This paper proposes and defends an account of what it is to act for reasons. In the first part, I will discuss the desire-belief and the deliberative model of acting for reasons. I will argue that we can avoid the weaknesses and retain the strengths of both views, if we pursue an alternative according to which acting for reasons involves taking something as a reason. In the main part, I will develop an account of what it is to take something (...) as a reason for action. On the basis of this, I will then offer a new account of what it is to act for reasons. (shrink)

The focus of AI ethics has recently shifted towards the question of whether and how the use of AI technologies can promote sustainability. This new research question involves discerning the sustainability of AI itself and evaluating AI as a tool to achieve sustainable objectives. This article aims to examine the justifications that one might employ to advocate for promoting sustainable AI. Specifically, it concentrates on a dimension of often disregarded reasons — reasons of “meaning” or “meaningfulness” — as discussed more (...) recently in the “meaning in life” literature of analytic ethics. To proceed, the article first elucidates the working definitions of “sustainable AI” and “meaning in life”, while also setting the criteria for evaluating the plausibility of these reasons. Subsequently, it presents and scrutinises three arguments for the claim that one has reasons to care about sustainable AI from a perspective of meaning: the Meaning-conferring-action Argument, the Afterlife Argument, and the Harm Argument. In conclusion, this article asserts that only the Harm Argument presents a viable line of reasoning. However, it also outlines the presuppositions of this argument and the additional steps necessary to make it compelling. (shrink)

This paper presents a series of studies (total N=579) which demonstrate that folk judgments concerning the reasonableness of decisions and actions depend strongly on whether they engender positive or negative consequences. A particular decision is deemed more reasonable in retrospect when it produces beneficial consequences than when it produces harmful consequences, even if the situation in which the decision was taken and the epistemic circumstances of the agent are held fixed across conditions. This finding is worrisome for the law, where (...) the reasonable person standard plays a prominent role. The legal concept of reasonableness is outcome-insensitive: whether the defendant acted in a reasonable fashion or not depends exclusively on her context of action, no matter how things play out. Folk judgments of reasonableness are thus inconsistent with the legal concept of reasonableness. Problematically, in common law jurisdictions, the decision whether a defendant’s behavior was reasonable or not is frequently (though not necessarily) delegated to a lay jury. (shrink)

INTRODUCTION I. CETERIS PARIBUS LAWS An alleged law of nature—like Newton's law of gravitation—is said to be a ceteris paribus law if it does not hold under ...

According to the standard view in philosophy, intentionality is the mark of genuine action. In psychology, human cognition and agency are now widely explained in terms of the workings of two distinct systems (or types of processes), and intentionality is not a central notion in this dual-system theory. Further, it is often claimed, in psychology, that most human actions are automatic, rather than consciously controlled. This raises pressing questions. Does the dual-system theory preserve the philosophical account of intentional action? How (...) much of our behavior is intentional according to this view? And what is the role of consciousness? I will propose here a revised account of intentional action within the dual-system framework, and we will see that most of our behavior can qualify as intentional, even if most of it is automatic. An important lesson will be that philosophical accounts of intentional action need to pay more attention to the role of consciousness in action. (shrink)

In this paper we discuss a phenomenon we call perspectival plurality, which has gone largely unnoticed in the current debate between relativism and contextualism about predicates of personal taste. According to perspectival plurality, the truth value of a sentence containing more than one PPT may depend on more than one perspective. Prima facie, the phenomenon engenders a problem for relativism and can be shaped into an argument in favor of contextualism. We explore the consequences of perspectival plurality in depth and (...) assess several possible responses on behalf of advocates of relativism. (shrink)

The notion of reduction continues to play a key role in philosophy of mind and philosophy of cognitive science. Supporters of reductionism claim that psychological properties or explanations reduce to neural properties or explanations, while antireductionists claim that such reductions are not possible. In this book, I apply recent developments in philosophy of science, particularly the mechanistic explanation paradigm and the interventionist theory of causation, to reassess the traditional approaches to reduction in philosophy of mind. I then elaborate and defend (...) a pluralistic framework for philosophy of mind, and show how reductionist ideas can be incorporated into it. This leads to a novel synthesis of pluralism and reductionism that I call pluralistic physicalism. (shrink)

