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)

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)

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)

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)

there be an objective modal distinction between the observable and the unobservable.’ My intent is to counter Ladyman's claim that the irreducibly modal character of empirical adequacy is something that is ‘really wrong with constructive empiricism’. I argue that disposition concepts refer to non-modal properties of types rather than to modal properties of tokens of those types. Solubility, for example, is an ‘occurrent’, though unobservable, property of a type of substance (involving the structure of associated atoms); and observability is, similarly, (...) an ‘occurrent’, though unobservable, property of a type of event (involving the structure of associated physical systems). Empirical adequacy, like truth, is an objective, semantic notion; the empirical adequacy of a theory depends upon all actual tokens of the relevant observable type, not just upon the tokens that have actually been observed. Introduction The typical character of disposition concepts Confirmational versus semantic empirical adequacy Conclusion. (shrink)

In his book, The Scientific Image, Bas van Fraassen argues for an anti-realist view of science according to which the sole epistemological aim of science is to "save the phenomena". As originally conceived, his constructive empiricism is strongly extensional, but in his account of the empirical adequacy of probabilistic theories, van Fraassen reluctantly abandons this extensional position, arguing that modal (intensional) notions are unavoidable in interpreting probability. I argue in this paper that van Fraassen has not presented the strongest possible (...) case for a fully extensional account of empirical adequacy. On the present account, a probabilistic theory is empirically adequate just in case there is no theory that has a higher likelihood relative to all the phenomena in the actual world. I prove that a theory is empirically adequate if and only if the probability attributed to each observable event that occurs in the actual world is its limiting relative frequency. Thus, in so far as one is concerned with the empirical adequacy (rather than with the literal truth) of probabilistic theories, strict relative frequencies provide an adequate basis for "interpreting probability". Probabilistic theories are treated in a genuine measurement context. In this connection I distinguish between worlds that are "strongly infinite" and worlds that are only "weakly infinite". It is characteristic of the former worlds that there is no limit to the precision of actual measurements. I show by example that in some "strongly infinite" worlds, theories will be empirically adequate only if observables are represented by continuous (rather than discrete) random variables. The range of such examples is clarified by a theorem which states necessary and sufficient conditions under which the "phenomena can be saved" without recourse to continuous random variables and real numbers. (shrink)

In his recent book Scientific Explanation and the Causal Structure of the World Wesley Salmon provides a detailed explanation of objective homogeneity, a concept which is central to his S-R model of explanation. 1 propose a modification of Salmon's definition which both simplifies and (in minor ways) corrects it, while at the same time generalizes it by including an important temporal factor that is missing from the original. I argue that if the world is irreducibly stochastic, then objective probabilities (determined (...) by objective homogeneous reference classes) must be temporally relativized. We can speak coherently of the objective probability of a particular event relative to a given point in time, but not of the objective probability of the event simpliciter. I briefly explore the consequences, of the temporal relativity of objective homogeneity for Salmon's attempt to secure an objective (nonepistemic, nonpraagmatic) S-R basis for causal explanation. (shrink)

In his recent book Scientific Explanation and the Causal Structure of the World Wesley Salmon provides a detailed explication of objective homogeneity, a concept which is central to his Statistical-Relevance (S-R) model of explanation. One of the purposes of Salmon’s explication is to refute Hempel’s thesis of the epistemic relativity of statistical explanation. According to this thesis “the concept of statistical explanation for particular events is essentially relative to a given knowledge situation” (Hempel 1965, pp. 402-403, quoted in Salmon 1984, (...) p. 48). Salmon introduces (1984, p. 55) the concept that forms the basis for his S-R model as follows: “A reference class A is homogeneous with respect to an attribute B provided there is no set of properties Ci (1 ≤i ≤ k; k ≥ 2) in terms of which A can be relevantly partitioned. (shrink)

According to van Fraassen's constructive empiricism, the epistemological aim of scientific theories is "to save the phenomena". Theories which achieve this aim are said to be empirically adequate. In an earlier paper a likelihood analysis of the empirical adequacy of simple statistical hypotheses was given. The present paper extends that likelihood analysis of empirical adequacy to composite statistical hypotheses. It is argued that for composite hypotheses the notion of likelihood is ambiguous. This ambiguity leads to a distinction between predictive adequacy, (...) based upon a prior likelihood function, and descriptive adequacy, based upon a posterior likelihood function. (shrink)

