This essay questions the wisdom of adherence to an indulgent approach to vertical integration in health care. It first critiques the bases for antitrust law's traditional tolerance of vertical integration and describes contemporary economic learning that supports more robust antitrust enforcement. It goes on to dispute arguments urging extra caution in dealing with the health care sector and concludes with several justifications for close scrutiny of vertical health sector mergers.

The recent accounting scandals at Enron, WorldCom, and other corporations have helped to fuel a massive loss of confidence in the integrity of American business and have contributed to a very sharp decline in the U.S. stock market. Inasmuch as these events have brought ethical questions about business to the forefront in the media and public consciousness as never before, they are of signal importance for the field of business ethics. I offer some observations and conjectures about the bearing of (...) the recent scandals on the literature on business ethics. I defend the following contentions: 1. Recent events reveal serious weaknesses of the stakeholder theory about the social responsibilities of business which lacks prohibitions against fraud and deception. This is a glaring deficiency of standard versions of the stakeholder theory, but it is easily remedied by adding explicit prohibitions against fraud and deception. In addition, recent events highlight the stakeholder theory's very naive and unrealistic hopes and expectations for business executives as moral arbiters and agents of social improvement. 2. Recent events do not constitute an objection to the shareholder theory about the social responsibilities of business, however, these events make evident the implausibility of strong versions of the invisible hand theory. 3. Schemes of payment and reward often create perverse incentives for individuals to engage in unethical conduct. 4. Both the shareholder theory and the stakeholder theory need to add a constraint that requires executives to respect the professional obligations of employees. (shrink)

. What distinguishes Pangle's study from the dozens of books which have challenged or elaborated upon the republican revision is the sharpness with which he ...

Information changes as it is passed from person to person, with this process of cultural transmission allowing the minds of individuals to shape the information that they transmit. We present mathematical models of cultural transmission which predict that the amount of information passed from person to person should affect the rate at which that information changes. We tested this prediction using a function-learning task, in which people learn a functional relationship between two variables by observing the values of those variables. (...) We varied the total number of observations and the number of those observations that take unique values. We found an effect of the number of observations, with functions transmitted using fewer observations changing form more quickly. We did not find an effect of the number of unique observations, suggesting that noise in perception or memory may have affected learning. (shrink)

Many of the problems studied in cognitive science are inductive problems, requiring people to evaluate hypotheses in the light of data. The key to solving these problems successfully is having the right inductive biases—assumptions about the world that make it possible to choose between hypotheses that are equally consistent with the observed data. This article explores a novel experimental method for identifying the biases that guide human inductive inferences. The idea behind this method is simple: This article uses the responses (...) produced by a participant on one trial to generate the stimuli that either they or another participant will see on the next. A formal analysis of this “iterated learning” procedure, based on the assumption that the learners are Bayesian agents, predicts that it should reveal the inductive biases of these learners, as expressed in a prior probability distribution over hypotheses. This article presents a series of experiments using stimuli based on a well-studied set of category structures, demonstrating that iterated learning can be used to reveal the inductive biases of human learners. (shrink)

Situation selection involves choosing situations based on their likely emotional impact and may be less cognitively taxing or challenging to implement compared to other strategies for regulating emotion, which require people to regulate their emotions “in the moment”; we thus predicted that individuals who chronically experience intense emotions or who are not particularly competent at employing other emotion regulation strategies would be especially likely to benefit from situation selection. Consistent with this idea, we found that the use of situation selection (...) interacted with individual differences in emotional reactivity and competence at emotion regulation to predict emotional outcomes in both a correlational and an experimental field study. Taken together, the findings suggest that situation selection is an effective strategy for regulating emotions, especially for individuals who otherwise struggle to do so. (shrink)

One professor of literature renounces his fight to discriminate wrong from right readings. He succumbs to pressures from theorists and practitioners in the profession at large and enters a world of unimagined intellectual freedom. After all, to suggest that some readings might be wrong is not only to engage in intellectual discrimination, but to enter into complicity with a number of imperious gestures that carry dire political consequences. Coming to terms with his newfound freedom to embrace all interpretations of texts (...) as equally valid, he outlines for those who follow thirteen rules that guide hermeneutical practice in our postmodern age. (shrink)

Standard definitions of lying imply that intending to deceive others is a necessary condition of one's telling a lie. In an earlier paper, which appeared in this journal, Wokutch, Murrmann and I argued that intending to deceive others is not a necessary condition of one's telling a lie and proposed an alternative definition. In a reply which also appeared in this journal, Gary Jones argues that our arguments fail to establish the claim that it is possible to lie without intending (...) to deceive others, and that the objections which we raise for standard definitions apply equally to our own. The present paper argues that one can lie without intending to deceive others. I concede Jones' second criticism and propose a new alternative definition. (shrink)

Introduction -- Nazi philosophy -- The expulsion of the invaders -- Philosophical method : virtue vs. vice -- The virtuous tradition : analysis, liberalism, englishness -- Epilogue.

What is freedom? In this study, Thomas Dumm challenges the conventions that have governed discussions and debates concerning modern freedom by bringing the work of Michel Foucault into dialogue with contemporary liberal thought. While Foucault has been widely understood to have characterized the modern era as being opposed to the realization of freedom, Dumm shows how this characterization conflates Foucault’s genealogy of discipline with his overall view of the practices of being free. Dumm demonstrates how Foucault’s critical genealogy does (...) not shrink from understanding the ways in which modern subjects are constrained and shaped by forces greater than themselves, but how it instead works through these constraints to provide, not simply a vision of liberation, but a joyous wisdom concerned with showing us, in his words, that we “are much freer than we feel.” Both as an introduction to Foucault and as an intervention in liberal theory, Michel Foucault and the Politics of Freedom is bound to change how we think about the limits and possibilities of freedom in late modernity. (shrink)

My interest in the issues considered here arose out of my great frustration in trying to attack the all-pervasive relativism of my students in introductory ethics courses at Virginia Polytechnic Institute and State University. I am grateful to my students for forcing me to take moral relativism and skepticism seriously and for compelling me to argue for my own dogmatically maintained version of moral objectivism. The result is before the reader. The conclusions reached here (which can be described either as (...) a minimal objectivism or as a moderate verson of relativism) are considerably weaker than those that I had expected and would have liked to have defended. I have arrived at these views kicking and screaming and have resisted them to the best of my ability. The arguments of this book are directed at those who deny that moral judgments can ever be correct (in any sense that is opposed to mistaken) and who also deny that we are ever rationally com pelled to accept one moral judgment as opposed to another. I have sought to take their views seriously and to fight them on their own grounds without making use of any assumptions that they would be unwilling to grant. My conclusion is that, while it is possible to refute the kind of extreme irrationalism that one often encounters, it is impossible to defend the kind of objectivist meta-ethical views that most of us want to hold, without begging the question against the non-objectivist. (shrink)

Marr's levels of analysis—computational, algorithmic, and implementation—have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push the (...) notion of rationality, often used in defining computational-level models, deeper toward the algorithmic level. We offer a simple recipe for reverse-engineering the mind's cognitive strategies by deriving optimal algorithms for a series of increasingly more realistic abstract computational architectures, which we call “resource-rational analysis.”. (shrink)