In this article I examine the consequences of the dominance of intuitive thinking in moral judging and deciding for the role of moral reasoning in moral education. I argue that evidence for the reliability of moral intuitions is lacking. We cannot determine when we can trust our intuitive moral judgements. Deliberate and critical reasoning is needed, but it cannot replace intuitive thinking. Following Robin Hogarth, I argue that intuitive judgements can be improved. The expertise model for moral development, proposed by (...) Hubert and Stuart Dreyfus, not only teaches us how we acquire intuitive moral judgements, it also shows the interconnectedness of intuitive thinking and deliberate reasoning. Analysing the expertise model in more detail, I show that it cannot do justice to the importance of reasoning skills. Reasoning skills are needed because we expect people to be able to argue for their standpoints. I conclude that moral education should not only aim at improving intuitive moral judgements, but also at acquiring reasoning skills. (shrink)

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)

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.

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)

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)

An accurate classification of bacteria is essential for the proper identification of patient infections and subsequent treatment decisions. Multi-Locus Sequence Typing (MLST) is a genetic technique for bacterial classification. MLST classifications are used to cluster bacteria into clonal complexes. Importantly, clonal complexes can serve as a biological species concept for bacteria, facilitating an otherwise difficult taxonomic classification. In this paper, we argue for the inclusion of terms relating to clonal complexes in biomedical ontologies.

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)

When philosophers discuss the possibility of machines making scientific discoveries, they typically focus on discoveries in physics, biology, chemistry and mathematics. Observing the rapid increase of computer-use in science, however, it becomes natural to ask whether there are any scientific domains out of reach for machine discovery. For example, could machines also make discoveries in qualitative social science? Is there something about humans that makes us uniquely suited to studying humans? Is there something about machines that would bar them from (...) such activity? A close look at the methodology of interpretive social science reveals several abilities necessary to make a social scientific discovery, and one capacity necessary to possess any of them is imagination. For machines to make discoveries in social science, therefore, they must possess imagination algorithms. (shrink)

The study examines the argumentative competencies of people with Asperger syndrome (AS) and compares this with those of normal – or what are called neurotypical (NT) – subjects. To investigate how people with AS recognise, evaluate and engage in argumentation, we have adapted and applied the empirical instrument developed by van Eemeren, Garssen and Meuffels to study the conventional validity of the pragma-dialectical freedom rule (van Eemeren, Gars- sen & Meuffels 2003a; 2003b; 2005a; 2005b; van Eemeren & Meuffels, 2002). Our (...) paper begins with some background information on Asperger syndrome and how it impacts upon communication and argumentation; then it addresses the research questions and methods used; thirdly, it presents some initial findings; finally, it will conclude with some im- plications for those people with AS, for those they come into contact with and for the pragma-dialectic model in general. (shrink)

An observation of Hume’s has received a lot of attention over the last decade and a half: Although we can standardly imagine the most implausible scenarios, we encounter resistance when imagining propositions at odds with established moral (or perhaps more generally evaluative) convictions. The literature is ripe with ‘solutions’ to this so-called ‘Puzzle of Imaginative Resistance’. Few, however, question the plausibility of the empirical assumption at the heart of the puzzle. In this paper, we explore empirically whether the difficulty we (...) witness in imagining certain propositions is indeed due to claim type (evaluative v. non-evaluative) or whether it is much rather driven by mundane features of content. Our findings suggest that claim type plays but a marginal role, and that there might hence not be much of a ‘puzzle’ to be solved. (shrink)

Although the index is one of the best known features of Peirce's theory of signs there is little appreciation of Peirce's theory of the index amongst contemporary philosophers of language. Amongst Peirce scholars, the value placed on Peirce's account is greater, but is largely based on Thomas Goudge's paper, "Peirce's Index" (Goudge, 1965). Despite marking a crucial milestone in our comprehension of Peirce's theory, our understanding of indices and indexical reference has grown markedly over the last forty years. Time has (...) now come, then, to develop the work that Goudge began and to provide a full analysis of Peirce's account that makes its value to the philosophy of language clear. I undertake this enterprise here. (shrink)

