Many methodologies for systematic study of lived experience have been proposed in recent decades. These methods are typically calibrated in terms of the depth and complexity of data collection, and whether they consider reports on pre-reflective experience admissible. Even though it has been shown that lived experience occurs at different timescales (elementary, integrative, narrative), contemporary methods tend to focus on momentary experience. We trace the focus on momentary experience to the current cultural milieu and attitudes in the history of psychology. (...) We point out the need for studying temporally extended experiences in the field of psychopathology. We propose that lived experiences at different timescales are nested within each other and that this principle can be used to organize data collected with qualitative methods for the study of experience. We suggest that temporally extended experiences occur at the narrative level of description (i.e. they consist of experiential reports and sense-making). (shrink)

Advancing our understanding of one of the most influential 20th-century philosophers, Robert Vinten brings together an international line up of scholars to consider the relevance of Ludwig Wittgenstein's ideas to the cognitive science of religion. Wittgenstein's claims ranged from the rejection of the idea that psychology is a 'young science' in comparison to physics to challenges to scientistic and intellectualist accounts of religion in the work of past anthropologists. Chapters explore whether these remarks about psychology and religion undermine the frameworks (...) and practices of cognitive scientists of religion. Employing philosophical tools as well as drawing on case studies, contributions not only illuminate psychological experiments, anthropological observations and neurophysical research relevant to understanding religious phenomena, they allow cognitive scientists to either heed or clarify their position in relation to Wittgenstein's objections. By developing and responding to his criticisms, Wittgenstein and the Cognitive Science of Religion offers novel perspectives on his philosophy in relation to religion, human nature, and the mind. Contents: Introduction (Robert Vinten); Ch.1: 'Wittgenstein, Concepts, and Human Nature' (Roger Trigg); Ch.2: 'On Truth, Language, and Objectivity' (Florian Franken Figueiredo); Ch.3 'Pascal Boyer's Miscellany of Homunculi: A Wittgensteinian Critique of Religion Explained' (Robert Vinten); Ch.4 'The Brain Perceives/Infers' (Hans van Eyghen); Ch.5 'The Imaginary Inner Inside Cognitive Science of Religion' (Christopher Hoyt); Ch.6 'Cognitive Theories and Wittgenstein: Looking for Convergence not for Divergence' (Olympia Panagiotidou); Ch. 7 'Wittgenstein, Naturalism, and Interpreting Religious Phenomena' (Thomas Carroll); Ch.8 'Natural Thoughts and Unnatural Oughts: Lessing, Wittgenstein, and Contemporary CSR' (Guy Axtell); Ch.9 'Normative Cognition in Cognitive Science of Religion' (Mark Addis); Ch.10 'Brains as the Source of Being: Mind/Brain Focus and the Western Model of Mind in Dominant Cognitive Science Discourse' (Rita McNamara); Ch.11 'On Religious Practices as Multiscale Active Inference: Certainties Emerging From Recurrent Interactions Within and Across Individuals and Groups' (Inês Hipólito and Casper Hesp). (shrink)

Self-evidencing describes the purported predictive processing of all self-organising systems, whether conscious or not. Self-evidencing in itself is therefore not sufficient for consciousness. Different systems may however be capable of self-evidencing in different, specific and distinct ways. Some of these ways of self-evidencing can be matched up with, and explain, several properties of consciousness. This carves out a distinction in nature between those systems that are conscious, as described by these properties, and those that are not. This approach throws new (...) light on phenomenology, and suggests that some self-evidencing may be characteristic of consciousness. (shrink)

The mainstream science of consciousness offers a few predominate views of how the brain gives rise to awareness. Chief among these are the Higher-Order Thought Theory, Global Neuronal Workspace Theory, Integrated Information Theory, and hybrids thereof. In parallel, rapid development in predictive processing approaches have begun to outline concrete mechanisms by which interoceptive inference shapes selfhood, affect, and exteroceptive perception. Here, we consider these new approaches in terms of what they might offer our empirical, phenomenological, and philosophical understanding of consciousness (...) and its neurobiological roots. (shrink)

Recently, the mechanistic framework of active inference has been put forward as a principled foundation to develop an overarching theory of consciousness which would help address conceptual disparities in the field (Wiese 2018 ; Hohwy and Seth 2020 ). For that promise to bear out, we argue that current proposals resting on the active inference scheme need refinement to become a process theory of consciousness. One way of improving a theory in mechanistic terms is to use formalisms such as computational (...) models that implement, attune and validate the conceptual notions put forward. Here, we examine how computational modelling approaches have been used to refine the theoretical proposals linking active inference and consciousness, with a focus on the extent and success to which they have been developed to accommodate different facets of consciousness and experimental paradigms, as well as how simulations and empirical data have been used to test and improve these computational models. While current attempts using this approach have shown promising results, we argue they remain preliminary in nature. To refine their predictive and structural validity, testing those models against empirical data is needed i.e., new and unobserved neural data. A remaining challenge for active inference to become a theory of consciousness is to generalize the model to accommodate the broad range of consciousness explananda; and in particular to account for the phenomenological aspects of experience. Notwithstanding these gaps, this approach has proven to be a valuable avenue for theory advancement and holds great potential for future research. (shrink)

