This volume argues for a new image of science that understands both natural and social phenomena to be the product of mechanisms, casting the work of science as an effort to understand those mechanisms. Glennan offers an account of the nature of mechanisms and of the models used to represent them in physical, life, and social sciences.

A fascinating exploration of the very essence of life itself sheds new light on the order and evolution in complex life systems and defines and explains autonomous agents and work within the contexts of thermodynamics and information theory, setting the stage for a dramatic technological revolution. 50,000 first printing.

At Home in the Universe presents and extends the intellectual core ofKauffman's earlier book The Origins of Order (OUP 1993) for any intelligentgeneral reader can understand and appreciate. The reader is very effectivelyinvited into Kauffman's vision and thought processes, in one of the moreexhilarating and important books of popular science.

We might think that thought experiments are at their most powerful or most interesting when they produce new knowledge. This would be a mistake; thought experiments that seek understanding are just as powerful and interesting, and perhaps even more so. A growing number of epistemologists are emphasizing the importance of understanding for epistemology, arguing that it should supplant knowledge as the central notion. In this chapter, I bring the literature on understanding in epistemology to bear on explicating the different ways (...) that thought experiments increase three important kinds of understanding: explanatory, objectual and practical. (shrink)

Explores the possiblity and process of evolution beyond the standard and established scientific principles.

Sometimes we learn through the use of imagination. The epistemology of imagination asks how this is possible. One barrier to progress on this question has been a lack of agreement on how to characterize imagination; for example, is imagination a mental state, ability, character trait, or cognitive process? This paper argues that we should characterize imagination as a cognitive ability, exercises of which are cognitive processes. Following dual process theories of cognition developed in cognitive science, the set of imaginative processes (...) is then divided into two kinds: one that is unconscious, uncontrolled, and effortless, and another that is conscious, controlled, and effortful. This paper outlines the different epistemological strengths and weaknesses of the two kinds of imaginative process, and argues that a dual process model of imagination helpfully resolves or clarifies issues in the epistemology of imagination and the closely related epistemology of thought experiments. (shrink)

Imagination is important for many things in science: solving problems, interpreting data, designing studies, etc. Philosophers of imagination typically account for the productive role played by imagination in science by focusing on how imagination is constrained, e.g., by using self-imposed rules to infer logically, or model events accurately. But the constraints offered by these philosophers either constrain too much, or not enough, and they can never account for uses of imagination that are needed to break today’s constraints in order to (...) make progress tomorrow. Thus, epistemology of imagination needs to make room for an element of epistemological anarchy. (shrink)

What role does the imagination play in scientific progress? After examining several studies in cognitive science, I argue that one thing the imagination does is help to increase scientific understanding, which is itself indispensable for scientific progress. Then, I sketch a transcendental justification of the role of imagination in this process.

Ethicists and economists commonly assume that if A is all things considered better than B, and B is all things considered better than C, then A is all things considered better than C. Call this principle Transitivity. Although it has great conceptual, intuitive, and empirical appeal, I argue against it. Larry S. Temkin explains how three types of ethical principle, which cannot be dismissed a priori, threaten Transitivity: (a) principles implying that in some cases different factors are relevant to comparing (...) A to C than to comparing A to B or B to C; (b) principles of limited scope; (c) principles implying that morally relevant differences in degree can amount to differences in kind. My counterexamples employ a principle of type (c): pleasures and pains enormously different in intensity differ in kind. Temkin has also endorsed this type of counterexample, using arguments based on earlier drafts of this paper. (shrink)

In this fascinating read, Kauffman concludes that the development of life on earth is not entirely predictable, because no theory could ever fully account for the limitless variations of evolution. Sure to cause a stir, this book will be discussed for years to come and may even set the tone for the next "great thinker.".

Machine generated contents note: -- Chapter 1. A Short View of Ignorance -- Chapter 2. Finding Out -- Chapter 3. Limits, Uncertainty, Impossibility, and Other Minor Problems -- Chapter 4. Unpredicting -- Chapter 5. The Quality of Ignorance -- Chapter 6. Ignorance in Action: Case Histories -- Chapter 7. Ignorance beyond the Lab.