In this paper, we develop an impure somatic theory of emotion, according to which emotions are constituted by the integration of bodily perceptions with representations of external objects, events, or states of affairs. We put forward our theory by contrasting it with Prinz's pure somatic theory, according to which emotions are entirely constituted by bodily perceptions. After illustrating Prinz's theory and discussing the evidence in its favor, we show that it is beset by serious problems—i.e., it gets the neural correlates (...) of emotion wrong, it isn't able to distinguish emotions from bodily perceptions that aren't emotions, it cannot account for emotions being directed towards particular objects, and it mischaracterizes emotion phenomenology. We argue that our theory accounts for the empirical evidence considered by Prinz and solves the problems faced by his theory. In particular, we maintain that our theory gives a unified and principled account of the relation between emotions and bodily perceptions, the intentionality of emotions, and emotion phenomenology. (shrink)

Recent research shows – somewhat astonishingly – that people are willing to ascribe moral blame to AI-driven systems when they cause harm [1]–[4]. In this paper, we explore the moral- psychological underpinnings of these findings. Our hypothesis was that the reason why people ascribe moral blame to AI systems is that they consider them capable of entertaining inculpating mental states (what is called mens rea in the law). To explore this hypothesis, we created a scenario in which an AI system (...) runs a risk of poisoning people by using a novel type of fertilizer. Manipulating the computational (or quasi-cognitive) abilities of the AI system in a between-subjects design, we tested whether people’s willingness to ascribe knowledge of a substantial risk of harm (i.e., recklessness) and blame to the AI system. Furthermore, we investigated whether the ascription of recklessness and blame to the AI system would influence the perceived blameworthiness of the system’s user (or owner). In an experiment with 347 participants, we found (i) that people are willing to ascribe blame to AI systems in contexts of recklessness, (ii) that blame ascriptions depend strongly on the willingness to attribute recklessness and (iii) that the latter, in turn, depends on the perceived “cognitive” capacities of the system. Furthermore, our results suggest (iv) that the higher the computational sophistication of the AI system, the more blame is shifted from the human user to the AI system. (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)

The philosophy of science has traditionally assumed that knowledge should be organized in the form of theories. From theories propositions can be deduced that can be tested in experiments. Most propositions deduced from theories take the form of if-then statements. For example, if variable A increases, what happens to variable B, assuming that all other variables are held constant? However, an alternative way of organizing knowledge, in the form of producer-product relationships, was proposed by the philosopher E.A. Singer, Jr. and (...) advocated by two of his students, C. West Churchman and Russell L. Ackoff. Whether to structure knowledge in the form of theories or methods is related to the question of whether there is a fundamental difference between the natural and the social sciences. As opposed to Karl Popper’s doctrine of the unity of method, this paper argues that structuring knowledge in the form of methods is appropriate in applied fields, particularly in management where a large part of the task is to achieve agreement among a group of knowing subjects on an appropriate set of actions. (shrink)

One of the central criteria for free will is “Could I have done otherwise?” But because of a temporal asymmetry in human choice, the question makes no sense. The question is backward-looking, while human choices are forward-looking. At the time when any choice is actually made, there is as of yet no action to do otherwise. Expectation is the only thing to contradict (do other than). So the ability to do something not expected by the ultimate expecter, Laplace’s demon, is (...) a better criterion for free will. If human action is fundamentally unpredictable, then we have free will. Scientists have studied a form of fundamental unpredictability, known as undecidability. The features that make a system capable of undecidable dynamics have been identified: program-data duality; potential to access an infinite computational medium; and the ability to implement negation. Humans have all three of these features, so we very likely are fundamentally unpredictable, so we have free will. (shrink)