Upregulation of implicit positive affect (PA) can act as a mechanism to deal with negative affect. Two studies tracked temporal changes in positive and negative affect (NA) assessed by self-report and the Implicit Positive and Negative Affect Test (IPANAT; Quirin, Kazén, & Kuhl, 2009). Study 1 observed the predicted increases in implicit PA after exposure to a threat-related film clip, which correlated positively with the speed of recognising a happy face among an angry crowd. Study 2 replicated increases in implicit (...) PA after exposition to the same film clip, and showed that such increases were enhanced by priming self-referential stimuli. The findings are discussed against the background of personality systems interaction (PSI) theory (Kuhl, 2000, 2001), which emphasises the role of the implicit self in affect regulation. (shrink)

Computer assisted theorem proving is an increasingly important part of mathematical methodology, as well as a long-standing topic in artificial intelligence (AI) research. However, the current generation of theorem proving software have limited functioning in terms of providing new proofs. Importantly, they are not able to discriminate interesting theorems and proofs from trivial ones. In order for computers to develop further in theorem proving, there would need to be a radical change in how the software functions. Recently, machine learning results (...) in solving mathematical tasks have shown early promise that deep artificial neural networks could learn symbolic mathematical processing. In this paper, I analyze the theoretical prospects of such neural networks in proving mathematical theorems. In particular, I focus on the question how such AI systems could be incorporated in practice to theorem proving and what consequences that could have. In the most optimistic scenario, this includes the possibility of autonomous automated theorem provers (AATP). Here I discuss whether such AI systems could, or should, become accepted as active agents in mathematical communities. (shrink)

This chapter discusses whether the appropriation of Kuhnian thoughts by the so-called Strong Programme in the sociology of scientific knowledge is appropriate. In order to answer the question of appropriate appropriation, Kuhn’s and the Strong Programme’s stances on two “isms” are compared: relativism and naturalism. It is shown that the Strong Programme clearly goes beyond Kuhn and breaks more radically with philosophical tradition. Nevertheless, there are also philosophical continuities and similarities.

I discuss the difference and the connections between Kant’s notions of cognition (Erkenntnis) and knowledge (Wissen). Unlike knowledge, cognition is a representational state which need not have the propositional structure of a judgments. Even cognitions that have such a structure need not coincide with knowledge, because they might rather have the doxastic status of opinion or faith, or they might be false (whereas knowledge is a certain recognition of truth). I argue that while Kant distinguishes between many different species of (...) cognition, he uses the term ‘knowledge’ univocally across his theoretical and practical philosophy. All knowledge is based upon some kind of cognition that provides the sufficient objective, certain ground for a knowing assent to a proposition. However, not all knowledge must be based upon the demanding type of cognition that is central to Kant’s overall argument in the first Critique, which requires a synthesis of concepts and sensible intuition. We have a lot of determinate knowledge, including knowledge that we possess transcendental freedom of will, that is based upon purely conceptual practical cognition. We can also have some indeterminate philosophical knowledge (e.g. knowledge that there are non-sensible, noumenal beings) that is based upon purely conceptual theoretical cognition. (shrink)

Previous research in Explainable Artificial Intelligence (XAI) suggests that a main aim of explainability approaches is to satisfy specific interests, goals, expectations, needs, and demands regarding artificial systems (we call these “stakeholders' desiderata”) in a variety of contexts. However, the literature on XAI is vast, spreads out across multiple largely disconnected disciplines, and it often remains unclear how explainability approaches are supposed to achieve the goal of satisfying stakeholders' desiderata. This paper discusses the main classes of stakeholders calling for explainability (...) of artificial systems and reviews their desiderata. We provide a model that explicitly spells out the main concepts and relations necessary to consider and investigate when evaluating, adjusting, choosing, and developing explainability approaches that aim to satisfy stakeholders' desiderata. This model can serve researchers from the variety of different disciplines involved in XAI as a common ground. It emphasizes where there is interdisciplinary potential in the evaluation and the development of explainability approaches. (shrink)