Scientists imagine for epistemic reasons, and these imaginings can be better or worse. But what does it mean for an imagining to be epistemically better or worse? There are at least three metaepistemological frameworks that present different answers to this question: epistemological consequentialism, deontic epistemology, and virtue epistemology. This paper presents empirical evidence that scientists adopt each of these different epistemic frameworks with respect to imagination, but argues that the way they do this is best explained if scientists are fundamentally (...) epistemic consequentialists about imagination. (shrink)

Imagination is necessary for scientific practice, yet there are no in vivo sociological studies on the ways that imagination is taught, thought of, or evaluated by scientists. This article begins to remedy this by presenting the results of a qualitative study performed on two systems biology laboratories. I found that the more advanced a participant was in their scientific career, the more they valued imagination. Further, positive attitudes toward imagination were primarily due to the perceived role of imagination in problem-solving. (...) But not all problem-solving episodes involved clear appeals to imagination, only maximally specific problems did. This pattern is explained by the presence of an implicit norm governing imagination use in the two labs: only use imagination on maximally specific problems, and only when all other available methods have failed. This norm was confirmed by the participants, and I argue that it has epistemological reasons in its favour. I also found that its strength varies inversely with career stage, such that more advanced scientists do (and should) occasionally bring their imaginations to bear on more general problems. A story about scientific pedagogy explains the trend away from (and back to) imagination over the course of a scientific career. Finally, some positive recommendations are given for a more imagination-friendly scientific pedagogy. (shrink)

In this article, we analyse the evidential value of the corpus of experimental philosophy. While experimental philosophers claim that their studies provide insight into philosophical problems, some philosophers and psychologists have expressed concerns that the findings from these studies lack evidential value. Barriers to evidential value include selection bias and p-hacking. To find out whether the significant findings in x-phi papers result from selection bias or p-hacking, we applied a p-curve analysis to a corpus of 365 x-phi chapters and articles. (...) Our results suggest that this corpus has evidential value, although there are hints of p-hacking in a few parts of the x-phi corpus. (shrink)

1. Animal Cruelty Industrial farming is appallingly abusive to animals. Pigs. In America, nine-tenths of pregnant sows live in “gestation crates. ” These pens are so small that the animals can barely move. When the sows are first crated, they may flail around, in an attempt to get out. But soon they give up. Crated pigs often show signs of depression: they engage meaningless, repetitive behavior, like chewing the air or biting the bars of the stall. The sows live like (...) this for four months. Gestation crates will be phased out in Europe by the end of 2012, but they will still be used in America.1 In nature, pigs nurse their young for about thirteen weeks. But in industrial farms, piglets are taken from their mothers after about ten days. Because the piglets are weaned prematurely, they develop a lifelong craving to suck and chew. But the farmers don’t want them sucking and chewing on other pigs’ tails. So the growers routinely snip off the tails of all their pigs. They do this with a pair of pliers and no anesthetic. However, the whole tail is not removed; a tender stump remains. The point is to render the area sensitive, so the pigs being chewed on will fight back. Which they do.2 Over 113 million pigs are slaughtered each year in America.3 Typically, these pigs are castrated, their needle teeth are clipped, and one of their ears is notched for identification —all without pain relief.4 In nature, pigs spend up to three quarters of their waking hours foraging and exploring their environment.5 But in the factory farms, “tens of thousands of hogs spend their entire lives ignorant of earth or straw or sunshine, crowded together beneath a metal roof standing on metal slats suspended over a septic tank. ”6 Bored, and in constant pain, the pigs must perpetually inhale the fumes of their own waste. These pigs often get sick, and their ill health is exacerbated by the overcrowding. In 2000, the U.S. Department of Agriculture compared hog farms containing over 10,000 pigs—which is the norm—with farms containing under 2,000 pigs. (shrink)