In medical ethics, business ethics, and some branches of political philosophy (multi-culturalism, issues of just allocation, and equitable distribution) the literature increasingly combines insights from ethics and the social sciences. Some authors in medical ethics even speak of a new phase in the history of ethics, hailing "empirical ethics" as a logical next step in the development of practical ethics after the turn to "applied ethics." The name empirical ethics is ill-chosen because of its associations with "descriptive ethics." Unlike descriptive (...) ethics, however, empirical ethics aims to be both descriptive and normative. The first question on which I focus is what kind of empirical research is used by empirical ethics and for which purposes. I argue that the ultimate aim of all empirical ethics is to improve the context-sensitivity of ethics. The second question is whether empirical ethics is essentially connected with specific positions in meta-ethics. I show that in some kinds of meta-ethical theories, which I categorize as broad contextualist theories, there is an intrinsic need for connecting normative ethics with empirical social research. But context-sensitivity is a goal that can be aimed for from any meta-ethical position. (shrink)

Debates over the reality of race often rely on arguments about the connection between race and science—those who deny that race is real argue that there is no significant support from science for our ordinary race concepts; those who affirm that race is real argue that our ordinary race concepts are supported by scientific findings. However, there is arguably a more fundamental concern here: How should we define race concepts in the first place? The reason I claim that this definitional (...) question is more fundamental is that our handling of the underlying definitional problem often determines the scientific support our ordinary race concepts need, and importantly the likelihood of finding such support. In short, the defini- tional question, “How do we define race?” often undercuts the question of whether race is scientifically meaningful. (shrink)

The distinction between a priori knowledge and a posteriori knowledge has come under attack in the recent literature by Philip Kitcher, John Hawthorne, C. S. Jenkins, and Timothy Williamson. Evaluating the attacks requires answering two questions. First, have they hit their target? Second, are they compelling? My goal is to argue that the attacks fail because they miss their target. Since the attacks are directed at a particular concept or distinction, they must accurately locate the target concept or distinction. Accurately (...) locating the target concept or distinction requires correctly articulating that concept or distinction. The attacks miss their target because they fail to correctly articulate the target concept or distinction. I go on to present a different challenge to the a priori-a posteriori distinction. This challenge is not directed at the coherence or significance of the distinction. Its target is the traditional view that all knowledge (or justified belief) is either a priori or a posteriori. (shrink)

In Necessary Beings, Bob Hale addresses two questions: What is the source of necessity? What is the source of our knowledge of it? He offers novel responses to them in terms of the metaphysical notion of nature or, more familiarly, essence. In this paper, I address Hale’s response to the first question. My assessment is negative. I argue that his essentialist explanation of the source of necessity suffers from three significant shortcomings. First, Hale’s leading example of an essentialist explanation merely (...) asserts that the nature of an entity explains some necessity, but leaves unexplained how it does so. Second, his essentialist explanation of particular necessities introduces new necessities that remain unexplained. Third, Hale’s version of essentialism presupposes a controversial metaphysical theory of properties, for which he offers no defense. (shrink)

In this paper, I critically assess different interpretations of Bohmian mechanics that are not committed to an ontology based on the wave function being an actual physical object that inhabits configuration space. More specifically, my aim is to explore the connection between the denial of configuration space realism and another interpretive debate that is specific to Bohmian mechanics: the quantum potential versus guidance approaches. Whereas defenders of the quantum potential approach to the theory claim that Bohmian mechanics is better formulated (...) as quasi-Newtonian, via the postulation of forces proportional to acceleration; advocates of the guidance approach defend the notion that the theory is essentially first-order and incorporates some concepts akin to those of Aristotelian physics. Here I analyze whether the desideratum of an interpretation of Bohmian mechanics that is both explanatorily adequate and not committed to configuration space realism favors one of these two approaches to the theory over the other. Contrary to some recent claims in the literature, I argue that the quasi-Newtonian approach based on the idea of a quantum potential does not come out the winner. (shrink)

In this paper I examine parallels between C.S. Peirce's most mature account of signs and contemporary philosophy of language. I do this by first introducing a summary of Peirce's final account of Signs. I then use that account of signs to reconstruct Peircian answers to two puzzles of reference: The Problem of Cognitive Significance, or Frege's Puzzle; and The Same-Saying Phenomenon for Indexicals. Finally, a comparison of these Peircian answers with both Fregean and Direct Referentialist approaches to the puzzles highlights (...) interesting parallels and important differences between Peirce's final account of signs, and the concepts used in analytic philosophy of language. (shrink)