This paper argues that if the world is irreducibly stochastic, then both Salmon's S-R model of explanation and Fetzer's C-R model of explanation have the following undesirable consequence: the objective probability (associated with the model's relevance condition) of any actual macro-event is either undefined or else, if defined, it equals one--so that the event is not even a candidate for a probabilistic explanation. This result follows from the temporal ambiguity of ontic probability in an irreducibly stochastic world. It is argued (...) further that an analogous difficulty faces those theories of probabilistic causality which depend upon the notions of contributing and counteracting causes. Because of the problem of temporal ambiguity, it is not possible to objectively label a particular event as a contributing (or a counteracting) cause of some subsequent event. The argument is carried through in detail for a recent theory of probabilistic causality proposed by Paul Humphreys. (shrink)

This book brings together several strands of Salmon's important philosophical investigations, spanning two decades, into a comprehensive theory of scientific explanation. The fundamental tenet of Salmon's ontic conception of explanation is that "to explain an event is to exhibit it as occupying its... place in the discernible [causal] patterns of the world". Thus an adequate theory of explanation presupposes an account of the causal structure of the world, and one of the principal objectives of the book is to outline a (...) theory of causal processes that will provide the requisite foundation for a theory of objective scientific explanation. (shrink)

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

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.

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.

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)

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)

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.”.

Setting optimal significance levels that minimize Type I and Type II errors allows for more transparent and well‐considered statistical decision making compared to the traditional α = 0.05 significance level. We use the optimal α approach to re‐assess conclusions reached by three recently published tests of the pace‐of‐life syndrome hypothesis, which attempts to unify occurrences of different physiological, behavioral, and life history characteristics under one theory, over different scales of biological organization. While some of the conclusions reached using optimal α (...) were consistent to those previously reported using the traditional α = 0.05 threshold, opposing conclusions were also frequently reached. The optimal α approach reduced probabilities of Type I and Type II errors, and ensured statistical significance was associated with biological relevance. Biologists should seriously consider their choice of α when conducting null hypothesis significance tests, as there are serious disadvantages with consistent reliance on the traditional but arbitrary α = 0.05 significance level. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Kennedy Institute of Ethics Journal 10.1 (2000) 103-108 [Access article in PDF] Letters "Small Sacrifices" in Stem Cell Research Madam: I agree with Professors McGee and Caplan (in their article "The Ethics and Politics of Small Sacrifices in Stem Cell Research," KIEJ, June 1999) that the question of the nature and status of the source of stem cells must be addressed. However, in their eagerness to convince us of (...) the smallness of the sacrifices, I think the authors use some unfortunate rhetorical devices and move much too quickly over some necessary distinctions.The rhetorical display is unfortunate if the article is intended to be a fair and rational development of an argument--e.g., those who hold a position in opposition to the authors do not argue they "inveigh." The section on the political area of the controversy seems particularly dismissive of other's positions.However, I will focus on just two areas where I think a more nuanced consideration would make the question of the moral legitimacy of the "small sacrifices" of embryos less obvious than the authors' rhetoric would suggest.First, they claim that opponents of such research assume some sort of "super status" for an embryo. The rights generally conceded to born human beings may not be as "weak" as they characterize. But even considering only the "negative right against unwarranted violence," I think the authors misdescribe the situation. Contrary to their assertion, I do not know when "adults and even children are... forced to give life... in the defense or at least interest of the community's highest ideals and most pressing interests" (p. 153). Could they be speaking of capital punishment, justified in the name of protecting the community? But then why mention children?It is true that not everyone can be guaranteed every means to preserving and enhancing life. But this limitation on positive rights is not a "forced giving." Adults may be compelled to risk life--e.g. in a draft for the sake of a war. But, again, the more or less justifiable imposition of a risk is not the same as selecting out one particular individual or class to be directly killed. Neither adults nor born children are compelled to be killed for the sake of organ "donation," even if a greater number might be saved. If one grants equivalent status to the embryo (as the authors seem to do here for the sake of argument), opponents do not have to claim a "super status" for embryos, just the ordinary human right not to be killed even for "compassionate" motives.A second area where I think the authors move too quickly is in their impoverished definition of the essential humanity of the early embryo as exhaustively represented by the physical structure of its DNA. The authors seem to recognize [End Page 103] that, ordinarily, there is more to personhood than sheer physical structure. For example, they mention memories and habits (p. 154). They could also speak of relationships, attitudes, and the like. Since an early embryo has no such components of personality as we experience it, the authors hold that its identity could only be contained in its DNA. Since this DNA is preserved, even spread far and wide, by the use of stem cells, it almost seems as if we are doing the early embryo a favor by breaking it up.However, just because the embryo does not have any conscious memories or other attributes of character or personality, that does not mean its identity is constituted only by its physical structure described statically. The early embryo is not just a bundle of discrete structures, and its DNA is not just an inert lump made up of certain smaller lumps. Both the embryo and its DNA are active. Thus the identity of even an early embryo includes both its current processes and the innate potential for further activity and development. Although lacking a conscious will, the early embryo is already in a sense an agent, already doing things--growing, changing, and heading toward something that... (shrink)

