We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induction from intuitions about an infinitesimal fraction of the possible examples and counterexamples; (2) cases with larger numbers of causes generate novel puzzles; (3) “neuron” and causal Bayes net diagrams are, as deployed in discussions of actual causation, almost always ambiguous; (4) actual causation is (intuitively) relative to an initial system state since state changes are relevant, but (...) most current accounts ignore state changes through time; (5) more generally, there is no reason to think that philosophical judgements about these sorts of cases are normative; but (6) there is a dearth of relevant psychological research that bears on whether various philosophical accounts are descriptive. Our skepticism is not directed towards the possibility of a correct account of actual causation; rather, we argue that standard methods will not lead to such an account. A different approach is required. Once upon a time a hungry wanderer came into a village. He filled an iron cauldron with water, built a fire under it, and dropped a stone into the water. “I do like a tasty stone soup” he announced. Soon a villager added a cabbage to the pot, another added some salt and others added potatoes, onions, carrots, mushrooms, and so on, until there was a meal for all. (shrink)
By combining experimental interventions with search procedures for graphical causal models we show that under familiar assumptions, with perfect data, N - 1 experiments suffice to determine the causal relations among N > 2 variables when each experiment randomizes at most one variable. We show the same bound holds for adaptive learners, but does not hold for N > 4 when each experiment can simultaneously randomize more than one variable. This bound provides a type of ideal for the measure of (...) success of heuristic approached in active learning methods of casual discovery, which currently use less informative measures. (shrink)
Models that fail to satisfy the Markov condition are unstable because changes in state variable values may cause changes in the values of background variables, and these changes in background lead to predictive error. Such error arises because non‐Markovian models fail to track the causal relations generating the values of response variables. This has implications for discussions of the level of selection: under certain plausible conditoins most standard models of group selection will not satisfy the Markov condition when fit to (...) data from real populations. These models neither correctly represent the causal structure generating nor correctly explain the phenomena of interest. †To contact the author, please write to: BruceGlymour, Department of Philosophy, 201 Dickens Hall, Kansas State University, Manhattan KS, 66506; e‐mail: glymour@ksu.edu. (shrink)
Since the introduction of mathematical population genetics, its machinery has shaped our fundamental understanding of natural selection. Selection is taken to occur when differential fitnesses produce differential rates of reproductive success, where fitnesses are understood as parameters in a population genetics model. To understand selection is to understand what these parameter values measure and how differences in them lead to frequency changes. I argue that this traditional view is mistaken. The descriptions of natural selection rendered by population genetics models are (...) in general neither predictive nor explanatory and introduce avoidable conceptual confusions. I conclude that a correct understanding of natural selection requires explicitly causal models of reproductive success. *Received May 2006; revised December 2006. †To contact the author, please write to: Department of Philosophy, Kansas State University, 201 Dickens Hall, Manhattan, KS 66506; e‐mail: glymour@ksu.edu . (shrink)
Glymour (Philos Sci 73:369–389, 2006) claims that classical population genetic models can reliably predict short and medium run population dynamics only given information about future fitnesses those models cannot themselves predict, and that in consequence the causal, ecological models which can predict future fitnesses afford a more foundational description of natural selection than do population genetic models. This paper defends the first claim from objections offered by Gildenhuys (Biol Philos, 2011).
This survey presents some of the main principles involved in discovering causal relations. They belong to a large array of possible assumptions and conditions about causal relations, whose various combinations limit the possibilities of acquiring causal knowledge in different ways. How much and in what detail the causal structure can be discovered from what kinds of data depends on the particular set of assumptions one is able to make. The assumptions considered here provide a starting point to explore further the (...) foundations of causal discovery procedures, and how they can be improved. (shrink)
I argue that the orthodox account of probabilistic causation, on which probabilistic causes determine the probability of their effects, is inconsistent with certain ontological assumptions implicit in scientific practice. In particular, scientists recognize the possibility that properties of populations can cause the behavior of members of the populations. Such emergent population‐level causation is metaphysically impossible on the orthodoxy.
Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian about learning and inference. Bayesian models in cognitive science derive their appeal from their normative claim that the modeled inference is in some sense rational. Standard accounts of the rationality of Bayesian inference imply predictions that an agent selects the option that maximizes the (...) posterior expected utility. Experimental confirmation of the models, however, has been claimed because of groups of agents that probability match the posterior. Probability matching only constitutes support for the Bayesian claim if additional unobvious and untested (but testable) assumptions are invoked. The alternative strategy of weakening the underlying notion of rationality no longer distinguishes the Bayesian model uniquely. A new account of rationality—either for inference or for decision-making—is required to successfully confirm Bayesian models in cognitive science. (shrink)
Hans Reichenbach is well known for his limiting frequency view of probability, with his most thorough account given in The Theory of Probability in 1935/1949. Perhaps less known are Reichenbach’s early views on probability and its epistemology. In his doctoral thesis from 1915, Reichenbach espouses a Kantian view of probability, where the convergence limit of an empirical frequency distribution is guaranteed to exist thanks to the synthetic a priori principle of lawful distribution. Reichenbach claims to have given a purely objective (...) account of probability, while integrating the concept into a more general philosophical and epistemological framework. A brief synopsis of Reichenbach’s thesis and a critical analysis of the problematic steps of his argument will show that the roots of many of his most influential insights on probability and causality can be found in this early work. (shrink)
Oaksford & Chater (O&C) aim to provide teleological explanations of behavior by giving an appropriate normative standard: Bayesian inference. We argue that there is no uncontroversial independent justification for the normativity of Bayesian inference, and that O&C fail to satisfy a necessary condition for teleological explanations: demonstration that the normative prescription played a causal role in the behavior's existence.