While philosophers hold that it is patently absurd to blame robots or hold them morally responsible [1], a series of recent empirical studies suggest that people do ascribe blame to AI systems and robots in certain contexts [2]. This is disconcerting: Blame might be shifted from the owners, users or designers of AI systems to the systems themselves, leading to the diminished accountability of the responsible human agents [3]. In this paper, we explore one of the potential underlying reasons for (...) robot blame, namely the folk's willingness to ascribe inculpating mental states or "mens rea" to robots. In a vignette-based experiment (N=513), we presented participants with a situation in which an agent knowingly runs the risk of bringing about substantial harm. We manipulated agent type (human v. group agent v. AI-driven robot) and outcome (neutral v. bad), and measured both moral judgment (wrongness of the action and blameworthiness of the agent) and mental states attributed to the agent (recklessness and the desire to inflict harm). We found that (i) judgments of wrongness and blame were relatively similar across agent types, possibly because (ii) attributions of mental states were, as suspected, similar across agent types. This raised the question - also explored in the experiment - whether people attribute knowledge and desire to robots in a merely metaphorical way (e.g., the robot "knew" rather than really knew). However, (iii), according to our data people were unwilling to downgrade to mens rea in a merely metaphorical sense when given the chance. Finally, (iv), we report a surprising and novel finding, which we call the inverse outcome effect on robot blame: People were less willing to blame artificial agents for bad outcomes than for neutral outcomes. This suggests that they are implicitly aware of the dangers of overattributing blame to robots when harm comes to pass, such as inappropriately letting the responsible human agent off the moral hook. (shrink)

Thought experiments are a means of imaginative reasoning that lie at the heart of philosophy, from the pre-Socratics to the modern era, and they also play central roles in a range of fields, from physics to politics. The Routledge Companion to Thought Experiments is an invaluable guide and reference source to this multifaceted subject. Comprising over 30 chapters by a team of international contributors, the Companion covers the following important areas: -/- · the history of thought experiments, from antiquity to (...) the trolley problem and quantum non-locality; -/- · thought experiments in the humanities, arts, and sciences, including ethics, physics, theology, biology, mathematics, economics, and politics; -/- · theories about the nature of thought experiments; -/- · new discussions concerning the impact of experimental philosophy, cross-cultural comparison studies, metaphilosophy, computer simulations, idealization, dialectics, cognitive science, the artistic nature of thought experiments, and metaphysical issues. -/- This broad ranging Companion goes backwards through history and sideways across disciplines. It also engages with philosophical perspectives from empiricism, rationalism, naturalism, skepticism, pluralism, contextualism, and neo-Kantianism to phenomenology. This volume will be valuable for anyone studying the methods of philosophy or any discipline that employs thought experiments, as well as anyone interested in the power and limits of the mind. (shrink)

Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...) is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

John D. Norton defends an empiricist epistemology of thought experiments, the central thesis of which is that thought experiments are nothing more than arguments. Philosophers have attempted to provide counterexamples to this claim, but they haven’t convinced Norton. I will point out a more fundamental reason for reformulation that criticizes Norton’s claim that a thought experiment is a good one when its underlying logical form possesses certain desirable properties. I argue that by Norton’s empiricist standards, no thought experiment is ever (...) justified in any deep sense due to the properties of its logical form. Instead, empiricists should consider again the merits of evaluating thought experiments more like laboratory experiments, and less like arguments. (shrink)

