The search for a quantum theory of the gravitational field is one of the great open problems in theoretical physics. This book presents a self-contained discussion of the concepts, methods and applications that can be expected in such a theory. The two main approaches to its construction - the direct quantisation of Einstein's general theory of relativity and string theory - are covered. Whereas the first attempts to construct a viable theory for the gravitational field alone, string theory assumes that (...) a quantum theory of gravity will be achieved only through a unification of all the interactions. However, both employ the general method of quantisation of constrained systems, which is described together with illustrative examples relevant for quantum gravity. There is a detailed presentation of the main approaches employed in quantum general relativity: path-integral quantisation, the background-field method and canonical quantum gravity in the metric, connection and loop formulations. The discussion of string theory centres around its quantum-gravitational aspects and the comparison with quantum general relativity. Physical applications discussed at length include the quantisation of black holes, quantum cosmology, the indications of a discrete structure of spacetime, and the origin of irreversibility. This book will be of interest to researchers and students working in relativity and gravitation, cosmology, quantum field theory and related topics. It will also be of interest to mathematicians and philosophers of science. (shrink)

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)

Auf den ersten Blick könnten die Welten, die in diesem Buch aufeinandertreffen, kaum gegensätzlicher sein. Anselm Kiefer, einer der bedeutendsten und international erfolgreichsten Künstler der Gegenwart, beschäftigt sich in seinem Werk mit den wesentlichen Fragen der Gesellschaft. Seine Bilder sind geheimnisvolle Chiffren zur Entschlüsselung der Welt und ihrer immer neuen Rätsel, sie offenbaren Überlagerungen, Durchdringungen, Verschmelzungen. Peter Handke nannte ihn »einen stillen Wilden..., auf dem Sprung, eine Art neuen Alphabets der Malerei zu entwerfen«. Ihm gegenüber Mathias Döpfner, Vorstandsvorsitzender der (...) Axel Springer AG, ursprünglich jedoch Germanist, Musikwissenschaftler, Journalist. Aus dem Kontrast entsteht ein fesselnder, erhellender Dialog über Kunst und Politik, Natur und Mythos, Kultur und Geschichte, Theologie und Ökonomie, Philosophie und Literatur. (shrink)

Nicht zufällig beginnt das theologische Nachdenken über Gut und Böse bis heute immer wieder mit den ersten Kapiteln der Genesis. Sie sind bewusst als Anfang der Tora konzipiert und wollen selbst vom Anfang erzählen - vom Anfang der Menschheit und darin auch vom Anfang des Guten und Bösen. Texte, die so im Fokus stehen, werden bekanntlich oft theologisch überfrachtet mit Interessen und Vorurteilen. Diese Untersuchung möchte die biblischen Texte von dogmatischem Ballast befreien und deren ureigenen Beitrag zu der immer noch (...) brisanten Frage nach Gut und Böse zur Sprache bringen. (shrink)

This chapter focuses on what’s novel in the perspective that the prediction error minimization (PEM) framework affords on the cognitive-scientific project of explaining intelligence by appeal to internal representations. It shows how truth-conditional and resemblance-based approaches to representation in generative models may be integrated. The PEM framework in cognitive science is an approach to cognition and perception centered on a simple idea: organisms represent the world by constantly predicting their own internal states. PEM theories often stress the hierarchical structure of (...) the generative models they posit. The novel explanatory power of the PEM account derives largely from the way in which pairs of generative and recognition models interact. “Predictive coding” refers to an encoding strategy in which predicted portions of an input signal are subtracted from the actual signal received, so that only the difference between the two is passed as output to the next stage of information processing. (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)

The commentators of our target article present several detailed arguments to refute the opposing theory. The real issue, however, seems to be the fundamental question of how the mind represents the content of beliefs. We distinguish between qualitative, quantitative and comparative approaches to modeling uncertain beliefs. We describe which theory falls into which of these classes. We also argue that the comparative level is the most fundamental, and challenge commentators to justify why they think that beliefs have more or less (...) structure in the human mind than can be captured at the comparative level. (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 examines the similarities in the views of Soren Kierkegaard and Friedrich Nietzsche about faith in the providence. It explains that, for both Kierkegaard and Nietzsche, the issue of providence is occasioned not primarily by the study of nature or of history but of their own lives, and that both of them can help show that neither faith in providence, nor the abandonment of such faith, can be taken too lightly. The chapter also analyses the ideas of Kierkegaard in (...) his The Point of View for my Work as an Author and Nietzsche in his Ecce Homo. (shrink)

For most of its history, the psychology of reasoning was dominated by binary extensional logic. The so-called “new paradigm” instead puts subjective degrees of belief center stage, often represented as probabilities. We argue that the “new paradigm” is too vaguely defined and therefore does not allow a clear decision about what falls within its scope and what does not. We also show that there was not one settled theoretical “old” paradigm, before the new developments emerged, and that the alleged new (...) paradigm is less revolutionary as the term suggests. A more veridical view is that current progress is developing in continuities where rival research programs can thrive or fail in the face of new experimental findings. The article closes with some topics where more connections between competing research programs are likely to promote progress in our understanding of human reasoning. (shrink)

In this paper, we consider how certain longstanding philosophical questions about mental representation may be answered on the assumption that cognitive and perceptual systems implement hierarchical generative models, such as those discussed within the prediction error minimization framework. We build on existing treatments of representation via structural resemblance, such as those in Gładziejewski :559–582, 2016) and Gładziejewski and Miłkowski, to argue for a representationalist interpretation of the PEM framework. We further motivate the proposed approach to content by arguing that it (...) is consistent with approaches implicit in theories of unsupervised learning in neural networks. In the course of this discussion, we argue that the structural representation proposal, properly understood, has more in common with functional-role than with causal/informational or teleosemantic theories. In the remainder of the paper, we describe the PEM framework for approximate Bayesian inference in some detail, and discuss how structural representations might arise within the proposed Bayesian hierarchies. After explicating the notion of variational inference, we define a subjectively accessible measure of misrepresentation for hierarchical Bayesian networks by appeal to the Kullbach–Leibler divergence between posterior generative and approximate recognition densities, and discuss a related measure of objective misrepresentation in terms of correspondence with the facts. (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)