The goal of perception is to infer the most plausible source of sensory stimulation. Unisensory perception of temporal order, however, appears to require no inference, since the order of events can be uniquely determined from the order in which sensory signals arrive. Here we demonstrate a novel perceptual illusion that casts doubt on this intuition: in three studies (N=607) the experienced event timings are determined by causality in real-time. Adult observers viewed a simple three-item sequence ACB, which is typically remembered (...) as ABC (Bechlivanidis & Lagnado, 2016), in line with principles of causality. When asked to indicate the time at which events B and C occurred, points of subjective simultaneity shifted so that the assumed cause B appeared earlier and the assumed effect C later, despite full attention and repeated viewings. This first demonstration of causality reversing perceived temporal order cannot be explained by post-perceptual distortion, lapsed attention, or saccades. (shrink)

Vision is inseparably connected to perceptual awareness which can be seen as the culmination of sensory processing. Studies on conscious vision reveal that object recognition is just one of the means through which our representation of the world is built. We propose an operationalization of subjective experience in the context of deep neural networks (DNNs) that could encourage a more thorough comparison of human and artificial vision.

Glover offers an account for why some pictorial illusions influence early but not late phases of an action. His proposed corrective control process, however, functions normally in the absence of continuous visual information, suggesting that the stimulus is registered veridically prior to action onset. Here I consider an alternative account, based on differing informational constraints of behaviors (and phases of behaviors).

Ballard and Zhang offer a fascinating review of how computational models of human vision have evolved since David Marr proposed his Tri‐Level Hypothesis, with a focus on the refinement of algorithm descriptions over time.

Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision. This conclusion is largely based on three sets of findings: (1) DNNs are more accurate than any other model in classifying images taken from various datasets, (2) DNNs do the best job in predicting the pattern of human errors in classifying objects taken from various behavioral datasets, and (3) DNNs do the best job (...) in predicting brain signals in response to images taken from various brain datasets (e.g., single cell responses or fMRI data). However, these behavioral and brain datasets do not test hypotheses regarding what features are contributing to good predictions and we show that the predictions may be mediated by DNNs that share little overlap with biological vision. More problematically, we show that DNNs account for almost no results from psychological research. This contradicts the common claim that DNNs are good, let alone the best, models of human object recognition. We argue that theorists interested in developing biologically plausible models of human vision need to direct their attention to explaining psychological findings. More generally, theorists need to build models that explain the results of experiments that manipulate independent variables designed to test hypotheses rather than compete on making the best predictions. We conclude by briefly summarizing various promising modeling approaches that focus on psychological data. (shrink)

A common view in both philosophy and the vision sciences is that, in human vision, wavelength information is primarily ‘for’ colouring: for seeing surfaces and various media as having colours. In this article we examine this assumption of ‘colour-for-colouring’. To motivate the need for an alternative theory, we begin with three major puzzles from neurophysiology, puzzles that are not explained by the standard theory. We then ask about the role of wavelength information in vision writ large. (...) How might wavelength information be used by any monochromat or dichromat and, finally, by a trichromatic primate with object vision? We suggest that there is no single ‘advantage’ to trichromaticity but a multiplicity, only one of which is the ability to see surfaces and so on as having categorical colours. Instead, the human trichromatic retina exemplifies a scheme for a general encoding of wavelength information given the constraints imposed by high spatial resolution object vision. Chromatic vision, like its partner, luminance vision, is primarily for seeing. Viewed this way, the ‘puzzles’ presented at the outset make perfect sense. 1 Reframing the Problem1.1 Introduction1.2 Three puzzles1.2.1 Why is trichromatic vision an anomaly in diurnal mammals?1.2.2 Why does the colour system occupy such a large and central part in human vision?1.2.3 Why are the blue cones so rare?1.3 Recasting the question2 The Costs and Benefits of Spectral Vision2.1 Spectral information and object vision2.2 Encoding the spectral dimension of light2.2.1 ‘General’ versus ‘specific’ encoding2.2.2 Spectral encoding and the monochromat2.2.3 Spectral encoding and the dichromat2.2.4 Spectral encoding and the human trichromat2.3 Three puzzles revisited2.3.1 Why is trichromatic vision an anomaly in diurnal mammals?2.3.2 Why does the colour system occupy such a large and central part in human vision?2.3.3 Why are the blue cones so rare3 Conclusion. (shrink)

On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN–human correspondences should be evaluated, the value of alternative modelling approaches, and (...) impact of marketing hype in the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN–human correspondences in vision and other domains of cognition. We explore all these issues in this response. (shrink)

In the target article, Bowers et al. dispute deep artificial neural network (ANN) models as the currently leading models of human vision without producing alternatives. They eschew the use of public benchmarking platforms to compare vision models with the brain and behavior, and they advocate for a fragmented, phenomenon-specific modeling approach. These are unconstructive to scientific progress. We outline how the Brain-Score community is moving forward to add new model-to-human comparisons to its community-transparent suite of benchmarks.