First and 2d ed. published under title: Philosophical psychology. Includes bibliographies.

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.

In the past four or five years I have been especially dependent on Aristotle's writings as I have initiated a series of experiments that can legitimately be called empirical efforts to prove Aristotelian conceptions to be true. In actuality, of course, I am trying to prove my own theory to be true—that is, worthy of consideration because it is consistent with observed human actions. However, by extension, I am surely seeking evidence for Aristotle's image of human cognition. There are two (...) Aristotlelian conceptions that underwrite my theoretical and empirical efforts: predication and opposition. When we speak of a "predication" in cognition we refer to a process that is fundamentally creative. Predications deal in meanings; and the way in which we align meanings, lending the meaning of one concept to another is what predication is all about. Predication is the act of affirming, denying, or qualifying certain patterns of meaning in relation to other patterns of meaning. The second Aristotelian conception that I have been employing theoretically and investigating empirically is "opposition." Although association through frequent contact was recognized by Aristotle , he also appreciated that there is often an intrinsic tie of opposite meanings to be seen in human reason. In my own interpretation of Aristotle, I believe that we can see the ultimate necessity of predication stemming from the opositional ties of meanings like this. If I am cognizing within a congerie of interlacing meanings which relate to and, indeed, delimit the definitions of their opposite meanings, then it is up to me as a cognizer to continually "take a position" on just what I am going to affirm—or not! 2012 APA, all rights reserved). (shrink)

In the past four or five years I have been especially dependent on Aristotle's writings as I have initiated a series of experiments that can legitimately be called empirical efforts to prove Aristotelian conceptions to be true. In actuality, of course, I am trying to prove my own theory to be true—that is, worthy of consideration because it is consistent with observed human actions. However, by extension, I am surely seeking evidence for Aristotle's image of human cognition. There are two (...) Aristotlelian conceptions that underwrite my theoretical and empirical efforts: predication and opposition. When we speak of a "predication" in cognition we refer to a process that is fundamentally creative. Predications deal in meanings; and the way in which we align meanings, lending the meaning of one concept to another is what predication is all about. Predication is the act of affirming, denying, or qualifying certain patterns of meaning in relation to other patterns of meaning. The second Aristotelian conception that I have been employing theoretically and investigating empirically is "opposition." Although association through frequent contact was recognized by Aristotle, he also appreciated that there is often an intrinsic tie of opposite meanings to be seen in human reason. In my own interpretation of Aristotle, I believe that we can see the ultimate necessity of predication stemming from the opositional ties of meanings like this. If I am cognizing within a congerie of interlacing meanings which relate to and, indeed, delimit the definitions of their opposite meanings, then it is up to me as a cognizer to continually "take a position" on just what I am going to affirm—or not! 2012 APA, all rights reserved). (shrink)