Thomas Metzinger

We decided to use our editors’ introduction to briefly address a difficult, somewhat deeper, and in some ways more classical problem: that of what genuine open mindedness really is and how it can contribute to the Mind Sciences. The material in the collection speaks for itself. Here, and in contrast to the vast collection that is Open MIND, we want to be concise. We want to point to the broader context of a particular way of thinking about the mind. And we want to propose an account of what open mindedness could mean in the context of the contemporary, interdisciplinary Mind Sciences. This variant of open mindedness is characterized by epistemic humility, intellectual honesty, and a new culture of charity. It also has a pragmatic dimension: open mindedness of this kind is research generating and fosters an environment of sincere and constructive interdisciplinary collaboration. And it is profoundly inspired by the classical ideals of philosophy as a pursuit of genuine insight and rational inquiry, the importance of a critical and in a certain sense non-judgmental attitude, and the deep relationship between wisdom and skepticism as an epistemic practice. Finally, and again very classically, open mindedness has an ethical dimension as well: it implies sensitivity to normative issues, including issues of an anthropological, sociocultural, and political kind. By bringing these different strands of ideas together and creating a bigger (and admittedly still sketchy) picture of what “open mindedness” might mean in the interdisciplinary Mind Sciences, we hope to start a conversation about how an open-minded attitude and a charitable culture of collaboration can be cultivated in the future. This is very much intended as an invitation to further think about and develop this topic. We hope our readers will join us in this endeavor. DOI: 10.15502/9783958571044 URL: http://dx.doi.org/10.15502/9783958571044 ISBN: 9783958571044

In synesthesia, a certain stimulus (eg grapheme) is associated automatically and consistently with a stable perceptual-like experience (eg color). These associations are acquired in early childhood and remain robust throughout the lifetime. Synesthetic associations can transfer to novel inducers in adulthood as one learns a second language that uses another writing system. However, it is not known how long this transfer takes. We found that grapheme-color associations can transfer to novel graphemes after only a 10-minute writing exercise. Most subjects experienced synesthetic associations immediately after learning a new Glagolitic grapheme. Using a Stroop task, we provide objective evidence for the creation of novel associations between the newly learned graphemes and synesthetic colors. Also, these associations generalized to graphemes handwritten by another person. The fast learning process and the generalization suggest that synesthesia begins at the semantic level of representation with the activation of a certain concept (the inducer), which then, uniquely for the synesthetes, activates representations at the perceptual level (the concurrent). Thus, the results imply that synesthesia is a much more flexible and plastic phenomenon than has been believed until now.

This is the first in a series of instalments aiming at a minimal model explanation for conscious experience, taking the phenomenal character of “pure consciousness” or “pure awareness” in meditation as its entry point. It develops the concept of “minimal phenomenal experience” as a candidate for the simplest form of consciousness, substantiating it by extracting six semantic constraints from the existing literature and using sixteen phenomenological case-studies to incrementally flesh out the new working concept. One empirical hypothesis is that the phenomenological prototype of “pure awareness”, to which all such reports refer, really is the content of a predictive model, namely, a Bayesian representation of tonic alertness. On a more abstract conceptual level, it can be described as a model of an unpartitioned epistemic space.

Before one can even begin to model consciousness and what exactly it means that it is a subjective phenomenon one needs a theory about what a first-person perspective really is. This theory has to be conceptually convincing, empirically plausible and, most of all, open to new developments. The chosen conceptual framework must be able to accommodate scientific progress. Its ba- sic assumptions have to be plastic as it were, so that new details and empirical data can continuously be fed into the theoretical model as it grows and becomes more refined. This paper makes an attempt at sketching the outlines of such a theory, offering a representationalist analysis of the phenomenal first-person perspective. Three phenomenal target properties are centrally relevant

The contributions to this book are original articles, representing a cross-section of current philosophical work on consciousness and thereby allowing students and readers from other disciplines to acquaint themselves with the very latest debate, so that they can then pursue their own research interests more effectively. The volume includes a bibliography on consciousness in philosophy, cognitive science and brain research, covering the last 25 years and consisting of over 1000 entries in 18 thematic sections, compiled by David Chalmers and Thomas Metzinger

The goal of this article is to present a first list of ethical concerns that may arise from research and personal use of virtual reality (VR) and related technology, and to offer concrete recommendations for minimizing those risks. Many of the recommendations call for focused research initiatives. In the first part of the article, we discuss the relevant evidence from psychology that motivates our concerns. In Section “Plasticity in the Human Mind,” we cover some of the main results suggesting that one’s environment can influence one’s psychological states, as well as recent work on inducing illusions of embodiment. Then, in Section “Illusions of Embodiment and Their Lasting Effect,” we go on to discuss recent evidence indicating that immersion in VR can have psychological effects that last after leaving the virtual environment. In the second part of the article, we turn to the risks and recommendations. We begin, in Section “The Research Ethics of VR,” with the research ethics of VR, covering six main topics: the limits of experimental environments, informed consent, clinical risks, dual-use, online research, and a general point about the limitations of a code of conduct for research. Then, in Section “Risks for Individuals and Society,” we turn to the risks of VR for the general public, covering four main topics: long-term immersion, neglect of the social and physical environment, risky content, and privacy. We offer concrete recommendations for each of these 10 topics, summarized in Table 1.

The goal of this short chapter, aimed at philosophers, is to provide an overview and brief explanation of some central concepts involved in predictive processing (PP). Even those who consider themselves experts on the topic may find it helpful to see how the central terms are used in this collection. To keep things simple, we will first informally define a set of features important to predictive processing, supplemented by some short explanations and an alphabetic glossary. The features described here are not shared in all PP accounts. Some may not be necessary for an individual model; others may be contested. Indeed, not even all authors of this collection will accept all of them. To make this transparent, we have encouraged contributors to indicate briefly which of the features are necessary to support the arguments they provide, and which (if any) are incompatible with their account. For the sake of clarity, we provide the complete list here, very roughly ordered by how central we take them to be for “Vanilla PP” (i.e., a formulation of predictive processing that will probably be accepted by most researchers working on this topic). More detailed explanations will be given below. Note that these features do not specify individually necessary and jointly sufficient conditions for the application of the concept of “predictive processing”. All we currently have is a semantic cluster, with perhaps some overlapping sets of jointly sufficient criteria. The framework is still developing, and it is difficult, maybe impossible, to provide theory-neutral explanations of all PP ideas without already introducing strong background assumptions.

In mental action there is no motor output to be controlled and no sensory input vector that could be manipulated by bodily movement. It is therefore unclear whether this specific target phenomenon can be accommodated under the predictive processing framework at all, or if the concept of “active inference” can be adapted to this highly relevant explanatory domain. This contribution puts the phenomenon of mental action into explicit focus by introducing a set of novel conceptual instruments and developing a first positive model, concentrating on epistemic mental actions and epistemic self-control. Action initiation is a functionally adequate form of self-deception; mental actions are a specific form of predictive control of effective connectivity, accompanied and possibly even functionally mediated by a conscious “epistemic agent model”. The overall process is aimed at increasing the epistemic value of pre-existing states in the conscious self-model, without causally looping through sensory sheets or using the non-neural body as an instrument for active inference.