In the late summer of 1998, the authors, a cognitive scientist and a logician, started talking about the relevance of modern mathematical logic to the study of human reasoning, and we have been talking ever since. This book is an interim report of that conversation. It argues that results such as those on the Wason selection task, purportedly showing the irrelevance of formal logic to actual human reasoning, have been widely misinterpreted, mainly because the picture of (...) logic current in psychology and cognitive science is completely mistaken. We aim to give the reader a more accurate picture of mathematical logic and, in doing so, hope to show that logic, properly conceived, is still a very helpful tool in cognitive science. The main thrust of the book is therefore constructive. We give a number of examples in which logical theorizing helps in understanding and modeling observed behavior in reasoning tasks, deviations of that behavior in a psychiatric disorder (autism), and even the roots of that behavior in the evolution of the brain. (shrink)

This is a review of John Schellenberg's book.

We consider the argument that Tarski's classic definitions permit an intelligence---whether human or mechanistic---to admit finitary evidence-based definitions of the satisfaction and truth of the atomic formulas of the first-order Peano Arithmetic PA over the domain N of the natural numbers in two, hitherto unsuspected and essentially different, ways: (1) in terms of classical algorithmic verifiabilty; and (2) in terms of finitary algorithmic computability. We then show that the two definitions correspond to two distinctly different assignments of satisfaction and (...) truth to the compound formulas of PA over N---I_PA(N; SV ) and I_PA(N; SC). We further show that the PA axioms are true over N, and that the PA rules of inference preserve truth over N, under both I_PA(N; SV ) and I_PA(N; SC). We then show: (a) that if we assume the satisfaction and truth of the compound formulas of PA are always non-finitarily decidable under I_PA(N; SV ), then this assignment corresponds to the classical non-finitary putative standard interpretation I_PA(N; S) of PA over the domain N; and (b) that the satisfaction and truth of the compound formulas of PA are always finitarily decidable under the assignment I_PA(N; SC), from which we may finitarily conclude that PA is consistent. We further conclude that the appropriate inference to be drawn from Goedel's 1931 paper on undecidable arithmetical propositions is that we can define PA formulas which---under interpretation---are algorithmically verifiable as always true over N, but not algorithmically computable as always true over N. We conclude from this that Lucas' Goedelian argument is validated if the assignment I_PA(N; SV ) can be treated as circumscribing the ambit of human reasoning about `true' arithmetical propositions, and the assignment I_PA(N; SC) as circumscribing the ambit of mechanistic reasoning about `true' arithmetical propositions. (shrink)

”Meaningful human control” is a term invented in the political and legal debate on autonomous weapons system, but it is nowadays also used in many other contexts. It is supposed to specify conditions under which an artificial system is under the right kind of control to avoid responsibility gaps: that is, situations in which no moral agent is responsible. Santoni de Sio and Van den Hoven have recently suggested a framework that can be used by system designers to operationalize (...) this kind of control. It is the purpose of this paper to facilitate further operationalization of ”meaningful human control”. -/- This paper consists of two parts. In the first part I resolve an ambiguity that plagues current operationalizations of MHC. One of the design conditions says that the system should track the reasons of the relevant agents. This condition is ambiguous between the kind of reasons involved. On one interpretation it says that a system should track motivating reasons, while it is concerned with normative reasons on the other. Current participants in the debate interpret the framework as being concerned with (something in the vicinity of) motivating reasons. I argue against this interpretation by showing that meaningful human control requires that a system tracks normative reasons. Moreover, I maintain that an operationalization of meaningful human control that fails to track the right kind of reasons is morally problematic.When this is properly understood, it can be shown that the framework of MHC is committed to the agent-relativity of reasons. More precisely, I argue in the second part of this paper that if the tracking condition of MHC plays an important role in responsibility attribution (as the proponents of the view maintain), then the framework is incompatible with first-order normative theories that hold that normative reasons are agent-neutral (such as many versions of consequentialism). In the final section I present three ways forward for the proponent of MHC as reason-responsiveness. (shrink)

Inventing novel knowledge to solve problems is a crucial, creative, mechanism employed by humans, to extend their range of action. In this paper, we present TCL (typicality-based compositional logic): a probabilistic, non monotonic extension of standard Description Logics of typicality, and will show how this framework is able to endow artificial systems of a human-like, commonsense based, concept composition procedure that allows its employment in a number of applications (ranging from computational creativity to goal-based reasoning to recommender systems (...) and affective computing). -/- The framework relies on 3 main ingredients: a non monotonic extension of standard Description Logics (allowing to reason on exceptions to inheritance in standard knowledge bases) a probabilistic extension coming from the field of logic programming (the DISPONTE semantics) a cognitive heuristics known ad HEAD-Modifier determining preference rules for the inheritance mechanisms of the novel concepts to be generated via commonsense rules. -/- We report the obtained results and the lessons learned of this research path in the context of model-based AI applications. -/- . (shrink)

In this commentary paper, we are taking one step further in questioning the central assumptions in the bioethical debates about reproductive technologies. We argue that the very distinction between “person affecting” and “identity affecting” interventions is based on a questionable form of material-origin essentialism. Questioning of this form of essentialist approach to human identity allows treating genome editing and genetic selection as more similar than they are taken to be in the standard approaches. It would also challenge the idea (...) that normative reasons we have in these two types of cases markedly differ in strength. (shrink)

The “detection” of God by humans is based on the supernatural nature of human reasoning in which the inferior supernatural being “detects” the infinitely superior supernatural Being. Purely physical devices cannot accomplish that.