I argue that Kant acknowledges two models of spontaneous self-determination that rational beings are capable of. The first model involves absolute unconditional necessity and excludes any form of contingency. The second model involves (albeit not as a matter of definition) a form of contingency which entails alternative possibilities for determining oneself. The first model would be exhibited by a divine being; the second model is exhibited by human beings. Human beings do, however, partake in the divine model up to an (...) extent, namely, as far as the legislative spontaneity of their law-giving faculties are concerned. I conclude by suggesting that for Kant, the mechanistic principle that we are exclusively determined by natural causes poses a twofold threat for human agency. In one respect (in relation to the second model), it threatens us with the obliteration of contingency, or with the universality of hypothetical necessity. But in another respect (in relation to the first model), it threatens us (and our putative "laws") with the obliteration of absolute necessity, or with the universality of contingency. (shrink)

I identify two reasons for believing in the objectivity of mathematical knowledge: apparent objectivity and applications in science. Focusing on arithmetic, I analyze platonism and cognitive nativism in terms of explaining these two reasons. After establishing that both theories run into difficulties, I present an alternative epistemological account that combines the theoretical frameworks of enculturation and cumulative cultural evolution. I show that this account can explain why arithmetical knowledge appears to be objective and has scientific applications. Finally, I will argue (...) that, while this account is compatible with platonist metaphysics, it does not require postulating mind-independent mathematical objects. (shrink)

The basic human ability to treat quantitative information can be divided into two parts. With proto-arithmetical ability, based on the core cognitive abilities for subitizing and estimation, numerosities can be treated in a limited and/or approximate manner. With arithmetical ability, numerosities are processed (counted, operated on) systematically in a discrete, linear, and unbounded manner. In this paper, I study the theory of enculturation as presented by Menary (2015) as a possible explanation of how we make the move from the proto-arithmetical (...) ability to arithmetic proper. I argue that enculturation based on neural reuse provides a theoretically sound and fruitful framework for explaining this development. However, I show that a comprehensive explanation must be based on valid theoretical distinctions and involve several stages in the development of arithmetical knowledge. I provide an account that meets these challenges and thus leads to a better understanding of the subject of enculturation. (shrink)

Beck presents an outline of the procedure of bootstrapping of integer concepts, with the purpose of explicating the account of Carey. According to that theory, integer concepts are acquired through a process of inductive and analogous reasoning based on the object tracking system, which allows individuating objects in a parallel fashion. Discussing the bootstrapping theory, Beck dismisses what he calls the "deviant-interpretation challenge"—the possibility that the bootstrapped integer sequence does not follow a linear progression after some point—as being general to (...) any account of inductive learning. While the account of Carey and Beck focuses on the OTS, in this paper I want to reconsider the importance of another empirically well-established cognitive core system for treating numerosities, namely the approximate number system. Since the ANS-based account offers a potential alternative for integer concept acquisition, I show that it provides a good reason to revisit the deviant-interpretation challenge. Finally, I will present a hybrid OTS-ANS model as the foundation of integer concept acquisition and the framework of enculturation as a solution to the challenge. (shrink)

„An die Stelle des Klischees, Kierkegaard sei Kind seiner Zeit, könnte man deshalb mit Recht die weniger klischeehafte Aussage setzen, dass Kierkegaard durch seine Werke geboren worden ist, geschrieben durch seine Schriften. Aus demselben Grund lassen sich im Fall Kierkegaards Biographie und Bildung nicht trennen. Dass man sie auch nicht aufeinander reduzieren kann, dürfte entsprechend klar sein. Tut man das nämlich, raubt man dem göttlichen Erzähler die Möglichkeit, in dem Leben des Einzelnen zu Wort zu kommen – sowohl im Leben (...) Kierkegaards als auch im Leben eines jeden anderen Menschen.“ Joakim Garff Das Buch beginnt mit dem Themenkomplex Bildung, Biographie und Europa (Joakim Garff und Hartmut Rosenau). Kierkegaards Auseinandersetzungen mit dem Christentum (Jon Stewart fingiert einen möglichen Dialog darüber mit Hegel) und dessen institutionalisierten Formen, von Kierkegaard heftig kritisiert, z.B. in „Einübung im Christentum“ (dargestellt von Markus Pohlmeyer), mündeten in einen Kirchenkampf, der es Theologen und Theologinnen aller Konfessionen schwer macht€, Kierkegaard doch noch als einen der ihren zu akzeptieren, wie Eberhard Harbsmeier darlegt. Das Problem, Kierkegaard zu übersetzen, untersuchen Eberhard Schreiber, Tim Hagemann und Caren Wicka vor allem am Beispiel von Schrempfs geliebt-gehassten Übersetzungen. Klaus Müller und Marcello Neri zeigen, welch wichtige Impulse Kierkegaard dem italienischen Hermeneutiker Luigi Pareyson und dem deutschen Theologen Eugen Drewermann gab. (shrink)

