Arthur C. Danto convincingly argued that works of art are not differentiated from common objects by aesthetic properties. With this he broke down the system of aestheticism, which discussed art as a sub-category of the aesthetic experience, looked for the universal, historically and culturally unconditioned significant form in works of art. At the same time, Danto’s theory can also be read as one considering the aesthetic point of view irrelevant for the essence of art. The paradigmatic starting point of Danto’s (...) theory is Andy Warhol’s Brillo Box. However it was the Brillo Box that created the opportunity for the questioning of this anti-aesthetic consequence, both Andy Warhol, when he created the Brillo Box, as well as Arthur C. Danto, when he chose it to be the starting point of his art philosophy, were driven by aesthetic motives. This inconsistency can be resolved by accepting that common objects are “transfigured” in the framework of an art theory, while adding that from the moment they have transfigured into a work of art, their (new) aesthetic properties become substantial. (shrink)

Arthur Danto’s recent book, Andy Warhol, leads the reader through the story of the iconic American’s artistic life highlighted by a philosophical commentary, a commentary that merges Danto’s aesthetic theory with the artist himself. Inspired by Warhol’s Brillo Box installation, art that in Danto’s eyes was indiscernible from the everyday boxes it represented, Danto developed a theory that is able to differentiate art from non-art by employing the body of conceptual art theory manifest in what he termed the ‘artworld’. (...) The strength of Danto’s theory is found in its ability to explain the art of the post-modern era. His body of work weaves philosophy, art history and art criticism together, merging his aesthetic philosophy with his extensive knowledge of the world of art. Danto’s essentialist theory of embodied meaning provides him with a critical tool that succeeds in explaining the currents of contemporary art, a task that many great thinkers of art history were unable to do. If Warhol inspired Danto to create a philosophy of art, it is appropriate that Danto write a tribute to Warhol that traces how Warhol brought philosophy into art. Danto’s account of ‘Warhol as philosopher’ positions him as a pivotal figure in the history of twentieth-century art, effecting a sea change in how art was made and viewed. Warhol achieved this by conceiving of works that embodied the answers to a series of philosophical puzzles surrounding the nature of art. Warhol, as Danto describes him, manifests himself in his art because he had transformed himself, in a way, into an icon of the times. This pragmatist notion that art should undermine the dichotomies that exist between art and life would, by some accounts, position Warhol to be the philosopher that Danto claims him to be, for he dissolved the philosophical questions posted by late modern aesthetic thinkers by creating art that imploded the accepted notions of art at the time. One of Danto’s greatest contributions to aesthetics is his theory’s ability to distinguish art from non-art, recognizing that it is the artist’s intention that levels the sublimity of art into the commonplace, thereby transfiguring the everyday. However, acknowledging this achievement, I argue that Warhol’s philosophical contribution actually manifests itself in a manner different from that proposed by Danto. Danto maintains that the internal drive of art leads to the unfolding of art theoretical concepts that ineluctably shift the terrain of world of art. I would agree with Danto that Warhol, almost as Hegel viewed Napoleon as Geist on a horse, pushed forward the boundaries of art through the actualization of art’s internal drive. But I would disagree that the conceptual nature of art is one that unfolds merely as a relation of concepts that artists trace through a connection to the meaning of history they forge using their unmediated grasp of style. Rather, I would argue that the artist’s style is not bound so narrowly to the meanings they express. Through their aesthetic articulations, artists initiate a process of social interaction. This process employs the philosophical logic which Danto attributes to Warhol indirectly, and through it, it is able to transfigure the vocabulary of art—the concepts of the artworld—by superseding the language of modernism. Warhol’s philosophical contribution is seen in his mastery of both the medium of art and the underlying logic of the medium’s expression and reception. (shrink)

Without doctors being able to explain medical decisions to patients, I argue their use of black box AIs would erode the effective and respectful care they provide patients. In addition, I argue that physicians should use AI black boxes only for patients in dire straits, or when physicians use AI as a “co-pilot” (analogous to a spellchecker) but can independently confirm its accuracy. I respond to A.J. London’s objection that physicians already prescribe some drugs without knowing why they work.

A textbook for modal and other intensional logics based on the Open Logic Project. It covers normal modal logics, relational semantics, axiomatic and tableaux proof systems, intuitionistic logic, and counterfactual conditionals.

My aim in this article is to contribute to the larger project of assessing the relative merits of different theories of substance. An important preliminary step in this project is assessing the explanatory resources of one main theory of substance, the so-called bundle theory. This article works towards such an assessment. I identify and explain three distinct explanatory challenges an adequate bundle theory must meet. Each points to a putative explanatory gap, so I call them the Gap Challenges. I consider (...) three bundle-theoretic strategies for meeting these challenges. I argue that none of them goes very far. The upshot is that, absent other strategies for meeting the challenges, bundle theory involves a significant amount of stipulation. This black box makes bundle theory relatively weak with respect to its explanatory power—unless, of course, rival theories of substance are unable to do better. (shrink)

We call for a new philosophical conception of models in physics. Some standard conceptions take models to be useful approximations to theorems, that are the chief means to test theories. Hence the heuristics of model building is dictated by the requirements and practice of theory-testing. In this paper we argue that a theory-driven view of models can not account for common procedures used by scientists to model phenomena. We illustrate this thesis with a case study: the construction of one of (...) the first comprehensive model of superconductivity by London brothers in 1934. Instead of theory-driven view of models, we suggest a phenomenologically-driven one. (shrink)

Fears of black-box algorithms are multiplying. Black-box algorithms are said to prevent accountability, make it harder to detect bias and so on. Some fears concern the epistemology of black-box algorithms in medicine and the ethical implications of that epistemology. In ‘Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI,' Durán and Jongsma seek to allay such fears. While some of their arguments are compelling, we still see reasons for fear.