Attempts to ‘naturalize’ phenomenology challenge both traditional phenomenology and traditional approaches to cognitive science. They challenge Edmund Husserl’s rejection of naturalism and his attempt to establish phenomenology as a foundational transcendental discipline, and they challenge efforts to explain cognition through mainstream science. While appearing to be a retreat from the bold claims made for phenomenology, it is really its triumph. Naturalized phenomenology is spearheading a successful challenge to the heritage of Cartesian dualism. This converges with the reaction against Cartesian thought (...) within science itself. Descartes divided the universe between res cogitans, thinking substances, and res extensa, the mechanical world. The latter won with Newton and we have, in most of objective science since, literally lost our mind, hence our humanity. Despite Darwin, biologists remain children of Newton, and dream of a grand theory that is epistemologically complete and would allow lawful entailment of the evolution of the biosphere. This dream is no longer tenable. We now have to recognize that science and scientists are within and part of the world we are striving to comprehend, as proponents of endophysics have argued, and that physics, biology and mathematics have to be reconceived accordingly. Interpreting quantum mechanics from this perspective is shown to both illuminate conscious experience and reveal new paths for its further development. In biology we must now justify the use of the word “function”. As we shall see, we cannot prestate the ever new biological functions that arise and constitute the very phase space of evolution. Hence, we cannot mathematize the detailed becoming of the biosphere, nor write differential equations for functional variables we do not know ahead of time, nor integrate those equations, so no laws “entail” evolution. The dream of a grand theory fails. In place of entailing laws, a post-entailing law explanatory framework is proposed in which Actuals arise in evolution that constitute new boundary conditions that are enabling constraints that create new, typically unprestatable, Adjacent Possible opportunities for further evolution, in which new Actuals arise, in a persistent becoming. Evolution flows into a typically unprestatable succession of Adjacent Possibles. Given the concept of function, the concept of functional closure of an organism making a living in its world, becomes central. Implications for patterns in evolution include historical reconstruction, and statistical laws such as the distribution of extinction events, or species per genus, and the use of formal cause, not efficient cause, laws. (shrink)

Unpleasant experiences include backaches, moments of nausea, moments of nervousness, phantom pains, and so on. What does their unpleasantness consist in? The unpleasantness of an experience has been thought to consist in: (1) its representing bodily damage; (2) its inclining the subject to fight its continuation; (3) the subject's disliking it; (4) features intrinsic to it. I offer compelling objections to (1) and (2) and less compelling objections to (3). I defend (4) against five challenging objections and offer two reasons (...) to believe it. Hence, I advocate "Intrinsic Nature," the idea that unpleasantness is intrinsic to unpleasant experiences. (shrink)

John D. Norton is responsible for a number of influential views in contemporary philosophy of science. This paper will discuss two of them. The material theory of induction claims that inductive arguments are ultimately justified by their material features, not their formal features. Thus, while a deductive argument can be valid irrespective of the content of the propositions that make up the argument, an inductive argument about, say, apples, will be justified (or not) depending on facts about apples. The argument (...) view of thought experiments claims that thought experiments are arguments, and that they function epistemically however arguments do. These two views have generated a great deal of discussion, although there hasn’t been much written about their combination. I argue that despite some interesting harmonies, there is a serious tension between them. I consider several options for easing this tension, before suggesting a set of changes to the argument view that I take to be consistent with Norton’s fundamental philosophical commitments, and which retain what seems intuitively correct about the argument view. These changes require that we move away from a unitary epistemology of thought experiments and towards a more pluralist position. (shrink)

Ultimately we will only understand biological agency when we have developed a theory of the organization of biological processes, and science is still a long way from attaining that goal. It may be possible nonetheless to develop a list of necessary conditions for the emergence of minimal biological agency. The authors offer a model of molecular autonomous agents which meets the five minimal physical conditions that are necessary (and, we believe, conjointly sufficient) for applying agential language in biology: autocatalytic reproduction; (...) work cycles; boundaries for reproducing individuals; self-propagating work and constraint construction; and choice and action that have evolved to respond to food or poison. When combined with the arguments from preadaptation and multiple realizability, the existence of these agents is sufficient to establish ontological emergence as against what one might call Weinbergian reductionism. Minimal biological agents are emphatically not conscious agents, and accepting their existence does not commit one to any robust theory of human agency. Nor is there anything mystical, dualistic, or non-empirical about the emergence of agency in the biosphere. Hence the emergence of molecular autonomous agents, and indeed ontological emergence in general, is not a negation of or limitation on careful biological study but simply one of its implications. (shrink)

