A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York: Oxford University Press, 2020.

This paper considers an argument from Rosenberg (Thinking about Knowing, 2002) that truth is not and cannot be the aim of belief. Here, I reconstruct what I take to be the most well worked out version of this idea tracing back to Rorty and Davidson. In response, I also distinguish two things the truth-aim could be: a goal regulating our executable epistemic conduct and an end which determines the types of evaluation, susceptibility to which is partially constitutive of what (...) a belief is. (shrink)

Central to Sellars’ account of human cognition was a clear distinction, expressed in varying terminology in his different works, “between conceptual and nonconceptual representations.” Those who have come to be known as ‘left-wing Sellarsians’, such as Richard Rorty, Robert Brandom, and John McDowell, have tended to reject Sellars’ appeals to nonconceptual sensory representations. So-called ‘right-wing Sellarsians’ such as Ruth Millikan and Jay Rosenberg, on the other hand, have embraced and developed aspects of Sellars’ account, in particular the central underlying (...) idea that human perceptual cognition involves a certain naturalistic ‘mapping’ correspondence or structural ‘picturing’ isomorphism between internal mental representations and the layout and behavior of objects in the surrounding environment. Sellars, despite his defenses of nonconceptual representational content throughout his career, has with no small irony come to be cited as one of the “founding fathers of conceptualism.” While recognizing the strong conceptualist elements in Sellars’ Kantian account of perceptual cognition, I argue that a central core of Sellars’ account of nonconceptual sensory contents does not by itself fall afoul of the philosophical worries raised by the left-leaning Sellarsians, and that in fact it has significant merits in its own right. (shrink)

One of the better known of the many bons mots of the Sellarsian corpus concerns his definition of philosophy: it is the attempt to understand “how things in the broadest possible sense of the term hang together in the broadest possible sense of the term.” When applied to Sellars’s philosophy in particular, one might be forgiven for doubting the possible success of such an endeavor. Richard Rorty once quipped of Sellars’s followers that they were either “left-wing” or “right-wing,” emphasizing one (...) line of thought in Sellars’s work to the exclusion of the other. The two lines of thought to which Rorty referred were, first, Sellars’s conception of the normativity of all thought and language, famously captured by his evocative phrase “the space of reasons.” Second, and equally important to Sellars, was his “scientia mensura,” the notion ðshared with contemporaries such as Quine that “in the dimension of describing and explaining the world, science is the measure of all things, of what is that it is, and of what is not that it is not” Wilfrid Sellars, “Empiricism and the Philosophy of Mind,” Minnesota Studies in the Philosophy of Science 1 [1956]: 41,303). The left-wing adherents to the normativity thesis included Rorty himself, along with John McDowell and Robert Brandom. Among the right-wing naturalists are such as Ruth Milliken, Jay Rosenberg, and Paul Churchland. Such a disparate group of philosophers suggests irreconcilable differences. Brandom himself reports in the introduction to his newest book, From Empiricism to Expressivism, that, “for a dismayingly long time, I did not really see how all the pieces of [Sellar's] work hung together, even in the broadest possible sense of the term”. (shrink)

Martin E. Rosenberg -/- The Gift of Silence: Towards an Anthropology of Jazz Improvisation as Neuro-Resistance. -/- ABSTRACT: -/- This essay addresses how the complex processes that occur during jazz improvisation enact behaviors that resemble the logic of gift exchange first described by Marcel Mauss. It is possible to bring to bear structural, sociological, political economical, deconstructive or even ethical approaches to what constitutes gift exchange during the performance of jazz. Yet, I would like to shift from focusing this (...) analysis of jazz improvisation with reference to the language of music as symbolic action (which all of these approaches require), to grounding improvisation in embodied and distributed cognition, the performance of which begins with a ritual gift of silence. By silence, I refer to the embodied, yet shared pure duration as felt synchrony within an individual performer, that extends to the members of an ensemble. Thus, I refer to both aesthetic and micro-political implications of embodied, yet also distributed musical cognition in real time. -/- For jazz musicians, embodied silence becomes the initial condition for processes of cognitive bifurcation. For it is bifurcation that attracts us to jazz in the first place. Here I expand my previous work establishing similarities in the behavior of bifurcating systems in physical and cognitive sciences to the unfolding of ambiguity in real time during improvisation with respect to polyphony, polytonality and polyrhythms in the history of jazz from Charlie Parker to Ornette Coleman. We can therefore re-conceptualize jazz improvisation as a subversive antidote for processes of determination identified in a sub-discipline of cultural studies called “cognitive capitalism.” By examining silence from this anthropological perspective, we can conceive of jazz performance as a ritualized resistance to top-down cognitive control immanent with social and digital networks. The ritual enactment that is jazz improvisation points towards an aesthetics of bifurcation that is simultaneously a micro-politics of neuro-resistance. In other words, I argue that freedom of thought requires freedom from thought as an initial condition. -/- Yet, I emphasize the empirical rather than mystical grounds to this gift of silence. The valorization of silence by jazz musicians is not simply etiquette, an ethics of reciprocity for performers exchanging “riffs,” but an initial condition that jazz performers (and, I would argue, listeners) experience in their bodies, thus linking embodied cognition to a collective field of cultural production that emerges from each embodied individual, and yet also pervades the ensemble in ways reminiscent of feedback loops in complex systems. The recent and remarkable research on music and the brain has demonstrated that it is now possible to describe jazz improvisation as possessing both embodied and distributed cognitive properties. The emergent neuronal ensemble behavior within the individual that is visible in jazz improvisors, discovered by the neuroscientists at Johns Hopkins led by Charles Limb, bears striking resemblance to the interactive behaviors of the jazz ensemble itself. Thus, it is by recourse to recent research by myself and others into the cognitive neuroscience of music generally, and jazz improvisation specifically, that the empirical grounds for an anthropology of neuro-resistance become visible. (shrink)

