This is a new edition of Joseph Fletcher's 1966 work that ignited a firestorm of controversy at the time of its publication.

It is generally agreed that the method of explication consists in replacing a vague, presystematic notion (the explicandum) with a precise notion (the explicatum) formulated in a systematic context. However, Carnap and others who have used this and related terms appear to hold inconsistent views as to what constitutes an adequate explication. The central feature of the present explication of 'explication' is the correspondence condition: permitting the explicandum to deviate from some established "ordinary-language" conventions but, at the same time, requiring (...) that the explicatum correspond (via an effective translation) to the chosen "definitive intension" of the explicandum. (In effect, the first stages of an explication provide an informal characterization of a vague and possibly inconsistent language convention.) The present account of explication contrasts sharply with that sketched by Quine in Word and Object (although Quine accepts a correspondence condition of a sort). The terms `explication 1 ' and `explication 2 ' are used to indicate these quite different senses of the term. In Kaplan's terminology, explication 1 is intended to remedy "external vagueness" while explication 2 is intended to remedy "internal vagueness.". (shrink)

Taking a critical look at some of the recent controls over human life, health, and death, Fletcher draws a vivid picture of contemporary biological needs and ethical responsibility. Genetic engineering, fetal research, abortion, suicide, human experimentation, infanticide, and euthanasia are some of the issues explored.

A technological revolution with first order implications is undeniable and underway. That is the permeation of society by computers and telecommunications technology. For western society, committed to a social, economic, and value structure premised upon an industrial society, the move to an information society is more than disruptive; it is transformational. Current changes are so rapidly paced in relation to business planning that it creates major challenges and opportunities to reach out, influence, and guide the change.The telematics revolution will affect (...) every aspect of our society since it will affect every aspect of our world which involves the generation, production, storage, or handling of information. Many ethical issues are touched upon. To sum them up, the new immorality is to choose to act in ignorance of future consequences. (shrink)

Offering an alternative to the theories of Skinner and other behaviorists, Rychlak draws upon recent research to support his belief that people can alter the grounds for their behavior and assume greater responsibility for it.

Using an experiment with corporate financial managers, we find that when red flags are present in the financial statements under their review, managers identify those red flags and, in turn, have greater concerns over earnings quality. In addition, when pressure to meet a financial target is high, managers are more concerned about earnings quality when red flags are present. We also document that when red flags are present, managers are more likely to report both internally to their CEO and, if (...) their concerns are not resolved internally, externally to their auditor. Pressure to meet a financial target increases the likelihood managers report internally, but decreases their likelihood of reporting externally when red flags are present. Additional analyses document reporting differences between CFOs and controllers, and examine the important roles that short-term personal costs, job tenure, and a non-accounting background play in the ethical dilemma managers face when deciding whether to report externally. (shrink)

The distinction between explanation and prediction has received much attention in recent literature, but the equally important distinction between explanation and description (or between prediction and description) remains blurred. This latter distinction is particularly important in the social sciences, where probabilistic models (or theories) often play dual roles as explanatory and descriptive devices. The distinction between explanation (or prediction) and description is explicated in the present paper in terms of information theory. The explanatory (or predictive) power of a probabilistic model (...) is identified with information taken from (or transmitted by) the environment (e.g., the independent, experimentally manipulated variables), while the descriptive power of a model reflects additional information taken from (or transmitted by) the data. Although information is usually transmitted by the data in the process of estimating parameters, it turns out that the number of free parameters is not a reliable index of transmitted information. Thus, the common practice of treating parameters as degrees-of-freedom in testing probabilistic models is questionable. Finally, this information-theoretic analysis of explanation, prediction, and description suggests ways of resolving some recent controversies surrounding the pragmatic aspects of explanation and the so-called structural identity thesis. (shrink)

The aim of this paper is twofold: first to sketch a framework for classifying a wide range of conceptions of scientific objectivity and second to present and defend a conception of scientific objectivity that fills a neglected niche in the resulting hierarchy of viewpoints. Roughly speaking, the proposed ideal of scientific objectivity is effectiveness in the informal but technical sense of an effective method. Science progresses when "higher levels of communicative discourse" are reached by transforming subjective judgments regarding the generation (...) and reduction of data or the testing of theories into objective decision procedures that are automatic or mechanical. (shrink)

The audit profession’s technical and ethical standards require the application of professional skepticism throughout the financial statement audit process, as auditor skepticism is essential for detecting financial statement fraud and protecting the investing public. However, recent research suggests that audit supervisors often punish staff for exercising skepticism, presenting auditors with an ethical conflict between acting in their own self-interest and acting in a way that improves audit quality and protects the public. This research also suggests that supervisors who reward appropriate (...) skeptical behavior, regardless of the outcome, appear to develop staff that are more likely to detect and convey fraud red flags to their superiors. Building on this research, we use a case-based survey to identify the characteristics of audit supervisors (audit seniors and managers) who are more likely to reward appropriate skepticism, even if it ultimately does not identify a misstatement. We find that trait skepticism, especially suspending one’s judgment, positively drives the evaluations of professional skepticism in our setting. Also, we observe that when supervisors believe that their own audit partner will view the skepticism favorably, they “pay it forward” by rewarding their own staff who engage in skepticism. Our findings identify the characteristics that audit firms may want to develop and foster in auditors rising to supervisory levels. (shrink)