This paper concerns the double standard debate in the ethics of AI literature. This debate essentially revolves around the question of whether we should subject AI systems to different normative standards than humans. So far, the debate has centered around the desideratum of transparency. That is, the debate has focused on whether AI systems must be more transparent than humans in their decision-making processes in order for it to be morally permissible to use such systems. Some have argued that the (...) same standards of transparency should be applied across the board, for AI systems and humans alike. Others have argued that we should hold AI systems to higher standards than humans in terms of transparency. In this paper, we first point out that there are structurally similar double standard debates to be had about other desiderata besides transparency, such as predictive accuracy. Second, we argue that when we focus on predictive accuracy, there are at least two reasons for holding AI systems to a lower standard than humans. (shrink)

Teichmann’s book is a contemplative study of issues in ethics and language, in two senses. First, it is characteristic of the style of the book, which is as much ruminative as argumentative. Second, a consistent theme in the book is the significance of what Teichmann takes Aristotle to be after in advocating a life of contemplation as our highest end. Early on Teichmann reminds us of Wittgenstein’s references to ‘pictures’ or ‘ways of seeing’ things that frame the questions we ask (...) and determine what will count as adequate answers (§1.ix). Teichmann can be seen as exploring one such picture, in which questions about human nature, human lives, reasons, and language interact in ways that are mutually illuminating. This picture is not perhaps in the mainstream of contemporary moral philosophy, but Teichmann’s development of it is insightful and provocative. It emerges through broad discussions in five chapters. (shrink)

In 1984 the author published From Knowledge to Wisdom, a book that argued that a revolution in academia is urgently needed, so that problems of living, including global problems, are put at the heart of the enterprise, and the basic aim becomes to seek and promote wisdom, and not just acquire knowledge. Every discipline and aspect of academia needs to change, and the whole way in which academia is related to the rest of the social world. Universities devoted to the (...) pursuit of knowledge and technological know-how betray reason and, as a result, betray humanity. As a result of becoming more intellectually rigorous, academic inquiry becomes of far greater benefit to humanity. If the revolution argued for all those years ago had been taken up and put into academic practice, we might now live in a much more hopeful world than the one that confronts us. Humanity might have begun to learn how to solve global problems; the Amazon rain forests might not face destruction; we might not be faced with mass extinction of species; Brexit might not have been voted for in the UK in 2016, and Trump might not have been elected President in the USA. An account is given of work published by the author during the years 1972 to 2021 that expounds and develops the argument. The conclusion is that we urgently need to create a high-profile campaign devoted to transforming universities in the way required so that humanity may learn how to make social progress towards a better, wiser, more civilized, enlightened world. (shrink)

This chapter sets forth an interpretation of public reason that appeals to our central capabilities as human beings. I argue that appealing to central human capabilities and to the related idea of respect for threshold capabilities is the best way to understand public reason. My defense of this position advances stepwise: first, I consider a central alternative to a capability account, which regards public reason as a matter of contracting; next, I describe central concerns with contract views and (...) show how a capability view can avoid them; lastly, I consider extending public reason beyond national borders and test the two views in this context. (shrink)

Many artificial intelligence (AI) systems currently used for decision-making are opaque, i.e., the internal factors that determine their decisions are not fully known to people due to the systems’ computational complexity. In response to this problem, several researchers have argued that human decision-making is equally opaque and since simplifying, reason-giving explanations (rather than exhaustive causal accounts) of a decision are typically viewed as sufficient in the human case, the same should hold for algorithmic decision-making. Here, I contend that (...) this argument overlooks that human decision-making is sometimes significantly more transparent and trustworthy than algorithmic decision-making. This is because when people explain their decisions by giving reasons for them, this frequently prompts those giving the reasons to govern or regulate themselves so as to think and act in ways that confirm their reason reports. AI explanation systems lack this self-regulative feature. Overlooking it when comparing algorithmic and human decision-making can result in underestimations of the transparency of human decision-making and in the development of explainable AI that may mislead people by activating generally warranted beliefs about the regulative dimension of reason-giving. (shrink)

I shall be dealing, throughout this book, with a set of related problems: the relationship between morality and reasoning in general, the way in which moral reasoning is properly to be carried on, and why morality is not arbitrary. The solutions to these problems come out of the same train of argument. Morality is not arbitrary, I shall argue, because the acceptance of certain qualities of character as virtues and the rejection of others as vices is forced on (...) us by the co-operative basis of human life. The co-operation in human life is unavoidable; the alternative is a literal Hobbesian state of nature, and that is impossible. It is not that co-operation between people is a good thing or even a very good thing; it is simply unavoidable in human life, and it is impossible unless the qualities of character counted as virtues are encouraged and are at least fairly common. The possibility of human life presupposes a theory of human nature, and working out that theory of human nature is the main job of moral philosophy. These virtues or qualities of character or attitudes lead us towards a theory of reasons. A person with a sense of justice is a person inclined to accept certain sorts of facts as reasons for acting, and if the virtues are presupposed by human life then the acceptance of those sorts of facts as reasons for acting is presupposed by human life. A condition of the life of reasoning beings (a more accurate term here than 'human beings') is that moral reasons are reasons for acting and are at the very basis of reasoning. And from this it follows that properly conducted moral reasoning is ultimately guided by the virtues rather than ultimately guided by a set of rules. (shrink)