Forcing occurs when a magician influences the audience's decisions without their awareness. To investigate the mechanisms behind this effect, we examined several stimulus and personality predictors. In Study 1, a magician flipped through a deck of playing cards while participants were asked to choose one. Although the magician could influence the choice almost every time (98%), relatively few (9%) noticed this influence. In Study 2, participants observed rapid series of cards on a computer, with one target card shown longer than (...) the rest. We expected people would tend to choose this card without noticing that it was shown longest. Both stimulus and personality factors predicted the choice of card, depending on whether the influence was noticed. These results show that combining real-world and laboratory research can be a powerful way to study magic and can provide new methods to study the feeling of free will. (shrink)

In this paper, I will discuss the relevance of epistemology of disagreement to political disagreement. The two major positions in the epistemology of disagreement literature are the steadfast and the conciliationist approaches: while the conciliationist says that disagreement with one’s epistemic equals should compel one to epistemically “split the difference” with those peers, the steadfast approach claims that one can maintain one’s antecedent position even in the face of such peer disagreement. Martin Ebeling applies a conciliationist approach to democratic deliberations, (...) arguing that deliberative participants ought to pursue full epistemic conciliation when disagreeing with their peers on political questions. I argue that this epistemic “splitting the difference” could make participants vulnerable to certain cognitive biases. We might avoid these biases by paying more attention to the deliberative environment in which disagreement takes place. (shrink)

Explores the role of dance education both inside and outside the arts.

We may correctly say that Søren Kierkegaard is one of the most influential Christian-religious thinkers of the modern era, but are we equally justified in categorizing his writings as foundationally religious? This paper challenges a prevailing exclusive-theological interpretation that contends that Kierkegaard principally writes from a Christian dogmatic viewpoint. I argue that Kierkegaard’s religion is better understood as an outcome of his philosophical analysis of human nature. Conclusively, we should appreciate Kierkegaard first as a philosopher, whose aim is the explication (...) of human subjectivity, and not primarily as an orator of Christian orthodoxy. (shrink)

What is art? What is beauty? Why are we driven to create? People have been struggling with the answers to these questions for millenia. In this book Jay Friedenberg examines age old and contemporary responses to the perceptual and performative side of aesthetics. The work is wide-ranging in scope, addressing all forms of art including painting, photography, writing, film, music, theater, dance, and more. Issues are examined from multiple perspectives with separate chapters on history, philosophy, mathematics, physics, psychology, and neuroscience. (...) This beautifully illustrated book can be read by a general audience or used as an undergraduate or graduate textbook for courses in art history, aesthetics, or media studies. (shrink)

In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...) the technological inability to directly test the theory. The appropriate response, according to Dawid, is to acknowledge this development and widen the canons of acceptable scientific methods. As I’ll argue, however, the current situation in fundamental physics does not require either of these responses. Rather, as I’ll suggest, much of the controversy stems from a failure to properly distinguish the “context of justification” from the “context of pursuit”. Both those who accuse string theorists of betraying the scientific method and those who advocate an enlarged conception of scientific methodology objectionably conflate epistemic justification with judgements of pursuit-worthiness. Once we get clear about this distinction and about the different norms governing the two contexts, the current situation in fundamental physics becomes much less puzzling. After defending this diagnosis of the controversy, I’ll show how the argument patterns that have been posited by Dawid as constituting an emergent methodological revolution in science are better off if reworked as arguments belonging to the context of pursuit. (shrink)