Bogen and Woodward (1988) advance adistinction between data and phenomena. Roughly, theformer are the observations reported by experimentalscientists, the latter are objective, stable featuresof the world to which scientists infer based onpatterns in reliable data. While phenomena areexplained by theories, data are not, and so theempirical basis for an inference to a theory consistsin claims about phenomena. McAllister (1997) hasrecently offered a critique of their version of thisdistinction, offering in its place a version on whichphenomena are theory laden, and hence (...) on which theempirical support for inferences to theories is also,unavoidably, theory laden. In this commentary I arguethat McAllister and Bogen and Woodward are mistaken inthinking that the distinction is necessary, and thatthe empirical support for inferences to theories isnot necessarily theory laden in the way McAllister'saccount entails they are. (shrink)
The literature on causal discovery has focused on interventions that involve randomly assigning values to a single variable. But such a randomized intervention is not the only possibility, nor is it always optimal. In some cases it is impossible or it would be unethical to perform such an intervention. We provide an account of ‘hard' and ‘soft' interventions and discuss what they can contribute to causal discovery. We also describe how the choice of the optimal intervention(s) depends heavily on the (...) particular experimental setup and the assumptions that can be made. ‡The first author is funded by the Causal Learning Collaborative Initiative supported by the James S. McDonnell Foundation. Many aspects of this paper were inspired by discussions with members of the collaborative. †To contact the authors, please write to: Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213; e-mail: fde@cmu.edu and scheines@cmu.edu. (shrink)
argues that correlated interactions are necessary for group selection. His argument turns on a particular procedure for measuring the strength of selection, and employs a restricted conception of correlated interaction. It is here shown that the procedure in question is unreliable, and that while related procedures are reliable in special contexts, they do not require correlated interactions for group selection to occur. It is also shown that none of these procedures, all of which employ partial regression methods, are reliable when (...) correlated interactions of a specific kind arise, and it is argued that such correlated interactions will likely be ubiquitous in natural populations. Introduction Process and Product Fitness, Mean Fitness, and Phenotypic Change Correlated Interactions Causation Implications CiteULike Connotea Del.icio.us What's this? (shrink)
I argue that results from foraging theory give us good reason to think some evolutionary phenomena are indeterministic and hence that evolutionary theory must be probabilistic. Foraging theory implies that random search is sometimes selectively advantageous, and experimental work suggests that it is employed by a variety of organisms. There are reasons to think such search will sometimes be genuinely indeterministic. If it is, then individual reproductive success will also be indeterministic, and so too will frequency change in populations of (...) organisms employing such search. (shrink)
We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an “outcome”. In particular, we present various approaches to resolve conflicts in the experimental results arising from sampling variability in the experiments. We provide a sufficient condition that allows for pooling of data from experiments with different joint distributions over the variables. Satisfaction of the condition allows for an independence test (...) with greater sample size that may resolve some of the conflicts in the experimental results. The pooling condition has its own problems, but should—due to its generality—be informative to techniques for meta-analysis. (shrink)
Standard models of statistical explanation face two intractable difficulties. In his 1984 Salmon argues that because statistical explanations are essentially probabilistic we can make sense of statistical explanation only by rejecting the intuition that scientific explanations are contrastive. Further, frequently the point of a statistical explanation is to identify the etiology of its explanandum, but on standard models probabilistic explanations often fail to do so. This paper offers an alternative conception of statistical explanations on which explanations of the frequency of (...) a property consist in the derivation of that frequency from a statistical specification of the mechanism by which instances of the relevant property are produced. Such explanations are contrastive precisely because they identify the determinate causal etiologies of their explananda. (shrink)
Sober (1984) presents an account of selection motivated by the view that one property can causally explain the occurrence of another only if the first plays a unique role in the causal production of the second. Sober holds that a causal property will play such a unique role if it is a population level cause of its effect, and on this basis argues that there is selection for a trait T only if T is a population level cause of survival (...) and reproductive success. Sterelny and Kitcher (1988) claim against Sober that some traits directly subject to selection will not satisfy the probabilistic condition on population level causation. In this paper I show that Sober has the resources to resist the Sterelny-Kitcher complaint, but I argue that not all traits that satisfy the probabilistic condition play the required unique role in the production of their effects. (shrink)
Lennox and Wilson (1994) critique dispositional accounts of selection on the grounds that such accounts will class evolutionary events as cases of selection whether or not the environment constrains population growth. Lennox and Wilson claim that pure r-selection involves no environmental checks on growth, and that accounts of natural selection ought to distinguish between the two sorts of cases. I argue that Lennox and Wilson are mistaken in claiming that pure r-selection involves no environmental checks, but suggest that two related (...) cases support their substantive complaint, namely that dispositional accounts of selection have resources insufficient for making important distinctions in causal structure. (shrink)
Twenty years ago, Nancy Cartwright wrote a perceptive essay in which she clearly distinguished causal relations from associations, introduced philosophers to Simpson’s paradox, articulated the difficulties for reductive probabilistic analyses of causation that flow from these observations, and connected causal relations with strategies of action (Cartwright 1979). Five years later, without appreciating her essay, I and my (then) students began to develop formal representations of causal and probabilistic relations, which, subsequently informed by the work of computer scientists and statisticians, led (...) eventually to a practical theory of causal inference and prediction, a theory incorporating some of the sensibilities Cartwright had voiced (Glymour et al. 1987; Spirtes et al. 1993). That theory, and ideas related to it, have become a subfield of computer science with contributions far deeper than mine from many sources, and its inferential and predictive techniques have been successfully applied in biology, economics, educational research, geology and space physics. (shrink)