This paper defends the Famine Relief Argument against Having Children, which goes as follows: conceiving and raising a child costs hundreds of thousands of dollars; that money would be far better spent on famine relief; therefore, conceiving and raising children is immoral. It is named after Peter Singer’s Famine Relief Argument because it might be a special case of Singer’s argument and because it exposes the main practical implication of Singer’s argument—namely, that we should not become parents. I answer five (...) objections: that disaster would ensue if nobody had children; that having children cannot be wrong because it is so natural for human beings; that the argument demands too much of us; that my child might be a great benefactor to the world; and that we should raise our children frugally and give them the right values rather than not have them. Previous arguments against procreation have appealed either to a pessimism about human life, or to the environmental impact of overpopulation, or to the fact that we cannot obtain the consent of the non-existent. The argument proposed here appeals to the severe opportunity costs of parenting. (shrink)

In Reasons and Persons, Derek Parfit cannot find a theory of well-being that solves the Non-Identity Problem, the Repugnant Conclusion, the Absurd Conclusion, and all forms of the Mere Addition Paradox. I describe a “Quasi-Maximizing” theory that solves them. This theory includes (i) the denial that being better than is transitive and (ii) the “Conflation Principle,” according to which alternative B is hedonically better than alternative C if it would be better for someone to have all the B-experiences. (i) entails (...) that Quasi-Maximization is not a maximizing theory, but (ii) ensures that its evaluations will often coincide with such theories. (shrink)

Scientists imagine constantly. They do this when generating research problems, designing experiments, interpreting data, troubleshooting, drafting papers and presentations, and giving feedback. But when and how do scientists learn how to use imagination? Across 6 years of ethnographic research, it has been found that advanced career scientists feel comfortable using and discussing imagination, while graduate and undergraduate students of science often do not. In addition, members of marginalized and vulnerable groups tend to express negative views about the strength of their (...) imaginations and the general usefulness of imagination in science. After introducing these findings and discussing the typical relationship between a scientist and their imagination across a career, we argue that reducing the number or power of active imaginations in science is epistemically counterproductive. We suggest several ways to bring imagination back into science in a more inclusive way, especially through courses on imagination for scientists, good role models, and exemplar-based learning. (shrink)

The history of the philosophy of thought experiments has touched on the work of Kuhn, Popper, Duhem, Mach, Lakatos, and other big names of the 20th century, but so far, almost nothing has been written about Paul Feyerabend. His most influential work was Against Method, 8 chapters of which concern a case study of Galileo with a specific focus on Galileo’s thought experiments. In addition, the later Feyerabend was very interested in what might be called the epistemology of drama, including (...) stories and myths. This paper brings these different aspects of Feyerabend’s work together in an attempt to present what might have been his considered views on scientific thought experiments. I conclude by contrasting Feyerabend’s ideas with two modern currents in the debate surrounding thought experiments: 1) the claim that the epistemology of thought experiments is just the epistemology of deductive or inductive arguments, and 2) the claim that the specifically narrative quality of thought experiments must be taken into account if we want a complete epistemology of thought experiments. (shrink)

Our aim in this article is to attempt to discuss propagating organization of process, a poorly articulated union of matter, energy, work, constraints and that vexed concept, “information”, which unite in far from equilibrium living physical systems. Our hope is to stimulate discussions by philosophers of biology and biologists to further clarify the concepts we discuss here. We place our discussion in the broad context of a “general biology”, properties that might well be found in life anywhere in the cosmos, (...) freed from the specific examples of terrestrial life after 3.8 billion years of evolution. By placing the discussion in this wider, if still hypothetical, context, we also try to place in context some of the extant discussion of information as intimately related to DNA, RNA and protein transcription and translation processes. While characteristic of current terrestrial life, there are no compelling grounds to suppose the same mechanisms would be involved in any life form able to evolve by heritable variation and natural selection. In turn, this allows us to discuss at least briefly, the focus of much of the philosophy of biology on population genetics, which, of course, assumes DNA, RNA, proteins, and other features of terrestrial life. Presumably, evolution by natural selection—and perhaps self-organization—could occur on many worlds via different causal mechanisms. Here we seek a non-reductionist explanation for the synthesis, accumulation, and propagation of information, work, and constraint, which we hope will provide some insight into both the biotic and abiotic universe, in terms of both molecular self reproduction and the basic work energy cycle where work is the constrained release of energy into a few degrees of freedom. The typical requirement for work itself is to construct those very constraints on the release of energy that then constitute further work. Information creation, we argue, arises in two ways: first information as natural selection assembling the very constraints on the release of energy that then constitutes work and the propagation of organization. Second, information in a more extended sense is “semiotic”, that is about the world or internal state of the organism and requires appropriate response. The idea is to combine ideas from biology, physics, and computer science, to formulate explanatory hypotheses on how information can be captured and rendered in the expected physical manifestation, which can then participate in the propagation of the organization of process in the expected biological work cycles to create the diversity in our observable biosphere. Our conclusions, to date, of this enquiry suggest a foundation which views information as the construction of constraints, which, in their physical manifestation, partially underlie the processes of evolution to dynamically determine the fitness of organisms within the context of a biotic universe. (shrink)