In this paper, I argue that many arguments from expert opinion are strong arguments. Therefore, in many cases it is rational to rely on experts since in many cases the fact that an expert says that p makes it highly likely that p is true. I will defend this claim by providing 5 arguments that illuminate and elaborate on 5 crucial claims about expertise. In this way, I aim to undermine recent attempts to establish a rampant scepticism about arguments from (...) expert opinion. (shrink)

Many consider the nature of human consciousness to be one of the last great unsolved mysteries. Why should the light turn on, so to speak, in human beings at all? And how is the electrical storm of neurons under our skull connected with our consciousness? Is the self only our brain's user interface, a kind of stage on which a show is performed that we cannot freely direct? In this book, philosopher Markus Gabriel challenges an increasing trend in the (...) sciences towards neurocentrism, a notion which rests on the assumption that the self is identical to the brain. Gabriel raises serious doubts as to whether we can know ourselves in this way. In a sharp critique of this approach, he presents a new defense of the free will and provides a timely introduction to philosophical thought about the self – all with verve, humor, and surprising insights. Gabriel criticizes the scientific image of the world and takes us on an eclectic journey of self-reflection by way of such concepts as self, consciousness, and freedom, with the aid of Kant, Schopenhauer, and Nagel but also Dr. Who, The Walking Dead, and Fargo. (shrink)

Recent years have seen an explosion of empirical data concerning arithmetical cognition. In this paper that data is taken to be philosophically important and an outline for an empirically feasible epistemological theory of arithmetic is presented. The epistemological theory is based on the empirically well-supported hypothesis that our arithmetical ability is built on a protoarithmetical ability to categorize observations in terms of quantities that we have already as infants and share with many nonhuman animals. It is argued here that arithmetical (...) knowledge developed in such a way cannot be totally conceptual in the sense relevant to the philosophy of arithmetic, but neither can arithmetic understood to be empirical. Rather, we need to develop a contextual a priori notion of arithmetical knowledge that preserves the special mathematical characteristics without ignoring the roots of arithmetical cognition. Such a contextual a priori theory is shown not to require any ontologically problematic assumptions, in addition to fitting well within a standard framework of general epistemology. (shrink)

Linnebo in 2018 argues that abstract objects like numbers are “thin” because they are only required to be referents of singular terms in abstraction principles, such as Hume's principle. As the specification of existence claims made by analytic truths (the abstraction principles), their existence does not make any substantial demands of the world; however, as Linnebo notes, there is a potential counter-argument concerning infinite regress against introducing objects this way. Against this, he argues that vicious regress is avoided in the (...) account of arithmetic based on Hume's principle because we are specifying numbers in terms of the concept of equinumerosity, or its ordinal equivalent. But far from being only a matter for philosophy, this implies a distinct empirical prediction: in cognitive development, the principle of equinumerosity is primary to number concepts. However, by analysing and expanding on the bootstrapping theory of Carey in 2009, I argue in this paper that there are good reasons to think that the development could be the other way around: possessing numerosity concepts may precede grasping the principle of equinumerosity. I propose that this analysis of early numerical cognition can also help us understand what numbers as thin objects are like, moving away from Platonist interpretations. (shrink)

In der 1970 gegr ndeten Reihe erscheinen Arbeiten, die philosophiehistorische Studien mit einem systematischen Ansatz oder systematische Studien mit philosophiehistorischen Rekonstruktionen verbinden. Neben deutschsprachigen werden auch englischsprachige Monographien ver ffentlicht. Gr ndungsherausgeber sind: Erhard Scheibe (Herausgeber bis 1991), G nther Patzig (bis 1999) und Wolfgang Wieland (bis 2003). Von 1990 bis 2007 wurde die Reihe von J rgen Mittelstra mitherausgegeben.