Psychologically faithful deep neural networks (DNNs) could be constructed by training with psychophysics data. Moreover, conventional DNNs are mostly monocular vision based, whereas the human brain relies mainly on binocular vision. DNNs developed as smaller vision agent networks associated with fundamental and less intelligent visual activities, can be combined to simulate more intelligent visual activities done by the biological brain.

Since it is now broadly acknowledged that ethics should receive early consideration in discourse on emerging technologies, ethical debates tend to flourish even while new fields of technology are still in their infancy. Such debates often liberally mix existing applications with technologies in the pipeline and far-reaching visions. This paper analyses the problems associated with this use of ethics as “preparatory” research, taking discourse on human enhancement in general and on pharmaceutical cognitive enhancement in particular as an example. The (...) paper will outline and discuss the gap between the scientific and technological state of the art and the ethical debates, pointing out epistemic problems in this context. Furthermore, it will discuss the future role of genuine ethical reflection in discourse on human enhancement, arguing also that such discourse needs to include a technology assessment—in the broad sense of the term—which encompasses, inter alia, anthropological perspectives and aspects of social theory. (shrink)

Although discriminative deep neural networks are currently dominant in cognitive modeling, we suggest that capacity-limited, generative models are a promising avenue for future work. Generative models tend to learn both local and global features of stimuli and, when properly constrained, can learn componential representations and response biases found in people's behaviors.

This field review discusses several recently published books that are concerned with historical, cultural, philosophical, or sociological aspects of the social sciences and humanities, past and present. It investigates similarities and differences between the various perspectives and approaches, and analyzes how these are informed by different visions of the field of SSH studies. In concluding, the review discusses three recurrent themes that will presumably move in the focus of debate in the near future: the debate on positivism in SSH and (...) its “epistemological others;” the impact of the Cold War on the gestalt of the SSH; and, finally, the adequacy of science, technology, and society approaches to describe techniques and practices in the SSH. (shrink)

Western science has generally addressed human nature in its most negative aspects-the human potential for violence, the genetic and biochemical bases for selfishness, depression, and anxiety. In contrast, Tibetan Buddhism has long celebrated the human potential for compassion, and is dedicated to studying the scope, expression, and training of compassionate feeling and action. Science and Compassion examines how the views of Western behavioral science hold up to scrutiny by Tibetan Buddhists. Resulting from a meeting between the Dalai (...) Lama, leading Western scholars, and a group of Tibetan monks, the volume includes essays exploring points of difference and overlap between the two perspectives. Opening with the story of the extraordinary meeting in Dharamsala India, the book then takes the reader through the best of what Western behavioral scientific tradition has to say about altruism, ethics, empathy, and compassion-looking at how different elements of this science are challenged by cross-cultural examination. In a series of essays, the participating scientists and scholars ask not only how Tibetan and Western understandings of emotion differ, but how Western behavioral science might broaden and enrich its understanding of human nature to do justice to the study of human emotions. An essay by the Dalai Lama reveals his views on human nature, offering a useful exposition of the Buddhist point of view. Also included are direct excerpts from the dialogues themselves, which are filled with intellectual intensity, moments of convergence, and frequent humor. This extraordinary cross-cultural dialogue about our most essential natures will appeal to scientists, scholars, and the educated lay reader. (shrink)

This collection brings together fourteen contributions by authors from around the globe. Each of the contributions engages with questions about how local and global bioethical issues are made to be comparable, in the hope of redressing basic needs and demands for justice. These works demonstrate the significant conceptual contributions that can be made through feminists' attention to debates in a range of interrelated fields, especially as they formulate appropriate responses to developments in medical technology, global economics, population shifts, and poverty.

This collection brings together fourteen contributions by authors from around the globe. Each of the contributions engages with questions about how local and global bioethical issues are made to be comparable, in the hope of redressing basic needs and demands for justice. These works demonstrate the significant conceptual contributions that can be made through feminists' attention to debates in a range of interrelated fields, especially as they formulate appropriate responses to developments in medical technology, global economics, population shifts, and poverty.