This article is devoted to the topical aspects of the transformation of society, science, and man in the context of E. László’s work «Macroshift». The author offers his own attempt to consider the attributes of macroshift and then use these attributes to operationalize further analysis, highlighting three essential elements: the world has come to a situation of technological indistinguishability between the natural and the artificial, to machines that know everything about humans. Antiquity aspired to beauty and saw beauty in realistic (...) art, but technology made indistinguishability possible, bringing the risks of deepfakes and post-truth. Following J. Bernal’s logic, the author distinguishes between different types of the future, comparing them with the Kantian triad of ethical questions: (1) What can we know? (2) What should we do? (3) What can I hope for? Under these conditions, the fact that technology has become a real tool of geopolitics is no longer just a matter for discussion, but a subject of deep philosophical consideration. AI is becoming not only an opportunity, but also a threat, on a scale that has never been seen before in our civilizational history. Therefore, the former, linear development of science gives way to nonlinearity. Society in the macroshift will be radically transformed, and the author identifies five main transformations of the current macroshift. The post-nonclassical approach in the analysis of scenarios for modeling the future, both accidentally possible and preferred, is becoming the most important tool of futurology and prognostics. The author describes the future around five social trends that will determine the economy and society of the coming decades. In addition, opportunities for the future development of science are proposed, subject to significant penetration of AI technologies. These technologies will have a fundamental impact on all aspects of our society, economy, and human existence. (shrink)

Purpose This paper aims to formalize long-term trajectories of human civilization as a scientific and ethical field of study. The long-term trajectory of human civilization can be defined as the path that human civilization takes during the entire future time period in which human civilization could continue to exist. -/- Design/methodology/approach This paper focuses on four types of trajectories: status quo trajectories, in which human civilization persists in a state broadly similar to its current state into the distant future; catastrophe (...) trajectories, in which one or more events cause significant harm to human civilization; technological transformation trajectories, in which radical technological breakthroughs put human civilization on a fundamentally different course; and astronomical trajectories, in which human civilization expands beyond its home planet and into the accessible portions of the cosmos. -/- Findings Status quo trajectories appear unlikely to persist into the distant future, especially in light of long-term astronomical processes. Several catastrophe, technological transformation and astronomical trajectories appear possible. -/- Originality/value Some current actions may be able to affect the long-term trajectory. Whether these actions should be pursued depends on a mix of empirical and ethical factors. For some ethical frameworks, these actions may be especially important to pursue. (shrink)

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)

Gerade weil das Bestehen auf Rangordnungen in der heutigen Gesellschaft anstößig und fremd wirkt, ist es lohnenswert, sich ihnen mit Nietzsche neu zu stellen, der sie als sein Problem bezeichnete. Er richtet sie gezielt gegen die Gleichheit, von der er befürchtet, ihr Anspruch auf Universalität verunmögliche Individualität, Anders-Sein und damit auch alle Größe. Den moralischen Wert der Gleichheit kritisieren heißt nicht, sich von demokratischen Grundprinzipien oder Errungenschaften zu verabschieden. Geklärte Rangverhältnisse reduzieren Komplexität, vereinfachen die Kommunikation, machen Verhalten erwartbar und vereinfachen (...) so die Orientierung. So könnte gerade in den modernen Ausprägungen der Demokratie ein offenerer Umgang mit Rangordnungen zu ihrer Stärkung beitragen. Die Nietzsche-Forschung hat eine Beschäftigung mit dem Begriff bisher weitgehend vermieden. Alberts schließt diese Forschungslücke. Er geht persönlichen, philologischen und philosophischen Anhaltspunkten für Nietzsches Denken nach und untersucht die Perspektiven, die dabei auf verschiedenste Lebensbereiche wie Natur, Religion, Moral, Wissenschaft und Interindividualität eröffnet werden. (shrink)