In "The Epistemology of Geometry" Glymour proposed a necessary structural condition for the synonymy of two space-time theories. David Zaret has recently challenged this proposal, by arguing that Newtonian gravitational theory with a flat, non-dynamic connection (FNGT) is intuitively synonymous with versions of the theory using a curved dynamical connection (CNGT), even though these two theories fail to satisfy Glymour's proposed necessary condition for synonymy. Zaret allowed that if FNGT and CNGT were not equally well (bootstrap) tested by (...) the relevant phenomena, the two theories would in fact not be synonymous. He argued, however, that when electrodynamic phenomena are considered, the two theories are equally well tested. We show that it is not FNGT and CNGT which are equally well tested when the electrodynamic phenomena are considered, but only suitable extensions of FNGT and CNGT. Thus, there is good reason to consider FNGT and CNGT to be non-synonymous. We further show that the two extensions of FNGT and CNGT which are equally well tested when electrodynamic phenomena are considered (and which could be considered intuitively synonymous) not only satisfy Glymour's original proposed necessary condition for the synonymy of space-time theories, they satisfy a plausible stronger condition as well. (shrink)
In this paper we present six criteria for assessing proposed solutions to environmental risk problems. To assess the final criterion-the criterion of ethical responsibility-we suggest another series of criteria. However, before these criteria can be used to address ethical problems, business persons must be wiIling to discuss the problem in ethical terms. Yet many decision makers are unwilling to do so. Drawing on research by James Waters and Frederick Bird, we discuss this “moral muteness”-the inability or unwillingness to use (...) morallanguage to solve moral problems-and suggest some underlying causes of moral muteness. (shrink)
We argue that current discussions of criteria for actual causation are ill-posed in several respects. (1) The methodology of current discussions is by induction from intuitions about an infinitesimal fraction of the possible examples and counterexamples; (2) cases with larger numbers of causes generate novel puzzles; (3) “neuron” and causal Bayes net diagrams are, as deployed in discussions of actual causation, almost always ambiguous; (4) actual causation is (intuitively) relative to an initial system state since state changes are relevant, but (...) most current accounts ignore state changes through time; (5) more generally, there is no reason to think that philosophical judgements about these sorts of cases are normative; but (6) there is a dearth of relevant psychological research that bears on whether various philosophical accounts are descriptive. Our skepticism is not directed towards the possibility of a correct account of actual causation; rather, we argue that standard methods will not lead to such an account. A different approach is required. Once upon a time a hungry wanderer came into a village. He filled an iron cauldron with water, built a fire under it, and dropped a stone into the water. “I do like a tasty stone soup” he announced. Soon a villager added a cabbage to the pot, another added some salt and others added potatoes, onions, carrots, mushrooms, and so on, until there was a meal for all. (shrink)
Contemporary cognitive neuropsychology attempts to infer unobserved features of normal human cognition, or ?cognitive architecture?, from experiments with normals and with brain-damaged subjects in whom certain normal cognitive capacities are altered, diminished, or absent. Fundamental methodological issues about the enterprise of cognitive neuropsychology concern the characterization of methods by which features of normal cognitive architecture can be identified from such data, the assumptions upon which the reliability of such methods are premised, and the limits of such methods?even granting their assumptions?in (...) resolving uncertainties about that architecture. With some idealization, the question of the capacities of various experimental designs in cognitive neuropsychology to uncover cognitive architecture can be reduced to comparatively simple questions about the prior assumptions investigators are willing to make. This paper presents some of simplest of those reductions. 1Research for this paper was made possible by a fellowship from the John Simon Guggenheim Memorial Foundation and by grant number SBE-9212264 from the National Science Foundation. I thank Martha Farah for teaching me what little I know of cognitive neuropsychology, Jeffrey Bub for stimulating me to think about these issues and for commenting on drafts of this paper, and Peter Slezak for additional comments. Alfonso Caramazza and Michael McCloskey provided very helpful comments on a second draft. (shrink)
Ethical guidelines for multinational corporations are included in several international accords adopted during the past four decades. These guidelines attempt to influence the practices of multinational enterprises in such areas as employment relations, consumer protection, environmental pollution, political participation, and basic human rights. Their moral authority rests upon the competing principles of national sovereignty, social equity, market integrity, and human rights. Both deontological principles and experience-based value systems undergird and justify the primacy of human rights as the fundamental moral authority (...) of these transnational and transcultural compacts. Although difficulties and obstacles abound in gaining operational acceptance of such codes of conduct, it is possible to argue that their guidelines betoken the emergence of a transcultural corporate ethic. (shrink)
. This paper explores the relationship between gift giving, guanxi and corruption through a study of the relationships between UK manufacturing companies in China and their local component suppliers. The analysis is based on interviews in the China-based operations of 49 UK companies. Interviews were carried out both with senior (often expatriate) staff and with local line managers who were responsible for everyday purchasing decisions and for managing relationships with suppliers. The results suggest that gift giving is perceived to be (...) a significant problem in UK-owned companies in China. However the relationship between these payments and established understanding of gift giving within guanxi-networks appears to be weak. Gift giving appears to be associated with illicit payments, corruption and the pursuit of self-interest. Firms seek to reduce the incidence of illicit transactions by changing staff roles, instituting joint responsibilities, which include the separation of different aspects of sourcing/purchasing, ineasing the involvement of senior staff in the process and through the education of employee and suppliers. (shrink)
