Alex Rosenberg

This comprehensive anthology draws together writings by leading philosophers on the philosophy of science. Each section is prefaced by an introductory essay from the editors, guiding students gently into the topic. Accessible and wide-ranging, the text draws on both contemporary and twentieth century sources. The readings are designed to complement Alex Rosenberg's textbook, _Philosophy of Science: A Contemporary Introduction_, but can also serve as a stand-alone volume in any philosophy of science course. Includes readings from the following leading philosophers: Achinstein, Anderson, Bloor, Earman, Feyerabend, Gutting, Hanson, Hempel, Kitcher, Kuhn, Laudan, Leplin, Mackie, McMullin, Nagel, Popper, Quine, Rosenberg, Russell, Salmon, Schlick, Shapere, Van Fraassen.

There is only one physically possible process that builds and operates purposive systems in nature: natural selection. What it does is build and operate systems that look to us purposive, goal directed, teleological. There really are not any purposes in nature and no purposive processes ether. It is just one vast network of linked causal chains. Darwinian natural selection is the only process that could produce the appearance of purpose. That is why natural selection must have built and must continually shape the intentional causes of purposive behavior. Fodor’s argument against Darwinian theory involves a biologist’s modus tollens which is a cognitive scientist’s modus ponens. Assuming his argument is valid, the right conclusion is not that Darwin’s theory is mistaken but that Fodor’s and any other non-Darwinian approaches to the mind are wrong. It shows how getting things wrong in the philosophy of biology leads to mistaken conclusions with the potential to damage the acceptance of a theory with harmful consequences for human well-being. Fodor has shown that the real consequence of rejecting a Darwinian approach to the mind is to reject a Darwinian theory of phylogenetic evolution. This forces us to take seriously a notion that otherwise would not have much of a chance: that when it comes to the nature of mental states, indeterminacy rules. This is an insight that should have the most beneficial impact on freeing cognitive neuroscience from demands on the adequacy of its theories that it could never meet

Employing a well-known local regularity from macroeconomics, the Phillips curve, I examine Woodward’s ([2000], [2003]) account of the explanatory power of such historically restricted generalizations and the mathematical models with which they are sometimes associated. The article seeks to show that, pace Woodward, to be explanatory such generalizations need to be underwritten by more fundamental ones, and that rational choice theory would not avail in this case to provide the required underwriting. Examining how such explanatory restricted regularities are underwritten in biology—by unrestricted Darwinian regularities—provides the basis for an argument that Darwinian regularities serve the same function in human affairs. The general argument for this claim requires, inter alia , that we accept some version or other of a theory of memes. The article concludes by clearing the field of some prominent objections to the existence of memes, and extracting some policy implications from the persistence and acceleration of arms races in human affairs

Genocentrism, the thesis that the genes play a special role in the causation of development is often rejected in favor of a 'causal democracy thesis' to the effect that all causally necessary conditions for development are equal. Genocentrists argue that genes play a distinct causal role owing to their informational content and that this content enables them to program the embryo. I show that the special causal role of the genome hinges not on its informational status — it has none, or at least no more than computer programs have independent of our interpretations of them — but on its power literally to program the embryo, a power nicely illustrated in the use of polynucleotide sequences to compute solutions to NP hard problems in mathematics

This paper argues that the consensus physicalist antireductionism in the philosophy of biology cannot accommodate the research strategy or indeed the recent findings of molecular developmental biology. After describing Wolperts programmatic claims on its behalf, and recent work by Gehring and others to identify the molecular determinants of development, the paper attempts to identify the relationship between evolutionary and developmental biology by reconciling two apparently conflicting accounts of bio-function – Wrights and Nagels (as elaborated by Cummins). Finally, the paper seeks a way of defending the two central theses of physicalist antireductionism in the light of the research program of molecular developmental biology, by sharply reducing their metaphysical force.