Cognitive agents, whether human or computer, that engage in natural-language discourse and that have beliefs about the beliefs of other cognitive agents must be able to represent objects the way they believe them to be and the way they believe others believe them to be. They must be able to represent other cognitive agents both as objects of beliefs and as agents of beliefs. They must be able to represent their own beliefs, and they must be able to represent beliefs (...) as objects of beliefs. These requirements raise questions about the number of tokens of the belief representation language needed to represent believers and propositions in their normal roles and in their roles as objects of beliefs. In this paper, we explicate the relations among nodes, mental tokens, concepts, actual objects, concepts in the belief spaces of an agent and the agent's model of other agents, concepts of other cognitive agents, and propositions. We extend, deepen, and clarify our theory of intensional knowledge representation for natural-language processing, as presented in previous papers and in light of objections raised by others. The essential claim is that tokens in a knowledge-representation system represent only intensions and not extensions. We are pursuing this investigation by building CASSIE, a computer model of a cognitive agent and, to the extent she works, a cognitive agent herself. CASSIE's mind is implemented in the SNePS knowledge-representation and reasoning system. (shrink)

SNePS, the Semantic Network Processing System 45, 54], has been designed to be a system for representing the beliefs of a natural-language-using intelligent system (a \cognitive agent"). It has always been the intention that a SNePS-based \knowledge base" would ultimatelybe built, not by a programmeror knowledge engineer entering representations of knowledge in some formallanguage or data entry system, but by a human informing it using a natural language (NL) (generally supposed to be English), or by the system reading books or (...) articles that had been prepared for human readers. Because of this motivation, the criteria for the development of SNePS have included: it should be able to represent anything and everything expressible in NL; it should be able to represent generic, as well as speci c information; it should be able to use the generic and the speci c information to reason and infer information implied by what it has been told; it cannot count on any particular order among the pieces of information it is given; it must continue to act reasonably even if the information it is given includes circular de nitions, recursive rules, and inconsistent information. (shrink)

The study of race and racism is an area of growth in philosophy. The quantity of research published under the banner of ‘the philosophy of race’ is increasing; research monographs and edited collections are appearing in greater numbers, and there is even a noticeable though still lamentably small increase in the number of professional posi- tions being advertised in the philosophy of race. However, one notable feature of this research is how much it focuses upon the racial context of the (...) USA. Most of its active and prominent researchers are based in the USA, nearly all new posts with designated research specialisms in race are at universities in the USA, and most of its key research questions are framed in the racial idiom and social context of the contemporary USA. In many respects, this is a good thing: if the philosophy of race cannot find fertile ground in the USA, there is little hope of it flourishing anywhere. However, this emphasis on the US context may have a negative side too. (shrink)

The acquisition of a new skill usually proceeds through five stages, from novice to expert, with a sixth stage of mastery available for highly motivated performers. In this chapter, we re-state the six stages of the Dreyfus Skill Model, paying new attention to the transitions and interrelations between them. While discussing the fifth stage, expertise, we unpack the claim that, “when things are proceeding normally, experts don’t solve problems and don’t make decisions; they do what normally works” (Dreyfus & Dreyfus, (...) 1988, pp. 30 – 31). This leads us to offer an account of the “perspectival deliberation” that arises for experts and masters and that is distinct from the calculative deliberation characteristic of the lower stages of skillfulness. (shrink)

Rationalists often argue that empiricism is incoherent and conclude, on that basis, that some knowledge is a priori. I contend that such arguments against empiricism cannot be parlayed into an argument in support of the a priori since rationalism is open to the same arguments. I go on to offer an alternative strategy. The leading idea is that, instead of offering a priori arguments against empiricism, rationalists should marshal empirical support for their position.