In this paper, I consider the relationship between Inference to the Best Explanation and Bayesianism, both of which are well-known accounts of the nature of scientific inference. In Sect. 2, I give a brief overview of Bayesianism and IBE. In Sect. 3, I argue that IBE in its most prominently defended forms is difficult to reconcile with Bayesianism because not all of the items that feature on popular lists of “explanatory virtues”—by means of which IBE ranks competing explanations—have confirmational import. (...) Rather, some of the items that feature on these lists are “informational virtues”—properties that do not make a hypothesis \ more probable than some competitor \ given evidence E, but that, roughly-speaking, give that hypothesis greater informative content. In Sect. 4, I consider as a response to my argument a recent version of compatibilism which argues that IBE can provide further normative constraints on the objectively correct probability function. I argue that this response does not succeed, owing to the difficulty of defending with any generality such further normative constraints. Lastly, in Sect. 5, I propose that IBE should be regarded, not as a theory of scientific inference, but rather as a theory of when we ought to “accept” H, where the acceptability of H is fixed by the goals of science and concerns whether H is worthy of commitment as research program. In this way, IBE and Bayesianism, as I will show, can be made compatible, and thus the Bayesian and the proponent of IBE can be friends. (shrink)

The conciliationist and steadfast approaches have dominated the conversation in the epistemology of disagreement. In this paper, drawing on Jennifer Lackey’s justificationist approach and the casuistry paradigm in medical ethics, I will develop a more contextual epistemology of political disagreement. On this account, a given political disagreement’s scope, domain, genealogy, and consequence can be helpful for determining whether we should respond to that disagreement at the level of our confidence, beliefs, or with policy. Though some may argue that responding with (...) policy is a practical consideration instead of an epistemic matter, I argue that even policy responses to disagreements have an epistemic dimension to them that we should not ignore. (shrink)

The Preface Paradox is often discussed for its implications for rational belief. Much less discussed is a variant of the Preface Paradox for knowledge. In this paper, I argue that the most plausible closure-friendly resolution to the Preface Paradox for Knowledge is to say that in any given context, we do not know much. I call this view “Socraticism”. I argue that Socraticism is the most plausible view on two accounts—(1) this view is compatible with the claim that most of (...) our knowledge ascriptions are true, and (2) provided that (1) is true, the costs of accepting Socraticism are much less than the costs of accepting any other resolution to the Paradox. I argue for (1) in Section 2 by developing a question-sensitive contextualist model for knowledge that shows how Socraticism is compatible with the claim that most of our knowledge ascriptions are true. I also argue how this contextualist model can achieve this result where other contextualist models fail. I then consider other closure-friendly solutions to the paradox in Section 3 and show how accepting those solutions forces us to give up a number of plausible epistemic principles. (shrink)

In this article, I will provide a critical overview of the form of non-deductive reasoning commonly known as “Inference to the Best Explanation” (IBE). Roughly speaking, according to IBE, we ought to infer the hypothesis that provides the best explanation of our evidence. In section 2, I survey some contemporary formulations of IBE and highlight some of its putative applications. In section 3, I distinguish IBE from C.S. Peirce’s notion of abduction. After underlining some of the essential elements of IBE, (...) the rest of the entry is organized around an examination of various problems that IBE confronts, along with some extant attempts to address these problems. In section 4, I consider the question of when a fact requires an explanation, since presumably IBE applies only in cases where some explanation is called for. In section 5, I consider the difficult question of how we ought to understand IBE in light of the fact that among philosophers, there is significant disagreement about what constitutes an explanation. In section 6, I consider different strategies for justifying the truth-conduciveness of the explanatory virtues, e.g., simplicity, unification, scope, etc., criteria which play an indispensable role in any given application of IBE. In section 7, I survey some of the most recent literature on IBE, much of which consists of investigations of the status of IBE from the standpoint of the Bayesian philosophy of science. (shrink)

Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. Which (...) levels of explicability are needed to obtain informed consent when utilizing medical AI? Arguments We proceed in five steps: First, we map the terms commonly associated with explicability as described in the ethics and computer science literature, i.e., disclosure, intelligibility, interpretability, and explainability. Second, we conduct a conceptual analysis of the ethical requirements for explicability when it comes to informed consent. Third, we distinguish hurdles for explicability in terms of epistemic and explanatory opacity. Fourth, this then allows to conclude the level of explicability physicians must reach and what patients can expect. In a final step, we show how the identified levels of explicability can technically be met from the perspective of computer science. Throughout our work, we take diagnostic AI systems in radiology as an example. Conclusion We determined four levels of explicability that need to be distinguished for ethically defensible informed consent processes and showed how developers of medical AI can technically meet these requirements. (shrink)

This letter addresses the editorial decision to publish the article, “Research on group differences in intelligence: A defense of free inquiry” (Cofnas, 2020). Our letter points out several critical problems with Cofnas's article, which we believe should have either disqualified the manuscript upon submission or been addressed during the review process and resulted in substantial revisions.

Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of general ethical (...) frameworks to clinical decision-making entails conceptual questions: Is explicability a free-standing principle? Is it already covered by the well-established four bioethical principles? Or is it an independent value that needs to be recognized as such in medical practice? We discuss these questions in a conceptual-ethical analysis, which builds upon the findings of an empirical document analysis. On the example of the medical specialty of radiology, we analyze the position of radiological associations on the ethical use of medical AI. We address three questions: Are there references to explicability or a similar concept? What are the reasons for such inclusion? Which ethical concepts are referred to? (shrink)

‘The problem with simulations is that they are doomed to succeed.’ So runs a common criticism of simulations—that they can be used to ‘prove’ anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural (...) analysis of simulation developed in previous work to provide an evaluative account of the variety of ways in which simulations do fail. We expand the structural analysis in terms of the relationship between a simulation and its real-world target emphasizing the important role of aspects intended to correspond and also those specifically intended not to correspond to reality. The result is an outline both of the ways in which simulations can fail and the scientific importance of those various forms of failure. (shrink)

In a recent issue of Philosophy East and West Douglas Berger defends a new reading of Mūlamadhyamakakārikā XXIV : 18, arguing that most contemporary translators mistranslate the important term prajñaptir upādāya, misreading it as a compound indicating "dependent designation" or something of the sort, instead of taking it simply to mean "this notion, once acquired." He attributes this alleged error, pervasive in modern scholarship, to Candrakīrti, who, Berger correctly notes, argues for the interpretation he rejects.Berger's analysis, and the reading of (...) the text he suggests is grounded on that analysis, is insightful and fascinating, and certainly generates an understanding of Nāgārjuna's enterprise that is welcome .. (shrink)

We develop a Bayesian framework for thinking about the way evidence about the here and now can bear on hypotheses about the qualitative character of the world as a whole, including hypotheses according to which the total population of the world is infinite. We show how this framework makes sense of the practice cosmologists have recently adopted in their reasoning about such hypotheses.

Some properties are causally relevant for a certain effect, others are not. In this paper we describe a problem for our understanding of this notion and then offer a solution in terms of the notion of a program explanation.

The prescriptive force of methodological rules rests, I argue, on the acceptance of scientific theories; that of the most general methodological rules rests on theories in the philosophy of science, which differ from theories in the several sciences only in generality and abstraction. I illustrate these claims by reference to methodological disputes in social science and among philosophers of science. My conclusions substantiate those of Laudan except that I argue for the existence of transtheoretical goals common to all scientists and (...) concrete enough actually to have bearing on methodology. And I argue that Laudan is committed to such goals himself, willy nilly. (shrink)

In this paper, I critically evaluate several related, provocative claims made by proponents of data-intensive science and “Big Data” which bear on scientific methodology, especially the claim that scientists will soon no longer have any use for familiar concepts like causation and explanation. After introducing the issue, in Section 2, I elaborate on the alleged changes to scientific method that feature prominently in discussions of Big Data. In Section 3, I argue that these methodological claims are in tension with a (...) prominent account of scientific method, often called “Inference to the Best Explanation”. Later on, in Section 3, I consider an argument against IBE that will be congenial to proponents of Big Data, namely, the argument due to Roche and Sober Analysis, 73:659–668, that “explanatoriness is evidentially irrelevant.” This argument is based on Bayesianism, one of the most prominent general accounts of theory-confirmation. In Section 4, I consider some extant responses to this argument, especially that of Climenhaga Philosophy of Science, 84:359–368,. In Section 5, I argue that Roche and Sober’s argument does not show that explanatory reasoning is dispensable. In Section 6, I argue that there is good reason to think explanatory reasoning will continue to prove indispensable in scientific practice. Drawing on Cicero’s oft-neglected De Divinatione, I formulate what I call the “Ciceronian Causal-nomological Requirement”, which states, roughly, that causal-nomological knowledge is essential for relying on correlations in predictive inference. I defend a version of the CCR by appealing to the challenge of “spurious correlations,” chance correlations which we should not rely upon for predictive inference. In Section 7, I offer some concluding remarks. (shrink)