In this paper we consider whether one type of individual investor, which we call at risk investors, should be denied access to securities markets to prevent them from suffering serious financial harm. We consider one kind of paternalistic justification for prohibiting at risk investors from participating in securities markets, and argue that it is not successful. We then argue that restricting access to markets is justified in some circumstances to protect the rights of at risk investors. We conclude with some (...) suggestions about how this might be done. (shrink)
One construal of convergent realism is that for each clear question, scientific inquiry eventually answers it. In this paper we adapt the techniques of formal learning theory to determine in a precise manner the circumstances under which this ideal is achievable. In particular, we define two criteria of convergence to the truth on the basis of evidence. The first, which we call EA convergence, demands that the theorist converge to the complete truth "all at once". The second, which we call (...) AE convergence, demands only that for every sentence in the theorist's language, there is a time at which the theorist settles the status of the sentence. The relative difficulties of these criteria are compared for effective and ineffective agents. We then examine in detail how the enrichment of an agent's hypothesis language makes the task of converging to the truth more difficult. In particular, we parametrize first-order languages by predicate and function symbol arity, presence or absence of identity, and quantifier prefix complexity. For nearly each choice of values of these parameters, we determine the senses in which effective and ineffective agents can converge to the complete truth on an arbitrary structure for the language. Finally, we sketch directions in which our learning theoretic setting can be generalized or made more realistic. (shrink)
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Rather than attempting to characterize a relation of confirmation between evidence and theory, epistemology might better consider which methods of forming conjectures from evidence, or of altering beliefs in the light of evidence, are most reliable for getting to the truth. A logical framework for such a study was constructed in the early 1960s by E. Mark Gold and Hilary Putnam. This essay describes some of the results that have been obtained in that framework and their significance for philosophy of (...) science, artificial intelligence, and for normative epistemology when truth is relative. (shrink)
Time series of macroscopic quantities that are aggregates of microscopic quantities, with unknown one‐many relations between macroscopic and microscopic states, are common in applied sciences, from economics to climate studies. When such time series of macroscopic quantities are claimed to be causal, the causal relations postulated are representable by a directed acyclic graph and associated probability distribution—sometimes called a dynamical Bayes net. Causal interpretations of such series imply claims that hypothetical manipulations of macroscopic variables have unambiguous effects on variables “downstream” (...) in the graph, and such macroscopic variables may be predictably produced or altered even while particular microstates are not. This paper argues that such causal time series of macroscopic aggregates of microscopic processes are the appropriate model for mental causation. (shrink)
_Words_, _Thoughts and Theories _argues that infants and children discover the physical and psychological features of the world by a process akin to scientific inquiry, more or less as conceived by philosophers of science in the 1960s (the theory theory). This essay discusses some of the philosophical background to an alternative, more popular, “modular” or “maturational” account of development, dismisses an array of philosoph- ical objections to the theory theory, suggests that the theory theory offers an undeveloped project for artificial (...) intelligence, and, relying on recent psychological work on causation, offers suggestions about how principles of causal inference may provide a developmental solution to the “frame problem”. (shrink)
In everyday matters, as well as in law, we allow that someone’s reasons can be causes of her actions, and often are. That correct reasoning accords with Bayesian principles is now so widely held in philosophy, psychology, computer science and elsewhere that the contrary is beginning to seem obtuse, or at best quaint. And that rational agents should learn about the world from energies striking sensory inputs nerves in people—seems beyond question. Even rats seem to recognize the difference between correlation (...) and causation,1 and accordingly make different inferences from passive observation than from interventions. A few statisticians aside,” so do most of us. To square these views with the demands of computability, increasing numbers of psychologists and others have embraced a particular formalization, causal Bayes nets, as an account of human reasoning about and to causal connections.111 Such structures can be used by rational agents, including humans in so far as they are rational, to have degrees of belief in various conceptual contents, which they use to reason to expectations, which are realized or defeated by sensory inputs, which cause them to change their degrees of belief in other contents in accord with Bayes Rule, or some generalization of it. How is all of this supposed to be carried out? l. Representing Causal Structures The causal Bayes net framework adopted by a growing number of psychologists goes like this: Our representations of causal relations are captured in a graphical causal. (shrink)
S CIENTISTS often claim that an experiment or observation tests certain hypotheses within a complex theory but not others. Relativity theorists, for example, are unanimous in the judgment that measurements of the gravitational red shift do not test the field equations of general relativity; psychoanalysts sometimes complain that experimental tests of Freudian theory are at best tests of rather peripheral hypotheses; astronomers do not regard observations of the positions of a single planet as a test of Kepler's third law, even (...) though those observations may test Kepler's first and second laws. Observations are regarded as relevant to some hypotheses in a theory but not relevant to others in that same theory. There is another kind of scientific judgment that may or may not be related to such judgments of relevance: determinations of the accuracy of the predictions of some theories are not held to provide tests of those theories, or, at least, positive results are not held to support or confirm the theories in question. There are, for example, special relativistic theories of gravity that predict the same phenomena as does general relativity, yet the theories are regarded as.. (shrink)
The notion of reduction in the natural sciences has been assimilated to the notion of inter-theoretical explanation. Many philosophers of science (following Nagel) have held that the apparently ontological issues involved in reduction should be replaced by analyses of the syntactic and semantic connections involved in explaining one theory on the basis of another. The replacement does not seem to have been especially successful, for we still lack a plausible account of inter-theoretical explanation. I attempt to provide one.