If universities sought to help promote human welfare rationally, they would give intellectual priority to the tasks of articulating problems of living, and proposing and critically assessing possible solutions, possible actions. Priority would be given to public education about what our problems are, and what we need to do about them. Universities do not remotely proceed in this way. Why not? Because they are dominated by the idea that knowledge must first be acquired; once acquired, it then can be (...) applied to help solve social problems. But this idea violates the most elementary rules of rational problem solving. Judged from the standpoint of helping to promote human welfare, universities today, devoted in the first instance to the pursuit of knowledge, are profoundly and damagingly irrational in a structural way, and it is this structural irrationality of universities that in part accounts for the genesis of global problems that threaten our future, and for our current incapacity to solve them. We urgently need to bring about a revolution in our universities so that they come to pursue the welfare of humanity in a genuinely rational, and active, way, and thus help save humanity from impending disaster. (shrink)

Chauncey Wright was an early intellectual follower of Darwin, and a mentor to American pragmatists, C.S. Peirce and William James. Starting with the discussion of Wright’s interpretation of natural selection, the paper proceeds to outline the distinction he draws between theoretical (scientific) and practical consciousness and the way that this distinction plays out in his account of the development of human consciousness within the context of natural selection. Formulating the problem of reconfiguring the relationship between instrumental intelligence and detached (...) theoretical reason in the light of evolutionary thinking is then identified as central to understanding Wright’s intellectual legacy. (shrink)

There is a long tradition in formal epistemology and in the psychology of reasoning to investigate indicative conditionals. In psychology, the propositional calculus was taken for granted to be the normative standard of reference. Experimental tasks, evaluation of the participants’ responses and psychological model building, were inspired by the semantics of the material conditional. Recent empirical work on indicative conditionals focuses on uncertainty. Consequently, the normative standard of reference has changed. I argue why neither logic nor standard probability theory (...) provide appropriate rationality norms for uncertain conditionals. I advocate coherence based probability logic as an appropriate framework for investigating uncertain conditionals. Detailed proofs of the probabilistic non-informativeness of a paradox of the material conditional illustrate the approach from a formal point of view. I survey selected data on human reasoning about uncertain conditionals which additionally support the plausibility of the approach from an empirical point of view. (shrink)

The question of our place in nature has long been with us. One answer lies in comparing humans with other animals , thereby highlighting the uniquely human. To this end, I examine the distinction between humans and brutes as delineated by Descartes, Kant, and the Chicago pragmatist George Mead. This selection not merely assures a wide-spectrum of opinion still alive today, it marks a general historical shift from the metaphysical dualism of Descartes' mechanical world and spiritual self, to the (...) epistemic dualism of Kant and his double sense of self, finally to Mead's naturalistic monism, in which consciousness emerges naturally from the non-conscious. Apart from illuminating issues current in the animal-rights literature, examining this single topic casts a new light on these figures, especially Kant and Mead . Descartes' dualism is understandable simply given his scientific commitments, and the chasm he found in the human/brute gap was as much a result of this scientific motivation as any religious or moral one. For Kant, brutes lack the power to judge, understand, or reason. But more importantly, they lack autonomy and are therefore without moral worth. The unbridgeable chasm, metaphysical for Descartes, became for Kant primarily moral. Brutes do have representations and desires, however, and, by virtue of being alive, an immaterial principle; Kant consequently rejected Descartes' animal-machine hypothesis. Darwin's account of the human/brute gap and Mead's Darwinistic psychology are discussed. Selfhood and consciousness are unique to humans, although brutes are conscious in another sense. Mead's different uses of 'consciousness' are separated in order to clarify this difference as well as the role of language in the emergence of mind. Mead argued that humans perceive social objects prior to physical objects while brutes perceive none of these, lacking the capacities of universalization and object-manipulation. Like Descartes and Kant, Mead minimized brute experience, thereby maintaining a wide gulf between humans and brutes despite his Darwinian naturalism. (shrink)

The question as to whether Ian Hacking’s project of scientific styles of thinking entails epistemic relativism has received considerable attention. However, scholars have never discussed it vis-à-vis Wittgenstein. This is unfortunate: not only is Wittgenstein the philosopher who, together with Foucault, has influenced Hacking the most, but he has also faced the same accusation of ‘relativism’. I shall explore the conceptual similarities and differences between Hacking’s notion of style of thinking and Wittgenstein’s conception of form of life. It is a (...) fact that whether or not the latter entails epistemic relativism is still a controversial question. From my comparative analysis, it will emerge that there are stronger reasons to conclude that Hacking’s notion of style leads to epistemic relativism than there are to reach the same conclusion in the case of Wittgenstein’s conception of form of life. This point will be at odds with the anti-relativistic stance that Hacking has taken in his more recent writings. (shrink)

Which rules should guide our reasoning? Human reasoners often use reasoning shortcuts, called heuristics, which function well in some contexts but lack the universality of reasoning rules like deductive implication or inference to the best explanation. Does it follow that human reasoning is hopelessly irrational? I argue: no. Heuristic reasoning often represents human reasoners reaching a local rational maximum, reasoning more accurately than if they try to implement more “ideal” rules of (...) reasoning. I argue this is a genuine rational achievement. Our ideal rational advisors would advise us to reason with heuristic rules, not more complicated ideal rules. I argue we do not need a radical new account of epistemic norms to make sense of the success of heuristic reasoning. (shrink)

