Addictive behavior threatens not just the addict's happiness and health but also the welfare and well-being of others. It represents a loss of self-control and a variety of other cognitive impairments and behavioral deficits. An addict may say, "I couldn't help myself." But questions arise: are we responsible for our addictions? And what responsibilities do others have to help us? This volume offers a range of perspectives on addiction and responsibility and how the two are bound together. Distinguished contributors -- (...) from theorists to clinicians, from neuroscientists and psychologists to philosophers and legal scholars -- discuss these questions in essays using a variety of conceptual and investigative tools. Some contributors offer models of addiction-related phenomena, including theories of incentive sensitization, ego-depletion, and pathological affect; others address such traditional philosophical questions as free will and agency, mind-body, and other minds. Two essays, written by scholars who were themselves addicts, attempt to integrate first-person phenomenological accounts with the third-person perspective of the sciences. Contributors distinguish among moral responsibility, legal responsibility, and the ethical responsibility of clinicians and researchers. Taken together, the essays offer a forceful argument that we cannot fully understand addiction if we do not also understand responsibility. (shrink)

School-aged children with Developmental Coordination Disorder (DCD) are at greater risk for physical inactivity, lower global self-worth, and internalizing problems, such as depression and anxiety. Based on the Environmental Stress Hypothesis (ESH), recent research has shown that physical inactivity and lower global self-worth sequentially mediate the relationship between DCD and internalizing problems, suggesting that DCD leads to lower levels of physical activity, which in turn, leads to lower levels of global self-worth, and ultimately, a greater amount of internalizing problems. However, (...) physical activity and global self-worth may also buffer (i.e., moderate) the adverse effect of DCD on internalizing problems. To date, this has yet to be tested. Participants were 1206 children aged 12-14 years (611 boys, 79 with probable DCD (pDCD)). All children received assessments of motor coordination, physical activity, global self-worth, and internalizing problems. Children with pDCD were less physically active, had lower self-worth, and experienced more internalizing problems compared to typically developing (TD) children (p’s <.05). Furthermore, the moderated moderating effect (three-way interaction) of physical activity and global self-worth was also evident (p <.05), indicating that internalizing problems in both TD and pDCD groups decreased with concurrent increases in physical activity and global self-worth. Importantly, when compared to TD children, increases in physical activity and global self-worth were associated with a greater reduction in internalizing problems among children with pDCD. The findings support several pathways in the ESH and highlight that, in addition to improving motor skills, interventions should also target both physical activity and global self-worth to mitigate potential mental health issues for children with motor difficulties. (shrink)

© 2017. The American Astronomical Society. All rights reserved.We present new observations of the low-mass companion to HD 984 taken with the Gemini Planet Imager as a part of the GPI Exoplanet Survey campaign. Images of HD 984 B were obtained in the J and H bands. Combined with archival epochs from 2012 and 2014, we fit the first orbit to the companion to find an 18 au orbit with a 68% confidence interval between 14 and 28 au, an eccentricity (...) of 0.18 with a 68% confidence interval between 0.05 and 0.47, and an inclination of 119°with a 68% confidence interval between 114°and 125°. To address the considerable spectral covariance in both spectra, we present a method of splitting the spectra into low and high frequencies to analyze the spectral structure at different spatial frequencies with the proper spectral noise correlation. Using the split spectra, we compare them to known spectral types using field brown dwarf and low-mass star spectra and find a best-fit match of a field gravity M6.5 ±1.5 spectral type with a corresponding temperature of K. Photometry of the companion yields a luminosity of log=2.88 ± 0.07 dex with DUSTY models. Mass estimates, again from DUSTY models, find an age-dependent mass of 34 ±1 to 95 ±4 M Jup. These results are consistent with previous measurements of the object. (shrink)