Of the nature and origin of the mind, by B. de Spinoza.--Spinoza and the theory of organism, by H. Jonas.--Man a machine, and The natural history of the soul, by J. O. de la Mettrie.--On the first ground of the distinction of regions in space, and What is orientation in thinking? by I. Kant.--Soul and body, by J. Dewey.--The philosophical concept of a human body, by D. C. Long.--Are persons bodies? By B. A. O. Williams.--Lived body, environment, and ego, by (...) M. Scheler.--Metaphysical journal, and A metaphysical diary, by G. Marcel.--The body, by J.-P. Sartre.--The spatiality of the lived body and motility, by M. Merleau-Ponty.--Anthropodology: man a-foot, by R. M. Griffith.--Man and his body, by H. Plügge.--The nobility of sight: a study in the phenomenology of the senses, by H. Jonas.--Born to see, bound to behold: reflections on the function of upright posture in the esthetic attitude, by E. W. Straus.--Selected reading (p. [363]-367). (shrink)

I defend these claims: (1) 'Pleasure' has exactly one English antonym: 'unpleasure.' (2) Pleasure is the most convincing example of an organic unity. (3) The hedonic calculus is a joke. (4) An important type of pleasure is background pleasure. (5) Pleasures in bad company are still good. (6) Higher pleasures aren't pleasures (and if they were, they wouldn't be higher). Thesis (1) merely concerns terminology, but theses (2)-(6) are substantive, evaluative claims.

A set of arguments shows that either the Repugnant Conclusion and its variants are true or the better-than relation isn't transitive. Which is it? This is the most important question in population ethics. The answer will point the way to Parfit's elusive Theory X.

This article explores Augustine’s response to the Pelagians who claimed that if one truly desired to be sinless, one could be. The standard scholarly view, as articulated by Gerald Bonner, was that Augustine’s thought during the Pelagian controversy did not change over time. However, Augustine’s thoughts on sinlessness changed over a very brief period of time. He initially admits the possibility that, through grace, some may not have sinned ; he later retracts this view, only to assert in De gestis (...) Pelagii that he unsure. Finally, he returns to his original position. (shrink)

This article will exploreJerome's understanding of sinlessness and will argue that he saw himself just as opposed toAugustine as toPelagius. I begin by exposing Jerome's context in thePelagianControversy. I then expose his understanding of sinlessness. Next, I turn to his arguments inEp.133 and the first two books of hisDialogi contraPelagianos. In book three of that text, we notice a change in his arguments which indicates that Jerome is no longer arguing only againstPelagius; he now disagrees withAugustine as well. I then (...) examine a variety of issues besides sinlessness in the third book of theDialogithat reveal thatJerome disagreed withAugustine on multiple topics, showing that his opposition toAugustine's position on sinlessness was not exceptional. Finally I turn to statements byJerome that seem to indicate a positive appreciation for theBishop ofHippo, but which on closer inspection are seen to contain latent criticisms. (shrink)