A gas in a box is perhaps the most important model system studied in thermodynamics and statistical mechanics. Usually, studies focus on the gas, whereas the box merely serves as an idealized confinement. The present article focuses on the box as the central object and develops a thermodynamic theory by treating the geometric degrees of freedom of the box as the degrees of freedom of a thermodynamic system. Applying standard mathematical methods to the thermody- namics of an empty box allows (...) equations with the same structure as those of cosmology and classical and quantum mechanics to be derived. The simple model system of an empty box is shown to have interesting connections to classical mechanics, special relativity, and quantum field theory. (shrink)

Imaginative immersion refers to a phenomenon in which one loses oneself in make-believe. Susanna Schellenberg says that the best explanation of imaginative immersion involves a radical revision to cognitive architecture. Instead of there being an attitude of belief and a distinct attitude of imagination, there should only be one attitude that represents a continuum between belief and imagination. -/- We argue otherwise. Although imaginative immersion is a crucial data point for theorizing about the imagination, positing a continuum between belief and (...) imagination is neither necessary nor sufficient for explaining the phenomenon. In addition, arguing against Schellenberg’s account reveals important but underappreciated lessons for theorizing about the imagination and for interpreting boxological representations of the mind. (shrink)

The ‘black box’ in Stoic axiology refers to the mysterious connection between the input of Stoic deliberation (reasons generated by the value of indifferents) and the output (appropriate actions). In this paper, I peer into the black box by drawing an analogy between Stoic and Kantian axiology. The value and disvalue of indifferents is intrinsic, but conditional. An extrinsic condition on the value of a token indifferent is that one's selection of that indifferent is sanctioned by context-relative ethical principles. The (...) value of an indifferent that does not meet this condition is normatively silenced, such that it fails to constitute a reason for action. (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)

I consider a familiar argument for two-boxing in Newcomb's Problem and find it defective because it involves a type of divergence from standard Baysian reasoning, which, though sometimes justified, conflicts with the stipulations of the Newcomb scenario. In an appendix, I also find fault with a different argument for two-boxing that has been presented by Graham Priest.

Even where an act appears to be responsible, and satisfies all the conditions for responsibility laid down by society, the response to it may be unjust where that appearance is false, and where those conditions are insufficient. This paper argues that those who want to place considerations of responsibility at the centre of distributive and criminal justice ought to take this concern seriously. The common strategy of relying on what Susan Hurley describes as a 'black box of responsibility' has the (...) advantage of not taking responsibility considerations to be irrelevant merely because some specific account of responsibility is mistaken. It can, furthermore, cope perfectly well with an absence of responsibility, even of the global sort implied by hard determinism and other strongly sceptical accounts. Problems for the black box view come in where responsibility is present, but in a form that is curtailed in one significant regard or another. The trick, then, is to open the box of responsibility just enough that its contents can be the basis for judgements of justice. I identify three 'moderately sceptical' forms of compatibilism that cannot ground judgements of justice, and are therefore expunged by the strongest 'grey box' view. (shrink)

The following argument is widely assumed to be invalid: there is a pain in my finger; my finger is in my mouth; therefore, there is a pain in my mouth. The apparent invalidity of this argument has recently been used to motivate the conclusion that pains are not spatial entities. We argue that this is a mistake. We do so by drawing attention to the metaphysics of pains and holes and provide a framework for their location which both vindicates the (...) argument's validity and explains why it appears invalid. To this end, we show that previously proposed explanations for the apparent invalidity of the argument fail. Moreover, we show that our account accommodates and explains seemingly opposing linguistic data. We conclude that the ‘pain-in-mouth argument’ does not undermine the view that pains are spatial entities. (shrink)

A ‘Black Box’ cannot be opened to reveal its mechanism. Rather, its operations are inferred through input from (and output to) an ‘observer’. All of us are observers, who attempt to understand the Black Boxes that are Minds. The Black Box and its observer constitute a system, differing from either component alone: a ‘greater’ Black Box to any further-external-observer. To Glanville (1982), the further-external-observer probes the greater-Black-Box by interacting directly with its core Black Box, ignoring that Box’s immediate observer. In (...) later accounts, however, Glanville’s greater-Black-Box inexplicably becomes unitary. Why the discrepancy? To resolve it, we start with von Foerster’s archetype ‘machines’, that are of two kinds: ‘Trivial’ (predictable) and ‘Non-Trivial’ (non-predictable). Early-on, Glanville treated the core Black Box and its observer as Trivial Machines, that gradually ‘whiten’ (reveal) each other though input and output, becoming ‘white boxes’. Later, however, Black Box and observer became Non-Trivial Machines, never fully ‘whitenable’. But Non-Trivial Machines can be concatenated from Trivial Machines, and are the only true Black Boxes; any greater-Black-Box (Non-Trivial Machine) may (within its core Black Box) involve white boxes (that are Trivial Machines). White boxes, therefore, could be the ultimate source of the greatest Black Box of all: the Mind. (shrink)

In the following paper, pursuing a lead from Heidegger’s 1937 reading of Nietzsche’s Also Sprach Zarathustra (ASZ), I first claim that the Nietzschean emphasis on awakening the thought and the thinker of eternal return should be read as analogous to Heidegger’s own call to awaken a fundamental attunement in the 1929/30 lecture course, Die Grundbegriffe der Metaphysik (GDM). I bolster this claim by insisting on a Nietzschean inspiration in the very call to awaken a fundamental attunement, which can be identified (...) on both implicit and explicit levels of the text. Initially exploring these levels, I argue that their commonality announces in part Heidegger’s effort to digest a debt of gratitude to the Nietzschean concept of horizon, and the task of the paper becomes to locate and articulate the connection between Nietzschean horizonality and the Heideggerian phenomenon of attunement. This is achieved through the dynamics of sleep and awakening as Heidegger contends with them thematically in GDM. By enumerating key steps of Heidegger’s argument, I show how attunement demonstrates the force of the problem of horizon and with it, the extent to which Heidegger’s thinking can be said to be intimate with that of Nietzsche. (shrink)