This paper contrasts two information-theoretic approaches to statistical explanation: namely, (1) an analysis, which originated in my earlier research on problems of testing stochastic models of learning, based on an entropy-like measure of expected transmitted-information (and here referred to as the Expected-Information Model), and (2) the analysis, which was proposed by James Greeno (and which is closely related to Wesley Salmon's Statistical Relevance Model), based on the information-transmitted-by-a-system. The substantial differences between these analyses can be traced to the following basic (...) difference. On Greeno's view, the essence of explanation lies in the relevance relations expressed by the conditional probabilities that relate the explanans variables to the explanandum variables; on my view, in contrast, the essence of explanation lies in theories viewed as hypothetical structures which deductively entail conditional probability distributions linking the explanans variables and the explanandum variables. The explanatory power of a stochastic theory is identified with information (regarding the values of explanandum variables) which is "absorbed from" the explanans variables. While other information which is "absorbed from" the explanandum variables (through the process of parameter estimation, for example) reflects descriptive power of the theory. I prove that Greeno's measure of transmitted information is a limiting special case of the E-I model, but that the former, unlike the latter, makes no distinction between explanatory power and descriptive power. (shrink)

It is argued that current attempts to model human learning behavior commonly fail on one of two counts: either the model assumptions are artificially restricted so as to permit the application of mathematical techniques in deriving their consequences, or else the required complex assumptions are imbedded in computer programs whose technical details obscure the theoretical content of the model. The first failing is characteristic of so-called mathematical models of learning, while the second is characteristic of computer simulation models. An approach (...) to model building which avoids both these failings is presented under the title of a black-box theory of learning. This method permits the statement of assumptions of any desired complexity in a language which clearly exhibits their theoretical content.Section II of the paper is devoted to the problem of testing and comparing alternative learning theories. The policy advocated is to abandon attempts at hypothesis testing. It is argued that, in general, we not only lack sufficient data and sufficiently powerful techniques to test hypotheses, but that the truth of a model is not really the issue of basic interest. A given model may be true in the sense that on the basis of available evidence we cannot statistically reject it, but not interesting in the sense that it provides little information about the processes underlying behavior. Rather, we should accept or reject models on the basis of how much information they provide about the way in which subjects respond to environmental structure. This attitude toward model testing is made precise by introducing a formal measure of the information content of a model. Finally, it is argued that the statistical concept of degrees-of-freedom is misleading when used in the context of model testing and should be replaced by a measure of the information absorbed from the data in estimating parameters. (shrink)

Many scientists proclaim that consciousness is an illusion, a mere byproduct of chemical activity in the brain. In the computer age, scholars have further conceptualized consciousness as the software that regulates human functions, reducing our foibles and feats to complex but ultimately predictable robotics.

Comments on the views on free will offered by B. D. Slife , M. Gergen , R. N. Williams , M. S. Richardson , and G. S. Howard in light of the classical definition of FW as being capable of doing otherwise. It is argued that FW interpretations differ markedly depending on whether they are viewed as due to a process or to contents within some process. 2012 APA, all rights reserved).

Questions of both a theoretical and methodological nature are raised concerning Harcum's interesting paper on the resolution of the free will issue. The theoretical questions deal with the meaning of "free" as the supposed capricious disregard of environmental circumstances, the theoretical perspective from which agency is construed, the sort of causation that is involved, the choice of a predication model rather than a mediation model, and the role of opposition in framing alternatives. Methodological questions raised center on the role of (...) the experimental instruction, manipulation of the independent variable, and the reliance on randomness or error variance in the validation of free will conceptions. It is concluded that Harcum's findings are consistent with human agency, but that his theoretical account requires some rethinking. (shrink)

Aeschylus' constant metrical practice shows that either Ag. 404/5 in the strophe, or 421/2 , correspondingly in the antistrophe, is corrupt in the manuscript tradition.

"Humanae Vitae" is a definitive teaching of the authoritative and authentic interpreter of the divine and natural law and is therefore gravely binding in conscience.

"Humanae Vitae" is a definitive teaching of the authoritative and authentic interpreter of the divine and natural law and is therefore gravely binding in conscience.

Mathematical expressions for the entropyS, the average information gained per trial (Ī) from information theory, and the de Broglie cyclical action integralA from his reinterpretation of wave mechanics are shown to be similar. The importance of this observation in our understanding ofS andĪ is considered. Furthermore, the similarity in the mathematical form of these functions indicates a possible route to further interpretation of de Broglie'sA and the nature of his “hidden thermostat.”.