It is widely held that (1) there are autonomous levels of organization above that of the macromolecule and that (2) at least sometimes macromolecular processes are best explained in terms of such autonomous kinds. I argue that molecular developmental biology honors neither of these claims, and I show that the only way they can be rendered consistent with a minimal physicalism is through the adoption of controversial claims about causation and explanation which undercut the force of these two antireductionism claims

The Routledge Companion to Philosophy of Social Science is an outstanding guide to the major themes, movements, debates, and topics in the philosophy of social science. It includes thirty-seven newly written chapters, by many of the leading scholars in the field, as well as a comprehensive introduction by the editors. Insofar as possible, the material in this volume is presented in accessible language, with an eye toward undergraduate and graduate students who may be coming to some of this material for the first time. Scholars too will appreciate this clarity, along with the chance to read about the latest advances in the discipline. The Routledge Companion to Philosophy of Social Science is broken up into four parts. Historical and Philosophical Context Concepts Debates Individual Sciences Edited by two of the leading scholars in the discipline, this volume is essential reading for anyone interested in the philosophy of social science, and its many areas of connection and overlap with key debates in the philosophy of science

I note the multitude of ways in which, beginning with the classic paper by Machamer et al., the mechanists have qualify their methodological dicta, and limit the vulnerability of their claims by strategic vagueness regarding their application. I go on to generalize a version of the mechanist requirement on explanations due to Craver and Kaplan :601–627, 2011) in cognitive and systems neuroscience so that it applies broadly across the life sciences in accordance with the view elaborated by Craver and Darden in In Search of Mechanisms. I then go on to explore what ramifications their mechanist requirement on explanations may have for explanatory “dependencies” reported in biology and the special sciences. What this exploration suggests is that mechanism threatens to eliminate instead of underwrite a large number of such “dependencies” reported in higher-levels of biology and the special sciences. I diagnose the source of this threat in mechanism’s demand that explanations identify nested causal differences makers in mechanisms, their components, the components further components, and so forth. Finally, I identify the “love–hate” relationship mechanism must have with functional explanation, and show how it makes mechanism an extremely interesting thesis indeed.

The administrators of the human genome project were eager to stimulate public discussion, academic debate, legal and legislative deliberation of how individuals and institutions should respond to the revolution in genomics. Paramount among the issues whose discussion they encouraged are three obvious matters: The threat which access to our genetic information poses for heath insurance, employment, and social discrimination the nefarious consequences for scientific advance of turning basic scientific discoveries about genomes into private property The permissibility of prenatal genetic screening, germline therapy, cloning and other in- vitro reproductive processes. It should not be surprising that there is a great deal of uniformity of views about most of the problems that come under these three headings. For they do not raise issues different in kind from those we faced in bioethics before the genomic revolution. Even starting from divergent moral theories, by and large people have come to broadly similar conclusions about which newly available choices are morally permissible and which are not. Our moral intuitions and articulated moral theory have stood us in good stead, providing substantial grounds for disapproving new genomically inspired examples of old practices–like eugenics, the paternalism of health-care experts, and the sacrifice of individual rights to..

By developing an elaborate allegory, this paper attempts to show that the advertised aim of the Human Genome project, to sequence the entire 3 billion base pair primary sequence of the nucleic acid molecules that constitute the human genome, does not make scientific sense. This raises the questions of what the real aim of the project could be, and why the molecular biological community has chosen to offer the primary sequence as the objective to be funded, when identifying functionally important sub-regions of the genetic material is both far more useful and independently attainable an aim.

Is life a purely physical process? What is human nature? Which of our traits is essential to us? In this volume, Daniel McShea and Alex Rosenberg – a biologist and a philosopher, respectively – join forces to create a new gateway to the philosophy of biology; making the major issues accessible and relevant to biologists and philosophers alike. Exploring concepts such as supervenience; the controversies about genocentrism and genetic determinism; and the debate about major transitions central to contemporary thinking about macroevolution; the authors lay out the broad terms in which we should assess the impact of biology on human capacities, social institutions and ethical values.

This article argues that at least very many judgments of homology rest on prior attributions of selected‐effect (SE) function, and that many of the “parts” of biological systems that are rightly classified as homologous are constituted by (are so classified in virtue of) their consequence etiologies. We claim that SE functions are often used in the prior identification of the parts deemed to be homologous and are often used to differentiate more restricted homologous kinds within less restricted ones. In doing so, we discuss recent criticism of this view that has been offered (especially that offered by Paul Griffiths). *Received July 2007; revised November 2008. †To contact the authors, please write to: Department of Philosophy, 201 West Duke Building, Box 90743, Durham, NC 27708; e‐mail: [email protected] or [email protected].

