This article seeks to answer why North—South climate negotiations have gone on for decades without producing any substantial results. To address this question, we revisit and seek to integrate insights from several disparate theories, including structuralism (new and old), world systems theory, rational choice institutionalism, and social constructivism. We argue that the lack of convergence on climate grew almost inevitably from our starkly unequal world, which has created and perpetuated highly divergent ways of thinking (worldviews and causal beliefs) and promoted (...) particularistic notions of fairness (principled beliefs). We attempt to integrate structural insights about global inequality with the micro-motives of rational choice institutionalism. The structuralist insight that ‘unchecked inequality undermines cooperation’ suggests climate negotiations must be broadened to include a range of seemingly unrelated development issues such as trade, investment, debt, and intellectual property rights agreements. We conclude by reviewing the work of some ‘norm entrepreneurs’ bringing justice issues into climate negotiations and explore how these insights might influence ‘burden sharing’ discussions in the post-Kyoto world, where development is constrained by climate change. (shrink)

Japanese Philosophy in the Making 1: Crossing Paths with Nishida, by John C. Maraldo, is the first of three volumes collecting his essays in Japanese philosophy. This volume, which is divided into two sections, gathers together thirteen essays reflecting on the thought of Nishida Kitarō. The first section, “Pathways to Nishida,” is comprised of three essays clarifying some of the metatheoretical, intellectual and scholarly contexts around the study of Nishida’s thought. The remaining essays represent “Pathways Through Nishida,” which engage Nishida’s (...) philosophy from a variety of analytic, thematic, and comparative perspectives. These pathways are genuinely penetrating and unfold around a handful of fundamental... (shrink)

Building on his 2017 book, Japanese Philosophy in the Making 1: Crossing Paths with Nishida, John Maraldo continues to shepherd his readers through an encounter with Japanese philosophy in this second volume. Departing from Nishida as the presumptive center, Maraldo interrogates the "borderlines" in his engagement with the thinking of Watsuji Tetsurō, Tanabe Hajime, and Kuki Shūzō, in addition to confronting important issues pertaining to politics and ecology. To speak of "shepherding" here is intentional; but it is not meant to (...) indicate any kind of paternalism, either in form or content. Rather, it is meant to capture the tremendous care with which Maraldo leads his readers down the path of his thinking. In... (shrink)

As a way forward in assessing how the Old Testament wisdom tradition might speak to decisions in a modern medical context, in this paper, I propose exploring the iconographic function of the “tree of life” in the Old Testament, which is consistently associated with both wisdom as well as life and health, in order to tease out two-related issues that can help in providing a Christian theological framework for thinking about the problem of the medicalization of risk: first, how should (...) the natural and good human desire for health and long life be framed in terms of the pursuit of wisdom? And, second, how might a sapientially formed character approach risk and uncertainty in making medical decisions? The answers to these questions help establish a framework in which more specific questions related to the medicalization of risk can be assessed. As such, this paper is deliberately programmatic and perspectival rather than prescriptive. (shrink)

Every scientist chooses a preferred level of analysis and this choice shapes the research program, even determining what counts as evidence. This contribution revisits Marr's three levels of analysis and evaluates the prospect of making progress at each individual level. After reviewing limitations of theorizing within a level, two strategies for integration across levels are considered. One is top–down in that it attempts to build a bridge from the computational to algorithmic level. Limitations of this approach include insufficient theoretical constraint (...) at the computation level to provide a foundation for integration, and that people are suboptimal for reasons other than capacity limitations. Instead, an inside-out approach is forwarded in which all three levels of analysis are integrated via the algorithmic level. This approach maximally leverages mutual data constraints at all levels. For example, algorithmic models can be used to interpret brain imaging data, and brain imaging data can be used to select among competing models. Examples of this approach to integration are provided. This merging of levels raises questions about the relevance of Marr's tripartite view. (shrink)