Recent debates in psychopathy studies have articulated concerns about false-positives in assessment and research sampling. These are pressing concerns for research progress, since scientific quality depends on sample quality, that is, if we wish to study psychopathy we must be certain that the individuals we study are, in fact, psychopaths. Thus, if conventional assessment tools yield substantial false-positives, this would explain why central research is laden with discrepancies and nonreplicable findings. This paper draws on moral psychology in order to develop (...) tentative theory-driven exclusion criteria applicable in research sampling. Implementing standardized procedures to discriminate between research participants has the potential to yield more homogenous and discrete samples, a vital prerequisite for research progress in etiology, epidemiology, and treatment strategies. (shrink)

In this chapter we take stock of some of the complexities of the sprawling field of AI ethics. We consider questions like "what is the proper scope of AI ethics?" And "who counts as an AI ethicist?" At the same time, we flag several potential uses and abuses of AI ethics. These include challenges for the AI ethicist, including what qualifications they should have; the proper place and extent of futuring and speculation in the field; and the dilemmas concerning how (...) we use our public and academic resources. (shrink)

Classical cognitivist and connectionist models posit a Cartesian disembodiment of mind assuming that brain events can adequately explain thought and related notions such as intellect. Instead, we argue for the bodily basis of thought and its continuity beyond the sensorimotor stage. Indeed, there are no eternally fixed representations of the external world in the "motor system," rather, it is under the guidance of both internal and external factors with important linkages to frontal, parietal, cerebellar, basal ganglionic, and cingulate gyrus areas (...) that subserve cognitive and motivational activities. Indeed, the motor system, including related structures, is a self-organizing dynamical system contextualized among musculoskeletal, environmental (e.g., gravity), and social forces. We do not simply inhabit our bodies; we literally use them to think with. (shrink)

What does it mean to be human? Philosophers and theologians have been wrestling with this question for centuries. Recent advances in cognition, neuroscience, artificial intelligence and robotics have yielded insights that bring us even closer to an answer. There are now computer programs that can accurately recognize faces, engage in conversation, and even compose music. There are also robots that can walk up a flight of stairs, work cooperatively with each other and express emotion. If machines can do everything we (...) can, does that mean we are machines? -/- This book examines whether an artificial person can be constructed and if so, what that might tell us about our future and ourselves. Different human capacities such as perception, creativity, consciousness, social behavior, and free will are described in separate chapters. Technological advances in these areas are summarized and compared to our own abilities. The book adopts a multi-disciplinary approach, with a naturalistic perspective drawn from biology and psychology matched against a technological perspective based on computer science and robotics. (shrink)

This book is a collection of essays written on a variety of topics relevant to the future of humankind. The chapters are organized foundationally starting with how it is we can know and understand reality. This is followed by descriptions of future technologies and the new science that will drive them. Then we take a look at ourselves, how smart we are and how intelligent our machines may become. The final sections paint a larger picture, examining civilization with a focus (...) on what we’ve done wrong historically and how we may correct such mistakes. (shrink)

Marchetto of Padua, Lucidarium, authentic, plagal, perfect, imperfect, pluperfect, mixed, odd numbers, even numbers, Aristotle, Metaphysics, Alcmaeon of Croton, causa significationis, dyapente, diatesseron, concord, senaria, Pomerium, Donatus, Vetulus, mode 5, commixed, corda, discant, dyad, voice leading.

In this paper, I examine Cicero’s oft-neglected De Divinatione, a dialogue investigating the legitimacy of the practice of divination. First, I offer a novel analysis of the main arguments for divination given by Quintus, highlighting the fact that he employs two logically distinct argument forms. Next, I turn to the first of the main arguments against divination given by Marcus. Here I show, with the help of modern probabilistic tools, that Marcus’ skeptical response is far from the decisive, proto-naturalistic assault (...) on superstition that it is sometimes portrayed to be. Then, I offer an extended analysis of the second of the main arguments against divination given by Marcus. Inspired by Marcus’ second main argument, I formulate, explicate, and defend a substantive principle of scientific methodology that I call the “Ciceronian Causal-Nomological Requirement” (CCR). Roughly, this principle states that causal knowledge is essential for relying on correlations in predictive inference. Although I go on to argue that Marcus’ application of the CCR in his debate with Quintus is dialectically inadequate, I conclude that De Divinatione deserves its place in Cicero’s philosophical corpus, and that ultimately, its significance for the history and philosophy of science ought to be recognized. (shrink)