In recent years, calls have been made to address the relative dearth of qualitative sociological investigation into the sensory dimensions of embodiment, including within physical cultures. This article contributes to a small, innovative and developing literature utilizing sociological phenomenology to examine sensuous embodiment. Drawing upon data from three research projects, here we explore some of the ‘sensuousities’ of ‘intense embodiment’ experiences as a distance-running-woman and a boxing-woman, respectively. Our analysis addresses the relatively unexplored haptic senses, particularly the ‘touch’ of heat. (...) Heat has been argued to constitute a specific sensory mode, a trans-boundary sense. Our findings suggest that ‘lived’ heat, in our own physical-cultural experiences, has highly proprioceptive elements and is experienced as both a form of touch and as a distinct perceptual mode, dependent upon context. Our analysis coheres around two key themes that emerged as salient: (1) warming up, and (2) thermoregulation, which in lived experience were encountered as strongly interwoven. (shrink)

I argue that Graham Priest's story 'Sylvan's Box' has an attractive consistent reading. Priest's hope that this story can be used as an example of a non-trivial 'essentially inconsistent' story is thus threatened. I then make some observations about the role 'Sylvan's Box' might play in a theory of unreliable narrators.

This article argues that actor-network theory, as an alternative to critical theory, has lost its critical impetus when examining commodification in healthcare. The paper claims that the reason for this, is the way in which actor-network theory’s anti-essentialist ontology seems to black box 'intentionality' and ethics of human agency as contingent interests. The purpose of this paper was to open the normative black box of commodification, and compare how Marxism, Habermas and ANT can deal with commodification and ethics in healthcare. (...) Moreover, a new account of 'intentionality' in critical thinking was elaborated. Using Strawson's analysis of 'reactive attitudes and resentment,' the ethical implications of commodification in health care were examined as an assessment of intentions. Synthesizing critical theory with the relational materialism of actor-network theory, this article advances a new approach that seeks to bridge interdisciplinary boundaries, and guide actor-network theory in a critical and humanist direction. Providing new theoretical insights on commodification and 'intentionality' in health care. (shrink)

This chapter explores the idea that causal inference is warranted if and only if the mechanism underlying the inferred causal association is identified. This mechanistic stance is discernible in the epidemiological literature, and in the strategies adopted by epidemiologists seeking to establish causal hypotheses. But the exact opposite methodology is also discernible, the black box stance, which asserts that epidemiologists can and should make causal inferences on the basis of their evidence, without worrying about the mechanisms that might underlie their (...) hypotheses. I argue that the mechanistic stance is indeed a bad methodology for causal inference. However, I detach and defend a mechanistic interpretation of causal generalisations in epidemiology as existence claims about underlying mechanisms. (shrink)

We introduce and discuss a knowledge-driven distillation approach to explaining black-box models by means of two kinds of interpretable models. The first is perceptron (or threshold) connectives, which enrich knowledge representation languages such as Description Logics with linear operators that serve as a bridge between statistical learning and logical reasoning. The second is Trepan Reloaded, an ap- proach that builds post-hoc explanations of black-box classifiers in the form of decision trees enhanced by domain knowledge. Our aim is, firstly, to target (...) a model-agnostic distillation approach exemplified with these two frameworks, secondly, to study how these two frameworks interact on a theoretical level, and, thirdly, to investigate use-cases in ML and AI in a comparative manner. Specifically, we envision that user-studies will help determine human understandability of explanations generated using these two frameworks. (shrink)

This paper concerns the Black Box. It is not the engineer’s black box that can be opened to reveal its mechanism, but rather one whose operations are inferred through input from (and output to) a companion observer. We are observers ourselves, and we attempt to understand minds through interactions with their host organisms. To this end, Ranulph Glanville followed W. Ross Ashby in elaborating the Black Box. The Black Box and its observer together form a system having different properties than (...) either component alone, making it a greater Black Box to any further-external observer. How far into this greater box can a further-external observer probe? The answer is crucial to understanding Black Boxes, and so an answer is offered here. It employs von Foerster’s machines, abstract entities having mechano-electrical bases, just like putative Black Boxes. Von Foerster follows Turing, Ashby, E. F. Moore, and G. H. Mealy in recognizing archetype machines that he calls trivial (predictable) and non-trivial (non-predictable). It is argued here that non-trivial machines are the only true Black Boxes. But non-trivial machines can be concatenated from trivial machines. Hence, the utter core of any greater Black Box (a non-trivial machine) may involve two (or more) White Boxes (trivial machines). This is how an unpredictable thing emerges from predictable parts. Interactions of White Boxes—of trivial machines—may be the ultimate source of the mind. Keywords: . (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

It examines the concept of utopia through an analysis of a major work of Greek literature, Aris Alexandrou's "The Mission Box.".

With the fast pace of AI development, the problem of preventing its global catastrophic risks arises. However, no satisfactory solution has been found. From several possibilities, the confinement of AI in a box is considered as a low-quality possible solution for AI safety. However, some treacherous AIs can be stopped by effective confinement if it is used as an additional measure. Here, we proposed an idealized model of the best possible confinement by aggregating all known ideas in the field of (...) AI boxing. We model the confinement based on the principles used in the safety engineering of nuclear power plants. We show that AI confinement should be implemented in several levels of defense. These levels include 1) AI design in fail-safe manner 2) limiting its capabilities, preventing self-improving and circuit breakers on treacherous turn 3) isolation from the outside world and, lastly, as the final hope 4) outside measures oriented on stopping AI in the wild. We demonstrate that the substantial number (more than 50 ideas listed in the article) of mutually independent measures could provide a relatively high probability of the containment of a human-level AI but may be not sufficient to preserve runaway of superintelligent AI. Thus, these measures will work only if they are used to prevent superintelligent AI creation, but not for containing superintelligence. We suggest that there could be a safe operation threshold, on which AI is useful, but is not able to hack containment system from the inside, the same way as a safe level of chain reaction inside nuclear power plants is maintained. However, overall, a failure of the confinement is inevitable, so we need to use the full AGI limited number of times (AI-ticks). (shrink)