Philosophers of biology have been absorbed by the problem of defining evolutionary fitness since Darwin made it central to biological explanation. The apparent problem is obvious. Define fitness as some biologists implicitly do, in terms of actual survival and reproduction, and the principle of natural selection turns into an empty tautology: those organisms which survive and reproduce in larger numbers, survive and reproduce in larger numbers. Accordingly, many writers have sought to provide a definition for ‘fitness’ which avoid this outcome. In particular the definition of fitness as a probabilistic propensity has been widely favored.1 Others, recognizing that no definition both correct and complete can actually be provided, have accepted the consequence that the leading principle of the theory is a definitional truth and attempted to mitigate the impact of this outcome for the empirical character of the theory.2 Still others have argued that ‘fitness’ is properly viewed as a term undefined in the theory of natural selection (on the model of mass—a term undefined in Newtonian mechanics).3 But few have contemplated the solution to this problem proposed by Mohan Matthen and André Ariew (hereafter, MA), in..

The issue of whether there are laws in biology and the “special science”1 has been of interest owing to the debate about whether scientific explanation requires laws. A well-warn argument goes thus: no laws in social science, no explanations, or at least no scientific explanations, at most explanation-sketches. The conclusion is not just a matter of labeling. If explanations are not scientific they are not epistemically or practically reliable. There are at least three well-known diagnoses of where this argument goes wrong. First, the argument that there are no laws in social science adopts an account of laws that is too stringent, one that not even the physical sciences satisfy (Cartwright 1983, Mitchell 2000). On a less stringent definition, there are plenty of laws in social science (and biology). These laws are, sensu Fodor, “non-strict,” as opposed to the “strict laws” (if any—vide Cartwright 1983) of physics. Second, scientific explanation does not require laws, and when laws do explain, they do so because they satisfy some other requirement on scientific explanation, for example unification, or the identification of causal difference-makers (Friedman 1974, Kitcher 1989, Salmon 1984, Strevens 2009). A third view, increasingly attractive among philosophers of social science and biology is due to James Woodward (2000, 2003). This view, like the second one eschews laws and identifies causes as difference makers. On this view explanations do require regularities, but these regularities need only satisfy a requirement of “invariance” under certain specified circumstances, in order to be explanatory, and..

The paper argues that substantial support for Soros' claims about uncertainty and reflexivity in economics and human affairs generally are provided by the operation of both factors in the biological domain to produce substantially the same processes which have been recognized by ecologists and evolutionary biologists. In particular predator prey relations have their sources in uncertainty – i.e. the random character of variations, and frequency dependent co-evolution – reflexivity. The paper argues that despite Soros' claims, intentionality is not required to produce these phenomena, and that where it does so, in the human case, it provides no basis to deny a reasonable thesis of the methodological or causal unity of science. The argument for this conclusion is developed by starting with a biological predator/prey relation and successively introducing intentional components without affecting the nature of the process. Accepting the conclusion of this argument provides substantial additional inductive support for Soros' theory in its economic application

The social sciences must be biological ones, owing simply to the fact that they focus on the causes and effects of the behavior of members of a biological species, Homo sapiens. Our improved understanding of biology as a science and of the biological realm should enable us therefore to solve several of the outstanding problems of the philosophy of social science. The solution to these problems leaves most of the social and behavioral sciences pretty much as it finds them, though it does provide improved understanding of their scope, limits, and methods. Key Words: biology • natural selection • Darwinism • models • narratives • history.

An examination of the foundations of Elliot Sober's philosophy of biology as reflected in his introductory textbook of that title reveals substantial and controversial philosophical commitments. Among these are the claim that all understanding is historical, the assertion that there are biological laws but they are necessary truths, the view that the fundamental theory in biology is a narrative, and the suggestion that biology adverts to ungrounded probabilistic propensities of the sort to be met with elsewhere only in quantum mechanics