view that the passage of time is an illusion. Here we instead account for the phenomenology of time passage as a real psycho-biological phenomenon. We argue that the experience of time passage has a real and measurable basis as it arises from an internal generative model for anticipating upcoming events. The (...) experience of passage is not merely a representation by a passive recipient of sensory stimulation but is generated by predictive processes of the brain and proactive sensorimotor activity of the whole body. Although some philosophical approaches to time consider some psycho-biological evidence, the biological basis of the passage of time has not been examined in detail from a thorough scientific perspective. This paper proposes to remedy this omission. (shrink)

The paper attempts to show that Predictive Processing (PP), despite recent attempts by its proponents to ward off accusations that lead to skepticism (Clark, A. (2016). _Surfing uncertainty: prediction, action and the embodied mind_. Oxford University Press, Clark, A. (2019). Replies to critics: In search of the embodied, extended, enactive predictive (EEE-P) mind. In M. Colombo, E. Irvine, & M. Stapleton (Eds.), _Andy Clark and his critics_ (pp. 266–302). Oxford University Press), is susceptible to undesirable skeptical consequences of a Kantian (...) (rather than Cartesian) character. Specifically, I shall argue that Clark’s version of PP is susceptible to a particularly Kantian version of skepticism in which the external world directly revealed by PP generative models is a _phenomenal_ one in the Kantian sense: A world perceived and conceived _as_ external, but at the same time essentially ‘internal’ in its categorial form, where this ‘internality’ only diverges from Kant in that it is a consequence of evolution. It will be suggested that these skeptical consequences can be avoided by articulating a more nuanced notion of the boundary between mind and world in PP, namely, one that differentiates an _ontological_ from an _epistemological_ understanding of the boundary between mind (generative model) and world. Moreover, it will be argued that in order to avoid Kantian skepticism, we must construe the very distinction between the phenomenal world and the world as it is in itself in non-metaphysical, pragmatic terms, as a framework condition for epistemically coordinating empirical inquiry within an ever-changing and unpredictable world. As a bonus, this view seems capable of accommodating the insights of autopoietic enactivism without buying into the latter’s controversial ‘transcendental idealist’ organism-relative ontology. (shrink)

The kind of collective improvisation attained by the “free jazz” at the beginning of the sixties sets a challenge to analytic theories of collective intentionality, that emphasize the role played by future-directed plans in the interlocking and interdependent intentions of the individual participants, because in the free jazz case the performers’ interdependence or [interplay] stems from an intuitive understanding between musicians. Otherwise said: what happens musically is not planned in advance, but arises from spontaneous interactions in the group. By looking (...) at the way jazz improvisers take up the challenge of making music together without a pre-conceived notion as to what kind of effect they will achieve and without a pre-set code of agreements, my aim has been to clarify what kind of strategies — other than advanced action plans and joint commitments — are used by improvising musicians to integrate their improvisations into a unified shared activity. In developing this proposal I initially drawn pre-theoretically on one paradigmatic study case — Ornette Coleman’s double quartet Free Jazz, A collective Improvisation and brought it in conversation with Husserl’s phenomenology of time. In a final move, I brought this phenomenological frame into dialogue with some recent readings of the predictive coding model. All in all, what we learned from the Free Jazz case is that the interdependence and interlocking of attitudes among individual participants characteristic of shared intention is not determined by a future-directed plan and the rational pressure to be responsive to and coordinate with others, it typically engages. Rather, in the free jazz case, the performers’ connection and interplay depend on the players’ readiness to feel each other out, by listening to each other playing, in a way that no doubt presupposes the Husserlian retention-protention scheme. (shrink)

We propose a non-representationalist framework for deep learning relying on a novel method computational phenomenology, a dialogue between the first-person perspective (relying on phenomenology) and the mechanisms of computational models. We thereby propose an alternative to the modern cognitivist interpretation of deep learning, according to which artificial neural networks encode representations of external entities. This interpretation mainly relies on neuro-representationalism, a position that combines a strong ontological commitment towards scientific theoretical entities and the idea that the brain operates on symbolic (...) representations of these entities. We proceed as follows: after offering a review of cognitivism and neuro-representationalism in the field of deep learning, we first elaborate a phenomenological critique of these positions; we then sketch out computational phenomenology and distinguish it from existing alternatives; finally we apply this new method to deep learning models trained on specific tasks, in order to formulate a conceptual framework of deep-learning, that allows one to think of artificial neural networks’ mechanisms in terms of lived experience. (shrink)

Despite the gaining popularity of non-representationalist approaches to cognition, it is still a widespread assumption in contemporary cognitive science that the explanatory reach of representation-eschewing approaches is substantially limited. Nowadays, many working in the field accept that we do not need to invoke internal representations for the explanation of online forms of cognition. However, when it comes to explaining higher, offline forms of cognition, it is widely believed that we must fall back on internal-representation-invoking theories. In this paper, I want (...) to argue that, contrary to popular belief, we don’t yet have any compelling reason for assuming that non-representationalist theories are, as a matter of necessity, limited in scope. I will show that Clark and Toribio’s influential argument in terms of ‘representation-hungry’ cognition is, for various reasons, flawed. On closer inspection, we’ll see that the argument from representation-hunger is, on the one hand, built on an inconsistent notion of representation and, on the other hand, on a conflation of the explanandum with the explanans. I will suggest that, on closer inspection, the ARH seems to be getting its appeal mainly from the unscientific principle that “like causes like”. (shrink)