Im Beitrag wird die Apple-Watch vor dem Hintergrund ihrer „Ästhetik der Existenz“ als biopolitisches Artefakt und kontrollgesellschaftliches Dispositiv, vor allem aber als kybernetische Black Box aufgefasst und analysiert. Ziel des Aufsatzes ist es, aufzuzeigen, dass sich in dem feedbacklogischen Rückkopplungsapparat nicht nur grundlegende Diskurse des digitalen Zeitalters (Prävention, Gesundheit, bio- und psychopolitische Regulierungsformen etc.) verdichten, sondern dass dieser schon ob seiner inhärenten Logik qua Opazität Transparenz, qua Komplexität Simplizität (d.h. Orientierung) generiert und damit nicht zuletzt ein ganz spezifisches Menschenbild forciert. (...) In methodischer Hinsicht sollen zur Aufschlüsselung der für die digitale Gesellschaft repräsentativen Black Box „Apple-Watch“ wirksame Begriffskonstellationen der Kybernetik – d.h. Feedback, Regulierung, Selbstkontrolle und nicht zuletzt das Prinzip des „schwarzen Kastens“ selbst (Wiener/ Ashby), in dem sich schon die Funktion des Apparats als (Selbst-)Regulierungstool zwischen In- und Outputs reflektiert – in den Blick genommen und mit behavioristischen Konzepten (besonders solche der Gegenwart, d.h. nudging-Konzepte etc.) kontextualisiert werden. Auf dieser Grundlage lässt sich schließlich, so die These, nicht nur ein Subjektivierungsmodell ableiten, sondern auch eine (durchaus realpolitisch wirksame) Regierungskunst („kybernetische Gouvernementalität“) dekodieren. In diesem Zusammenhang ist schließlich die These zu plausibilisieren, dass das zeitgenössische „Sicherheitsregime“ des ‚new dark age‘ (Bridle) respektive der ‚Black-Box-Society‘ (Pasquale) sich nicht auf „die Unterdrückung von Subjektivität [bezieht], sondern vor allem auf ihre ‚(Selbst)-Produktion‘, […] auf die […] Förderung von Selbsttechnologien, die an Regierungsziele gekoppelt werden können.“ (Lemke) Entsprechend fragt der Aufsatz, welche – auch politischen – Auswirkungen die exzessive Verbreitung dieser und ähnlicher „smart devices“ zeitigt: Denn nicht zuletzt lässt sich, mediiert über derartige datengenerierende schwarze Kästen, eine Form der Regierung und des Regierbar-Machens erkennen, die weniger explizit-imperativisch auf Subjekte als vielmehr implizit-suggestiv auf Datenpunkte und -profile einwirkt. (shrink)

It has been scientifically acknowledged that the Universe is made up of 27% Dark Matter, 68% Dark Energy, and 5% Normal/Ordinary Matter. It has also been scientifically acquiesced that the evolvement of Normal/Ordinary Matter came forth due to the combination of 3% Dark Matter and 2% Dark Energy. These percentages would infer that prior to the onset of Normal/Ordinary Matter, the Universe was made up of 30% of Dark Matter and 70% Dark Energy. These numbers would infer that 100% of (...) the Universe is made up of a specific number/total amount of singular entities of Dark Matter and of Dark Energy. Where, the numerical precision of these percentages was perceived to accordingly denote the mathematical rigors inherent to logical reasoning. As such, these percentages could perhaps be the earliest manifestations of a pre-determined fundamental order of the Universe. (shrink)

Advanced AI systems are rapidly making their way into medical research and practice, and, arguably, it is only a matter of time before they will surpass human practitioners in terms of accuracy, reliability, and knowledge. If this is true, practitioners will have a prima facie epistemic and professional obligation to align their medical verdicts with those of advanced AI systems. However, in light of their complexity, these AI systems will often function as black boxes: the details of their contents, calculations, (...) and procedures cannot be meaningfully understood by human practitioners. When AI systems reach this level of complexity, we can also speak of black-box medicine. In this paper, we want to argue that black-box medicine conflicts with core ideals of patient-centered medicine. In particular, we claim, black-box medicine is not conducive for supporting informed decision-making based on shared information, shared deliberation, and shared mind between practitioner and patient. (shrink)

The modern abundance and prominence of data has led to the development of “data science” as a new field of enquiry, along with a body of epistemological reflections upon its foundations, methods, and consequences. This article provides a systematic analysis and critical review of significant open problems and debates in the epistemology of data science. We propose a partition of the epistemology of data science into the following five domains: (i) the constitution of data science; (ii) the kind of enquiry (...) that it identifies; (iii) the kinds of knowledge that data science generates; (iv) the nature and epistemological significance of “black box” problems; and (v) the relationship between data science and the philosophy of science more generally. (shrink)

Artificial intelligence (AI) systems have demonstrated impressive performance across a variety of clinical tasks. However, notoriously, sometimes these systems are 'black boxes'. The initial response in the literature was a demand for 'explainable AI'. However, recently, several authors have suggested that making AI more explainable or 'interpretable' is likely to be at the cost of the accuracy of these systems and that prioritising interpretability in medical AI may constitute a 'lethal prejudice'. In this paper, we defend the value of interpretability (...) in the context of the use of AI in medicine. Clinicians may prefer interpretable systems over more accurate black boxes, which in turn is sufficient to give designers of AI reason to prefer more interpretable systems in order to ensure that AI is adopted and its benefits realised. Moreover, clinicians may be justified in this preference. Achieving the downstream benefits from AI is critically dependent on how the outputs of these systems are interpreted by physicians and patients. A preference for the use of highly accurate black box AI systems, over less accurate but more interpretable systems , may itself constitute a form of lethal prejudice that may diminish the benefits of AI to - and perhaps even harm - patients. (shrink)

Explainability and comprehensibility of AI are important requirements for intelligent systems deployed in real-world domains. Users want and frequently need to understand how decisions impacting them are made. Similarly it is important to understand how an intelligent system functions for safety and security reasons. In this paper, we describe two complementary impossibility results (Unexplainability and Incomprehensibility), essentially showing that advanced AIs would not be able to accurately explain some of their decisions and for the decisions they could explain people would (...) not understand some of those explanations. (shrink)

