Alex Rosenberg

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 paper argues that the evident features of all human affairs of interest to the social scientist demand Darwinian explanations. It must however be recognized that the range of regularities, models, theories that a successful Darwinian research program will inspire must be heterogeneous, operate at very different scales, identify a diversity of distinct and often unrepeated processes operating through multifarious instances of blind variation and environmental selection. There will be no canonical statement of a Darwinian theory of cultural and/or social affairs.

Philosophers have traditionally decried vagueness as an unmitigated evil, and natural scientists have consistently agreed with them. Nevertheless, as I hope to show, the vagueness of scientific terms has some important advantages for the theories in which these terms figure. In so arguing I do not mean to put the best face on some unpleasant facts or to make a virtue out of a necessity. I shall begin, however, by arguing that on some contemporary accounts of scientific language the vagueness of many scientific terms is unavoidable; if it is unavoidable then lamenting it is futile, and justifying it is idle. I shall go on to argue that, independent of these accounts, the advantages of exactness attained can sometimes be substantially outweighed by the disadvantages of vagueness foregone.

Reductionism is a widely endorsed methodology among biologists, a metaphysical theory advanced to vindicate the biologist's methodology, and an epistemic thesis those opposed to reductionism have been eager to refute. While the methodology has gone from strength to strength in its history of achievements, the metaphysical thesis grounding it remained controversial despite its significant changes over the last 75 years of the philosophy of science. Meanwhile, antireductionism about biology, and especially Darwinian natural selection, became orthodoxy in philosophy of mind, philosophy of science, and philosophy of biology. This Element expounds the debate about reductionism in biology, from the work of the post-positivists to the end of the century debates about supervenience, multiple realizability, and explanatory exclusion. It shows how the more widely accepted 21st century doctrine of 'mechanism' - reductionism with a human face - inherits both the strengths and the challenges of the view it has largely supplanted.

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.

In The Structure of Biological Science I argued that the theory of natural selection is a statistical theory for reasons much like those which makes thermodynamics a statistical theory. In particular, the theory claims that fitness differences are large enough and the life span of species long enough for increases in average fitness always to appear in the long run; and this claim, I held, is of the same form as the statistical version of the second law of thermodynamics.For the latter law also makes a claim about the long run, and its statistical character is due to this claim: thermodynamic systems must in the long run approach an equilibrium level of organization that maximizes entropy. Over finite times, given local boundary conditions, an isolated mechanical system, like the molecules in a container of gas, may sometimes interact so as to move the entropy of the system further from, instead of closer to the equilbrium level. But given enough interacting bodies, and enough time, the system will always eventually move in the direction prescribed by the law. Thus, we can attach much higher probabilities to the prediction that non-equilibrium systems will reflect greater entropy in future periods than we can to predictions that they will move in the opposite direction. And as we increase the amount of time and the number of bodies interacting, the strength of the probability we can attach to the prediction becomes greater and greater.

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

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

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

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