In this article, I consider an important challenge to the popular theory of scientific inference commonly known as ‘inference to the best explanation’, one that has received scant attention.1 1 The problem is that there exists a wide array of rival models of explanation, thus leaving IBE objectionably indeterminate. First, I briefly introduce IBE. Then, I motivate the problem and offer three potential solutions, the most plausible of which is to adopt a kind of pluralism about the rival models of (...) explanation. However, I argue that how ranking explanations on this pluralistic account of IBE remains obscure and pluralism leads to contradictory results. In light of these objections, I attempt to dissolve the problem by showing why IBE does not require a ‘model’ of explanation and by giving an account of what explanation consists in within the context of IBE. (shrink)

Is simulation some new kind of science? We argue that instead simulation fits smoothly into existing scientific practice, but does so in several importantly different ways. Simulations in general, and computer simulations in particular, ought to be understood as techniques which, like many scientific techniques, can be employed in the service of various and diverse epistemic goals. We focus our attentions on the way in which simulations can function as (i) explanatory and (ii) predictive tools. We argue that a wide (...) variety of simulations, both computational and physical, are best conceived in terms of a set of common features: initial or input conditions, a mechanism or set of rules, and a set of results or output conditions. Studying simulations in these terms yields a new understanding of their character as well as a body of normative recommendations for the care and feeding of scientific simulations. (shrink)

Philippine folk dances can be dated back as early as the pre-colonial period which inherited by our forefathers and passed through several generations of Filipinos. These traditional dances are considered treasures of our homeland for they depict the humble beginnings of our native countrymen and serve as a symbol of national identity. The study utilized focused ethnography and was limited on the documentation of the ethnic dance of Ayta Ambala’s tribe, their cultural values along with its cultural heritage situated at (...) Barangay Tubo-Tubo, Dinalupihan, Bataan which were considered unpublished, especially their respective dance patterns or movements. There were ten (10) informants involved in the study. Five (5) were key informants (KIs) who represent the emic perspective while five (5) were general informants (GIs) who represent the etic perspective of the paper. Findings revealed that Dances of Ayta Ambala include: Courtship (Sayaw Magligaw), Ceremonial (Sayaw Talipe), and Occupational (Sayaw Pangangaho). The said dances reflect different activities that are commong among the tribe. It also includes the historical background, costume, time signature, props, structural formation, dance steps, and figures. Although the values are not directly presented, these are still manifesting through the themes of their dances. Included in the cultural values are bravery, respect, and gratitude which are also part of the embodiment of different dances of Ayta Ambala. As observed, the other two emerging themes are also connected to the cultural heritage of Ayta Ambala. This means, their dances mirror their surroundings, their daily activities, and their identity as tribes. The emerging themes on cultural heritage are religious beliefs, courtships, and livelihood. (shrink)

In this paper, I describe some strategies for teaching an introductory philosophy of science course to Science, Technology, Engineering, and Mathematics (STEM) students, with reference to my own experience teaching a philosophy of science course in the Fall of 2020. The most important strategy that I advocate is what I call the “Second Philosophy” approach, according to which instructors ought to emphasize that the problems that concern philosophers of science are not manufactured and imposed by philosophers from the outside, but (...) rather are ones that arise internally, during the practice of science itself. To justify this approach, I appeal to considerations from both educational research and the epistemology of testimony. In addition, I defend some distinctive learning goals that philosophy of science instructors ought to adopt when teaching STEM students, which include rectifying empirically well-documented shortcomings in students’ conceptions of the “scientific method” and the “nature of science.” Although my primary focus will be on teaching philosophy of science to STEM students, much of what I propose can be applied to non-philosophy majors generally. Ultimately, as I argue, a successful philosophy of science course for non-philosophy majors must be one that advances a student’s science education. The strategies that I describe and defend here are aimed at precisely that end. (shrink)

Sentimentalist aesthetic theories, broadly construed, posit that emotions play a fundamental role in aesthetic experiences. Jesse Prinz has recently proposed a reductionistic version of sentimentalist aesthetics, suggesting that it is the discrete feeling of wonder that makes an experience aesthetic. In this contribution, we draw on Prinz’s proposal in order to outline a novel version of a sentimentalist theory. Contrasting Prinz’s focus on a single emotion, we argue that an aesthetic experience is rudimentarily composed of a plurality of emotions. We (...) acknowledge and discuss significant problems that follow from such a theory, arguing that a pluralist version of sentimentalism is nonetheless the soundest position within sentimentalist aesthetics. (shrink)