It is easy to think of attention as a purely sensorimotor, exogenous mechanism divorced from the influence of an agent’s preferences and needs. However, according to the active inference framework, such a strict reduction cannot be straightforwardly invoked, since _all_ cognitive and behavioural processes can at least be described as maximising the evidence for a generative model entailed by the ongoing existence of that agent; that is, the minimisation of variational free energy. As such, active inference models could cast an (...) (embodied) cognitive mechanism like attention, described in this paper as a relevance filter, as constrained (or enslaved) by these prior preferences for which an agent must seek evidence, whether or not such priors are having direct, real-time neurocognitive effects on the sensorimotor loops that couple the attending agent and her surrounding environment. This duality with respect to the role of priors corresponds to a wider, ongoing debate in the active inference community regarding the framework’s explanatory power. More specifically, the debate centres on whether the notion of a generative model and the priors embedded ubiqitously therein act as a purely useful instrumental tool for scientists aiming to model the behaviours of self-organising entities, or, rather, the brain (and body) is genuinely constituted by a predictive hierarchy within which higher-order dynamics constrain and contextualise activity unfolding at lower levels. With a focus on the second (ontologically realist) construal of active inference presented here, this paper argues that in cognitive systems endowed with attentional schema, higher-order preferences do, indeed, impose a demonstrable and powerful modulating effect on the way attention unfolds. Furthermore, these preferences in question transcend the contingent, task-relevant goals that have already been shown to bias attention. Rather, attention is powerfully tuned by the most-deep rooted priors the agent possesses, such that, when sensory evidence against these priors is observed and free energy spikes, the agent attentionally prioritises the homeostatic restoration of these preferred states over their shorter-term desires. This suggests that, at its core, attention is a goal-driven process, which calls into question the putative dichotomy that exists between endogenous (goal-directed) attention and exogenous (stimulus-driven) attention. What emerges in its place is a symbiotic relationship between attention and preferences, whereby the fulfilment of the latter rests on successful application of the former, and the former derives its function from the organismic need to find evidence for the latter. (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)

When putting semiotics and phenomenology in juxtaposition, the first task necessarily is to find out what a study of meaning, conceiving of itself as an empirical science, has to do with a philosophical school, the business of which it is to secure the epistemological foundations of all the sciences (broadly understood). Our answer, in short (but we will go at some length to show it), is that since all results of phenomenology also count as contributions to phenomenological psychology, the phenomenological (...) method constitutes a part of the panoply of methods offered to semiotics. Our second task will be to review the fragmentary semiotics proposed, originally employing that term, by Edmund Husserl, to gauge its value for contemporary semiotics. Since our investigation of Husserl’s semiotics will demonstrate that it sometimes concerns the sign in a narrow sense, and sometimes broadens up to a study of meaning in general, our third and final task, in this paper, will be to consider a proposal made by a close follower of Husserl, Alfred Schütz, whose idea of a system of relevancies, wedded to Husserl’s notion of sedimentation, might be amended when considered in connection with Umberto Eco’s idea of the encyclopaedia. (shrink)

Understanding lone actor grievance-fueled violence remains a challenge. We believe that the concept of grievance provides an opportunity to add an engaged, first-person perspective to the assessment of lone actor extreme violence. We propose an enactivist philosophical approach that can help to understand the why and how of the pathway from grievance to violent extremism. Enactivism sees grievance as a dynamic, interpersonal, and context-sensitive construct that indicates how offenders make sense of the world they live in and how under certain (...) circumstances it fuels violent behavior. Hence, grievance should not be understood as a given thing, but as an unfolding experience that involves sense-making through interaction with the environment. This relational and ecological understanding requires another approach than looking at demographic factors or life histories, only from an outsider’s perspective. Enactivism invites us to look at such risk factors as external indices of an ongoing process of active self-regulation and sense-making, and in some cases spiraling toward extreme violence. To understand the mindset of the offender we need to look more in depth at the processes that shape this mindset: why does this person, with this history, in this context, and at this point in time, proceed to use violence? The enactivist approach to the mind offers a complementary framework that may help us to understand the dynamics of grievance as a possible precursor to violent extremism. It also helps to appreciate why the relative unpredictability of the pathway toward lone actor extreme violence is not necessarily a sign of empirical weakness but a matter of principle due to the non-linearity of the processes involved. We end by summarizing how enactivism could contribute to the prevention of extremist violence and research and how it can help to avoid reinforcing stigmas and re-establishing a confirmation bias. (shrink)