Resumen: Frente a la situación de ateísmo teórico y práctico que prevalece en este contexto, el presente trabajo es una síntesis de los fundamentos filosóficos sobre Dios que constituye el tema más importante de la Filosofía. Se trata de un esfuerzo por presentar de manera sintética y clara lo que se refiere al Ser, la Existencia, la Esencia y las Perfecciones divinas, y sobre el hecho de que todo ser, toda permanencia en el ser y todo acrecentamiento de las creaturas (...) se funda y es causado por Dios que es el Ser en sí y por sí, Causa primera y Causa final de todo lo existente. Es un intento por mostrar el brillo de la doctrina presentada por Santo Tomás de Aquino y por hacer ver que, a pesar de lo que haya podido decirse, la síntesis del Aquinate, acabada en sus principios y abierta en sus conclusiones, contiene un valor perenne que hasta el momento ha sido insuperable. Abstract: Faced with the situation of theoretical and practical atheism prevalent in this context, this paper is a synthesis of the philosophical foundations of God, which is the most important issue of philosophy. It is an effort to present synthetically and clearly everything related to the Being, the Existence, the Essence and the Divine perfections, and the fact that any being, any remaining in being and any growth of creatures is founded and is caused by God who is the Being in and of Himself, the first cause and the final cause of all that exists. It is an attempt to show the brilliance of the doctrine presented by St. Thomas Aquinas and to show that the synthesis of Aquinas, finished in its principles and open in its conclusions, contains a perennial value that, despite what has been said, has not yet been surpassed. Palabras clave: Dios, ser, acto, existencia, perfección, causa. (shrink)

Simple idealized models seem to provide more understanding than opaque, complex, and hyper-realistic models. However, an increasing number of scientists are going in the opposite direction by utilizing opaque machine learning models to make predictions and draw inferences, suggesting that scientists are opting for models that have less potential for understanding. Are scientists trading understanding for some other epistemic or pragmatic good when they choose a machine learning model? Or are the assumptions behind why minimal models provide understanding misguided? In (...) this paper, using the case of deep neural networks, I argue that it is not the complexity or black box nature of a model that limits how much understanding the model provides. Instead, it is a lack of scientific and empirical evidence supporting the link that connects a model to the target phenomenon that primarily prohibits understanding. (shrink)

One of the primary, if not most critical, difficulties in the design and implementation of autonomous systems is the black-boxed nature of the decision-making structures and logical pathways. How human values are embodied and actualised in situ may ultimately prove to be harmful if not outright recalcitrant. For this reason, the values of stakeholders become of particular significance given the risks posed by opaque structures of intelligent agents (IAs). This paper explores how decision matrix algorithms, via the belief-desire-intention model for (...) autonomous vehicles, can be designed to minimize the risks of opaque architectures. Primarily through an explicit orientation towards designing for the values of explainability and verifiability. In doing so, this research adopts the Value Sensitive Design (VSD) approach as a principled framework for the incorporation of such values within design. VSD is recognized as a potential starting point that offers a systematic way for engineering teams to formally incorporate existing technical solutions within ethical design, while simultaneously remaining pliable to emerging issues and needs. It is concluded that the VSD methodology offers at least a strong enough foundation from which designers can begin to anticipate design needs and formulate salient design flows that can be adapted to the changing ethical landscapes required for utilisation in autonomous vehicles. (shrink)

Recent work on interpretability in machine learning and AI has focused on the building of simplified models that approximate the true criteria used to make decisions. These models are a useful pedagogical device for teaching trained professionals how to predict what decisions will be made by the complex system, and most importantly how the system might break. However, when considering any such model it’s important to remember Box’s maxim that "All models are wrong but some are useful." We focus on (...) the distinction between these models and explanations in philosophy and sociology. These models can be understood as a "do it yourself kit" for explanations, allowing a practitioner to directly answer "what if questions" or generate contrastive explanations without external assistance. Although a valuable ability, giving these models as explanations appears more difficult than necessary, and other forms of explanation may not have the same trade-offs. We contrast the different schools of thought on what makes an explanation, and suggest that machine learning might benefit from viewing the problem more broadly. (shrink)