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We consider the dispute between causal decision theorists and evidential decision theorists over Newcomb-like problems. We introduce a framework relating causation and directed graphs developed by Spirtes et al. (1993) and evaluate several arguments in this context. We argue that much of the debate between the two camps is misplaced; the disputes turn on the distinction between conditioning on an event E as against conditioning on an event I which is an action to bring about E. We give the essential (...) machinery for calculating the effect of an intervention and consider recent work which extends the basic account given here to the case where causal Knowledge is incomplete. (shrink)
Department of Philosophy, University of California at San Diego, La Jolla, Ca 92093, U.S.A., and Center for Advanced Study in the Behavioral Sciences, Stanford, CA, U.S.A. E-mail: cg09+@andrew.cmu.edu..
Convergent realists desire scientific methods that converge reliably to informative, true theories over a wide range of theoretical possibilities. Much attention has been paid to the problem of induction from quantifier-free data. In this paper, we employ the techniques of formal learning theory and model theory to explore the reliable inference of theories from data containing alternating quantifiers. We obtain a hierarchy of inductive problems depending on the quantifier prefix complexity of the formulas that constitute the data, and we provide (...) bounds relating the quantifier prefix complexity of the data to the quantifier prefix complexity of the theories that can be reliably inferred from such data without background knowledge. We also examine the question whether there are theories with mixed quantifiers that can be reliably inferred with closed, universal formulas in the data, but not without. (shrink)
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Recently, Rueger and Sharp (1996) and Koperski (1998) have been concerned to show that certain procedural accounts of model confirmation are compromised by non‐linear dynamics. We suggest that the issues raised are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. We provide a framework and an example of this approach.
I argue that psychologists interested in human causal judgment should understand and adopt a representation of causal mechanisms by directed graphs that encode conditional independence (screening off) relations. I illustrate the benefits of that representation, now widely used in computer science and increasingly in statistics, by (i) showing that a dispute in psychology between mechanist and associationist psychological theories of causation rests on a false and confused dichotomy; (ii) showing that a recent, much-cited experiment, purporting to show that human subjects, (...) incorrectly let large causes overshadow small causes, misrepresents the most likely, and warranted, causal explanation available to the subjects, in the light of which their responses were normative; (iii) showing how a recent psychological theory (due to P. Cheng) of human judgment of causal power can be considerably generalized: and (iv) suggesting a range of possible experiments comparing human and computer abilities to extract causal information from associations. (shrink)
is every bit as intelligible and philosophically respectable as many other doctrines currently in favor, e.g., the doctrine that mental events are identical with brain events; the attempt to give a linguistic construal of this latter doctrine meets many of the same sorts of difficulties encountered above (see Hempel, op. cit.). Secondly, I think that evidence for universal determinism may not, as a matter of fact, be so hard to come by as one might imagine. It is a striking fact (...) about our world that we never observe any genuine cases of parallelism; it always seems possible to design some sort of interaction between any two genuine empirical magnitudes. If this is correct, then a true theory T can be deterministic only if universal determinism reigns. (shrink)
Frederick Douglass, in his first autobiography, Narrative of the Life of Frederick Douglass, describes how his sociopolitical identity was scripted by the white other and how his spatiotemporal existence was likewise constrained through constant surveillance and disciplinary dispositifs. Even so, Douglass was able to assert his humanity through creative acts of resistance. In this essay, I highlight the ways in which Douglass refused to accept the other-imposed narrative, demonstrating with his life the truth of his being—a human being (...) unwilling to be classified as thing or property. As I engage selected passages and key events from Douglass's narrative, I likewise explore the ways in which the resistance tactics .. (shrink)
Imagine putting together a jigsaw puzzle that works like the board game in the movie “Jumanji”: When you finish, whatever the puzzle portrays becomes real. The children playing “Jumanji” learn to prepare for the reality that emerges from the next throw of the dice. But how would this work for the puzzle of scientific research? How do you prepare for unlocking the secrets of the atom, or assembling from the bottom-up nanotechnologies with unforeseen properties – especially when completion of such (...) puzzles lies decades after the first scattered pieces are tentatively assembled? In the inaugural issue of this journal, Michael Polanyi argued that because the progress of science is unpredictable, society must only move forward with solving the puzzle until the picture completes itself. Decades earlier, Frederick Soddy argued that once the potential for danger reveals itself, one must reorient the whole of one’s work to avoid it. While both scientists stake out extreme positions, Soddy’s approach – together with the action taken by the like-minded Leo Szilard – provides a foundation for the anticipatory governance of emerging technologies. This paper narrates the intertwining stories of Polanyi, Soddy and Szilard, revealing how anticipation influenced governance in the case of atomic weapons and how Polanyi’s claim in “The Republic of Science” of an unpredictable and hence ungovernable science is faulty on multiple levels. (shrink)
This critical editorial introduction summarizes and explicates Frederick Will’s pragmatic realism and his account of the nature, assessment, and revision of cognitive and practical norms in connection with: the development of Will’s pragmatic realism, Hume’s problem of induction, the oscillations between foundationalism and coherentism, the nature of philosophical reflection, Kant’s ‘Refutation of Idealism’, the open texture of empirical concepts, the correspondence conception of truth, Putnam’s ‘internal realism’, the redundancy theory of truth, sociology of knowledge, the governance of practice by (...) norms and the assessment and revision of norms in practice, scientific realism, the alleged independence of reason and tradition, rule-following, legal realism, ethical intuitionism and moral relativism, the regress problem (both in epistemology and in moral theory), the paradox of analysis, and culminating in Will’s account of the philosophical governance of norms. These issues are discussed in close consideration of the views of: William Alston, John Dewey, Descartes, Leibniz, Waismann, Austin, Russell, Schlick, Ayer, Richard Rorty, Michael Williams, Hempel, Carnap, Simon Blackburn, Ramsey, Strawson, Kuhn, Wilfrid Sellars, Wittgenstein, Nozick, Dretske, Quine, Barbara Herman, Hardy Jones, Marcus Singer, and Gerd Buchdahl. (shrink)
