Are we paying enough attention? At least since the nineteenth century, critics have alleged a widespread and profound failure of attentiveness—to others, to ourselves, to the world around us, to what is truly worthy of focus. Why is there such great anxiety over attention? What is at stake in understanding attention and the challenges it faces? This book investigates attention from a range of disciplinary perspectives, including philosophy, history, anthropology, art history, and comparative literature. Each chapter begins with a concrete (...) scene whose protagonists are trying—and often failing—to attend. Authors examine key moments in the history of the study of attention; pose attention as a philosophical problem; explore the links between attention, culture, and technology; and consider the significance of attention for conceptualizations of human subjectivity. Readers encounter nineteenth-century experiments in boredom, ornithologists conveying sound through field notations, wearable attention-enhancing prosthetics, students using online learning platforms, and inquiries into attention as a cognitive state and moral virtue. Amid mounting concern about digital mediation of experience, the rise of “surveillance capitalism,” and the commodification of attention, Scenes of Attention deepens the thinking that is needed to protect the freedom of attention and the forms of life that make it possible. (shrink)

In this paper I put forward a reconstruction of the evolution of certain explanatory hypotheses on the neural basis of association and learning that are the premises of connectionism in the cybernetic age and of present-day connectionism. The main point of my reconstruction is based on two little-known case studies. The first is the project, published in 1913, of a hydraulic machine through which its author believed it was possible to simulate certain essential elements of the plasticity of nervous connections. (...) The author, S. Bent Russell, was an engineer deeply influenced by the neurological hypotheses on nervous conduction of Herbert Spencer, Max Meyer and Edward L. Thorndike. The second is the project, published in 1929, of an electromechanical machine in which the author, the psychologist J.M. Stephens, believed it was possible to embody Thorndike's law of effect. Thus both Bent Russell and Stephens referred to the principles of learning that Thorndike defined as connectionist . Their attempt was that of simulating by machines at least certain simple aspects of inhibition, association and habit formation that are typical of living organisms. I propose to situate their projects within the frame of thediscovery of a simulative (modelling) methodology which I believe might be considered an important topic of the Culture of the Artificial . Certain more recent steps toward such a methodology made by both connectionism of the 1950s and present-day connectionism are briefly pointed out in the paper. (shrink)

Science requires postformal capabilities to compare competing explanations and conceptualize how to coordinate or integrate them. With conflicts thus reconciled, science advances. The Model of Hierarchical Complexity facilitates the coordination of current arguments about intelligence. A cross-species measurement theory of comparative cognition is proposed. It has potential to overcome the lack of a general measurement theory for the science of comparative cognition, and the lack of domain-general mechanisms for evolutionary psychologists. The hierarchical complexity of concepts and debates as well as (...) the new theory are scored, and demonstrate the postformal hierarchical complexity of the proposed theory. (shrink)

Selectionism addresses the process of transition or change. In its evolution, Homo Sapiens has demonstrated such transitions to more hierarchically complex stages of performance at the individual, organizational, cultural, and biological levels. Traditionally, changes in biological, cultural, organizational, and individual behavior have been studied separately, with very little overlap. The current theory integrates selectionism across these realms, while noting that in each, selectionism operates through somewhat different mechanisms. Selectionism is comprised of complex processes in which tasks of greater hierarchical complexity (...) may be selected. Increased stages of performance underlie evolution's dynamics of increased complexity. (shrink)

In business settings, decision makers facing moral issues often experience the challenges of continuous changes. This dynamic process has been less examined in previous literature on moral decision making. We borrow theories on learning strategies and computational models from decision neuroscience to explain the updating and learning mechanisms underlying moral decision processes. Specifically, we present two main learning strategies: model-free learning, wherein the values of choices are updated in a trial-and-error fashion sustaining the formation of habits and model-based learning, wherein (...) the brain updates more general cognitive maps and associations, thus sustaining flexible and state-dependent behaviors. We then summarize studies explaining the neuro-computational processes of both learning strategies—the calculation of prediction errors and valuation. We conclude by emphasizing how the incorporation of dynamic aspects in moral decision making could open new avenues for understanding moral behaviors in a changing world. (shrink)

