Ketamine is a dissociative drug that has been used medically since the 1970s primarily as an anesthetic agent but also for various psychiatric applications. Anecdotal reports and clinical research suggest substantial potential for ketamine as a treatment in conjunction with psychological interventions. Here, we review historical and modern approaches to the use of ketamine with psychotherapy, discuss the clinical relevance of ketamine’s acute psychoactive effects, propose a unique model for using esketamine with Acceptance and Commitment Therapy, and suggest considerations for (...) moving medication-assisted psychotherapy forward as a field. (shrink)

_Real Essentialism_ presents a comprehensive defence of neo-Aristotelian essentialism. Do objects have essences? Must they be the kinds of things they are in spite of the changes they undergo? Can we know what things are really like – can we define and classify reality? Many, if not most, philosophers doubt this, influenced by centuries of empiricism, and by the anti-essentialism of Wittgenstein, Quine, Popper, and other thinkers. _Real Essentialism_ reinvigorates the tradition of realist, essentialist metaphysics, defending the reality and knowability (...) of essence, the possibility of objective, immutable definition, and its relevance to contemporary scientific and metaphysical issues such as whether essence transcends physics and chemistry, the essence of life, the nature of biological species, and the nature of the person. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

"Nivison brings out the exciting variety within Confucian thought, as he interprets and elucidates key thinkers from over two thousand years, from Confucius himself, through Mencius and Xunzi, to such later Confucians as Wang Yangming, Dai Zhen, and Zhang Xuecheng."--Cover.

Necessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistently applied in explainable artificial intelligence, a fast-growing research area that is so far lacking in firm theoretical foundations. In this article, an expanded version of a paper originally presented at the 37th Conference on Uncertainty in Artificial Intelligence, we attempt to fill this gap. Building on work in logic, probability, and causality, we establish the central role of (...) necessity and sufficiency in XAI, unifying seemingly disparate methods in a single formal framework. We propose a novel formulation of these concepts, and demonstrate its advantages over leading alternatives. We present a sound and complete algorithm for computing explanatory factors with respect to a given context and set of agentive preferences, allowing users to identify necessary and sufficient conditions for desired outcomes at minimal cost. Experiments on real and simulated data confirm our method’s competitive performance against state of the art XAI tools on a diverse array of tasks. (shrink)

As machine learning has gradually entered into ever more sectors of public and private life, there has been a growing demand for algorithmic explainability. How can we make the predictions of complex statistical models more intelligible to end users? A subdiscipline of computer science known as interpretable machine learning (IML) has emerged to address this urgent question. Numerous influential methods have been proposed, from local linear approximations to rule lists and counterfactuals. In this article, I highlight three conceptual challenges that (...) are largely overlooked by authors in this area. I argue that the vast majority of IML algorithms are plagued by (1) ambiguity with respect to their true target; (2) a disregard for error rates and severe testing; and (3) an emphasis on product over process. Each point is developed at length, drawing on relevant debates in epistemology and philosophy of science. Examples and counterexamples from IML are considered, demonstrating how failure to acknowledge these problems can result in counterintuitive and potentially misleading explanations. Without greater care for the conceptual foundations of IML, future work in this area is doomed to repeat the same mistakes. (shrink)

The first English-language collection devoted to Hegel’s Philosophy of Subjective Spirit.

DCPS is a connectionist production system interpreter that uses distributed representations. As a connectionist model it consists of many simple, richly interconnected neuron‐like computing units that cooperate to solve problems in parallel. One motivation for constructing DCPS was to demonstrate that connectionist models are capable of representing and using explicit rules. A second motivation was to show how “coarse coding” or “distributed representations” can be used to construct a working memory that requires far fewer units than the number of different (...) facts that can potentially be stored. The simulation we present is intended as a detailed demonstration of the feasibility of certain ideas and should not be viewed as a full implementation of production systems. Our current model only has a few of the many interesting emergent properties that we eventually hope to demonstrate: It is damage‐resistant, it performs matching and variable binding by massively parallel constraint satisfaction, and the capacity of its working memory is dependent on the similarity of the items being stored. (shrink)

_Moral Theory_ sets out the basic system used to solve moral problems, the system that consequentialists deride as 'traditional morality'. The central concepts, principles and distinctions of traditional morality are explained and defended: rights; justice; the good; virtue; the intention/foresight distinction; the acts/omissions distinction; and, centrally, the fundamental value of human life.