The aim of this dissertation is to offer and defend a correspondence theory of truth. I begin by critically examining the coherence, pragmatic, simple, redundancy, disquotational, minimal, and prosentential theories of truth. Special attention is paid to several versions of disquotationalism, whose plausibility has led to its fairly constant support since the pioneering work of Alfred Tarski, through that by W. V. Quine, and recently in the work of Paul Horwich. I argue that none of these theories meets the correspondence (...) intuition---that a true sentence or proposition in some way corresponds to reality---despite the explicit claims by each to capture this intuition. I distinguish six versions of the correspondence theory, and defend two against traditional objections, standardly taken as decisive against them, and show, plainly, that these two theories capture the correspondence intuition. Due to the importance of meeting this intuition, only these two theories stands a chance of being a satisfactory theory of truth. I argue that the version of the correspondence theory incorporating a simple semantic representation relation is preferable to its rival, for which the representation relation is complex. I present and argue for a novel version of this correspondence theory according to which truth is a correspondence property sensitive to semantic context. One consequence of this context-sensitivity is that an ungrounded sentence does not express a proposition. In addition to accounting for the similarity between the Liar and Truth-Teller sentences, this theory of truth is immune to the Liar Paradox, including empirical versions. It is argued that the Liar Paradox is devastating to all of the other theories above, and even formal theories of truth designed to solve it, such as the revision and vagueness theories. Customized versions of the Liar Paradox besetting this theory are handled by its context-sensitivity, and by enforcing the distinction between truth and truth value. This same pair of considerations also yields solutions to Lob's Paradox and Grelling's Paradox. Arguments similar to those given to defend this correspondence theory show that with one minor alteration, Kripke's fixed point theory may be used to model this correspondence notion of truth. (shrink)

These essays draw on work in the history and philosophy of science, the philosophy of mind and language, the development of concepts in children, conceptual..

Purpose: The method of diagnosing diabetic retinopathy (DR) through artificial intelligence (AI)-based systems has been commercially available since 2018. This introduces new ethical challenges with regard to obtaining informed consent from patients. The purpose of this work is to develop a checklist of items to be disclosed when diagnosing DR with AI systems in a primary care setting. -/- Methods: Two systematic literature searches were conducted in PubMed and Web of Science databases: a narrow search focusing on DR and a (...) broad search on general issues of AI-based diagnosis. An ethics content analysis was conducted inductively to extract two features of included publications: (1) novel information content for AI-aided diagnosis and (2) the ethical justification for its disclosure. -/- Results: The narrow search yielded n = 537 records of which n = 4 met the inclusion criteria. The information process was scarcely addressed for primary care setting. The broad search yielded n = 60 records of which n = 11 were included. In total, eight novel elements were identified to be included in the information process for ethical reasons, all of which stem from the technical specifics of medical AI. -/- Conclusions: Implications for the general practitioner are two-fold: First, doctors need to be better informed about the ethical implications of novel technologies and must understand them to properly inform patients. Second, patient's overconfidence or fears can be countered by communicating the risks, limitations, and potential benefits of diagnostic AI systems. If patients accept and are aware of the limitations of AI-aided diagnosis, they increase their chances of being diagnosed and treated in time. (shrink)

We propose that there are four fundamental kinds of metaphor that are uniquely mapped onto specific brain ‘‘networks’’ and present preliterate (i.e., evolutionary, including before the appearance of written language in the historical record), prelinguistic (i.e., developmental, before the appearance of speech in human development), and extralinguistic (i.e., neuropsychological, cognitive) evidence supportive of this view. We contend that these basic metaphors are largely nonconceptual and entail (a) perceptual–perceptual, (b) cross-modal, (c) movement–movement, and (d) perceptual-affective mappings that, at least, in the (...) initial stages of processing may operate largely outside of conscious awareness. In opposition to our basic metaphor theory (BmT), the standard theory (SmT) maintains that metaphor is a conceptual mapping from some base domain to some target domain and/or represents class-inclusion (categorical) assertions. The SmT captures aspects of secondary or conceptual metaphoric relations but not primary or basic metaphoric relations in our view. We believe our theory (BmT) explains more about how people actually recognize or create metaphoric associations across disparate domains of experience partly because they are ‘‘pre-wired’’ to make these links. (shrink)

I seek to emphasize Immanuel Kant’s lingering and unsavory impact on medical ethics by emphasizing Kantian ethics’ disregard for non- rational humans. We must be considerate when discussing individuals who have some form of dementia, conditions that irreversibly diminish the ability to use rational thought, sometimes to a degree of severity that hinders essential daily functions. I argue that to consider ourselves proponents of human equality we must treat humans with dementia as members of the kingdom of ends.