En los albores de la tercera del siglo XXI, la existencia de la humanidad se ha vuelto sumamente peligrosa. Estamos talando nuestros bosques, agotando nuestros acuíferos de agua dulce y perdendo nuestros suelos superiores vitais. Estamos eliminando a vida de nuestros oceanos e reemplazándola com cientos de milhões de toneladas de desechos plásticos. Estamos inundando nosso ambiente com produtos químicos industriais tóxicos. Nuestra contaminação está impulsando a mudança climática que provoca olas de calor, sequías e incêndios florestais que destrozan o (...) tejido de la vida en los continentes. Y estamos trazendo novas gerações no mundo, milhões que requerem acesso aos recursos de uma existência digna. El alcance y la amplitud de las amenazas a la vida aumentarn día tras día. Este não é um modo sustentável de desarrollo. A causa raíz de nuestros machos fornece uma forma de pensar equivocada. ¿Que significa exatamente? significa que hemos estado pensando em nosotros mismos principalmente como seres materiais, mientras negamos nuestra naturaleza espiritual. Debido a que pensamos que existimos como seres materiais e nada mais, damos prioridade a proteger nuestros cuerpos del daño y prolongar nuestra existencia material. Nuestra naturaleza espiritual, si é que se considera em absoluto, se trata como um aspecto secundário de nuestro ser físico, algo que não deve ser tomado em serio. Para nós, as únicas cosas que importam são os fenômenos que aparecem no mundo material, como se pueden ver, oír, tocar o mediterrâneo, por saber que nuestros sentidos nos engañan, los sentidos son una construção del cerebro. Lo que consideramos um mundo real é uma ilusão. A dominação do pensamento positivista e materialista conduz à irracionalidade e à destruição. Pero, ¿adónde nos ha llevado este enfoque? ¿Nos ha traído una sensación de felicidad y plenitud? No lugar de viver cada dia com um espírito de cooperação alegre, con nuestros corazones llenos de brillante esperanza y feliz antecipación, nos hemos aislado Diferenos de los demás y verlos como rivales o inemigos. Nuestros pensamientos estão inundados de sospecha, miedo y codicia, lo que lleva a un ciclo interminável de guerra, pobreza, hambruna y destruição ambiental. A menos que despertemos pronto e prestemos atenção a nossa naturaleza espiritual, não há futuro para a humanidade na Terra. Las palabras son vida. As palavras da luz. Las palabras son poder. Las palavras son energía. Las palabras son verdad. Las palabras pueden animar y las palabras también pueden matar. Las palabras pueden dar esperanza ou hundirnos en la desesperación. La gente usa palabras para construir la paz y usa palabras para hacer la guerra. Las palabras pueden crear muros entre culturas, religiões e nações. Y las palabras también pueden construir puentes. La existencia de un individuo, una familia, una comunidad, un país y nuestro planeta está conduzindo al been ou al mal a través del poder de las palabras que hablamos. Las palabras que hablamos son responsables de todo lo que sucede neste mundo. Nosotros, por lo tanto, debemos ser responsables de las palabras que hablamos. Em nome das gerações futuras, espero que cada um de nosotros haga todo o possível para hablar solo palabras brilhantes y llenas de luz, para que um dia, nuestros descendentes nazcan en un mundo lleno de luz. No hay tiempo que perder. A partir deste momento, espero que todos echemos uma vista de cerca das palavras que hemos estado usando e hagamos esfuerzos constantes para llenarlas de brillo. Nadie va a cambiar nuestra vida por nosotros. Nadie va a cambiar el mundo por nosotros. É hora de cada um de nós reconhecer o prodigioso poder criativo que se desata em cada palavra que pronuncia, e de maneira consciente pronunciemos apenas palavras de gratidão, alienação e boa intenção. A partir deste momento, elijamos palabras que resuenen con amor y perdón para nosotros mismos y para los demás. Ciertamente podemos fazer se damos um passo solo adelante. Un paso a la vez, uma palavra a la vez, podemos arrancar de raíz os gérmenes de tragédia e aislamiento de nossa consciência e conversão em ondas de felicidade e conciliação. Por nosostros mismos, por la Madre Tierra y por el bien de las generaciones futuras, usemos palavras que contribuem para a evolução positiva de la humanidad en la Tierra. (shrink)

2015 Reprint of 1956 Printing. Full facsimile of the original edition. Not reproduced with Optical Recognition Software. Cybernetics is here defined as "the science of control and communication, in the animal and the machine"-in a word, as the art of steersmanship; and this book will interest all who are interested in cybernetics, communication theory and methods for regulation and control. W. Ross Ashby (1903-1972) was an English psychiatrist and a pioneer in cybernetics, the study of complex systems. His two books, (...) "Design for a Brain" and "An Introduction to Cybernetics," were landmark works. They introduced exact and logical thinking into the nascent discipline and were highly influential. Contents include: What is new -- Change -- The Determinate Machine -- The Machine with Input -- Stability -- The Black Box -- Quantity of Variety -- Transmission of Variety -- Incessant Transmission -- Regulation in Biological Systems -- Requisite Variety -- The Error-controlled Regulator -- Regulating the Very Large System -- Amplifying Regulation. (shrink)

En los albores de la tercera década del siglo XXI, la existencia de la humanidad se ha vuelto sumamente peligrosa. Estamos talando nuestros bosques, agotando nuestros acuíferos de agua dulce y perdiendo nuestros suelos superiores vitales. Estamos eliminando la vida de nuestros océanos y reemplazándola con cientos de millones de toneladas de desechos plásticos. Estamos inundando nuestro medio ambiente con productos químicos industriales tóxicos. Nuestra contaminación está impulsando el cambio climático que provoca olas de calor, sequías e incendios forestales que (...) destrozan el tejido de la vida en los continentes. Y estamos trayendo nuevas generaciones al mundo, millones que requieren acceso a los recursos de una existencia digna. El alcance y la amplitud de las amenazas a la vida aumentan día tras día. Este no es un modo sostenible de desarrollo. La causa raíz de nuestros males proviene de una forma de pensar equivocada. ¿Qué significa esto exactamente? significa que hemos estado pensando en nosotros mismos principalmente como seres materiales, mientras negamos nuestra naturaleza espiritual. Debido a que pensamos que existimos como seres materiales y nada más, damos prioridad a proteger nuestros cuerpos del daño y prolongar nuestra existencia material. Nuestra naturaleza espiritual, si es que se la considera en absoluto, se trata como un aspecto secundario de nuestro ser físico, algo que no debe tomarse en serio. Para nosotros, las únicas cosas que importan son los fenómenos que aparecen en el mundo material, cosas que se pueden ver, oír, tocar o medir, pero sabemos que nuestros sentidos nos engañan, los sentidos son una construcción del cerebro. Lo que consideramos un mundo real es una ilusión. La dominación del pensamiento positivista y materialista conduce a la irracionalidad y la destrucción. Pero, ¿adónde nos ha llevado este enfoque? ¿Nos ha traído una sensación de felicidad y plenitud? En lugar de vivir cada día con un espíritu de alegre cooperación, con nuestros corazones llenos de brillante esperanza y feliz anticipación, nos hemos aislado Preimpresión de Academia Letters.©2021 por el autor – Acceso abierto – Distribuido bajo CC BY 4.0 1 diferenciarnos de los demás y verlos como rivales o enemigos. Nuestros pensamientos están inundados de sospecha, miedo y codicia, lo que lleva a un ciclo interminable de guerra, pobreza, hambruna y destrucción ambiental. A menos que despertemos pronto y prestemos atención a nuestra naturaleza espiritual, no habrá futuro para la humanidad en la Tierra. Las palabras son vida. Las palabras son luz. Las palabras son poder. Las palabras son energía. Las palabras son verdad. Las palabras pueden animar y las palabras también pueden matar. Las palabras pueden dar esperanza o hundirnos en la desesperación. La gente usa palabras para construir la paz y usa palabras para hacer la guerra. Las palabras pueden crear muros entre culturas, religiones y naciones. Y las palabras también pueden construir puentes. La existencia de un individuo, una familia, una comunidad, un país y nuestro planeta está siendo conducida al bien o al mal a través del poder de las palabras que hablamos. Las palabras que hablamos son responsables de todo lo que sucede en este mundo. Nosotros, por lo tanto, debemos ser responsables de las palabras que hablamos. En nombre de las generaciones futuras, espero que cada uno de nosotros haga todo lo posible para hablar solo palabras brillantes y llenas de luz, para que un día, nuestros descendientes nazcan en un mundo lleno de luz. No hay tiempo que perder. A partir de este mismo momento, espero que todos echemos un vistazo de cerca a las palabras que hemos estado usando y hagamos esfuerzos constantes para llenarlas de brillo. Nadie va a cambiar nuestra vida por nosotros. Nadie va a cambiar el mundo por nosotros. Es hora de que cada uno de nosotros reconozca el prodigioso poder creativo que se desata en cada palabra que pronunciamos, y de manera consciente pronunciemos sólo palabras llenas de gratitud, aliento y buena intención. A partir de este momento, elijamos palabras que resuenen con amor y perdón para nosotros mismos y para los demás. Ciertamente podemos hacerlo si damos un solo paso adelante. Un paso a la vez, una palabra a la vez, podemos arrancar de raíz los gérmenes de tragedia y aislamiento de nuestra conciencia y convertirlos en ondas de felicidad y conciliación. Por nosotros mismos, por la Madre Tierra y por el bien de de las generaciones futuras, usemos palabras que contribuyan a la evolución positiva de la humanidad en la Tierra . (shrink)

