Information protocols (IP's) were developed to describe players who learn their social situation by their experiences. Although IP's look similar to colored multi-graphs (MG's), the two objects are constructed in fundamentally different ways. IP's are constructed using the global concept of history, whereas graphs are constructed using the local concept of edges. We give necessary and sufficient conditions for each theory to be captured by the other. We find that the necessary and sufficient condition for IP theory to be captured (...) by MG theory, which we call SE, excludes relevant game situations. Hence, we conclude that IP theory remains a vital tool and cannot be replaced by MG theory. (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)

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)

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 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)

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)

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)

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)

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)

Volume 19, Issue 11, November 2019, Page 85-87.

All the authors of the sixteen essays gathered in this volume are concerned, in their different ways, to clarify, criticize, and develop key ideas and insights of Alfred North Whitehead (1861-1947), one of the towering figures of twentieth-century speculative thought, whose "process philosophy" has, in recent decades, aroused intense intellectual interest both in this country and abroad. The present volume is intended to complement, but not to duplicate, an earlier selection of important Whitehead studies, Alfred North Whitehead: Essays on His (...) Philosophy, ed. G. L. Kline (Englewood Cliffs: Prentice Hall, 1963). (shrink)