Historically confined to the disadvantaged ranks of the stratification system, evangelical Christians have increasingly joined the corporate elite, eliciting concern from some and sanguinity from others. Quantitative studies of the effects of religion on executive behavior have thus far shown mixed and inconclusive effects, and those few qualitative analyses that have focused on evangelical business leaders have generally emphasized conflict between religion and business but failed adequately to explore areas of consonance. While evangelical executives do, in fact, experience conflict associated (...) with their professional contexts, this tension arises not because business and religion are inherently opposed, as some have argued, but because evangelical business leaders are made to feel like second-class citizens by members of their own faith communities. Indeed, in cases of apparent conflict between faith and business, evangelical executives insist that it is faith, not business, that must be reconceived. Equipped with an array of strategies for demonstrating that business is a sacred institution and a worthy occupation, evangelical business leaders hope to restore faith in business as they apply their faith in business. In these evangelical executives and their accounts, the "spirit of capitalism," defined by Max Weber as a positive attitude toward both work and wealth, finds ongoing embrace and new expression, with implications for understanding the so-called faith at work movement, evangelicalism, and the role of religion among elites. (shrink)

As John Henry Newman reflected on 'The Idea of a University' more than a century and a half ago, Bradley C. S. Watson brings together some of the nation's most eminent thinkers on higher education to reflect on the nature and purposes of the American university today. Their mordant reflections paint a picture of the American university in crisis. This book is essential reading for thoughtful citizens, scholars, and educational policymakers.

In Civil Rights and the Paradox of Liberal Democracy, Bradley Watson demonstrates the paradox of liberal democracy: that its cornerstone principles of equality and freedom are principles inherently directed toward undermining it. Modernity, beyond bringing definition to political equality, unleashed a whirlwind of individualism, which feeds the soul's basic impulse to rule without limitationincluding the limitation of consent. Here Watson begins his analysis of the foundations of liberalism, looking carefully and critically at the moral and political philosophies that justify (...) modern civil rights litigation. He goes on to examine the judicial manifestations of the paradox of liberal democracy, seeking to bring a broad philosophical coherence to legal decision making in the United States and Canada. Finally, Watson illuminates the extent to which this decision making is in tension with liberal democracy, and outlines proposals for reform. (shrink)

Freedom and the Rule of Law takes a critical look at the historical beginnings of law in the United States, and how that history has influenced current trends regarding law and freedom. Anthony Peacock has compiled articles that examine the relationship between freedom and the rule of law in America. The rule of law is fundamental to all liberal constitutional regimes whose political orders recognize the equal natural rights of all.

An incomplete science begets imperfect models. Nevertheless, the target article advocates for jettisoning deep-learning models with some competency in object recognition for toy models evaluated against a checklist of laboratory findings; an approach which evokes Alan Newell's 20 questions critique. We believe their approach risks incoherency and neglects the most basic test; can the model perform its intended task.

Conceptual features differ in how mentally tranformable they are. A robin that does not eat is harder to imagine than a robin that does not chirp. We argue that features are immutable to the extent that they are central in a network of dependency relations. The immutability of a feature reflects how much the internal structure of a concept depends on that feature; i.e., how much the feature contributes to the concept's coherence. Complementarily, mutability reflects the aspects in which a (...) concept is flexible. We show that features can be reliably ordered according to their mutability using tasks that require people to conceive of objects missing a feature, and that mutability (conceptual centrality) can be distinguished from category centrality and from diagnosticity and salience. We test a model of mutability based on asymmetric, unlabeled, pairwise dependency relations. With no free parameters, the model provides reasonable fits to data. Qualitative tests of the model show that mutability judgments are unaffected by the type of dependency relation and that dependency structure influences judgments of variability. (shrink)

The prominence of Bayesian modeling of cognition has increased recently largely because of mathematical advances in specifying and deriving predictions from complex probabilistic models. Much of this research aims to demonstrate that cognitive behavior can be explained from rational principles alone, without recourse to psychological or neurological processes and representations. We note commonalities between this rational approach and other movements in psychology – namely, Behaviorism and evolutionary psychology – that set aside mechanistic explanations or make use of optimality assumptions. Through (...) these comparisons, we identify a number of challenges that limit the rational program's potential contribution to psychological theory. Specifically, rational Bayesian models are significantly unconstrained, both because they are uninformed by a wide range of process-level data and because their assumptions about the environment are generally not grounded in empirical measurement. The psychological implications of most Bayesian models are also unclear. Bayesian inference itself is conceptually trivial, but strong assumptions are often embedded in the hypothesis sets and the approximation algorithms used to derive model predictions, without a clear delineation between psychological commitments and implementational details. Comparing multiple Bayesian models of the same task is rare, as is the realization that many Bayesian models recapitulate existing (mechanistic level) theories. Despite the expressive power of current Bayesian models, we argue they must be developed in conjunction with mechanistic considerations to offer substantive explanations of cognition. We lay out several means for such an integration, which take into account the representations on which Bayesian inference operates, as well as the algorithms and heuristics that carry it out. We argue this unification will better facilitate lasting contributions to psychological theory, avoiding the pitfalls that have plagued previous theoretical movements. (shrink)