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealisedexplanation gamein which players collaborate to find the best explanation(s) for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal patterns of (...) variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a (conditionally) optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory, we design an idealised explanation game in which players collaborate to find the best explanation for a given algorithmic prediction. Through an iterative procedure of questions and answers, the players establish a three-dimensional Pareto frontier that describes the optimal trade-offs between explanatory accuracy, simplicity, and relevance. Multiple rounds are played at different levels of abstraction, allowing the players to explore overlapping causal (...) patterns of variable granularity and scope. We characterise the conditions under which such a game is almost surely guaranteed to converge on a optimal explanation surface in polynomial time, and highlight obstacles that will tend to prevent the players from advancing beyond certain explanatory thresholds. The game serves a descriptive and a normative function, establishing a conceptual space in which to analyse and compare existing proposals, as well as design new and improved solutions. (shrink)

mix of the concrete and the abstract (if we include universals, laws, propositions and the like), but whichever of these is the case, the world is not purely abstract, as a formal structure is. One might claim, however, that the world is a structure1 in the sense that it instantiates a structure and is nothing else. In other words, all there is to the..

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.

abstract This paper re‐examines some well‐known and commonly accepted arguments for the non‐individuality of the embryo, due mainly to the work of John Harris. The first concerns the alleged non‐differentiation of the embryoblast from the trophoblast. The second concerns monozygotic twinning and the relevance of the primitive streak. The third concerns the totipotency of the cells of the early embryo. I argue that on a proper analysis of both the empirical facts of embryological development, and the metaphysical importance or otherwise (...) of those facts, all three arguments are found wanting. None of them establishes that the embryo is not an individual human being from the moment of conception. (shrink)

The narratives studied by schema-based models or story grammars are generally simpler than those found in literary texts, such as short stones or novels. Literary narratives are indeterminate, exhibiting conflicts between schemata and frequent ambiguities in the status of narrative elements. An account of the process of comprehending such complex narratives is beyond the reach of purely cognitive models. It is argued that during comprehension response is controlled by affect, which directs the creation of schemata more adequate to the text. (...) Several properties of affect that make it appropriate for this model of narrative are discussed. A short story by Virginia Woolf is analysed in the light of the proposed model. A study with readers of the story is described, which illustrates the process of schema formation: Shifts in the relative importance of story phrases across the reading and the comments made by readers point to a process of schema creation under the control of affect. It is argued that affect may play a more productive role in cognitive processes than is generally acknowledged. (shrink)

The old scholastic principle of the "convertibility" of being and goodness strikes nearly all moderns as either barely comprehensible or plain false. "Convertible" is a term of art meaning "interchangeable" in respect of predication, where the predicates can be exchanged salva veritate albeit not salva sensu: their referents are, as the maxim goes, really the same albeit conceptually different. The principle seems, at first blush, absurd. Did the scholastics literally mean that every being is good? Is that supposed to include (...) a cancer, a malaria parasite, an earthquake that kills millions? If every being is good, then no being is bad—but how can that be? To the contemporary philosophical mind, such bafflement is understandable. It derives from the systematic dismantling of the great scholastic edifice that took place over half a millennium. With the loss of the basic concepts out of which that edifice was built, the space created by those concepts faded out of existence as well. The convertibility principle, like virtually all the other scholastic principles (not all, since some do survive and thrive in analytic philosophy), could not persist in a post-scholastic space wholly alien to it. (shrink)

Clarke proposes a conception of philosophy that provides an alternative to the reductions of materialism and the search for normative principles. Philosophy's proper role is to describe similarities and differences among differing levels of language, specifically the familiar level of discourse within an ordinary language shared by all and the specialized discourses of social institutions such as science, law, and the arts. By constructing a logical framework in which these comparisons and contrasts can be made, philosophy performs the indispensable role (...) of promoting the integration of disparate elements of our culture. (shrink)

The Metaphysics of Good and Evil is the first, full-length contemporary defence, from the perspective of analytic philosophy, of the Scholastic theory of good and evil - the theory of Aristotle, Augustine, Aquinas, and most medieval and Thomistic philosophers. Goodness is analysed as obedience to nature. Evil is analysed as the privation of goodness. Goodness, surprisingly, is found in the non-living world, but in the living world it takes on a special character. The book analyses various kinds of goodness, showing (...) how they fit into the Scholastic theory. The privation theory of evil is given its most comprehensive contemporary defence, including an account of truthmakers for truths of privation and an analysis of how causation by privation should be understood. In the end, all evil is deviance - a departure from the goodness prescribed by a thing's essential nature. Key Features: Offers a comprehensive defence of a venerable metaphysical theory, conducted using the concepts and methods of analytic philosophy. Revives a much neglected approach to the question of good and evil in their most general nature. Shows how Aristotelian-Thomistic theory has more than historical relevance to a fundamental philosophical issue, but can be applied in a way that is both defensible and yet accessible to the modern philosopher. Provides what, for the Scholastic philosopher, is arguably the only solid metaphysical foundation for a separate treatment of the origins of morality. (shrink)