According to some philosophers, if moral agency is understood in behaviourist terms, robots could become moral agents that are as good as or even better than humans. Given the behaviourist conception, it is natural to think that there is no interesting moral difference between robots and humans in terms of moral agency (call it the _equivalence thesis_). However, such moral differences exist: based on Strawson’s account of participant reactive attitude and Scanlon’s relational account of blame, I argue that a distinct (...) kind of reason available to humans—call it _human-relative reason_—is not available to robots. The difference in moral reason entails that sometimes an action is morally permissible for humans, but not for robots. Therefore, when developing moral robots, we cannot consider only what humans can or cannot do. I use examples of paternalism to illustrate my argument. (shrink)

Just like Rudolf Carnap, but in a slightly different composition, I divide language into three types of conceptual means: classification, specifically scientific and specifically general comparative concepts of different types. I associate classification concepts with the ability to reason on any topic, that is, with reasonable thinking. Concrete scientific comparative concepts determine the comprehension of natural and social processes, their objective cognition in the form of rational thinking (reason), while concrete universal comparative concepts define philosophy (wisdom), understood as knowledge of (...) the universal. Based on three types of thinking (prudence, reason, wisdom) in 2010 at a symposium in Greece, I presented the ideas of morality in the context of human development in the form of a proposed article. (shrink)

A bad philosophy of inquiry, built into the intellectual/institutional structure of universities round the world, betrays both reason and humanity.

Reasoning es una obra monumental de más de mil páginas editada en estrecha colaboración por el filósofo Jonathan E. Adler y el psicólogo Lance J. Rips para esclarecer el intrincado campo de investigación relacionado con los fundamentos de la inferencia y, en general, del razonamiento humano. En la actualidad, en pocos casos va unido el trabajo de compilar y editar textos científicos con el afán enciclopédico: un proyecto editorial que sobrepasa con razón los objetivos de la mayor parte de (...) los libros editados para la recopilación de artículos en torno a un mismo tema de investigación. Reasoning supone un empeño de características enciclopédicas: ha conseguido convertirse en una referencia obligada desde que saliera a la luz en 2008 para ofrecer al lector especialista artículos científicos de las más reputadas y consolidadas voces en aquellos campos de conocimiento presentes ya en los proyectos enciclopédicos europeos del siglo de las luces, a saber: el significado del racionalismo, los límites imputables a la naturaleza del conocimiento humano, las paradojas presentes en la inducción, etc. (shrink)

Abstract: Many believe that, in addition to cognitive capacities, autonomous robots need something similar to affect. As in humans, affect, including specific emotions, would filter robot experience based on a set of goals, values, and interests. This narrows behavioral options and avoids combinatorial explosion or regress problems that challenge purely cognitive assessments in a continuously changing experiential field. Adding human-like affect to robots is not straightforward, however. Affect in organisms is an aspect of evolved biological systems, from the taxes (...) of single-cell organisms to the instincts, drives, feelings, moods, and emotions that focus human behavior through the mediation of hormones, pheromones, neurotransmitters, the autonomic nervous system, and key brain structures. We argue that human intelligence is intimately linked to biological affective systems and to the unique repertoire of potential behaviors, sometimes conflicting, they facilitate. Artificial affect is affect in name only and without genes and biological bodies, autonomous robots will lack the goals, interests, and value systems associated with human intelligence. We will take advantage of their general intelligence and expertise, but robots will not enter our intellectual world or apply for legal status in the community. -/- . (shrink)

What reasons do we have to use certain concepts and conceptions rather than others? Approaching that question in a methodologically humanistic rather than Platonic spirit, one might seek “reasons for concept use” in how well concepts serve the contingent human concerns of those who live by them. But appealing to the instrumentality of concepts in meeting our concerns invites the worry that this yields the wrong kind of reasons, especially if the relevant concerns are nonmoral ones. Drawing on Susan (...) Wolf’s work on the moral/nonmoral distinction and the neglected role of reasons of love, I argue that this worry is misplaced, and in fact overlooks some of our most important reasons to prefer certain concepts over others. Yet a lingering worry remains, namely that the value of concepts does not just lie in what they are good for. Drawing on another strand in Wolf’s work, I explore the question whether concepts can be valuable good-for-nothings, and show how this ultimately also underscores the importance of reasons of love as reasons for concept use. (shrink)

While growing empirical evidence suggests a continuity between human and non-human psychology, many philosophers still think that only humans can act and form beliefs rationally. In this paper, we challenge this claim. We first clarify the notion of rationality. We then focus on the rationality of beliefs and argue that, in the relevant sense, humans are not the only rational animals. We do so by first distinguishing between unreflective and reflective responsiveness to epistemic reasons in belief formation and (...) revision. We argue that unreflective responsiveness is clearly within the reach of many animals. We then defend that a key demonstration of reflective responsiveness would be the ability to respond to undermining defeaters. We end by presenting some empirical evidence that suggests that some animal species are capable of processing these defeaters, which would entail that even by the strictest standards, humans are not the only rational animals. (shrink)

This substantial book is a highly original and thorough work of synthetic first philosophy. Although it has some recognizable roots in the Kantian/Sellarsian tradition of the Pittsburgh school, it adds a wealth of precise discussion of examples from science and mathematics, made possible by Macbeth's dual training in arts and sciences. It presents a developmental story of human reason bootstrapping itself towards greater power and clarity through the Western tradition (which is the sole purview of the discussion). This development (...) is divided into three distinct stages, which might be summarized very roughly as knowledge of: i) Objects, ii) Concepts applied to Objects and iii) Concepts alone. (shrink)

