Eustathios, in his commentary to Homer's Iliad 768.20–2 preserves two elements of Attic speech which could derive originally from comedy. Although neither of them appears as so much as a conjecture in standard collections, a possibility that they are quotations from a lost comedy merits testing. They may, as it turns out, even be fragments of a comedy by Kratinos. The argument for this possibility rests on a manner Eustathios has of presenting evidence to support his general observations. The pattern (...) is as follows: He will say that such-and-such a usage can be observed among the ancients, and then he will cite an ancient author in whose work he has observed such a phenomenon. A good, simple, short example of this presentation can be found at Eustathios' Commentary to Homer's Odyssey 1419.50–4; λλ κα πλλαξ ξ ο κα παλλακή κα παλλκια δ κατ Aλιν Διονσιον ο παλλήκια ο παδες, στιν ερεν παρ τος παλαιος ο δικαστήριον στοροσιν πνυµον τς Παλλδος. 'Aριστοφνης κων κτεν σε τκνον. δ'πεκρνατο π Παλλαδωι κτλ. (shrink)

This is the text of The Lindley Lecture for 1981, given by Alan Donagan.

This is the text of The Lindley Lecture for 1972, given by Alan Gewirth, an American philosopher.

The dissertation is a critical examination of theory evaluation in population genetics. There are three main philosophical approaches to theory evaluation in philosophy of science: confirmation and hypothesis testing, scientific change, and experimentation. Accounts that champion each of the main philosophical approaches to scientific theory evaluation are represented in philosophy of biology: confirmation and hypothesis testing by Elisabeth A. Lloyd, scientific change by Lindley Darden, and experimentation by David W. Rudge. I argue that each of the main approaches is (...) insufficient for evaluating population genetics theories. However, the accounts I critique are not fundamentally incompatible. I modify, unify, and extend them into a comprehensive account of theory evaluation for population genetics. ;My philosophical analysis is driven by a complex, important, and ongoing controversy in population genetics, viz., the R. A. Fisher-Sewall Wright controversy in population genetics. I use my historical case study to assess the adequacy of both the extant philosophical analyses of theory evaluation and my own account. Between 1929 and 1962 Fisher and Wright debated the main differences emanating from their alternative approaches to evolutionary theorizing. The debates between Fisher and Wright functionally ended with Fisher's death. However, Wright continued to clarify his position in the controversy until his death in 1988, and other biologists have continued work on the core debates. ;Recently, four scientific papers led by biologists Jerry A. Coyne and Michael J. Wade have been key in revisiting and rekindling the Fisher-Wright controversy with analyses of old theoretical and empirical issues as well as new developments that have spun off the older work. Four decades after the debates between Fisher and Wright, these papers have staked out, with substantial disagreement, claims about the evaluative status of the two predominant population genetics approaches to evolution in the field. A further task of this dissertation is to provide a non-partisan evaluation of the last 40 years of work on the controversy, i.e., the controversy since Fisher's death in 1962. It is hoped that such a critical analysis of the controversy will advance it to some extent. (shrink)

The nature of the product to be discovered guides the reasoning to discover it. Biologists and medical researchers often search for mechanisms. The "new mechanistic philosophy of science" provides resources about the nature of biological mechanisms that aid the discovery of mechanisms. Here, we apply these resources to the discovery of mechanisms in medicine. A new diagrammatic representation of a disease mechanism chain indicates both what is known and, most significantly, what is not known at a given time, thereby guiding (...) the researcher and collaborators in discovery. Mechanisms of genetic diseases provide the examples. (shrink)

This innovative book focuses on the development of the gene theory as a case study in scientific creativity.

Reasoning in Biological Discoveries brings together a series of essays, which focus on one of the most heavily debated topics of scientific discovery. Collected together and richly illustrated, Darden's essays represent a groundbreaking foray into one of the major problems facing scientists and philosophers of science. Divided into three sections, the essays focus on broad themes, notably historical and philosophical issues at play in discussions of biological mechanism; and the problem of developing and refining reasoning strategies, including interfield relations and (...) anomaly resolution. Darden summarizes the philosophy of discovery and elaborates on the role that mechanisms play in biological discovery. Throughout the book, she uses historical case studies to extract advisory reasoning strategies for discovery. Examples in genetics, molecular biology, biochemistry, immunology, neuroscience and evolutionary biology reveal the process of discovery in action. (shrink)

Philosophers have proposed various kinds of relations between Mendelian genetics and molecular biology: reduction, replacement, explanatory extension. This paper argues that the two fields are best characterized as investigating different, serially integrated, hereditary mechanisms. The mechanisms operate at different times and contain different working entities. The working entities of the mechanisms of Mendelian heredity are chromosomes, whose movements serve to segregate alleles and independently assort genes in different linkage groups. The working entities of numerous mechanisms of molecular biology are larger (...) and smaller segments of DNA plus related molecules. Discovery of molecular DNA mechanisms filled black boxes that were noted, but unilluminated, by Mendelian genetics. (shrink)