Is human free will compatible with the natural laws of the universe? To “compatibilists” who see free actions as emanating from the wants and reasons of human agents, free will looks perfectly plausible. However, “incompatibilists” claim to see the more ultimate sources of human action. The wants and reasons of agents are said to be caused by physical processes which are themselves mere natural results of the previous state of the world and the natural laws which govern it. This paper (...) argues that the incompatibilists make a mistake in appealing to such non-agent sources of human action. They fail to realize that free will may exist at one scale, but not at the scales where they look. When free will is considered from the correctly scaled perspective, it does seem compatible with determinism and natural laws. (shrink)

Can the machines that play board games or recognize images only in the comfort of the virtual world be intelligent? To become reliable and convenient assistants to humans, machines need to learn how to act and communicate in the physical reality, just like people do. The authors propose two novel ways of designing and building Artificial General Intelligence (AGI). The first one seeks to unify all participants at any instance of the Turing test – the judge, the machine, the human (...) subject as well as the means of observation instead of building a separating wall. The second one aims to design AGI programs in such a way so that they can move in various environments. The authors of the article thoroughly discuss four areas of interaction for robots with AGI and introduce a new idea of techno-umwelt bridging artificial intelligence with biology in a new way. (shrink)

Christopher Hill contends that the metaphysical modalities can be reductively explained in terms of the subjunctive conditional and that this reductive explanation yields two tests for determining the metaphysical modality of a proposition. He goes on to argue that his reductive account of the metaphysical modalities in conjunction with his account of modal knowledge underwrites the further conclusion that conceivability does not provide a reliable test for metaphysical possibility. I argue (1) that Hill’s reductive explanation of the metaphysical modalities in (...) terms of the subjunctive conditional does not yield a reductive explanation of knowledge of metaphysical modality in terms of knowledge of subjunctive conditionals, and (2) that his account of modal knowledge is at odds with his contention that conceivability does not provide epistemic access to metaphysical possibility. (shrink)

This paper addresses a family of issues surrounding the biological phenomenon of resistance and its representation in realist ontologies. The treatments of resistance terms in various existing ontologies are examined and found to be either overly narrow, internally inconsistent, or otherwise problematic. We propose a more coherent characterization of resistance in terms of what we shall call blocking dispositions, which are collections of mutually coordinated dispositions which are of such a sort that they cannot undergo simultaneous realization within a single (...) bearer. A definition of ‘protective resistance’ is proposed for use in the Infectious Disease Ontology (IDO) and we show how this definition can be used to characterize the antibiotic resistance in Methicillin-Resistant Staphylococcus aureus (MRSA). The ontological relations between entities in our MRSA case study are used alongside a series of logical inference rules to illustrate logical reasoning about resistance. A description logic representation of blocking dispositions is also provided. We demonstrate that our characterization of resistance is sufficiently general to cover two other cases of resistance in the infectious disease domain involving HIV and malaria. (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)

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)

This is the introduction to the Routledge Companion to Thought Experiments.

The growth of knowledge has always included opposing worldviews and clashes of distinct interests. This includes different rationalities which either have served or disserved the State. A Copernican world defied the Catholic Church. Cartesian philosophy and Newtonian physics incited a major split between an allegedly knowing subject and external realities. As an outcome, many dualisms emerged: subjectivity/objectivity, particular/universal, etc. Hegelian dialectics elaborated such approach to its most extreme. The pretension of social science to be value-free assumed a neutral observer collating (...) external facts. Yet both Hume and Adam Smith challenged Descartes cogito as banal, stressing that it is not because we think that we are but rather than how we think is who we have become through the values, dispositions and beliefs that we have consciously or less than consciously acquired from life experience, and that no perception is neutral. Hume anticipated Bourclieu both on habItus and also on reflexivity in his concept of the reflexive mind" yet this then was lost by the presumption, such as by Bertrand Russell, that Hume was a "mere empiricist". Logical positivism then claimed that an appeal to 'facts' could dismiss metaphysics, invoking the logical atomism of Russell and the early Wittgenstein. But which Wittgenstein transcended not in the sense of transcendental metaphysics, though he was deeply influenced by Schopenhauer, but - after a road to Damascus encounter with Sraffa - coming to realise that meanings depend on context and that their context needs to be understood. Which we suggest in this paper is that these issues are highly relevant to the troubled relationship between rationality - or rationalities - and the State. (shrink)