Spinoza attributes mentality to all things existing in nature. He claims that each thing has a mind that perceives everything that happens in the body. Against this panpsychist background, it is unclear how consciousness relates to the nature of the mind. This study focuses on Spinoza’s account of the conscious mind and its operations. It builds on the hypothesis that Spinoza’s panpsychism can be interpreted as a self-consistent philosophical position. It aims at providing answers to the following questions: what is (...) consciousness, for Spinoza, and what are the causes that determine its presence in nature? How can human and non-human individuals be distinguished on account of their mentality? How can Spinoza conceive of the human mind as consisting entirely of conscious perceptions? And how, according to Spinoza’s mind-body parallelism, is the content of consciousness determined so that it reflects in thought the order and connection of the actions and passions of the body? To address these questions, I first determine what Spinoza’s notion of “consciousness” is and how he uses it. Then, I investigate whether he has a theory of recognition capable of accounting for specifically human behaviour and mentality. Further, I examine his description of memory and the way in which memory shapes the framework of human conscious thought. Finally, I look for an account of discursive reasoning, capable of explaining the existence of activities of the mind that, by operating on the content provided by memory, preserve themselves through time and change. (shrink)

In the practical philosophy of the Discours de la Méthode, before the theoretical metaphysics of Part Four and the Meditationes, Descartes gives us an inductive argument that his method, the procedure and cognitive psychology, is veracious at its inception. His evidence, akin to his Scholastic predecessors, is God, a maximally perfect being, established an ontological foundation for knowledge such that reason and nature are isomorphic. Further, the method, he tells us, is a functional definition of human reason; that is, (...) like other rationalists during this period, he holds the structure of reason maps onto the world. The evidence for this thesis is given in what I call the groundwork to Descartes’ philosophical system, essentially the first half of the Discours, where, through a series of examples in the preamble of Part Two, he, step-by-step, ascends from the perfection of artifacts through the imposition of reason to the perfection of a constituent’s use of her cognitive faculties, to God perfecting and ordering reality. Finally, he descends, establishing the structure of human reason, which undergirds and entails the procedure of the method. (shrink)

Contemporary reluctance to consider any complicity between philosophy and religion has led to an inability to consider, in Hegel studies, how the revelatory agency of the Absolute necessarily complements the narrative of human reason. According to Hegel, reason alone can do no more than end in the endless limitations of actuality, in the infinite approximations of a moral summum bonum and in the ad infinitum strivings for concrete political freedom. Recognizing where revelatory agency occurs in Hegel’s Science allows us (...) to recognize the Idea’s freedom in the worldly, human expressions of art, religion and philosophy, in their philosophical study within the state University. Without such recognition, both Left and Right fields of Hegel interpretation tend to evaluate the success (or failure) of his philosophy based on inflated, unrealistic expectations of what is meant by “actuality.”. (shrink)

Scriptural Reasoning (SR) is a practice of philosophic theology that is offered as a rationally warranted albeit fallible response to the inadequacies of modern liberal and anti-liberal theologies whether they are adopted as academic projects or as dimensions of lived religious practice. In terms of everyday religious practice in the West today, SR may be characterized as an effort, at once, to help protect Abrahamic folk traditions (that is, of Christianity, Judaism, and Islam) from the cultural and theological effects (...) of residual western colonialism and to help protect religiously pluralist societies in the West from reactionary, anti-modern movements within these traditions. In the terms of recent academic discourse in theology, SR may be characterized as pragmatic, postliberal, scriptural, and inter-Abrahamic. SR may be labeled “pragmatic,” because it employs philosophic reasoning only to identify problems in its practitioners’ communities of everyday practice and in the institutions that are expected to repair them. SR may be labeled “postliberal,” because it emerges as a response to problems in the projects of modern, liberal theology, in particular this theology’s inadequate attention to problems in everyday practice. At the same time, SR is equally critical of anti-liberal theologies, or those that, rejecting the autonomy of human reason, argue for the opposite: grounding all projects of reasoning on a practice of “Christian reasoning” per se (or, comparably, of other confession-grounded reasonings). (shrink)

Humans are obsolete. In the post-ChatGPT era, artificial intelligence systems have replaced us in the last sectors of life that we thought were our personal kingdom. Yet, humans still have a place in this life. But they can find it only if they forget all those things that we believe make us unique. Only if we go back to doing nothing, can we truly be alive and meet our Self. Only if we stop thinking can we accept the Cosmos as (...) it is and know what Being is. Only if we become irrational can we ever understand what AI will never understand. Humans need to destroy what they have created, because in the world they have built they have no place. Unless we become children once more. And laugh for no reason. In a cosmos that was meant to be our home. (shrink)

In ‘Public Reason and Prenatal Moral Status’ (2015), Jeremy Williams argues that the ideal of Rawlsian public reason commits its devotees to the radically permissive view that abortion ought to be available with little or no qualification throughout pregnancy. This is because the only (allegedly) political value that favours protection of the foetus for its own sake—the value of ‘respect for human life’—turns out not to be a political value at all, and so its invocation in support of considerations (...) bearing upon the permissibility of abortion is beyond public reason’s remit. Thus, it will scarcely if ever be legitimate to restrict women’s equality and bodily autonomy for the sake of the foetus, even at full term. In this paper, I argue that Williams fails to establish that Rawlsian reasonable citizens must endorse the radically permissive stance vis-à-vis abortion. Citizens can, I claim, reasonably accord the value of respect for human life weight, and indeed converge on the claim that it outweighs other salient political values, during later stages of gestation. Nevertheless, Williams’s argument gets something right in that it reveals why the value of respect for human life is inadmissible at the bar of public reason in early stages of pregnancy. But then, far from throwing Rawlsian public reason into disrepute, Williams’s argument actually (albeit inadvertently) provides arguably more compelling grounds than any hitherto rallied for endorsing Rawls’s much maligned claim that opposition to the duly qualified right to abortion in the first trimester of pregnancy is ‘unreasonable’. (shrink)