There are two distinct approaches to Bayesian modelling in cognitive science. Black-box approaches use Bayesian theory to model the relationship between the inputs and outputs of a cognitive system without reference to the mediating causal processes; while mechanistic approaches make claims about the neural mechanisms which generate the outputs from the inputs. This paper concerns the relationship between these two approaches. We argue that the dominant trend in the philosophical literature, which characterizes the relationship between black-box and mechanistic approaches to (...) Bayesian cognitive science in terms of the dichotomy between instrumentalism and realism, is misguided. We propose that the two distinctions are orthogonal: black-box and mechanistic approaches to Bayesian modelling can each be given either an instrumentalist or a realist interpretation. We argue that the current tendency to conflate black-box approaches with instrumentalism and mechanistic approaches with realism stems from unwarranted assumptions about the nature of scientific explanation, the ontological commitments of scientific theories, and the role of abstraction and idealization in scientific models. We challenge each of these assumptions to reframe the debates over Bayesian modelling in cognitive science. (shrink)

ABSTRACT Quine insisted that the satisfaction of an open modalised formula by an object depends on how that object is described. Kripke's ‘objectual’ interpretation of quantified modal logic, whereby variables are rigid, is commonly thought to avoid these Quinean worries. Yet there remain residual Quinean worries for epistemic modality. Theorists have recently been toying with assignment-shifting treatments of epistemic contexts. On such views an epistemic operator ends up binding all the variables in its scope. One might worry that this yields (...) the undesirable result that any attempt to ‘quantify in’ to an epistemic environment is blocked. If quantifying into the relevant constructions is vacuous, then such views would seem hopelessly misguided and empirically inadequate. But a famous alternative to Kripke's semantics, namely Lewis' counterpart semantics, also faces this worry since it also treats the boxes and diamonds as assignment-shifting devices. As I'll demonstrate, the mere fact that a variable is bound is no obstacle to binding it. This provides a helpful lesson for those modelling de re epistemic contexts with assignment sensitivity, and perhaps leads the way toward the proper treatment of binding in both metaphysical and epistemic contexts: Kripke for metaphysical modality, Lewis for epistemic modality. (shrink)

In this chapter I give an account of how our judgments of anger often play out in certain political instances. While contemporary philosophers of emotion have provided us with check box guides like “fittingness” and “size” for evaluating anger, I will argue that these guides do not by themselves help us escape the tendency to mark or unmark the boxes selectively, inconsistently, and erroneously. If anger—particularly anger in a political context—can provide information and spark positive change or political destruction, then (...) we have moral reasons to evaluate it properly. But can we? And what are the limitations and errors we often face when evaluating anger? -/- I will begin by laying out the ways in which we evaluate emotions and the moral and epistemic errors we attribute to the angry agent in judgments of disapproval. Then I attempt to answer the question: How do we judge political anger improperly? An improper evaluation, in my view, does not take into account relevant information that is needed to evaluate the anger. An overly generous, uninformed, biased, or selfish process of evaluation produces an improper evaluation. We see this occur when we immediately evaluate anger. I will also identify two social discursive practices of improper evaluation as well as the moral and epistemic errors committed when anger evaluators participate in these practices. (shrink)

(1) Suppose that you care only about speaking the truth, and are confident that some particular deterministic theory is true. If someone asks you whether that theory is true, are you rationally required to answer "yes"? -/- (2) Suppose that you face a problem in which (as in Newcomb's problem) one of your options---call it "taking two boxes"---causally dominates your only other option. Are you rationally required to take two boxes? -/- Those of us attracted to causal decision theory are (...) under pressure to answer "yes" to both questions. However, it has been shown that many existing decision theories are inconsistent with doing so (Ahmed 2014). A simple proof shows that the same goes for an even wider class of theories: all "suppositional" decision theories. The moral is that causal decision theorists must either answer "no" to one of the above questions, or else abandon suppositional decision theories. (shrink)