In this paper, I study the kind of questions we can ask about the existence of numbers. In addition to asking whether numbers exist, and how, I argue that there is also a third relevant question: why numbers exist. In platonist and nominalist accounts this question may not make sense, but in the psychologist account I develop, it is as well-placed as the other two questions. In fact, there are two such why-questions: the causal why-question asks what causes numbers to (...) exist and the teleological why-question asks for what purpose numbers exist. I argue that in a psychologist constructivist account, in which numbers are understood to exist as referents of a particular type of culturally shared concepts, both why-questions can get plausible answers. (shrink)

Einer Welt ohne letzte Gründe bleibt, so scheint es, nur die Alternative zwischen Fundamentalismus und pragmatischer Indifferenz. Beides wird weder der Komplexität noch der ungebrochenen Notwendigkeit der Begründungssuche gerecht. Die Autoren denken Begründung konsequent als ein stets prekäres Unternehmen: Den Ungründen in Philosophie und Kunst nachzugehen meint nicht eine bloße Ablehnung von Gründen oder einen existenziell aufgeladenen Nihilismus. Im Unheimlichen, Unbegrifflichen oder Unbestimmten schwingt der Versuch (wie das Scheitern) der Entbergung, Konzeptionalisierung und Bestimmung immer mit. Genauso zeichnen sich Ungründe dadurch (...) aus, dass das Negierte als Negiertes stets mitgeführt wird und wirksam bleibt. Ungründe sind immer noch Gründe - aber es sind prekäre, prozessuale, endliche Gründe, die den Anspruch, einen "guten Grund" zu liefern, auf je spezifische Weise einlösen. (shrink)

This article introduces an “ordonomic” approach to corporate citizenship. We believe that ordonomics offers a conceptual framework for analyzing both the social structure and the semantics of moral commitments. We claim that such an analysis can provide theoretical guidance for the changing role of business in society, especially in regard to the expectation and trend that businesses take a political role and act as corporate citizens. The systematicraison d'êtreof corporate citizenship is that business firms can and—judged by the criterion of (...) prudent self-interest—“should” take on an active role in rule-finding discourses and rule-setting processes with the intent of realizing a win-win outcome of the economic game. We identify—and illustrate—four ways that corporate citizens can employ moral commitments as a factor of production to enhance their processes of economic value creation. (shrink)

In this highly original book, Markus Gabriel presents 'Neo-Existentialism', an anti-naturalist view that holds that human mindedness consists in an open-ended proliferation of mentalistic vocabularies. Challenged by Charles Taylor, Andrea Kern and Jocelyn Benoist, Gabriel deftly refutes naturalism's metaphysical claim to epistemic exclusiveness.

In this paper I study the development of arithmetical cognition with the focus on metaphorical thinking. In an approach developing on Lakoff and Núñez, I propose one particular conceptual metaphor, the Process → Object Metaphor, as a key element in understanding the development of mathematical thinking.

The argument from inductive risk is considered to be one of the strongest challenges for value-free science. A great part of its appeal lies in the idea that even an ideal epistemic agent—the “perfect scientist” or “scientist qua scientist”—cannot escape inductive risk. In this paper, I scrutinize this ambition by stipulating an idealized Bayesian decision setting. I argue that inductive risk does not show that the “perfect scientist” must, descriptively speaking, make non-epistemic value-judgements, at least not in a way that (...) undermines the value-free ideal. However, the argument is more successful in showing that there are cases where the “perfect scientist” should, normatively speaking, use non-epistemic values. I also show that this is possible without creating problems of illegitimate prescription and wishful thinking. Thus, while inductive risk does not refute value-freedom completely, it still represents a powerful critique of value-free science. (shrink)

The rising star of German philosophy provides a compelling defence of the autonomous power of art.

Schelling entwirft in seiner Spätphilosophie einen neuen Philosophietypus, der in Konkurrenz zu Hegels Metaphysik tritt. Dabei greift er Hegel nicht nur auf dem Gebiet fundamentaler theoretischen Annahmen an, sondern sucht ihn insbesondere durch einen neuen Begriff von Religion zu überbieten. Die Arbeit untersucht dies im Ausgang von Schellings "Philosophie der Mythologie".