Increasing the tax compliance of self-employed business owners—particularly of trade-specific service providers such as those involved in construction and repair work—remains an ongoing challenge for tax authorities. From a compliance point of view, cash transactions are particularly problematic when services are paid for on the spot, as these exchanges are difficult to audit. We present experimental evidence testing ten different policy strategies rooted in the enforcement, service, and trust/social paradigms, in a setting that allows payment either via a transaction that (...) directly reports income for tax collection purposes or in cash, where taxes are only collected on reported income. Our sample includes both a typical subject pool of students, as used in most previous studies, and non-students who are active within service industries characterised by the opportunity to engage in cash transactions. While our comparative results show that, for both student and non-student participants, interventions that rely on greater enforcement by the tax authority have the greatest effect on compliance in our cash economy setting, treatments involving cooperative elements may be similarly effective in enhancing tax compliance. Given their effectiveness, cooperative approaches should therefore be considered for addition to the policy mix if implemented at relatively low costs, making both carrot and stick approaches promising to increase compliance in an environment where cash-for-service payments offer a common benefit for small businesses and their customers from implicit collusion that enables tax evasion. (shrink)

Reasons-responsive accounts of praiseworthiness say, roughly, that an agent is praiseworthy for an action just in case the reasons that explain why they acted are also the reasons that explain why the action is right. In this paper, we argue that reasons-responsive accounts imply that some actions of non-human animals are praiseworthy. Trying to exclude non-human animals, we argue, risks neglecting cases of inadvertent virtue in human action and undermining the anti-intellectualist commitments that are typically associated with reasons-responsive accounts. Of (...) course, this could be taken as a reason to reject reasons-responsive accounts, rather than as a reason to attribute praiseworthiness to non-human animal action. We respond to two reasons that one might resist the implication that non-human animal action can be praiseworthy. The first appeals to intuition: it’s too counterintuitive to attribute praiseworthiness to non-human animal action. In response, we argue that once the factors that determine an action’s praiseworthiness are disambiguated from the factors that determine whether an agent should be praised, the intuitive objection loses much of its force. The second appeals to empirical evidence: attributing praiseworthiness to non-human animal action involves a problematic kind of anthropomorphizing. First, we point out that this objection is mostly an _a priori_ objection in _a posteriori_ clothes: whether we give anthropomorphic vs. anthropectic explanations is a methodological choice, not an empirical one. Second, we argue that considerations from the literature on rational analysis and radical interpretation actually support anthropomorphic explanations over anthropectic explanations. (shrink)

Extrinsic motivations like intellectual property protections and fiscal incentives continue to occupy the centre stage in debates on innovation policies. Joseph Schumpeter had, however, argued that the motive to accumulate private property can only explain part of innovative activities. In his view, “the joy of creating, of getting things done” associated with the behavioural traits that “seek out difficulties…and takes delight in ventures” stand out as the most independent factor of behaviour in explaining innovation and economic development, especially in early (...) capitalist societies. Taking the case of ‘grassroot’ innovators in India, we re-examine the motivations behind innovative behaviour. Drawing upon the theory of effectance motivation we construct operational indicators of extrinsic and intrinsic motivations to innovate. Interestingly, we find that pure extrinsic forms of motivation drive only a fraction of individual innovative behaviour. A large amount of innovative behaviour is motivated either by intrinsic motivations or by a combination of intrinsic and extrinsic motivations. Also, conceptualising innovation as a three stage process involving idea generation, experimentation and application, we find evidence of motivation-shifts. The importance of intrinsic motivation is comparatively greater during the early stage, when uncertainty about innovation is high. The importance of extrinsic motivation, on the other hand, increases when innovation is complete, awaiting application. We then outline a few implications of these findings for policy making. (shrink)