Tenenbaum and Griffiths's article continues three disturbing trends that typify category learning modeling: (1) modelers tend to focus on a single induction task; (2) the drive to create models that are formally elegant has resulted in a gross simplification of the phenomena of interest; (3) related research is generally ignored when doing so is expedient. [Tenenbaum & Griffiths].

The ability to make informative comparisons is central to human cognition. Comparison involves aligning two representations and placing their elements into correspondence. Detecting correspondences is a necessary component of analogical inference, recognition, categorization, schema formation, and similarity judgment. Connectionist Analogy Builder (CAB) determines correspondences through a simple iterative computation that matches elements in one representation with elements playing compatible roles in the other representation while simultaneously enforcing structural constraints. CAB shows promise as a process model of comparison as its performance (...) can be related to human performance (e.g., solution trajectory, error patterns, time‐on‐task). Furthermore, CAB's bounded working memory allows it to account for the inherent capacity limitations of human processing. CAB's strengths are its parsimony, transparency of operations, and ability to generate performance predictions. In this paper, CAB is evaluated against benchmark phenomena from the analogy literature. (shrink)

Penn et al. argue that the complexity of relational learning is beyond animals. We discuss a model that demonstrates relational learning need not involve complex processes. Novel stimuli are compared to previous experiences stored in memory. As learning shifts attention from featural to relational cues, the comparison process becomes more analogical in nature, successfully accounting for performance across species and development.

Mathematical developments in probabilistic inference have led to optimism over the prospects for Bayesian models of cognition. Our target article calls for better differentiation of these technical developments from theoretical contributions. It distinguishes between Bayesian Fundamentalism, which is theoretically limited because of its neglect of psychological mechanism, and Bayesian Enlightenment, which integrates rational and mechanistic considerations and is thus better positioned to advance psychological theory. The commentaries almost uniformly agree that mechanistic grounding is critical to the success of the Bayesian (...) program. Some commentaries raise additional challenges, which we address here. Other commentaries claim that all Bayesian models are mechanistically grounded, while at the same time holding that they should be evaluated only on a computational level. We argue this contradictory stance makes it difficult to evaluate a model's scientific contribution, and that the psychological commitments of Bayesian models need to be made more explicit. (shrink)

Several technological developments, such as self-service technologies and artificial intelligence, are disrupting the retailing industry by changing consumption and purchase habits and the overall retail experience. Although AI represents extraordinary opportunities for businesses, companies must avoid the dangers and risks associated with the adoption of such systems. Integrating perspectives from emerging research on AI, morality of machines, and norm activation, we examine how individuals morally behave toward AI agents and self-service machines. Across three studies, we demonstrate that consumers’ moral concerns (...) and behaviors differ when interacting with technologies versus humans. We show that moral intention is less likely to emerge for AI checkout and self-checkout machines compared with human checkout. In addition, moral intention decreases as people consider the machine less humanlike. We further document that the decline in morality is caused by less guilt displayed toward new technologies. The non-human nature of the interaction evokes a decreased feeling of guilt and ultimately reduces moral behavior. These findings offer insights into how technological developments influence consumer behaviors and provide guidance for businesses and retailers in understanding moral intentions related to the different types of interactions in a shopping environment. (shrink)

As John Henry Newman reflected on 'The Idea of a University' more than a century and a half ago, Bradley C. S. Watson brings together some of the nation's most eminent thinkers on higher education to reflect on the nature and purposes of the American university today. Their mordant reflections paint a picture of the American university in crisis. This book is essential reading for thoughtful citizens, scholars, and educational policymakers.