Why would we want to develop artificial human-like arithmetical intelligence, when computers already outperform humans in arithmetical calculations? Aside from arithmetic consisting of much more than mere calculations, one suggested reason is that AI research can help us explain the development of human arithmetical cognition. Here I argue that this question needs to be studied already in the context of basic, non-symbolic, numerical cognition. Analyzing recent machine learning research on artificial neural networks, I show how AI studies could potentially shed (...) light on the development of human numerical abilities, from the proto-arithmetical abilities of subitizing and estimating to counting procedures. Although the current results are far from conclusive and much more work is needed, I argue that AI research should be included in the interdisciplinary toolbox when we try to explain the development and character of numerical cognition and arithmetical intelligence. This makes it relevant also for the epistemology of mathematics. (shrink)

In this paper I develop a philosophical account of actual mathematical infinity that does not demand ontologically or epistemologically problematic assumptions. The account is based on a simple metaphor in which we think of indefinitely continuing processes as defining objects. It is shown that such a metaphor is valid in terms of mathematical practice, as well as in line with empirical data on arithmetical cognition.

This volume provides an overview of the most recent developments in empirical investigations of morality and assesses their impact and importance for ethical thinking. It involves contributions of scholars both from philosophy, theology and empirical sciences with firm standings in their own disciplines, but an inclination to step across borders-in particular the one between the world of facts and the world of norms. Human morality is complex, and probably even messy-and this clean distinction becomes blurred whenever one looks more closely (...) at the various components that enable and influence our moral actions and ethical orientations. In that way, morality may indeed be located between facts and norms-and an empirically informed ethics that is less concerned with analytical purity but immerses into this moral complexity may be an important step to make the contributions of ethics to this world more valuable and relevant. (shrink)

Following Marr’s famous three-level distinction between explanations in cognitive science, it is often accepted that focus on modeling cognitive tasks should be on the computational level rather than the algorithmic level. When it comes to mathematical problem solving, this approach suggests that the complexity of the task of solving a problem can be characterized by the computational complexity of that problem. In this paper, I argue that human cognizers use heuristic and didactic tools and thus engage in cognitive processes that (...) make their problem solving algorithms computationally suboptimal, in contrast with the optimal algorithms studied in the computational approach. Therefore, in order to accurately model the human cognitive tasks involved in mathematical problem solving, we need to expand our methodology to also include aspects relevant to the algorithmic level. This allows us to study algorithms that are cognitively optimal for human problem solvers. Since problem solving methods are not universal, I propose that they should be studied in the framework of enculturation, which can explain the expected cultural variance in the humanly optimal algorithms. While mathematical problem solving is used as the case study, the considerations in this paper concern modeling of cognitive tasks in general. (shrink)

The paper explores the defence by the early sociologist of science Ludwik Fleck against the charge of relativism. It is shown that there are crucial and hitherto unnoticed similarities between Fleck’s strategy and the attempt by his contemporary Karl Mannheim to distinguish between an incoherent relativism and a consistent relationism. Both authors seek to revise epistemology fundamentally by reinterpreting the concept of objectivity in two ways: as inner- and inter-style objectivity. The argument for the latter concept shows the genuine political (...) background and intent of Fleck’s sociology of science and its ambition to relieve the cultural struggles of his time. (shrink)

In computational complexity theory, decision problems are divided into complexity classes based on the amount of computational resources it takes for algorithms to solve them. In theoretical computer science, it is commonly accepted that only functions for solving problems in the complexity class P, solvable by a deterministic Turing machine in polynomial time, are considered to be tractable. In cognitive science and philosophy, this tractability result has been used to argue that only functions in P can feasibly work as computational (...) models of human cognitive capacities. One interesting area of computational complexity theory is descriptive complexity, which connects the expressive strength of systems of logic with the computational complexity classes. In descriptive complexity theory, it is established that only first-order systems are connected to P, or one of its subclasses. Consequently, second-order systems of logic are considered to be computationally intractable, and may therefore seem to be unfit to model human cognitive capacities. This would be problematic when we think of the role of logic as the foundations of mathematics. In order to express many important mathematical concepts and systematically prove theorems involving them, we need to have a system of logic stronger than classical first-order logic. But if such a system is considered to be intractable, it means that the logical foundation of mathematics can be prohibitively complex for human cognition. In this paper I will argue, however, that this problem is the result of an unjustified direct use of computational complexity classes in cognitive modelling. Placing my account in the recent literature on the topic, I argue that the problem can be solved by considering computational complexity for humanly relevant problem solving algorithms and input sizes. (shrink)