Having enjoyed remarkable economic success, China’s natural environment is being increasingly degraded, and with it, the quality of life. Researchers and environmentalists have responded by...

Examines key narratives animating the techno-progressive rhetoric of the human enhancement movement, arguing that enhancement and transhumanist discourse performs distinctly mythic functions. They cast a vision of a technological future involving enhanced posthumans, immortality, human merger with machines and space colonization.

Humans have always imagined better futures. From the desire to overcome death to the aspiration to dominion over the world, imaginations of the technological future reveal the commitments, values, and norms of those who construct them. Today, the human future is thrown into question by emerging technologies that promise radical control over human life and elicit corollary imaginations of human perfectibility. This interdisciplinary volume assembles scholars of science and technology studies, sociology, philosophy, theology, ethics, and history to (...) examine imaginations of technological progress that promises to transcend the constraints of human body and being. Attending in particular to transhumanist and posthumanist visions, the volume breaks new ground by exploring their utopian and eschatological dimensions and situating them within a broader context of ideas, institutions, and practices of innovation. The volume invites specialists and general readers to explore the stakes of contemporary imaginations of technological innovation as a source of progress, a force of social and historical transformation, and as the defining essence of human life. Contents Technological Imaginations.- Ethics and Politics of Envisioned Futures.- The Transhumanist Imagination in Context. Target Groups Scholars and students in science and technology studies, philosophy, utopian studies, science and religion The Editors Hava Tirosh-Samuelson is Irving and Miriam Lowe Professor of Modern Judaism and Director of the Center of Jewish Studies at Arizona State University in Tempe, Arizona. J. Benjamin Hurlbut is Assistant Professor of Bioscience Ethics in the School of Life Sciences at Arizona State University. (shrink)

A social scientific survey on visions of human/nature relationships in western Europe shows that the public clearly distinguishes not only between anthropocentrism and ecocentrism, but also between two nonanthropocentric types of thought, which may be called “partnership with nature” and “participation in nature.” In addition, the respondents distinguish a form of human/nature relationship that is allied to traditional stewardship but has a more ecocentric content, labeled here as “guardianship of nature.” Further analysis shows that the general public does (...) not subscribe to an ethic of “mastery over nature.” Instead, practically all respondents embrace the image of guardianship, while the more radical relationships of partnership and participation also received significant levels of adherence. The results imply that ethicists should no longer assume that the ethics of the public are merely anthropocentric. Finally, they call into question the idea of a single form of ecocentrism and favor a hermeneutic virtue ethics approach to the study of the interface between ethics and action. (shrink)

As a global futurist, I believe that humanizing capitalism means to make it ‘people friendly’. Market fundamentalism has twisted capitalism from Adam Smith's mid-1700s vision of a truly free market to a system that has devolved into one that serves one master, short-term exploitation of people and the earth for the sole purpose of making profits for the few. This incredible economic system needs to be changed so it nurtures the human spirit, affirms life, and offers sustainable options (...) we can feel proud to pass on to our children and grandchildren. We must envision a world where people are engaged in a truly free marketplace, with truly fair competition, where people feel excited and nourished by their work, and where technology serves humanity. I make the case that people have the power to change this system so it serves humanity instead of the other way around. This is a call for transcendence. (shrink)

What is the most important reason for using Computer Vision methods in humanities research? In this article, I argue that the use of numerical representation and data analysis methods offers a new language for describing cultural artifacts, experiences and dynamics. The human languages such as English or Russian that developed rather recently in human evolution are not good at capturing analog properties of human sensorial and cultural experiences. These limitations become particularly worrying if we want to (...) compare thousands, millions or billions of artifacts—i.e. to study contemporary media and cultures at their new twenty-first century scale. When we instead use numerical measurements of image properties standard in Computer Vision, we can better capture details of a single artifact as well as visual differences between a number of artifacts–even if they are very small. The examples of visual dimensions that numbers can capture better then languages include color, shape, texture, contours, composition, and visual characteristics of represented faces, bodies and objects. The methods of finding structures and relationships in large numerical datasets developed in statistics and machine learning allow us to extend this analysis to very big datasets of cultural objects. Equally importantly, numerical image features used in Computer Vision also give us a new language to represent gradual and continuous temporal changes—something which natural languages are also bad at. This applies to both single artworks such as a film or a dance piece and also to changes in visual characteristics in millions of artifacts over decades or centuries. (shrink)