In this paper I offer an appraisal of James Bogen and James Woodward’s distinction between data and phenomena which pursues two objectives. First, I aim to clarify the notion of a scientific phenomenon. Such a clarification is required because despite its intuitive plausibility it is not exactly clear how Bogen and Woodward’s distinction has to be understood. I reject one common interpretation of the distinction, endorsed for example by James McAllister and BruceGlymour, which identifies phenomena with patterns (...) in data sets. Furthermore, I point out that other interpretations of Bogen and Woodward’s distinction do not specify the relationship between phenomena and theories in a satisfying manner. In order to avoid this problem I propose a contextual understanding of scientific phenomena according to which phenomena are states of affairs which play specific roles in scientific practice and to which we adopt a special epistemic attitude. Second, I evaluate the epistemological significance of Bogen and Woodward’s distinction with respect to the debate between scientific realists and constructive empiricists. Contrary to what Bogen and Woodward claim, I argue that the distinction does not provide a convincing argument against constructive empiricism. (shrink)
Increasingly, epistemologists are becoming interested in social structures and their effect on epistemic enterprises, but little attention has been paid to the proper distribution of experimental results among scientists. This paper will analyze a model first suggested by two economists, which nicely captures one type of learning situation faced by scientists. The results of a computer simulation study of this model provide two interesting conclusions. First, in some contexts, a community of scientists is, as a whole, more reliable when its (...) members are less aware of their colleagues' experimental results. Second, there is a robust tradeoff between the reliability of a community and the speed with which it reaches a correct conclusion. ‡The author would like to thank Brian Skyrms, Kyle Stanford, Jeffrey Barrett, BruceGlymour, and the participants in the Social Dynamics Seminar at University of California–Irvine for their helpful comments. Generous financial support was provided by the School of Social Science and Institute for Mathematical Behavioral Sciences at UCI. †To contact the author, please write to: Department of Philosophy, Baker Hall 135, Carnegie Mellon University, Pittsburgh, PA 15213-3890; e-mail: kzollman@andrew.cmu.edu. (shrink)
In a recent article, “Wayward Modeling: Population Genetics and Natural Selection,” BruceGlymour claims that population genetics is burdened by serious predictive and explanatory inadequacies and that the theory itself is to blame. Because Glymour overlooks a variety of formal modeling techniques in population genetics, his arguments do not quite undermine a major scientific theory. However, his arguments are extremely valuable as they provide definitive proof that those who would deploy classical population genetics over natural systems must (...) do so with careful attention to interactions between individual population members and environmental causes. Glymour’s arguments have deep implications for causation in classical population genetics. (shrink)
This paper presents the leading idea of my doctoral dissertation and thus has been shaped by the reactions of all the members of my thesis committee: Charles Chastain, Walter Edelberg, W. Kent Wilson, Dorothy Grover, and Charles Marks. I am especially grateful for the help of Professors Chastain, Edelberg, and Wilson; each worked closely with me at one stage or another in the development of the ideas contained in the present work. Shorter versions of this paper were presented at the (...) 47th Annual Northwest Conference on Philosophy (1995), the 1996 Mid-South Philosophy Conference, the 1997 meeting of the Central Division of the American Philosophical Association, and at the University of Washington, Seattle; thanks to all audiences for their insightful comments and questions and also to my conference commentators, Eric Gampel, Jonathan Cohen, and BruceGlymour, respectively, each of whom offered a thoughtful critique. Lastly, I extend my gratitude to anonymous referees, including two from Mind and Language, whose remarks led to significant improvements in the paper. Address for correspondence: 13416, 4th Ave. S., Seattle, WA 98168, USA E-mail: robrupert@aol.com.. (shrink)
Although Frederick Douglass disclaimed any patriotism or love of the United States in the years when he considered its constitution to be pro-slavery, I argue that he was in fact always a patriot and always a lover of his country. This conclusion leads me to argue further that patriotism is not as expressly political as many philosophers suppose. Patriots love their country despite its politics and often unreasonably, although in loving their country they are concerned with its politics. The (...) greatest among them freely dedicate themselves selflessly to the improvement of their country, partly because they love it, and partly because they are moved to take on great projects. (shrink)
This article is the attempt at a dialogue with Bruce McCormack about the position he espoused in The Cambridge Companion to Karl Barth concerning the relation between God's Election of grace and God's Triunity. I had criticized McCormack's position in my book, Divine Freedom and the Doctrine of the Immanent Trinity (2002), but I did not elaborate on it in great detail. To develop the dialogue I will: 1) consider McCormack's claim that in CD II/2 Barth made Jesus Christ (...) “rather than” the Eternal Logos the subject of election; 2) consider what Barth means when he speaks of Jesus Christ “in the beginning”; 3) compare McCormack's thesis that the Father never had regard for the Son, apart from the humanity to be assumed, with Barth's belief that we must not dispute the eternal will of God which “precedes even predestination”; 4) analyze in detail McCormack's rejection of Barth's belief that the logos asarkos in distinction from the logos incarnandus is a necessary concept in trinitarian theology; 5) discuss Barth's concept of the divine will in relation to the concept advanced by McCormack and suggest that McCormack has fallen into the error of Hermann Schell by thinking that God in some sense takes his origin from himself, so that God would only be triune if he elected us; 6) explain why it is a problem to hold, as McCormack does, that God's self-determination to be triune and his election of us should be considered one and the same act; and finally 7) explain McCormack's confusion of time and eternity in his latest article on the subject in the February, 2007 issue of the Scottish Journal of Theology, and his own espousal of a kind of indeterminacy on God's part (which he theoretically rejects). (shrink)
One of the more sustained efforts to think beyond current academic structures has been launched by CIRET, the International Centre for Transdisciplinary Research, in Paris. This centre was involved in the First World Congress of Transdisciplinarity, in Portugal, 1994, and another international congress in Locarno, Switzerland, in early May 1997. They have a project with UNESCO on transdisciplinarity, and are involved in the World Conference on Higher Education, to be held in Paris at the end of September 1998.