This paper presents an attempt to bridge the gap between logical and cognitive treatments of strategic reasoning in games. There have been extensive formal debates about the merits of the principle of backward induction among game theorists and logicians. Experimental economists and psychologists have shown that human subjects, perhaps due to their bounded resources, do not always follow the backward induction strategy, leading to unexpected outcomes. Recently, based on an eye-tracking study, it has turned out that even (...) class='Hi'>human subjects who produce the outwardly correct ‘backward induction answer’ use a different internal reasoning strategy to achieve it. The paper presents a formal language to represent different strategies on a finer-grained level than was possible before. The language and its semantics help to precisely distinguish different cognitive reasoning strategies, that can then be tested on the basis of computational cognitive models and experiments with human subjects. The syntactic framework of the formal system provides a generic way of constructing computational cognitive models of the participants of the Marble Drop game. (shrink)

Practical reason is the general human capacity for resolving, through reflection, the question of what one is to do. Deliberation of this kind is practical in at least two senses. First, it is practical in its subject matter, insofar as it is concerned with action. But it is also practical in its consequences or its issue, insofar as reflection about action itself directly moves people to act. Our capacity for deliberative self-determination raises two sets of philosophical problems. For one (...) thing, there are questions about how deliberation can succeed in being practical in its issue. What do we need to assume—both about agents and about the processes of reasoning they engage in—to make sense of the fact that deliberative reflection can directly give rise to action? Can we do justice to this dimension of practical reason while preserving the idea that practical deliberation is genuinely a form of reasoning? For another, there are large issues concerning the content of the standards that are brought to bear in practical reasoning. Which norms for the assessment of action are binding on us as deliberating agents? Do these norms provide resources for critical reflection about our ends, or are they exclusively instrumental? Under what conditions do moral norms yield valid standards for reasoning about action? The first set of issues is addressed in sections §§1–3 of the present article, while sections §§4–6 cover the second set of issues. (shrink)

The Habermas–Foucault debate, despite the excellent commentary it has generated, has the standing of an ‘unfinished project’ precisely because it occasions the interrogation of the fundamental categories of modernity, and because the lingering sense of anxiety, which continues to remain after arguments and counter-arguments, demands new interpretations. Here, I advance the claim that what gives Habermas’s criticisms of Foucault’s histories and theoretical formulations their bite is the categorial distinction he maintains between facts and rights, and by extension, between causes and (...) reasons. The Kantian distinction between de jure validity and de facto effectivity underwrites the categorial distinction between both ‘norms/facts’ and ‘reasons/causes’ conceptual pairs, which distinction, in turn, is reinforced by a picture of the natural world as matter in motion and human agency as self-determination. I want to claim that Foucault’s work enacts a critique of Habermas not by evading the problem of justification but by undermining the very distinctions Habermas needs to maintain the universal and necessary status of communicative rationality. Drawing on Jonathan Lear’s discussion of reasons and causes in relation to the unconscious, I claim that psychoanalytic discourse helps us make intelligible a type of reflection—such as one finds in Foucault’s historiography—that is at once “critical and empirical.” Moreover, the realization that the distinction between causes and reasons may not be categorial and exhaustive shows how Habermas’s insistence on the contrary leads to one particular kind of misrecognition of our practices. (shrink)

This article addresses the so-called to human rights. Focusing specifically on the work of Onora O'Neill, the article challenges two important aspects of her version of this objection. First: its narrowness. O'Neill understands the claimability of a right to depend on the identification of its duty-bearers. But there is good reason to think that the claimability of a right depends on more than just that, which makes abstract (and not welfare) rights the most natural target of her objection (section (...) II). After examining whether we might address this reformulated version of O'Neill's objection by appealing to the specificity afforded to human rights in international, regional and domestic law (in section III), the article challenges a second important feature of that objection by raising doubts about whether claimability is a necessary feature of rights at all (section IV). Finally, the article reflects more generally on the role of abstraction in the theory and practice of human rights (section V). In sum, by allaying claimability-based concerns about abstract rights, and by illustrating some of the positive functions of abstraction in rights discourse, the article hopes to show that abstract rights are not only theoretically coherent but also useful and important. (shrink)

A lively debate in the literature on moral progress concerns the role of practical reasoning: Does it enable or subvert moral progress? Rationalists believe that moral reasoning enables moral progress, because it helps enhance objectivity in thinking, overcome unruly sentiments, and open our minds to new possibilities. By contrast, skeptics argue that moral reasoning subverts moral progress. Citing growing empirical research on bias, they show that objectivity is an illusion and that moral reasoning merely rationalizes pre-existing (...) biased moral norms. In this article, I argue that both the rationalists and the skeptics fail to understand fully the role of practical reasoning by focusing exclusively on moral reasoning to the neglect of social reasoning. In the first half of the article, I argue against the skeptics by vindicating moral reasoning. I identify a Democratic Model of moral reasoning which is reliable and effective in overcoming bias. In the second part of the article, I argue against the rationalists. Drawing on a paradigmatic case of moral progress, i.e., the British abolition of the slave trade, I illustrate that moral reasoning, even when sound, is insufficient to motivate progressive action. The explanation for this puzzling phenomenon is not that the moral norm against cruelty is inert, as skeptics might suggest. Rather, it is that the moral norm against cruelty was overridden by the social norm of slavery which was tied to the British joint commitments to freedom and national honour. The debate between rationalists and skeptics centers around the moral rationality of human action, failing to recognize that human action is in fact primarily about social rationality. I defend a joint commitment account of social rationality, and offer a novel Communitarian Model of social reasoning which follows the logic of social rationality to revise social norms. I defend the reliability and efficacy of the Communitarian Model of social reasoning by applying it to the abolitionist social movement to show how Britons gave fellow Britons social reasons grounded in their joint commitments to freedom and national honour to end slavery. (shrink)