Part I: The Life of Cognitive Science:. William Bechtel, Adele Abrahamsen, and George Graham. Part II: Areas of Study in Cognitive Science:. 1. Analogy: Dedre Gentner. 2. Animal Cognition: Herbert L. Roitblat. 3. Attention: A.H.C. Van Der Heijden. 4. Brain Mapping: Jennifer Mundale. 5. Cognitive Anthropology: Charles W. Nuckolls. 6. Cognitive and Linguistic Development: Adele Abrahamsen. 7. Conceptual Change: Nancy J. Nersessian. 8. Conceptual Organization: Douglas Medin and Sandra R. Waxman. 9. Consciousness: Owen Flanagan. 10. Decision Making: J. Frank (...) Yates and Paul A. Estin. 11. Emotions: Paul E. Griffiths. 12. Imagery and Spatial Representation: Rita E. Anderson. 13. Language Evolution and Neuromechanisms: Terrence W. Deacon. 14. Language Processing: Kathryn Bock and Susan M. Garnsey. 15. Linguistics Theory: D. Terence Langendoen. 16. Machine Learning: Paul Thagard. 17. Memory: Henry L. Roediger III and Lyn M. Goff. 18. Perception: Cees Van Leeuwen. 19. Perception: Color: Austen Clark. 20. Problem Solving: Kevin Dunbar. 21. Reasoning: Lance J. Rips. 22. Social Cognition: Alan J. Lambert and Alison L. Chasteen. 23. Unconscious Intelligence: Rhianon Allen and Arthur S. Reber. 24. Understanding Texts: Art Graesser and Pam Tipping. 25. Word Meaning: Barbara C. Malt. Part III: Methodologies of Cognitive Science:. 26. Artificial Intelligence: Ron Sun. 27. Behavioral Experimentation: Alexander Pollatsek and Keith Rayner. 28. Cognitive Ethology: Marc Bekoff. 29. Deficits and Pathologies: Christopher D. Frith. 30. Ethnomethodology: Barry Saferstein. 31. Functional Analysis: Brian Macwhinney. 32. Neuroimaging: Randy L. Buckner and Steven E. Petersen. 33. Protocal Analysis: K. Anders Ericsson. 34. Single Neuron Electrophysiology: B. E. Stein, M.T. Wallace, and T.R. Stanford. 35. Structural Analysis: Robert Frank. Part IV: Stances in Cognitive Science:. 36. Case-based Reasoning: David B. Leake. 37. Cognitive Linguistics: Michael Tomasello. 38. Connectionism, Artificial Life, and Dynamical Systems: Jeffrey L. Elman. 39. Embodied, Situated, and Distributed Cognition: Andy Clark. 40. Mediated Action: James V. Wertsch. 41. Neurobiological Modeling: P. Read Montague and Peter Dayan. 42. Production Systems: Christian D. Schunn and David Klahr. Part V: Controversies in Cognitive Science:. 43. The Binding Problem: Valerie Gray Hardcastle. 44. Heuristics and Satisficing: Robert C. Richardson. 45. Innate Knowledge: Barbara Landau. 46. Innateness and Emergentism: Elizabeth Bates, Jeffrey L. Elman, Mark H. Johnson, Annette Karmiloff-Smith, Domenico Parisi, and Kim Plunkett. 47. Intentionality: Gilbert Harman. 48. Levels of Explanation and Cognition Architectures: Robert N. McCauley. 49. Modularity: Irene Appelbaum. 50. Representation and Computation: Robert S. Stufflebeam. 51. Representations: Dorrit Billman. 52. Rules: Terence Horgan and John Tienson. 53. Stage Theories Refuted: Donald G. Mackay. Part VI: Cognitive Science in the Real World:. 54. Education: John T. Bruer. 55. Ethics: Mark L. Johnson. 56. Everyday Life Environments: Alex Kirlik. 57. Institutions and Economics: Douglass C. North. 58. Legal Reasoning: Edwina L. Rissland. 59. Mental Retardation: Norman W. Bray, Kevin D. Reilly, Lisa F. Huffman, Lisa A. Grupe, Mark F. Villa, Kathryn L. Fletcher, and Vivek Anumolu. 60. Science: William F. Brewer and Punyashloke Mishra. Selective Biographies of Major Contributors to Cognitive Science: William Bechtel and Tadeusz Zawidzki. (shrink)

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 fundamental claim associated with parallel distributed processing theories of cognition is that knowledge is coded in a distributed manner in mind and brain. This approach rejects the claim that knowledge is coded in a localist fashion, with words, objects, and simple concepts, that is, coded with their own dedicated representations. One of the putative advantages of this approach is that the theories are biologically plausible. Indeed, advocates of the PDP approach often highlight the close parallels between distributed representations learned (...) in connectionist models and neural coding in brain and often dismiss localist theories as biologically implausible. The author reviews a range a data that strongly challenge this claim and shows that localist models provide a better account of single-cell recording studies. The author also contrast local and alternative distributed coding schemes and argues that common rejection of grandmother cell theories in neuroscience is due to a misunderstanding about how localist models behave. The author concludes that the localist representations embedded in theories of perception and cognition are consistent with neuroscience; biology only calls into question the distributed representations often learned in PDP models. (shrink)