On its release, the Instruction on Respect for Human Life was accused of obstructing the technological enhancement of human life by using slippery slope arguments to impose the Magisterium’s opinion that accepting certain new technologies, like homologous artificial fertilization, would weaken resistance to practices the Church traditionally has opposed. To the contrary, the instruction calls attention to the fact that by using these technologies, we have in principle accepted all sorts of thigs, with or without technology, which are (...) destructive of human life. (shrink)

Human motion gesture recognition is the most challenging research direction in the field of computer vision, and it is widely used in human-computer interaction, intelligent monitoring, virtual reality, human behaviour analysis, and other fields. This paper proposes a new type of deep convolutional generation confrontation network to recognize human motion pose. This method uses a deep convolutional stacked hourglass network to accurately extract the location of key joint points on the image. The generation and identification (...) part of the network is designed to encode the first hierarchy and the second hierarchy and show the spatial relationship of human body parts. The generator and the discriminator are designed as two parts in the network, and they are connected together in order to encode the possible relationship of appearance and, at the same time, the possibility of the existence of human body parts and the relationship between each part of the body and its parental part coding. In the image, the key nodes of the human body model and the general body posture can be identified more accurately. The method has been tested on different data sets. In most cases, the results obtained by the proposed method are better than those of other comparison methods. (shrink)

Over the last 25 years, there has been a concerted effort to settle questions about multiple realization by bringing detailed scientific evidence to bear. Ken Aizawa and Carl Gillett have pursued this scientific approach to multiple realization with a precise theory and applications. This paper reviews the application of the Dimensioned approach to human color vision, addressing objections that have appeared in the literature.

The complex of modern sociological and religious studies approaches to the analysis of religious practices in post-sectarian societies makes it possible, among other things, to characterize their biographical aspects. First of all, it is about the ways and means of displaying the "Man of Faith" in the various reference journals, which are traditionally widely represented in secular literature, and have recently become increasingly popular among denominational publications and resources. The latter promotes both the "mature" of the domestic theological centers and (...) the more open intensive work of religious organizations. But the landmark change, which radically changed the state of affairs, setting new trends and putting forward fundamentally different goals, was the emergence of new information technologies and their adaptation and use to accumulate and disseminate information about beliefs and their leaders. The most important feature of these newest electronic resources in comparison with the traditional is their potential ability to objectively integrate the information accumulated previously by society in all its diversity, to organically absorb the inheritance of the manuscript and print culture of the past. (shrink)

This book examines how Western behavioral science--which has generally focused on negative aspects of human nature--holds up to cross-cultural scrutiny, in particular the Tibetan Buddhist celebration of the human potential for altruism, empathy, and compassion. Resulting from a meeting between the Dalai Lama, leading Western scholars, and a group of Tibetan monks, this volume includes excerpts from these extraordinary dialogues as well as engaging essays exploring points of difference and overlap between the two perspectives.

This paper seeks to rehabilitate the work of the Italian priest and social theorist Luigi Sturzo in regard to two areas of current concern: first, the interdependence of nation-states and the emergence of the international community; and, second, the notion of human personality as ground for these developments. In this latter regard, the paper draws on the work of the sociologist Christian Smith to show how an account of the person that transcends empiricist positivism can shed light on authentic (...) human development. Finally, the paper correlates this moral vision espoused by Sturzo and Smith with the work of some contemporary cosmopolitan democrats. (shrink)

Agroecological transitions aim at developing sustainable farming and food systems, adapted to local contexts. Such transitions require the engagement of local actors and the consideration of their knowledge and reasoning as a whole, which encompasses different natures of knowledge (empirical, scientific, local, generic), related to different dimensions (economic, environmental, technical, social, political), as well as their values and perceived uncertainties. While these transitions are often problematized in relation to technical issues, this article's objective is to start from the way the (...) local actors consider these transitions in order to see what issues are actually involved. In this study, we analyzed the reasoning of diverse farming actors, including farmers and farm advisors. We conducted 30 cognitive mapping interviews, during which the local actors drew cognitive maps to explicit their reasoning concerning their agroecological transition with an open approach. Their reasoning revealed an emphasis on the human & social dimension of the process of agroecological transitions: (i) human and social considerations come first in the transition process, while technical solutions are viewed as secondary, (ii) use and development of human capacities, social interactions and human well-being are crucial to the conduct of agroecological transitions, (iii) human-scale farming appears as a condition for the use of human capacities, human well-being and rural development, (iv) agroecological transitions imply farming advisory transitions, and (v) rural development appears as a condition for agroecological transitions, implying transitions in society as a whole. (shrink)