An exploration (in Arabic) of the foundations of humans rights and the associated notion of human dignity. These include religious, rational-secular, as well as naturalistic foundations. Arguments are presented in support of naturalistic foundations, with reference to natural human needs and dispositions and 'moral sentiments'.

An elderly patient in a care home only wants human nurses to provide her care – not robots. If she selected her carers based on skin colour, it would be seen as racist and morally objectionable, but is choosing a human nurse instead of a robot also morally objectionable and speciesist? A plausible response is that it is not, because humans provide a better standard of care than robots do, making such a choice justifiable. In this paper, I (...) show why this response is incorrect, because robots can theoretically care as well as human nurses can. I differentiate between practical caring and emotional caring, and I argue that robots can match the standard of practical care given by human nurses, and they can simulate emotional care. There is growing evidence that people respond positively to robotic creatures and carebots, and AI software is apt to emotionally support patients in spite of the machine’s own lack of emotions. I make the case that the appearance of emotional care is sufficient, and need not be linked to emotional states within the robot. After all, human nurses undoubtedly ‘fake’ emotional care and compassion sometimes, yet their patients still feel adequately cared for. I show that it is a mistake to claim that ‘the human touch’ is in itself a contributor to a higher standard of care; ‘the robotic touch’ will suffice. Nevertheless, it is not speciesist to favour human nurses over carebots, because carebots do not suffer as the result of such a choice. (shrink)

Copernican reasoning involves considering ourselves, in the absence of other information, to be randomly selected members of a reference class. Consider the reference class intelligent observers. If there are extraterrestrial intelligences (ETIs), taking ourselves to be randomly selected intelligent observers leads to the conclusion that it is likely the Earth has a larger population size than the typical planet inhabited by intelligent life, for the same reason that a randomly selected human is likely to come from a more (...) populous country. The astrophysicist Fergus Simpson contends that this reasoning supports the claims that the typical planet inhabited by ETIs is smaller than Earth (radius about 5,000km; cf. Earth's radius = 6,371km) and that the typical ETI is significantly larger than us about 314kg, the size of an adult male grizzly bear). Simpson's applications of Copernican reasoning are novel and exciting. They should be of interest to philosophers concerned with Richard Gott's delta t argument, the N=1 problem in astrobiology, limited principles of indifference, and probabilistic epistemology in general. While we agree with Simpson about the qualitative direction of his conclusions, we take issue with his presentation of precise quantitative results because his methods (1) display bias, (2) ignore other variables contributing to population size, (3) commit an equivocation, and (4) conceal their dependence on arbitrary assumptions. (shrink)

In middle to late Byzantium, one finds dogmatic-style sceptical arguments employed against human reason in relation to divine revelation, where revelation becomes the sole criterion of certain truth in contrast to reason. This argumentative strategy originates in early Christian authors, especially Clement of Alexandria (c. 150–215 CE) and Gregory Nazianzen (c. 329–390 CE), who maintain that revelation is the only domain of knowledge where certainty is possible. Given this, one finds two striking variations of this sceptical approach: a “mild” (...) variant (represented by Clement), where knowledge derived from human reason admits partial access to truths manifested in revelation, if imperfect; and a “strict” variant (represented by Gregory), where knowledge derived from human reason does not admit any access to truths in revelation. This paper analyzes the three Byzantines, Nicholas of Methone (d. 1160/66 CE), Theodore Metochites (1270–1320 CE), and Gregory Palamas (1296–1357/59 CE), who each display certain tendencies toward these two “poles” in their respective epistemological positions on knowledge through reason and faith. (shrink)

A central task of schooling is to cultivate reasonableness in students. In this chapter we show how the teaching of reasonableness can be practiced successfully in secondary schools, using materials from the Western Australian curriculum. The discussion proceeds in four stages. We first defend the claim that the teaching of reasonable is a key aim of schooling. Here we offer an account of reasonableness, which we take to be both a skill and a disposition. Students learn reasonableness through the practice (...) of specific skills such as open and curious questioning, clarifying, and categorizing, and evaluating the merits of each contribution toward the problem or question under consideration. Reasonableness comes about as a joint commitment between the individual and the group to be honest in their views, to take care of those views, and for everyone to recognize that each member is a partial bearer of truth. Secondly, we discuss the pedagogies that cultivate reasonableness. The Philosophical Community of Inquiry is a natural pedagogy for this purpose. This can be supplemented with the thinking tools approach of Cam’s Twenty Thinking Tools or Harvard Project Zero’s Thinking Routines. In addition, we introduce our own two skill-building exercises, the Reasoning Game and the Argument Game. Thirdly, we show how this approach can be applied not just in Philosophy classes, but in the Humanities and Social Sciences. We argue that our approach brings these subjects to life, it develops understanding and reasonableness, and it bumps up student engagement. Fourthly, we discuss the assessment of reasonableness. In this type of learning environment, the way students perform in the philosophical community of inquiry is the focus of assessment. The desirable qualities of being reasonable become the assessment criteria for an on-balanced judgment about the student. (shrink)