Glymour's "bootstrap" account of confirmation is designed to provide an analysis of evidential relevance, which has been a serious problem for hypothetico-deductivism. As set out in Theory and Evidence, however, the "bootstrap" condition allows confirmation in clear cases of evidential irrelevance. The difficulties with Glymour's account seem to be due to a basic feature which it shares with hypothetico-deductive accounts, and which may explain why neither can give a satisfactory analysis of evidential relevance.
The mind's arrows , by Clark Glymour, combines several of the author's previous essays on causal inference. Glymour deploys causal Bayes nets (CBNs) to provide a descriptive psychological model of human causal inference and a prescriptive model for making inferences in cognitive neuropsychology and the social sciences. Though The mind's arrows is highly original and provocative, its labyrinthine organization and technical style render it inaccessible to the uninitiated. Here we attempt to distill, package and dress some of (...) class='Hi'>Glymour's more interesting theses. We note that the psychological model is developed with minimal attention to evidence concerning human causal inference and that his prescriptive models fail to do justice either to the many sources of evidence in cognitive neuropsychology or to the serious challenges of making causal inferences in the social sciences. Considerable work remains to be done to complete Glymour's ambitious projects and to clearly communicate them to others. (shrink)
Frederick Douglass (1818?1895) was the most significant African?American leader of the nineteenth century. Secretly acquiring literacy as a slave, he grew into a brilliant speaker whose essential genius was to articulate and impeach the ideologies of the day. Douglass was one of the foremost defenders of black emancipation and women?s rights. He developed a dual philosophy of resistance and integration. He taxed blacks with the need for self?reliance; he recalled whites to the justice of racial equality. Freedom would be (...) won by securing to all workers, white or black, the fruit of their labour. Economic progress and enhanced social equality would be achieved by hard work, thrift, education and sobriety. Underlying all his thought and action was an ideology of free labour conjoined with republicanism. He early embraced the ideal of moral suasion. As the prospect of civil war loomed, he accepted the legitimacy of violence ? in self?defence, and to liberate the slaves. (shrink)
Frederick Douglass's socio-political narrative is explored through an existential lens, arguing that Douglass is contesting the proposition that essence precedes existence. Douglass, through his fight with Covey, a white 'slave breaker', and his escape to freedom, affirms his ex-istence (etymologically, 'standing out') as being for it-self (pour-soi) over and against the reduction of his existence to that of being in-itself (an-soi). Drawing from the work of Simone de Beauvoir, who was greatly influenced by the phenomenological and politico-praxic work of (...) Black novelist Richard Wright, it is argued that Douglass disrupts the power/knowledge regime of white American slavery, exercising his existential capacity for transcendence. Examining whiteness as a species of what Beauvoir calls 'the serious man', it is argued that whites within Douglass's text are in a state of flight, performing their whiteness as 'the serious man', that is, where whiteness is accepted as an unconditioned state of being. Douglass's narrative depicts whiteness as a flight from freedom (bad faith); for his very act of protestation against whiteness demonstrates that whiteness is not an objective, hypostatized thing, but a performative choice that sustains white hegemony. Key Words: American slavery Simone de Beauvoir Frederick Douglass existentialism Michel Foucault genealogy Lewis Gordon the 'serious man' value code whiteness womanism Richard Wright. (shrink)
After examining Frederick's charge in his recently published Values, Nature, and Culture in the American Corporation that philosophers and others in the field of business ethics and business and society ignore nature and technology, the paper investigates Frederick's attempt to articulate and defend a New Normative Synthesis (NNS). Since the NNS is the result of a synthesis between Frederick's theory of business values and the body of principles in business ethics, I focus on the nature of each (...) component, the nature of the synthesis, and the nature of the resulting NNS itself. Inquiry reveals serious questions about the explanatory value of the theory of business values as a descriptive theory, as well as serious questions about the defense of the theory as normative theory. The analysis also discloses several possible interpretations of the NNS. (shrink)
Glymour has developed an account of the confirmation of scientific hypotheses which he advocates as an alternative to the hypothetico-deductive and Bayesian accounts. This account is subject to a counter-example which may be accomodated by a slight modification. So modified it describes an important dimension of confirmation. If the modification of Glymour's account is slightly extended, both the resulting account and the hypothetico-deductive account may be seen as special cases of a Bayesian theory which is immune to (...) class='Hi'>Glymour's criticisms. (shrink)
Frederick R. Steiner (ed): The Essential Ian McHarg: Writings on Design and Nature, 2006 Content Type Journal Article Pages 1-10 DOI 10.1007/s10806-009-9217-y Authors Ruth Beilin, University of Melbourne Landscape Sociologist, Department of Resource Management and Geography, Melbourne School of Land and Environment Melbourne VIC 3010 Australia Journal Journal of Agricultural and Environmental Ethics Online ISSN 1573-322X Print ISSN 1187-7863.