The combination of ethnographic and cognitive neuroscience research provides considerable insight into the origin and symbolism of Native Californian rock art. Although made by different social groups for different purposes in various parts of the state, the ethnographic record demonstrates that the art depicts the mental imagery and somatic hallucinations of trance, taken to represent supernatural experiences. When this art is viewed from a cognitive neuroscience perspective, it suggests that the shamanistic state of consciousness was far from primarily "ecstatic," instead (...) often involving the generation of unpleasant emotions; and that biochemical changes during trance necessitated the making of rock art if the memory of these supernatural experiences was to be preserved. (shrink)

Human rights discourse has been likened to a global lingua franca, and in more ways than one, the analogy seems apt. Human rights discourse is a language that is used by all yet belongs uniquely to no particular place. It crosses not only the borders between nation-states, but also the divide between national law and international law: it appears in national constitutions and international treaties alike. But is it possible to conceive of human rights as a global language or lingua (...) franca not just in a figurative or metaphorical sense, but in a literal or linguistic sense as a legal dialect defined by distinctive patterns of word choice and usage? Does there exist a global language of human rights that transcends not only national borders, but also the divide between domestic and international law? Empirical analysis suggests that the answer is yes, but this global language comes in at least two variants or dialects. New techniques for performing automated content analysis enable us to analyze the bulk of all national constitutions over the last two centuries, together with the world’s leading regional and international human rights instruments, for patterns of linguistic similarity and to evaluate how much language, if any, they share in common. Specifically, we employ a technique known as topic modeling that disassembles texts into recurring verbal patterns. The results highlight the existence of two species or dialects of rights talk—the universalist dialect and the positive-rights dialect—both of which are global in reach and rising in popularity. The universalist dialect is generic in content and draws heavily on the type of language found in international and regional human rights instruments. It appears in particularly large doses in the constitutions of transitional states, developing states, and states that have been heavily exposed to the influence of the international community. The positive-rights dialect, by contrast, is characterized by its substantive emphasis on positive rights of a social or economic variety, and by its prevalence in lengthier constitutions and constitutions from outside the common law world, especially those of the Spanish-speaking world. Both dialects of rights talk are truly transnational, in the sense that they appear simultaneously in national, regional, and international legal instruments and transcend the distinction between domestic and international law. Their existence attests to the blurring of the boundary between constitutional law and international law. (shrink)

We live in a liberal, pluralistic, largely secular society where, in theory, there is fundamental protection for freedom of conscience generally and freedom of religion in particular. There is, however, both in statute and common law, increasing pressure on religious believers and conscientious objectors to act in ways that violate their sincere, deeply held beliefs. This is particularly so in health care, where conscientious objection is coming under extreme pressure. I argue that freedom of religion and conscience need to be (...) put on a sounder footing both legislatively and by the courts, particularly in health care. I examine a number of important legal cases in the UK and US, where freedom of religion and conscience have come into conflict with government mandates or equality and anti-discrimination law. In these and other cases we find one of two results: either the conscientious objector loses out against competing rights, or the conscientious objector succeeds, but due to what I consider unsound judicial reasoning. In particular, cases involving cooperation in what the objector considers morally impermissible according to their beliefs have been wrongly understood by some American courts. I argue that a reasonable theory of cooperation incorporated into judicial thinking would enable more acceptable results that gave sufficient protection to conscientious objectors without risking a judicial backlash against objectors who wanted to take their freedoms too far. I also venture into broader, more controversial waters concerning what I call freedom of dissociation – the fundamental right to withdraw from associating with people, groups, and activities. It is no more than the converse of freedom of association, which all free societies recognise as a basic right. How far should freedom of dissociation go? What might society be like if freedom of dissociation were given more protection in law than it currently has? It would certainly give freedom of religion and conscience a substantial foundation, but it could also lead to discriminatory behaviour to which many people would object. I explore some of these issues, before going back to the narrower area of freedom of conscience and religion in health care, making some proposals about how the law could strengthen these basic pillars of a liberal, free society. (shrink)

This paper defends partiality as an inherent, essential part of ethical decision-making. First, the concept of charity as a kind of universal benevolence is spelled out, drawing on key ideas from classical religious thinking. I then argue that any justification of partiality must appeal to the good first, rather than rights. There follows a justification of partiality via an argument from the idea of control over the good. The next section seeks to harmonize partialistic preference with universal charity, explaining the (...) concept of love of neighbour. There follows an outline of the key principles required for setting out an order of charity based on different kinds of special relationship. While not all of this theistically driven approach to the order of charity translates easily into secular moral thought, enough does to suggest that the view defended is at the least worthy of consideration and not to be dismissed lightly. At best, it has much in it that is commendable to secular common sense. (shrink)