This paper analyzes the generation and function of hitherto ignored or misrepresented interfield theories , theories which bridge two fields of science. Interfield theories are likely to be generated when two fields share an interest in explaining different aspects of the same phenomenon and when background knowledge already exists relating the two fields. The interfield theory functions to provide a solution to a characteristic type of theoretical problem: how are the relations between fields to be explained? In solving this problem (...) the interfield theory may provide answers to questions which arise in one field but cannot be answered within it alone, may focus attention on domain items not previously considered important, and may predict new domain items for one or both fields. Implications of this analysis for the problems of reduction and the unity and progress of science are mentioned. (shrink)

The concept of mechanism is analyzed in terms of entities and activities, organized such that they are productive of regular changes. Examples show how mechanisms work in neurobiology and molecular biology. Thinking in terms of mechanisms provides a new framework for addressing many traditional philosophical issues: causality, laws, explanation, reduction, and scientific change.

Philosophers of science typically associate the causal‐mechanical view of scientific explanation with the work of Railton and Salmon. In this paper I shall argue that the defects of this view arise from an inadequate analysis of the concept of mechanism. I contrast Salmon’s account of mechanisms in terms of the causal nexus with my own account of mechanisms, in which mechanisms are viewed as complex systems. After describing these two concepts of mechanism, I show how the complex‐systems approach avoids certain (...) objections to Salmon’s account of causal‐mechanical explanation. I conclude by discussing how mechanistic explanations can provide understanding by unification. (shrink)

In the 1950s and 1960s, an interfield interaction between molecular biologists and biochemists integrated important discoveries about the mechanism of protein synthesis. This extended discovery episode reveals two general reasoning strategies for eliminating gaps in descriptions of the productive continuity of mechanisms: schema instantiation and forward chaining/backtracking. Schema instantiation involves filling roles in an overall framework for the mechanism. Forward chaining and backtracking eliminate gaps using knowledge about types of entities and their activities. Attention to mechanisms highlights salient features of (...) this historical episode while providing general reasoning strategies for mechanism discovery. (shrink)

This Element offers a new account of the philosophical significance of logical empiricism that relies on the past forty years of literature reassessing the project. It argues that while logical empiricism was committed to empiricism and did become tied to the trajectory of analytic philosophy, neither empiricism nor logical analysis per se was the deepest philosophical commitment of logical empiricism. That commitment was, rather, securing the scientific status of philosophy, bringing philosophy into a scientific conception of the world.

Discovery proceeds in stages of construction, evaluation, and revision. Each of these stages is constrained by what is known or conjectured about what is being discovered. A new characterization of mechanism aids in specifying what is to be discovered when a mechanism is sought. Guidance in discovering mechanisms may be provided by the reasoning strategies of schema instantiation, modular subassembly, and forward/backward chaining. Examples are found in mechanisms in molecular biology, biochemistry, immunology, and evolutionary biology.

This set contains Murray's renowned _English Grammar_, and his textbooks. The unique study of Murray's life and work, by Colin Eaton West is here updated with new notes by David A. Reibel.

The new research program to understand mechanisms in biology has developed rapidly in the last 10 years. Reconsideration of the characterization of mechanisms in biology in the light of this recent work is now in order. This article discusses the perspectival aspect of the characterization of mechanisms, refinements in claims about working entities and kinds of activities, challenges and responses to claims about regularity, productive continuity, and the organizational aspects of a mechanism, and issues about representations of mechanisms in schemas (...) and sketches. †To contact the author, please write to: Committee for Philosophy and the Sciences, Department of Philosophy, 1125A Skinner Building, University of Maryland, College Park, MD 20742 USA; e‐mail: [email protected]. (shrink)

Discovery proceeds in stages of construction, evaluation, and revision. Each of these stages is constrained by what is known or conjectured about what is being discovered. A new characterization of mechanism aids in specifying what is to be discovered when a mechanism is sought. Guidance in discovering mechanisms may be provided by the reasoning strategies of schema instantiation, modular subassembly, and forward/backward chaining. Examples are found in mechanisms in molecular biology, biochemistry, immunology, and evolutionary biology.

Selection type theories solve adaptation problems. Natural selection, clonal selection for antibody production, and selective theories of higher brain function are examples. An abstract characterization of typical selection processes is generated by analyzing and extending previous work on the nature of natural selection. Once constructed, this abstraction provides a useful tool for analyzing the nature of other selection theories and may be of use in new instances of theory construction. This suggests the potential fruitfulness of research to find other theory (...) types and construct their abstractions. (shrink)

We are all concerned by the environmental threats facing us today. Environmental issues are a major area of concern for policy makers, industrialists and public groups of many different kinds. While science seems central to our understanding of such threats, the statements of scientists are increasingly open to challenge in this area. Meanwhile, citizens may find themselves labelled as "ignorant" in environmental matters. In Citizen Science Alan Irwin provides a much needed route through the fraught relationship between science, the (...) public and the environmental threat. (shrink)

This note discusses lecture plates at the Hugo de Vries Laboratorium that may be relevant to Hugo de Vries's claim to have independently discovered Mendel's law of segregation. Dating when the plates were made is problematic.