Abstract In Simple Rules for a Complex World, I outlined a set of legal rules that facilitate just and efficient social interactions among individuals. Frederick Schauer's critique of my book ignores the specific implications of my system in favor of a general critique of simplicity that overlooks the dangers to liberty when complex rules confer vast discretion on public figures. He also does not refer to the nonlibertarian features of my system that allow for overcoming holdout positions. These ?take (...) and pay? rules explain how a system broadly protective of private property responds to well?known two?person (Able?Infirm) hypothetical of the sort advanced by G. A. Cohen, which are designed to show how claims of self?ownership lend strong support to egalitarian outcomes. (shrink)
Introduction -- Part I: The meaning of life -- Richard Taylor, The meaning of life -- Thomas Nagel, The absurd -- Richard Hare, Nothing matters -- W.D. Joske, Philosophy and the meaning of life -- Robert Nozick, Philosophy and the meaning of life -- David Schmidtz, The meanings of life -- Part II: Creating people -- Derek Parfit, Whether causing someone to exist can benefit this person -- John Leslie, Why not let life ecome extinct? -- James Lenman, On becoming (...) extinct -- David Benatar, Why it is better never to come into existence -- Part III: Death -- Stephen E. Rosenbaum, How to be dead and not care : a defense of epicurus -- GeorgePpitcher, The misfortunes of the dead -- Steven Luper, Annihilation -- Fred Fldman, Some puzzles about the evil of death -- Frederick Kaufman, Pre-vital and post-mortem non-existence -- David B. Suits, Why death is not bad for the one who died -- Part IV: Suicide -- David Hume, Of suicide -- Immanuel Kant, Suicide and duty -- David Benatar, Suicide : a qualified defence -- Part V: Immortality -- James Lenman, Immortality : a letter -- Bernard Williams, The Makropulos case : reflections on the tedium of immortality -- John Martin Fischer, Why immortality is not so bad -- Christine Overall, from here to eternity : is it good to live forever? -- Part VI: Optimism and pessimism -- Margaret A. Boden, Optimism -- Michaelis Michael and Peter Caldwell, The consolations of optimism -- Bruce N. Waller, The sad truth : optimism, pessimism, and pragmatism -- Arthur Schopenhauer, On the suffering of the world. (shrink)
Three lines of argument are employed to show that Glymour's position on the epistemology of geometry is probably not as strong theoretically as the position of the underdeterminists whom he attempts to refute. The first argument centers on Glymour's implicit use of a realist position on intertheoretic reference, similar to that employed by Boyd and other realists. Citations are made to various portions of Glymour's work, and the relationship between the imputed theory of reference and Glymour's (...) position spelled out. The second line of argument refutes Glymour's contention that his criteria for choosing among theories are strongly based and not a priori, and a third line of argument rephrases Glymour's original position in a way which more clearly shows its implicit base and manifests as well the vagueness from which the formulation of the position suffers. It is concluded that a thorough examination of Glymour's deoccamization yields conclusions similar to those of the underdeterminists. * This paper is the result of work begun in a seminar on Philosophy of Science held at Rutgers University in the late 1970's. Work was continued at the University of California, Santa Barbara under the generosity of Grant DOE (OSERS) G0083/03651. I would like to thank colleagues from both institutions, and I owe a special debt of gratitude to an anonymous reviewer for the journal. (shrink)
Frederick Grinnell’s “Everyday Practice of Science” is an ambitious attempt to survey the methodological issues facing practicing scientists. His examples and anecdotes are mainly drawn from his own field of biochemistry, which he argues is representative of the scientific method in general because, quoting Nobel Laureate Sir Peter Medawar, “Biologists work very close to the frontier between bewilderment and understanding.”(p.4) Grinnell’s goal is to explore the ambiguity and messiness of actual scientific practice, but not with an eye to undermine (...) its credibility. Rather, he tries to show how the day-to-day practice of science functions to generate reliable hypotheses from the complexity of reality. (shrink)
This paper addresses the inherent danger of relativism in any naturalistic theory about moral decision-making and action. The implications of Frederick’s naturalistic view of corporations can easily lead one to believe that it has become impossible for theevolutionary firm (EF) to act with moral responsibility. However, if Frederick’s naturalistic account is located within the context of hisand other writers’ insights about complexity science, it may become possible to maintain a sense of creative, pragmatic moral decision-making in the face (...) of supposedly deterministic forces. Business’s most creative response to moral dilemmas takes place “at the edge of chaos,” where a temporary order comes into being via self-organization. This process of self-organization is influenced by a great number of variables. Some of these variables are the x-factor configurations of individuals and groups, which cannot necessarilydetermine, but can influence the moral-decision-making process. Moral responsibility becomes part of a complex process throughwhich creative, value-driven solutions emerge. (shrink)
These comments on Frederick’s “The Evolutionary Firm and Its Moral (Dis)Contents” focus on two dominant themes to provide a more optimistic perspective on Frederick’s conclusions. First is the need to take a systemic orientation at the societal and ecological levels to gain a perspective on ecologizing rather than economizing. Second, is the need to take a developmental perspective, on the assumption that evolution is still occurring, and that what may be needed to get humankind to the systemic/ecologizing orientation (...) is a higher level of awareness, greater cognitive (and moral) development than is currently prevalent. (shrink)