Policy-making must always pay attention to race. That is the central claim of this chapter. Regardless of whether some particular policy debate is ostensibly “racial”, policy-makers must attend to questions of race, because race is a ubiquitous, but frequently unnoticed, feature of our world. I examine the type of philosophical question about race that I think philosophers and policy-makers would do well to examine and consider how the question “What is race?” is pertinent to policy debate. Examples will be drawn (...) from Australia, the United States, and Britain to illustrate these abstract arguments. (shrink)

This paper addresses the use of dispositions in the Infectious Disease Ontology (IDO). IDO is an ontology constructed according to the principles of the Open Biomedical Ontology (OBO) Foundry and uses the Basic Formal Ontology (BFO) as an upper ontology. After providing a brief introduction to disposition types in BFO and IDO, we discuss three general techniques for representing combinations of dispositions under the headings blocking dispositions, complementary dispositions, and collective dispositions. Motivating examples for each combination of dispositions is given (...) along with a specific use case in IDO. Description logic restrictions are used to formalize statements relating to these combinations. (shrink)

Pragmatist approaches to truth have often been judged in light of a caricature of William James’ claim that, “the ‘true’ is only the expedient in our way of thinking”. This unfortunate caricature, where truth is claimed to be ‘whatever it’s useful to believe’, means pragmatist theories of truth are generally seen as non-starters, or unworthy of serious attention. And even leaving aside stalking-horse versions of classical pragmatism, there is also a view that whatever contemporary pragmatists have been doing with ‘truth’ (...) it bears little resemblance to the projects that concern analytic philosophers. For example, Rorty’s frequent exhortations for pragmatists to turn their back on truth and look... (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)

Amongst the many social factors that impact upon children, race is arguably one of the largest. Race is an ever-present social category that governs many elements of a child’s interaction with others, and especially for racial minority children it exerts a deep influence on their understanding of themselves. In this chapter, we shall begin by examining what the concept of race really amounts to, emphasizing its status as a socially constructed concept, before examining in the following section how children first (...) come to recognize the existence of race, and to understand their own racial identity.We will then look at two important areas that illustrate the profound impact that the social presence of race and the child’s developing understanding of racial identity have upon the social conditions of many children. First, we will examine how race and childhood intersect in matters of educational opportunity and achievement, before moving on to examine the issue of transracial adoption in the final section. (shrink)

Is it possible for me to refer to someone other than myself with the word "I"? Or somewhere other than where I am with the word "here"? Or some time other than the present with the word "now"? David Kaplan, who provides the best worked out semantics for pure-indexical terms like "I," "here," and "now" suggests, quite intuitively, that I could not. Put simply, "I am here now" looks as though I can never utter it and have it turn out (...) false. But, intuitive as this seems, one need only hear the answering machine message, "Sorry! I am not here now," to see that there may be problems. If! can't fail to refer to where I am and when I'm there with "here" and "now," why is my apparently contradictory assertion so readily comprehensible? Many have been quick to abandon Kaplan's account of pure-indexicals in the face of such problems. The focus of this paper, though, is those who develop sophisticated accounts of how we determine different contexts for applying pure-indexicals. The hope is that this handles problem cases while allowing us to retain most of Kaplan's theory. However, this paper introduces and examines some additional uses of pure-indexicals which pose an interesting problem for the context-determination adaptation of Kaplan's account. It is argued that context-determination theorists cannot explain these cases in the same way that they explain standard problem cases, and that any reason they can offer for denying the relevance of such cases to accounts of pure-indexicals will apply equally well to the cases that motivate their theories, thus rendering context-determination accounts superfluous. In what follows, then, there is a brief summary of Kaplan's account, the problem cases that threaten it, and the context-determination theorist's response to these problem cases. The interesting and problematic uses of pure-indexicals that context-determination accounts cannot explain are then introduced, and an explanation is given of why there is no way for the context-determination theorist to exclude these cases from our accounts of pure-indexicals without also excluding the cases that motivate their own theory. (shrink)