‘Naturalizing phenomenology’ by limiting it to the ontology of the sciences is problematic on both metaphysical and phenomenological grounds. While most assessments of the prospects for a ‘naturalized phenomenology’ have focused on approaches based in Husserlian transcendental phenomenology, problems also arise for non-reductive approaches based in Heideggerian existential phenomenology. ‘Heideggerian cognitive science’ faces a dilemma. On the one hand, if it is directly concerned with the nature of subjectivity, and this subjectivity is assumed to be ontologically irreducible to its physical (...) enablers yet still metaphysically dependent on them, then Heideggerian cognitive science will either leave that metaphysical dependence an unexplained instance of supervenience, or ground it in speculation about brute metaphysical laws that have an unclear relationship to the ontology of the sciences. On the other hand, if Heideggerian cognitive science is not directly concerned with the nature of subjectivity, but is instead merely aimed at the development of a Heideggerian phenomenological psychology, then it doesn’t fully address the ontological implications of phenomenology’s transcendental approach, and so, while it might succeed in explaining the realization of psychological phenomena scientifically, the existence of subjectivity will remain inexplicable based on the ontology of the sciences. Neither strategy succeeds in ‘naturalizing phenomenology’: either rejects scientific naturalism, or makes its requirements trivial, while either rejects the transcendental dimension of phenomenology, or fails to address its ontological implications. (shrink)

This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be described as computational phenomenology because it applies methods originally developed in computational modelling to provide a formal model of the descriptions of lived experience in the phenomenological tradition of philosophy. The first section presents a brief review of the overall project to naturalize phenomenology. The second section presents and evaluates philosophical objections to that project and situates our version (...) of computational phenomenology with respect to these projects. The third section reviews the generative modelling framework. The final section presents our approach in detail. We conclude by discussing how our approach differs from previous attempts to use generative modelling to help understand consciousness. In summary, we describe a version of computational phenomenology which uses generative modelling to construct a computational model of the inferential or interpretive processes that best explain this or that kind of lived experience. (shrink)

Since the end of the last century, there has been several ambitious attempts to naturalize Husserlian phenomenology by way of mathematization. To justify themselves in view of Husserl’s adamant antinaturalism, many of these attempts appeal to the new physico-mathematical tools that were unknown in Husserl’s time and thus allegedly make his position outdated. This paper critically addresses these mathematization proposals and aims to show that Husserl had, in fact, sufficiently good arguments that make his antinaturalistic position sound even today. The (...) starting point of the discussion presented in this paper is the mathematization project introduced by Jean-Michel Roy, Jean Petitot, Bernard Pachoud, and Francisco Varela in their introduction to the book Naturalizing Phenomenology. This proposal was followed by a number of critiques but also by several alternative naturalization attempts clearly inspired by Roy et al.’s ambitious project. The review of some of Husserl’s important arguments often overlooked or misinterpreted by both the naturalization advocates and their critics leads the author of the paper to the twofold conclusion which, on the one hand, explores the deeper reasons for the impossibility of a physical and mathematical treatment of phenomenology, on the other hand, clarifies the sense in which such treatments are possible, namely by way of restriction of the variety of experiential aspects that undergo naturalization and substitution of the aspects amenable to the direct mathematization for the directly unmathematizable ones. In the fourth section of this paper, the author attempts to demonstrate that, contrary to widespread belief, Husserl’s arguments are not obsolete by the standards of the contemporary physico-mathematical approaches employed in the mathematization of phenomenology and indeed stand the test of time. (shrink)

There has been much recent discussion of whether Husserlian phenomenology might be relevant to the explanatory gap—the problem of explaining how conscious experience arises from nonexperiential events or processes. However, some phenomenologists have argued that the explanatory gap is a confused problem, because it starts by assuming a false distinction between the subjective and the objective. Rather than trying to solve this problem, they claim that phenomenology should dissolve it by undermining the distinction upon which it is based. I shall (...) argue that adopting a phenomenological approach does not provide reason to think that the explanatory gap is not a genuine problem. In assessing the assumptions underlying the gap, we must distinguish between objectivity understood as a stance we can take toward the world and objectivity as the world's having a structure independent of any experience. The explanatory gap can be understood as the problem of finding a place for consciousness in this objective structure. This does not force us to take an objective stance or reduce the methods of phenomenology to those of the natural sciences. (shrink)

Approaches to the naturalization of phenomenology usually understand naturalization as a matter of rendering continuous the methods, epistemologies, and ontologies of phenomenological and natural scientific inquiry. Presupposed in this statement of the problematic, however, is that there is an original discontinuity, a rupture between phenomenology and the natural sciences that must be remedied. I propose that this way of thinking about the issue is rooted in a simplistic understanding of the phenomenological reduction that entails certain assumptions about the subject matter (...) of phenomenology and its relationship to the natural sciences. By contrast, Merleau‐Ponty's first work, The Structure of Behavior, presents a radically different approach to the phenomenological reduction, one that traverses the natural sciences and integrates them into phenomenology from the outset. I outline the argument for this position in The Structure of Behavior and then discuss consequences for current methodological issues surrounding the naturalization of phenomenology, focusing on the relationship between empirical sciences of mind, phenomenological psychology, and transcendental phenomenology. This novel exegesis of Merleau‐Ponty's view on the reduction offers new insight into his oft‐quoted remark that the phenomenological reduction is impossible to complete. (shrink)

In spite of the relevance of a scientific representation of the world for naturalism, it is surprising that philosophy of science is less involved in the debate on naturalism than expected. Had the viewpoint of philosophy of science been duly considered, naturalism could not have overlooked the established lesson, according to which there is no well-defined recipe for what science must or must not be. In the present paper I address some implications of this lesson for naturalism, arguing that a (...) radically naturalistic outlook fails to pay sufficient attention to some of the main lessons that philosophy of science has taught us concerning the nature of scientific theories. One of these lessons is that real scientific theories are far more normative than ordinary scientific naturalism is ready to accept, a circumstance that at a minimum is bound to force most naturalization strategies to re-define their significance. (shrink)