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 (e.g., the work of Edmund Husserl, Maurice Merleau-Ponty, etc.). 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)

Active inference offers a unified theory of perception, learning, and decision-making at computational and neural levels of description. In this article, we address the worry that active inference may be in tension with the belief–desire–intention model within folk psychology because it does not include terms for desires at the mathematical level of description. To resolve this concern, we first provide a brief review of the historical progression from predictive coding to active inference, enabling us to distinguish between active inference formulations (...) of motor control and active inference formulations of decision processes. We then show that, despite a superficial tension when viewed at the mathematical level of description, the active inference formalism contains terms that are readily identifiable as encoding both the objects of desire and the strength of desire at the psychological level of description. We demonstrate this with simple simulations of an active inference agent motivated to leave a dark room for different reasons. Despite their consistency, we further show how active inference may increase the granularity of folk-psychological descriptions by highlighting distinctions between drives to seek information versus reward—and how it may also offer more precise, quantitative folk-psychological predictions. Finally, we consider how the implicitly conative components of active inference may have partial analogues in other systems describable by the broader free energy principle to which it conforms. (shrink)

Scientists and laypeople alike use the sense of understanding that an explanation conveys as a cue to good or correct explanation. Although the occurrence of this sense or feeling of understanding is neither necessary nor sufficient for good explanation, it does drive judgments of the plausibility and, ultimately, the acceptability, of an explanation. This paper presents evidence that the sense of understanding is in part the routine consequence of two well-documented biases in cognitive psychology: overconfidence and hindsight. In light of (...) the prevalence of counterfeit understanding in the history of science, I argue that many forms of cognitive achievement do not involve a sense of understanding, and that only the truth or accuracy of an explanation make the sense of understanding a valid cue to genuine understanding. (shrink)

Philosophers agree that scientific explanations aim to produce understanding, and that good ones succeed in this aim. But few seriously consider what understanding is, or what the cues are when we have it. If it is a psychological state or process, describing its specific nature is the job of psychological theorizing. This article examines the role of understanding in scientific explanation. It warns that the seductive, phenomenological sense of understanding is often, but mistakenly, viewed as a cue of genuine understanding. (...) The article closes with a discussion of several new paths of research that tie the psychology of scientific explanation to cognate notions of learning, testimony, and understanding. (shrink)

Background and objectives Conscientious refusal of abortion has been discussed widely by medical ethicists but little information on practitioners' opinions exists. The American College of Obstetricians and Gynecologists (ACOG) issued recommendations about conscientious refusal. We used a vignette experiment to examine obstetrician-gynecologists' (OB/GYN) support for the recommendations. Design A national survey of OB/GYN physicians contained a vignette experiment in which an OB/GYN doctor refused a requested elective abortion. The vignette varied two issues recently addressed by the ACOG ethics committee—whether the (...) doctor referred and whether the doctor disclosed their objection to the abortion. Participants and setting 1800 OB/GYN randomly selected physicians were asked to complete a mail survey containing the vignette. The response rate was 66% (n=1154) after excluding 40 ineligible cases. Measurement Physicians indicated their approval for the vignette doctor's decision. Main results Overall, 43% of OB/GYN physicians responded that the conscientious refusal exercised by the vignette physician was appropriate. 70% rated the vignette doctor as acting appropriately when a referral was made. This dropped to 51% when the doctor disclosed objections to the patient, and to 12% when the doctor disclosed objections and refused to make a referral. Consistent with previous research, males were more likely to support disclosure and refusal to refer. Highly religious physicians supported non-referral but not disclosure. Conclusion OB/GYN physicians are less likely to support conscientious refusal of abortion if physicians disclose their objections to patients. This is at odds with ACOG recommendations and with some models of the doctor–patient relationship. (shrink)

There is now a considerable literature on Michel Foucault but this is the first monograph which explicitly addresses his influence and impact upon education. Personal autonomy has been seen as a major aim, if not the aim of liberal education. But if Foucault is correct that personal autonomy and the notion of the autonomous person are myths, then the pursuit of such an aim by educationalists is misguided. The author develops this critique of personal autonomy and liberal education from the (...) writings of Foucault, and also considers Foucault's own educational practices. The author, James Marshall, who lives in New Zealand, has already written several articles for academic journals on Foucault. (shrink)

This article provides an introduction to a special issue of Body & Society that explores the surveillance--embodiment nexus. It accentuates both the prevalence and consequence of bodies being increasingly converted into ‘objects of information’ by surveillance technologies and systems. We begin by regarding the normalcy of body monitoring in contemporary life, illustrating how a plurality of biometric scanners operate to intermediate the physical surfaces and subjective depths of bodies in accordance with various concerns. We focus on everyday experiences of bodily (...) intermediation by surveillant dispositifs, and consider the broader political, epistemological, and ontological significance of these processes. We then point to the substantive intersections and divergences existing between body and surveillance studies. We conclude with an overview of the five articles appearing in this special issue. We describe how each contribution creates a template for imagining what a body is, and what a body might become, in a culture defined by proliferating data sharing behaviours, systems of codification, and practices of intermediation. (shrink)

Scientific realism has been advanced as an interpretation of the natural sciences but never the behavioral sciences. This book introduces a novel version of scientific realism, Measured Realism, that characterizes the kind of theoretical progress in the social and psychological sciences that is uneven but indisputable. It proposes a theory of measurement, Population-Guided Estimation, that connects natural, psychological, and social scientific inquiry. Presenting quantitative methods in the behavioral sciences as at once successful and regulated by the world, the book will (...) engage philosophers of science, historians of science, sociologists of science, and scientists interested in the foundations of their own disciplines. Part I introduces measured realism beginning with a novel realist theory of measurement (Population-Guided Estimation, or PGE). It examines two other versions of scientific realism — minimal (Hacking) and robust (Boyd, Putnam, and Newton-Smith) — and advances measured realism as best supported by the evidence in the behavioral sciences. It also critically evaluates the anti-realist arguments of van Fraassen, Laudan, and Fine. Part II formulates and develops a version of epistemological naturalism most appropriate to measured realism. Drawing upon the realist theory of measurement developed earlier, it favorably appraises a variety of statistical methods in the behavioral sciences against selected criticisms. It concludes that traditional, narrative methods in the behavioral and social sciences are unreliable by the measures of epistemological naturalism. (shrink)

(2002). Philosophy of Science 72 (January), 198-208.