The study of animal cognition raises profound questions about the minds of animals and philosophy of mind itself. Aristotle argued that humans are the only animal to laugh, but in recent experiments rats have also been shown to laugh. In other experiments, dogs have been shown to respond appropriately to over two hundred words in human language. In this introduction to the philosophy of animal minds Kristin Andrews introduces and assesses the essential topics, problems and debates as they cut across (...) animal cognition and philosophy of mind. She addresses the following key topics: what is cognition, and what is it to have a mind? What questions should we ask to determine whether behaviour has a cognitive basis? the science of animal minds explained: ethology, behaviourist psychology, and cognitive ethology rationality in animals animal consciousness: what does research into pain and the emotions reveal? What can empirical evidence about animal behaviour tell us about philosophical theories of consciousness? does animal cognition involve belief and concepts; do animals have a ‘Language of Thought’? animal communication other minds: do animals attribute ‘mindedness’ to other creatures? moral reasoning and ethical behaviour in animals animal cognition and memory. Extensive use of empirical examples and case studies is made throughout the book. These include Cheney and Seyfarth’s ververt monkey research, Thorndike’s cat puzzle boxes, Jensen’s research into humans and chimpanzees and the ultimatum game, Pankseep and Burgdorf’s research on rat laughter, and Clayton and Emery’s research on memory in scrub-jays. Additional features such as chapter summaries, annotated further reading and a glossary make this an indispensable introduction to those teaching philosophy of mind, animal cognition. It will also be an excellent resource for those in fields such as ethology, biology and psychology. (shrink)

We provide a cognitive analysis of how children represent belief using mental files. We explain why children who pass the false belief test are not aware of the intensionality of belief. Fifty-one 3½- to 7-year old children were familiarized with a dual object, e.g., a ball that rattles and is described as a rattle. They observed how a puppet agent witnessed the ball being put into box 1. In the agent’s absence the ball was taken from box 1, the child (...) was reminded of it being a rattle, and emphasising its being a rattle it was put back into box 1. Then the agent returned, the object was hidden in the experimenter’s hands and removed from box 1, described as a ‘‘rattle,” and transferred to box 2. Children who passed false belief had no problem saying where the puppet would look for the ball. However, in a different condition in which the agent was also shown that the ball was a rattle they erroneously said that the agent would look for the ball in box 1, ignoring the agent’s knowledge of the identity of rattle and ball. Their problems cease with their mastery of second-order beliefs. Problems also vanish when the ball is described not as a rattle but as a thing that rattles. We describe how our theory can account for these data as well as all other relevant data in the literature. (shrink)

Darwin provided us with a powerful theoretical framework to explain the evolution of living systems. Natural selection alone, however, has sometimes been seen as insufficient to explain the emergence of new levels of selection. The problem is one of “circularity” for evolutionary explanations: how to explain the origins of Darwinian properties without already invoking their presence at the level they emerge. That is, how does evolution by natural selection commence in the first place? Recent results in experimental evolution suggest a (...) way forward: Paul Rainey and his collaborators have shown that Darwinian properties could be exogenously imposed via what they call “ecological scaffolding.” This could solve the “black box” dilemma faced by Darwinian explanations of new levels of organization. Yet, despite “scaffolding” recently becoming a popular term in the study of cognition, culture, and evolution, the concept has suffered from vagueness and ambiguity. This article aims to show that scaffolding can be turned into a proper scientific concept able to do explanatory work within the context of the major evolutionary transitions. Doing so will allow us to once again extend the scope of the Darwinian model of evolution by natural selection. (shrink)

With the present paper I maintain that the group field theory (GFT) approach to quantum gravity can help us clarify and distinguish the problems of spacetime emergence from the questions about the nature of the quanta of space. I will show that the mechanism of phase transition suggests a form of indifference between scales (or phases) and that such an indifference allows us to black-box questions about the nature of the ontology of the fundamental levels of the theory. I consider (...) the GFT approach to quantum gravity which derives spacetime as an emergent property from abstract non-geometrical tetrahedra through a processes of phase transition. Because the physical interpretation of the tetrahedra is problematic in view of their (non)-spatiotemporal nature, I will apply the considerations about phase transitions to GFT and conclude that the fundamental ontology of the theory and the mechanism of spacetime emergence can and should be treated separately. (shrink)

The 'Why ain'cha rich?' argument for one-boxing in Newcomb's problem allegedly vindicates evidential decision theory and undermines causal decision theory. But there is a good response to the argument on behalf of causal decision theory. I develop this response. Then I pose a new problem and use it to give a new 'Why ain'cha rich?' argument. Unlike the old argument, the new argument targets evidential decision theory. And unlike the old argument, the new argument is sound.

Reeder’s article offers a new and intriguing approach to the study of people’s ordinary understanding of freedom and constraint. On this approach, people use information about freedom and constraint as part of a quasi-scientific effort to make accurate inferences about an agent’s motives. Their beliefs about the agent’s motives then affect a wide variety of further psychological processes, including the process whereby they arrive at moral judgments. In illustrating this new approach, Reeder cites an elegant study he conducted a number (...) of years ago (Reeder & Spores, 1983). All subjects were given a vignette about a man who goes with his date to a pizza parlor and happens to come across a box that has been designated for charitable donations. In one condition, the man’s date then requests that he make a donation; in the other, she requests that he steal the money that is already in the box. In both conditions, the man chooses to comply with this request. The key question is how subjects will use his behavior to make inferences about whether he is a morally good or morally bad person. The results revealed a marked difference between conditions. When the man donated to charity, subjects were generally disinclined to conclude that he must have been a morally good person. It is as though they were thinking: ‘He didn’t just do this out of the goodness of his heart. (shrink)

This paper advances the view that the history of philosophy is both a kind of history and a kind of philosophy. Through a discussion of some examples from epistemology, metaphysics, and the historiography of philosophy, it explores the benefit to philosophy of a deep and broad engagement with its history. It comes to the conclusion that doing history of philosophy is a way to think outside the box of the current philosophical orthodoxies. Somewhat paradoxically, far from imprisoning its students in (...) outdated and crystallized views, the history of philosophy trains the mind to think differently and alternatively about the fundamental problems of philosophy. It keeps us alert to the fact that latest is not always best, and that a genuinely new perspective often means embracing and developing an old insight. The upshot is that the study of the history of philosophy has an innovative and subversive potential, and that philosophy has a great deal to gain from a long, broad, and deep conversation with its history. (shrink)