We examine two different descriptions of the behavioral functions of the hippocampal system. One emphasizes spatially organized behaviors, especially those using cognitive maps. The other emphasizes memory, particularly working memory, a short-term memory that requires iexible stimulus-response associations and is highly susceptible to interference. The predictive value of the spatial and memory descriptions were evaluated by testing rats with damage to the hippocampal system in a series of experiments, independently manipulating the spatial and memory characteristics of a behavioral task. No (...) dissociations were found when the spatial characteristics of the stimuli to be remembered were changed; lesions produced a similar deficit in both spatial and nonspatial test procedures, indicating that the hippocampus was similarly involved regardless of the spatial nature of the task. In contrast, a marked dissociation was found when the memory requirements were altered. Rats with lesions were able to perform accurately in tasks that could be solved exclusively on the basis of reference memory. They performed at chance levels and showed no signs of recovery even with extensive postoperative training in tasks that required working memory. In one experiment all the characteristics of the reference memory and working memory procedures were identical except the type of memory required. Consequently, the behavioral dissociation cannot be explained by differences in attention, motivation, response inhibition, or the type of stimuli to be remembered. As a result of these experiments we propose that the hippocampus is selectively involved in behaviors that require working memory, irrespective of the type of material that is to be processed by that memory. (shrink)

This collection of essays by leading sinologists, historians, and philosophers both challenges and extends the work of David Nivison, whose contributions range across moral philosophy, religious thought, intellectual history, and Chinese language. Nivison himself replies to each essay.

Work on the therapeutic misconception suggests that investigators should ensure that potential research subjects understand the fundamental differences between clinical research and clinical care. Yet, what potential research subjects should understand depends on their circumstances and the study in question. This analysis implies that researchers and review committees should stop attempting to define, measure, and dispel the therapeutic misconception, and instead should focus on what potential subjects should understand to participate in individual studies.

This essay challenges the portrayal of philosophical idealism as sinful ‘confinement in the self’, arguing that this obscures a relationship between Hegel and Bonhoeffer characterised by variation rather than contradiction. I first trace a limited congeniality between their respective critiques of the ‘beautiful soul’ and the ‘privately virtuous’, showing how both thinkers resist moral isolation through the call to confession. Second, I follow their attempts to overcome an oppositional logic between such social exchange and divine agency, rooted in the syntax (...) of Hegel’s phrase ‘God existing as community’. This provides sharper focus to Bonhoeffer’s variations, changing the subject from God to Christ and the attendant act from reciprocal confession to intercessory prayer. Rather than merely defensive revision, I argue that this reveals an agile Christology which can sustain an ethical posture of ‘being for others’ through the withheld confession and broken trust typical of a communion of sinners. (shrink)

In 1982, without waiting for the findings of the National Hospice Study, Congress passed legislation enabling certified hospices to receive Medicare reimbursement. What emerged is a reimbursement program that differs substantially from the movement that spawned it. Hospices now face many dilemmas, among them shifting the burden of care to the family, determining who controls the course of patient care, and breaking even financially.

This collection brings together six papers by leading philosophers working within the Aristotelian tradition, covering a number of topics in contemporary ...

Unsupervised learning algorithms are widely used for many important statistical tasks with numerous applications in science and industry. Yet despite their prevalence, they have attracted remarkably little philosophical scrutiny to date. This stands in stark contrast to supervised and reinforcement learning algorithms, which have been widely studied and critically evaluated, often with an emphasis on ethical concerns. In this article, I analyze three canonical unsupervised learning problems: clustering, abstraction, and generative modeling. I argue that these methods raise unique epistemological and (...) ontological questions, providing data-driven tools for discovering natural kinds and distinguishing essence from contingency. This analysis goes some way toward filling the lacuna in contemporary philosophical discourse on unsupervised learning, as well as bringing conceptual unity to a heterogeneous field more often described by what it isnot(i.e., supervised or reinforcement learning) than by what itis. I submit that unsupervised learning is not just a legitimate subject of philosophical inquiry but perhaps the most fundamental branch of all AI. However, an uncritical overreliance on unsupervised methods poses major epistemic and ethical risks. I conclude by advocating for a pragmatic, error-statistical approach that embraces the opportunities and mitigates the challenges posed by this powerful class of algorithms. (shrink)