Co-published with the University of Queensland Press. HPC holds rights in North America and U. S. Dependencies. Since its first publication in 1976, Alan Chalmers's highly regarded and widely read work--translated into eighteen languages--has become a classic introduction to the scientific method, known for its accessibility to beginners and its value as a resource for advanced students and scholars. In addition to overall improvements and updates inspired by Chalmers's experience as a teacher, comments from his readers, and recent developments (...) in the field, this fourth edition features an extensive chapter-long postscript that draws on his research into the history of atomism to illustrate important themes in the philosophy of science. Identifying the qualitative difference between knowledge of atoms as it figures in contemporary science and metaphysical speculations about atoms common in philosophy since the time of Democritus offers a revealing and instructive way to address the question at the heart of this groundbreaking work: What is this thing called science? (shrink)

A comprehensive, systematic, and historical collection of essays on Rudolf Carnap's philosophy and legacy, written by leading international experts. This volume provides a redressing of Carnap's place in the history of analytic philosophy, through his approach to metaphysics, values, politics, epistemology and philosophy of science.

ABSTRACT: So far in this book, we have examined algorithmic decision systems from three autonomy-based perspectives: in terms of what we owe autonomous agents (chapters 3 and 4), in terms of the conditions required for people to act autonomously (chapters 5 and 6), and in terms of the responsibilities of agents (chapter 7). -/- In this chapter we turn to the ways in which autonomy underwrites democratic governance. Political authority, which is to say the ability of a government to exercise (...) power, may be justifiable or not. Whether it is justified and how it can come to be justified is a question of political legitimacy. Political legitimacy is another way in which autonomy and responsibility are linked. This relationship is the basis of the current chapter, and it is important in understanding the moral salience of algorithmic systems. We will draw the connection as follows. We begin, in section 8.1, by describing two uses of technology: crime predicting technology used to drive policing practices and social media technology used to influence elections (including by Cambridge Analytica and by the Internet Research Agency). In section 8.2 we consider several views of legitimacy and argue for a hybrid version of normative legitimacy based on one recently offered by Fabienne Peter. In section 8.3 we will explain that the connection between political legitimacy and autonomy is that legitimacy is grounded in legitimating processes, which are in turn based on autonomy. Algorithmic systems—among them PredPol and the Cambridge Analytica-Facebook-Internet Research Agency amalgam—can hinder that legitimation process and conflict with democratic legitimacy, as we argue in section 8.4. We will conclude by returning to several cases that serve as through-lines to the book: Loomis, Wagner, and Houston Schools. -/- The link below is to an open-access copy of the chapter. (shrink)

A conception of recognitional abilities and perceptual-discriminative abilities is deployed to make sense of how perceptual experiences enable us to make cognitive contact with objects and facts. It is argued that accepting the emerging view does not commit us to thinking that perceptual experiences are essentially relational, as they are conceived to be in disjunctivist theories. The discussion explores some implications for the theory of knowledge in general and, in particular, for the issue of how we can shed light on (...) the nature of knowledge is if we do not aim to provide conceptual analyses of knowledge in terms of true belief plus something else. Consideration is also given how we can best make sense of the practical value that knowledge has for us. (shrink)

David Hume's claim that necessary connection is essential to causality was at the expense of a useful causal distinction we sometimes note with the words ‘necessity’ and ‘contingency’. And since, as J. L. Mackie has stated, Hume made ‘the most significant and influential single contribution to the theory of causation’, subsequent writers on causality, regardless of their support for, or opposition to, Hume, have joined him in trampling this distinction. The object of this paper is not so much to undermine (...) one of Hume's conclusions as it is to describe a use of ‘necessary’ that, while surviving in popular usage, is ignored or obfuscated in the literature on causality. (shrink)

This paper examines the hypothesis that analogies may play a role in the generation of new ideas that are built into new explanatory theories. Methods of theory construction by analogy, by failed analogy, and by modular components from several analogies are discussed. Two different analyses of analogy are contrasted: direct mapping (Mary Hesse) and shared abstraction (Michael Genesereth). The structure of Charles Darwin's theory of natural selection shows various analogical relations. Finally, an "abstraction for selection theories" is shown to be (...) the structure of a number of theories. (shrink)

Since its first publication in 1976, Alan Chalmers's highly regarded and widely read work--translated into eighteen languages--has become a classic introduction to the scientific method, known for its accessibility to beginners and its value as a resource for advanced students and scholars. -- Amazon.com.

Algorithmic systems and predictive analytics play an increasingly important role in various aspects of modern life. Scholarship on the moral ramifications of such systems is in its early stages, and much of it focuses on bias and harm. This paper argues that in understanding the moral salience of algorithmic systems it is essential to understand the relation between algorithms, autonomy, and agency. We draw on several recent cases in criminal sentencing and K–12 teacher evaluation to outline four key ways in (...) which issues of agency, autonomy, and respect for persons can conflict with algorithmic decision-making. Three of these involve failures to treat individual agents with the respect they deserve. The fourth involves distancing oneself from a morally suspect action by attributing one’s decision to take that action to an algorithm, thereby laundering one’s agency. (shrink)