Panqualityism, recently defended by Sam Coleman, is a variety of Russellian monism on which the categorical properties of fundamental physical entities are qualities, or, in Coleman’s exposition, unconscious qualia. Coleman defends a quotationalist, higher-order thought version of panqualityism. The aim of this paper is, first, to demonstrate that a first-order representationalist panqualityism is also available, and to argue positively in its favor. For it shall become apparent that quotationalist and first-order representationalist panqualityism are, in spite of their close similarities, radically (...) different theories: quotationalist panqualityism locates qualities in the subject of an experience, while first-order panqualityism locates qualities in the world. I argue that this makes quotationalist panqualityism implausible and first-order, representationalist panqualityism a highly natural, elegant, and intuitive theory. (shrink)

If a future AI system can enjoy far more well-being than a human per resource, what would be the best way to allocate resources between these future AI and our future descendants? It is obvious that on total utilitarianism, one should give everything to the AI. However, it turns out that every Welfarist axiology on the market also gives this same recommendation, at least if we assume consequentialism. Without resorting to non-consequentialist normative theories that suggest that we ought not always (...) create the world with the most value, or non-welfarist theories that tell us that the best world may not be the world with the most welfare, I propose a new theory that justifies giving some resources to humanity in the face of overwhelming AI well-being. I call this new theory, “Group Prioritarianism". (shrink)

In this paper, I discuss the ways in which epistemic anxiety promotes well-being, specifically by examining the positive contributions that feelings of epistemic anxiety make toward intellectually virtuous inquiry. While the prospects for connecting the concept of epistemic anxiety to the two most prominent accounts of intellectual virtue, i.e., “virtue-reliabilism” and “virtue-responsibilism”, are promising, I primarily focus on whether the capacity for epistemic anxiety counts as an intellectual virtue in the reliabilist sense. As I argue, there is a close yet (...) unexplored connection between feelings of epistemic anxiety and the form of inference commonly known as “Inference to the Best Explanation” (IBE). Specifically, I argue that both the recognition that some fact requires an explanation—a necessary first step in applying IBE—and the subsequent motivation to employ IBE are typically facilitated by feelings of epistemic anxiety. So, provided IBE is truth-conducive the capacity for epistemic anxiety should count as an intellectual virtue in the reliabilist sense. After outlining my main argument, I address the challenge that the capacity for epistemic anxiety has the potential to be misleading. To respond to this challenge, I discuss how our recognition that a fact requires an explanation must in part be a species of practical knowledge, rather than theoretical knowledge. For the agent to skillfully distinguish between facts that require an explanation and facts that do not, she must develop the virtuous disposition to feel the appropriate amount of epistemic anxiety. Despite the many negative aspects associated with anxiety, as I conclude, being disposed to feel the appropriate amount of epistemic anxiety is ultimately good for us. (shrink)

The field of value alignment, or more broadly machine ethics, is becoming increasingly important as artificial intelligence developments accelerate. By ‘alignment’ we mean giving a generally intelligent software system the capability to act in ways that are beneficial, or at least minimally harmful, to humans. There are a large number of techniques that are being experimented with, but this work often fails to specify what values exactly we should be aligning. When making a decision, an agent is supposed to maximize (...) the expected utility of its value function. Classically, this has been referred to as happiness, but this is just one of many things that people value. -/- In order to resolve this issue, we need to determine a set of human values that represent humanity's interests. Although this problem might seem intractable, research shows that people of various cultures and religions actually share more in common than they realize. In this book we review world religions, moral philosophy and evolutionary psychology to elucidate a common set of shared values. We then show how these values can be used to address the alignment problem and conclude with problems and goals for future research. -/- The key audience for this book will be researchers in the field of ethics and artificial intelligence who are interested in, or working on this problem. These people will come from various professions and include philosophers, computer programmers and psychologists, as the problem itself is multi-disciplinary. (shrink)

Intuitions about intentional action have turned out to be sensitive to normative factors: most people say that an indifferent agent brings about an effect of her action intentionally when it is harmful, but unintentionally when it is beneficial. Joshua Knobe explains this asymmetry, which is known as ‘the Knobe effect’, in terms of the moral valence of the effect, arguing that this explanation generalizes to other asymmetries concerning notions as diverse as deciding and being free. I present an alternative explanation (...) of the Knobe effect in terms of normative reasons. This explanation generalizes to other folk psychological notions such as deciding, but not to such notions as being free. I go on to argue, against Knobe, that offering a unified explanation of all the asymmetries he discusses is in fact undesirable. (shrink)