Thought experiments, models, diagrams, computer simulations, and metaphors can all be understood as tools of the imagination. While these devices are usually treated separately in philosophy of science, this paper provides a unified account according to which tools of the imagination are epistemically good insofar as they improve scientific imaginings. Improving scientific imagining is characterized in terms of epistemological consequences: more improvement means better consequences. A distinction is then drawn between tools being good in retrospect, at the time, and in (...) general. In retrospect, tools are evaluated straightforwardly in terms of the quality of their consequences. At the cutting edge, tools are evaluated positively insofar as there is reason to believe that using them will have good consequences. Lastly, tools can be generally good, insofar as their use encourages the development of epistemic virtues, which are good because they have good epistemic consequences. (shrink)

I aim to show that (i) there are good ways to argue about what has intrinsic value; and (ii) good ethical arguments needn't make ethical assumptions. I support (i) and(ii) by rebutting direct attacks, by discussing nine plausible ways to argue about intrinsic value, and by arguing for pains intrinsic badness without making ethical assumptions. If (i) and (ii) are correct, then ethical theory has more resources than many philosophers have thought: empirical evidence, and evidence bearing on intrinsic value. With (...) more resources, we can hope to base all of our moral beliefs on evidence rather than on, say, emotion or mere intuition. (shrink)

Accounts of video game play developed from an ethnomethodological and conversation analytic perspective remain relatively scarce. This study collects together an emerging, if scattered, body of research which focuses on the material, practical “work” of video game players. The study offers an example-driven explication of an EMCA perspective on video game play phenomena. The materials are arranged as a “tactical zoom.” We start very much “outside” the game, beginning with a wide view of how massive-multiplayer online games are played within (...) dedicated gaming spaces; here, we find multiple players, machines, and many different sorts of activities going on. Still remaining somewhat distanced from the play of the game itself, we then take a closer look at the players themselves by examining a notionally simpler setting involving pairs taking part in a football game at a games console. As we draw closer to the technical details of play, we narrow our focus further still to examine a player and spectator situated “at the screen” but jointly analyzing play as the player competes in an online first-person shooter. Finally, we go “inside” the game entirely and look at the conduct of avatars on-screen via screen recordings of a massively multiplayer online game. Having worked through specific examples, we provide an elaboration of a selection of core topics of ethnomethodology and conversation analysis that is used to situate some of the unstated orientations in the presentation of data fragments. In this way, recurrent issues raised in the fragments are shown as coherent, interconnected phenomena. In closing, we suggest caution regarding the way game play phenomena have been analyzed in this study, while remarking on challenges present for the development of further EMCA-oriented research on video game play. (shrink)

Can an ugly experiment be a good experiment? Philosophers have identified many beautiful experiments and explored ways in which their beauty might be connected to their epistemic value. In contrast, the present chapter seeks out (and celebrates) ugly experiments. Among the ugliest are those being designed by AI algorithms. Interestingly, in the contexts where such experiments tend to be deployed, low aesthetic value correlates with high epistemic value. In other words, ugly experiments can be good. Given this, we should conclude (...) that beauty is not generally necessary or sufficient for epistemic value, and increasing beauty will not generally tend to increase epistemic value. (shrink)

Imagination is extremely important for science, yet very little is known about how scientists actually use it. Are scientists taught to imagine? What do they value imagination for? How do social and disciplinary factors shape it? How is the labor of imagining distributed? These questions should be high priority for anyone who studies or practices science, and this paper argues that the best methods for addressing them are qualitative. I summarize a few preliminary findings derived from recent interview-based and observational (...) qualitative studies that I have performed. These finding include: (i) imagination is only valued for use in addressing maximally specific problems, and only when all else fails; (ii) younger scientists and scientists who are members of underrepresented groups express less positive views about imagination in general, and have less confidence in their own imaginations; (iii) while scientists seem to employ various epistemological frameworks to evaluate imaginings, overall they appear to be epistemic consequentialists about imagination, and this holds also for their evaluations of the tools they use to extend the power of their imaginations. I close by discussing the epistemic and ethical consequences of these findings, and then suggesting a few research avenues that could be explored next as we move forward in the study of scientific imagination. (shrink)