This new selection of Thoreau’s essays traces his trajectory as a writer for the outlets of his day—the periodical press, newspapers, and compendiums—and as a frequent presenter on the local lecture circuit. By arranging the writings chronologically, the volume re-creates the experience of Thoreau’s readers as they followed his developing ideas over time. Jeffrey S. Cramer, award-winning editor of six previous volumes of works by Thoreau, offers the most accurate text available for each essay and provides convenient on-page annotations. (...) He establishes context and guides the reader through unfamiliar allusions and references, plumbing the depths of Thoreau’s writings with unprecedented insight. Among the essays in this book: · The Last Days of John Brown · Resistance to Civil Government [Civil Disobedience] · Thomas Carlyle and His Works · Natural History of Massachusetts · and many more. (shrink)

This new selection of Thoreau’s essays traces his trajectory as a writer for the outlets of his day—the periodical press, newspapers, and compendiums—and as a frequent presenter on the local lecture circuit. By arranging the writings chronologically, the volume re-creates the experience of Thoreau’s readers as they followed his developing ideas over time. Jeffrey S. Cramer, award-winning editor of six previous volumes of works by Thoreau, offers the most accurate text available for each essay and provides convenient on-page annotations. (...) He establishes context and guides the reader through unfamiliar allusions and references, plumbing the depths of Thoreau’s writings with unprecedented insight. Among the essays in this book: · The Last Days of John Brown · Resistance to Civil Government [Civil Disobedience] · Thomas Carlyle and His Works · Natural History of Massachusetts · and many more. (shrink)

This paper argues that the notion of value has been overly simplified and narrowed to focus on economic returns. Stakeholder theory provides an appropriate lens for considering a more complex perspective of the value that stakeholders seek as well as new ways to measure it. We develop a four-factor perspective for defining value that includes, but extends beyond, the economic value stakeholders seek. To highlight its distinctiveness, we compare this perspective to three other popular performance perspectives. Recommendations are made regarding (...) performance measurement for both academic researchers and practitioners. The stakeholder perspective on value offered in this paper draws attention to those factors that are most closely associated with building more value for stakeholders, and in so doing, allows academics to better measure it and enhances managerial ability to create it. (shrink)

Data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the use of big data analytics can also introduce many ethical concerns, stemming from, for example, the possible loss of privacy or the harming of a sub-category of the population via a classification algorithm. To help address these potential ethical challenges, this paper maps (...) and describes the main ethical themes that were identified via systematic literature review. It then identifies a possible structure to integrate these themes within a data science project, thus helping to provide some structure in the on-going debate with respect to the possible ethical situations that can arise when using data science analytics. (shrink)

The stakeholder perspective has provided a rich forum for a variety of debates at the intersection of business and society. Scholars gathered for two consecutive years, first in North America, and then in Europe, to discuss the major issues surrounding what has come to be known as stakeholder theory, to attempt to find common ground, and to uncover areas in need of further inquiry. Those meetings led to a list of “tensions” and a call for papers for this special issue (...) to help address them. In this article, we introduce the resulting articles and provide some brief commentary on their importance. We end with a few of our own observations about the stakeholder perspective and stakeholder research. (shrink)

In this article, we discuss a hypothesis to explain the preferential synthesis of the superoxide sensitive form of aconitase in mitochondria and the phenotype observed in manganese superoxide dismutase mutant mice, which show a gross over accumulation of stored fat in liver. The model proposes that intermediary metabolism is redox regulated by mitochondrial superoxide generated during mitochondrial respiration. This regulates the level of reducing equivalents (NADH) entering the electron transport chain (ETC) through the reversible inactivation of mitochondrial aconitase. This control (...) mechanism has a dual function; firstly, it regulates levels of superoxide generated by the ETC and, secondly, it fine‐tunes metabolism by channeling citrate either for the production of NADH for energy metabolism or diverting it for the synthesis of fats. In this setting, the mitochondrial redox state influences metabolic decisions via a superoxide–aconitase rheostat. BioEssays 26:894–900, 2004. © 2004 Wiley Periodicals, Inc. (shrink)