Human emotional expressions can communicate the emotional state of the expresser, but they can also communicate appeals to perceivers. For example, sadness expressions such as crying request perceivers to aid and support, and anger expressions such as shouting urge perceivers to back off. Some contemporary artificial intelligence (AI) systems can mimic human emotional expressions in a (more or less) realistic way, and they are progressively being integrated into our daily lives. How should we respond to them? Do we (...) have reasons to reply to the appeals made by AI emotional expressions? In this paper, we examine the conditions under which AI emotional expressions could give us prudential or even moral reasons to change our behavior. We argue that these conditions do not depend on whether the emotional expression is genuine or not, but rather on the presence of features some of which can be implemented in emotive AI given our current level of technological development. We extract recommendations and warnings for the development of emotive AI. (shrink)

The 2-c debate between the Greek Apologists and the pagan Graeco-Roman tradition is multifaceted and complex. Common ground can be found in the mutual commitment to reason as a reflection of the Logos: Reason, or the rationality embedded in things. Logos, in this picture, is participated in through a performance of reasoning whose reliability is presupposed in the discourses of both debating parties—contextualized here as the presupposition that the deliverances and activity of reason are reliable for uncovering reality. Presuppositions (...) are starting points and driving principles of inquiry, here designated as first principles. One presuppositional conflict between 2-c Greek Apologists, taking the apologetic works of Justin, Theophilus, Athenagoras, and the author of the Epistle to Diognetus as a sample, and the pagan tradition, taking Celsus as its 2-c culmination, is over how to justify the commitment to reason’s reliability in the above sense. My claim in this paper is twofold: first, that the pagan position is unable in principle to demonstrate the reliability of its own reasoning and that all such inquiry is circular: it is always a further question for the pagan why reasoning reveals reality. I propose that what would count as an answer to this challenge is a metaphysical ‘fit’ between human embodiment and reality. And second, that the Apologists avoid this unhappy conclusion by committing themselves to the embodiment of Reason in Jesus—that the embodied act of human reasoning reveals reality because Reason itself is embodied in the same way. The upshot is that unless the pagan abandons his position, he is trapped in a circular epistemology and cannot encounter the Christian witness on its own terms. (shrink)

This paper begins with Thomas Nagel's (1970) investigation of the possibility of altruism to further examine how to motivate altruism. When the pursuit of the gratification of one's own desires generally has an immediate causal efficacy, how can one also be motivated to care for others and to act towards the well-being of others? A successful motivational theory of altruism must explain how altruism is possible under all these motivational interferences. The paper will begin with an exposition of Nagel's proposal, (...) and see where it is insufficient with regard to this further issue. It will then introduce the views of Zhang Zai and Wang Fuzhi, and see which one could offer a better motivational theory of altruism. All three philosophers offer different insights on the role of human reason/reflection and human sentiments in moral motivation. The paper will end with a proposal for a socioethical moral program that incorporates both moral reason and moral sentiments as motivation. (shrink)

The psychology of reasoning uses norms to categorize responses to reasoning tasks as correct or incorrect in order to interpret the responses and compare them across reasoning tasks. This raises the arbitration problem: any number of norms can be used to evaluate the responses to any reasoning task and there doesn’t seem to be a principled way to arbitrate among them. Elqayam and Evans have argued that this problem is insoluble, so they call for the psychology (...) of reasoning to dispense with norms entirely. Alternatively, Stupple and Ball have argued that norms must be used, but the arbitration problem should be solved by favouring norms that are sensitive to the context, constraints, and goals of human reasoning. In this paper, I argue that the design of reasoning tasks requires the selection of norms that are indifferent to the factors that influence human responses to the tasks—which aren’t knowable during the task design phase, before the task has been given to human subjects. Moreover, I argue that the arbitration problem is easily dissolved: any well-designed task will contain instructions that implicitly or explicitly specify a single determinate norm, which specifies what would count as a solution to the task—independently of the context, constraints, and goals of human reasoning. Finally, I argue that discouraging the use of these a priori task norms may impair the design of novel reasoning tasks. (shrink)

Over the years, companies have adopted hiring algorithms because they promise wider job candidate pools, lower recruitment costs and less human bias. Despite these promises, they also bring perils. Using them can inflict unintentional harms on individual human rights. These include the five human rights to work, equality and nondiscrimination, privacy, free expression and free association. Despite the human rights harms of hiring algorithms, the AI ethics literature has predominantly focused on abstract ethical principles. This is (...) problematic for two reasons. First, AI principles have been criticized for being vague and not actionable. Second, the use of vague ethical principles to discuss algorithmic risks does not provide any accountability. This lack of accountability creates an algorithmic accountability gap. Closing this gap is crucial because, without accountability, the use of hiring algorithms can lead to discrimination and unequal access to employment opportunities. This paper makes two contributions to the AI ethics literature. First, it frames the ethical risks of hiring algorithms using international human rights law as a universal standard for determining algorithmic accountability. Second, it evaluates four types of algorithmic impact assessments in terms of how effectively they address the five human rights of job applicants implicated in hiring algorithms. It determines which of the assessments can help companies audit their hiring algorithms and close the algorithmic accountability gap. (shrink)

Five reasons why teaching medical humanities in medical schools improves student performance, enhances wellbeing, and ameliorates patient outcomes.