In 2008, researchers reported that Timothy Brown , a man with HIV infection and leukemia, received a stem-cell transplant that removed HIV from his body as far as can be detected. In 2013, an infant born with HIV infection received anti-retroviral treatment shortly after birth, but was then lost to the health care system for the next six months. When tested for HIV upon return, the child had no detectable viral load despite cessation of treatment. These remarkable clinical developments have (...) helped reinvigorate the field of ‘HIV cure’ research. (shrink)

As Nelson Goodman highlighted, there are two main senses of “abstract” that can be found in discussions about abstract art. On the one hand, a representation is abstract if it leaves out certain features of its target. On the other hand, something can be abstract to the extent that it does not represent a concrete subject. The first sense of “abstract” is well-known in philosophy of science. For example, philosophers discuss mathematical models of physical, biological, and economic systems as being (...) abstract in this sense. However, it is the second sense that dominates discussions of abstract art in aesthetics. For example, abstract art was (and is) considered revolutionary precisely for being non-figurative. Through an analysis of artists including Kandinsky, Malevich, and Mondrian, we develop a reading of this second sense, which we call “generative abstraction,” as opposed to “subtractive” abstraction. Generative abstraction is a process in which a new artifact is created which does not represent the initial concrete target system that inspired it (if there was one), where the artifact’s features are explored for their own sake, and where the “language” of the new artifact is in some way more “universal.” Focusing on this sense of abstraction is helpful in revealing the complexity of the process of crafting an abstract artifact, in problematizing the notion that abstraction can always be un-done (or concretized), as well as revealing new ways for abstractions to be epistemically (un)successful. (shrink)

Accounts of video game play developed from an ethnomethodological and conversation analytic perspective remain relatively scarce. This study collects together an emerging, if scattered, body of research which focuses on the material, practical “work” of video game players. The study offers an example-driven explication of an EMCA perspective on video game play phenomena. The materials are arranged as a “tactical zoom.” We start very much “outside” the game, beginning with a wide view of how massive-multiplayer online games are played within (...) dedicated gaming spaces; here, we find multiple players, machines, and many different sorts of activities going on. Still remaining somewhat distanced from the play of the game itself, we then take a closer look at the players themselves by examining a notionally simpler setting involving pairs taking part in a football game at a games console. As we draw closer to the technical details of play, we narrow our focus further still to examine a player and spectator situated “at the screen” but jointly analyzing play as the player competes in an online first-person shooter. Finally, we go “inside” the game entirely and look at the conduct of avatars on-screen via screen recordings of a massively multiplayer online game. Having worked through specific examples, we provide an elaboration of a selection of core topics of ethnomethodology and conversation analysis that is used to situate some of the unstated orientations in the presentation of data fragments. In this way, recurrent issues raised in the fragments are shown as coherent, interconnected phenomena. In closing, we suggest caution regarding the way game play phenomena have been analyzed in this study, while remarking on challenges present for the development of further EMCA-oriented research on video game play. (shrink)

We conduct an experiment with 459 nonprofessional investors to examine whether they evaluate companies differently based on management’s stated purpose for undertaking corporate social responsibility activities in the presence versus absence of a company-specific negative event. Specifically, we vary whether or not management intends to achieve financial returns from CSR activities in addition to promoting social good. We address investors’ decision processes by investigating whether their judgments are mediated by perceptions of future cash flows and/or the underlying ethical culture of (...) the company. Results show that absent a negative event, investment judgments are stronger when CSR activities are intended to achieve financial returns, through expectations of higher future cash flows. However, when a negative event occurs, we find a moderating effect of independent assurance of CSR disclosures. When disclosures are not assured, investors prefer CSR undertaken only for societal benefit, mediated by perceptions of a stronger ethical culture. However, when disclosures are assured, ethical culture is viewed similarly regardless of management’s intention to achieve financial returns from CSR activities. This suggests that management’s willingness to obtain independent assurance on disclosures is viewed as a positive ethical signal. Thus, assurance complements disclosure of CSR activities by contributing to protection against the impact of negative events. (shrink)