Stakeholder theory focuses on how more value is created if stakeholder relationships are governed by ethical principles such as integrity, respect, fairness, generosity and inclusiveness. However, it has not adequately addressed strategies that stakeholders perceive as harmful to their interests and how this perception can even lead some stakeholders to view the firm’s strategies as unethical. To fill the void, this paper directly addresses strategies that stakeholders perceive as harmful to their interests, or what we refer to as harmful stakeholder (...) strategies. Specifically, it identifies factors associated with stakeholder perceptions of harm that are likely to cause them to consider a strategy unethical, examines the negative implications for firms that pursue such strategies in terms of likely stakeholder responses and damage to stakeholder relationships, and provides theory to help explain how firms are likely to respond to stakeholder claims that a strategy is unethical, based on factors such as the strategic importance of the claim to the firm, how long the strategy has been in use, the costs of remediation, the risk of stakeholder mobilization or new regulation, and whether firms can reasonably rationalize their actions. Assessing harm allows a firm to make a more accurate estimate of the costs of a strategy and can assist managers in allocating resources intended to reduce or remediate harm. (shrink)

The aim of this paper is to examine the usefulness of the Machamer, Darden, and Craver (2000) mechanism approach to gaining an understanding of explanation in cognitive neuroscience. We argue that although the mechanism approach can capture many aspects of explanation in cognitive neuroscience, it cannot capture everything. In particular, it cannot completely capture all aspects of the content and significance of mental representations or the evaluative features constitutive of psychopathology.

Sibley et al. (2008) report a recurrent neural network model designed to learn wordform representations suitable for written and spoken word identification. The authors claim that their sequence encoder network overcomes a key limitation associated with models that code letters by position (e.g., CAT might be coded as C‐in‐position‐1, A‐in‐position‐2, T‐in‐position‐3). The problem with coding letters by position (slot‐coding) is that it is difficult to generalize knowledge across positions; for example, the overlap between CAT and TOMCAT is lost. Although we (...) agree this is a critical problem with many slot‐coding schemes, we question whether the sequence encoder model addresses this limitation, and we highlight another deficiency of the model. We conclude that alternative theories are more promising. (shrink)

Recent perspectives on community investments suggest that they are opportunities for firms to create value for shareholders and other stakeholders. However, many corporate managers are still influenced by a widely held belief that such investments erode profits and are therefore unjustifiable from an agency perspective. In this paper, we refine and test theory regarding countervailing forces that influence community-based firm performance. We hypothesize that high levels of available slack will be associated with higher community-based performance, but that this relationship will (...) be moderated by three important governance variables: board independence, investment fund ownership, and CEO ownership. We find support for our hypotheses in longitudinal study of a large sample of U.S. corporations. (shrink)

Do firms respond to changes in economic growth by altering their corporate social responsibility programs? If they do respond, are their responses simply neglect of areas associated with corporate social performance or do they also cut back on positive programs such as profit sharing, public/private housing programs, or charitable contributions? In this paper, we argue that because CSP-related actions and programs tend to be discretionary, they are likely to receive less attention during tough economic times, a result of cost-cutting efforts. (...) However, the various CSP performance areas vary in terms of their resource requirements and their influence on financial performance, which suggests that firms may respond differently depending on area. Consequently, in addition to examining CSP concerns separately from positive actions and programs, we also examine the influence of economic growth across the five areas of diversity, employee relations, the environment, product quality/safety, and the community. Based on data from 837 firms over 15 years, our results suggest that firms neglect some areas associated with CSP during economic downturns, resulting in increased concerns about community and employee relations, product safety/quality, and the environment. However, this relationship does not apply to positive actions and programs. Instead, firms tend to increase their positive CSP programs in areas such as diversity, employee relations, and the environment during periods of slow economic growth and reduce them when the economy picks up. We offer potential explanations for our findings and discuss their importance to research on CSP. (shrink)

To commemorate 40 years since the founding of the Journal of Business Ethics, the editors in chief of the journal have invited the editors to provide commentaries on the future of business ethics. This essay comprises a selection of commentaries aimed at creating dialogue around the theme Business versus Ethics?. The authors of these commentaries seek to transcend the age-old separation fallacy :409–421, 1994) that juxtaposes business and ethics/society, posing a forced choice or trade off. Providing a contemporary take on (...) the classical question “if it’s legal is it ethical?”, David Hess explores the role of the law in promoting or hindering stakeholder-oriented purpose and governance structure. Jeffrey Harrison encourages scholars to move beyond the presupposition that businesses are either strategic or ethical and explore important questions at the intersection of strategy and ethics. The proposition that business models might be inherently ethical or inherently unethical in their design is developed by Sheila Killian, who examines business systems, their morality, and who they serve. However, the conundrum that entrepreneurs are either lauded for their self-belief and risk-taking, or loathed for their self-belief and risk-taking, is discussed by M. Tina Dacin and Julia Roloff using the metaphor of taboos and totems. These commentaries seek to explore positions that advocate multiplicity and tensions in which business ethics is not either/or but both. (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)