In two experiments (total N=693) we explored whether people are willing to consider paintings made by AI-driven robots as art, and robots as artists. Across the two experiments, we manipulated three factors: (i) agent type (AI-driven robot v. human agent), (ii) behavior type (intentional creation of a painting v. accidental creation), and (iii) object type (abstract v. representational painting). We found that people judge robot paintings and human painting as art to roughly the same extent. However, people are much less (...) willing to consider robots as artists than humans, which is partially explained by the fact that they are less disposed to attribute artistic intentions to robots. (shrink)

The causal theory of action has been the standard view in the philosophy of action and mind. In this chapter, I will present responses to two challenges to the theory. The first says, basically, that there is no positive argument in favour of the causal theory, as the only reason that supports it consists in the apparent lack of tenable alternatives. The second challenge says that the theory fails to capture the phenomenon of agency, as it reduces activity to mere (...) happenings (events and event-causal processes). This is often referred to as the problem of "disappearing agency". My main aim is to show that there is no problem of disappearing agency, and we will see that my response to the first challenge will be conducive to this end. I will present a positive argument for the causal theory on the basis of considerations concerning the metaphysics of agency, and I will suggest that we "own" the agency that springs from our mental states and events "by default". (shrink)

Discussions of psychological measurement are largely disconnected from issues of measurement in the natural sciences. We show that there are interesting parallels and connections between the two, by focusing on a real and detailed example (temperature) from the history of science. More specifically, our novel approach is to study the issue of validity based on the history of measurement in physics, which will lead to three concrete points that are relevant for the validity debate in psychology. First of all, studying (...) the causal mechanisms underlying the measurements can be crucial for evaluating whether the measurements are valid. Secondly, psychologists would benefit from focusing more on the robustness of measurements. Finally, we argue that it is possible to make good science based on (relatively) bad measurements, and that the explanatory success of science can contribute to justifying the validity of measurements. (shrink)

Resenha do livro "Morte", de Giovanni Casertano.

The articles in this special issue of the yearbook Logical Analysis and History of Philosophy all concern, in one way or another, Hume’s epistemology and metaphysics. There are discussions of our knowledge of causal powers, the extent to which conceivability is a guide to modality, and testimony; there are also discussions of our ideas of space and time, the role in Hume’s thought of the psychological mechanism of ‘completing the union’, the role of impressions, and Hume’s argument against the claim (...) that our perceptions are ‘locally conjoined’ with any entity (namely, a soul). (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)

Ausgehend von historischen und sozialtheoretischen Befunden rekonstruieren wir zunächst in skizzenhafter Form, wie es zu einer Konstruktion von Behinderungen als Verkörperungen einer Mangelhaftigkeit anthropologischen Ausmaßes gekommen ist. In Anschluss hieran vertreten wir die These, dass Behinderung eine kulturelle Norm darstellt, die der Kultur selbst Grenzen setzt. Nicht der Mensch stellt das „eigentliche“ Mängelwesen dar, sondern die gesellschaftliche Kultur vorenthaltener oder eingeschränkter Teilhabe sowie die pädagogische Kultur mangelhafter Bildungsmaßnahmen. In ethischer Hinsicht begründen wir diese These von der Verantwortung gegenüber dem Anderen (...) her, dessen Andersheit wir als irreduzibel bzw. radikal fassen. Wir schließen mit einer kurzen Reflexion über die Frage, wie sich dieser veränderte Zugang zu Menschen mit Behinderungen bildungstheoretisch fassen lässt. (shrink)

At the centre of modern epistemology lurks the problem of scepticism: how can we know that the forms of our cognition are compatible with the world? How can we state success conditions for knowledge claims without somehow transcending our discursive and fallible nature as knowers? By distinguishing different forms of scepticism, Markus Gabriel shows how all objective knowledge relies on shared discourses and how the essential corrigibility of knowledge claims is a crucial condition of their objectivity. We should understand (...) scepticism not so much as posing a threat, but as offering a vital lesson about the fallibility of discursive thinking. By heeding this lesson, we can begin to reintegrate the solipsistic subject of modern epistemology back into the community of actual knowers. Taking his cue from Hegel, Wittgenstein and Brandom, Gabriel shows how intentionality as such is a public rather than a private phenomenon. He concedes that the sceptic can prove the necessary finitude of objective knowledge, but denies that this has to lead us into an aporia. Instead, it shows us the limits of the modern project of epistemology. Through an examination of different kinds of sceptical paradoxes, Gabriel not only demonstrates their indispensable role within epistemological theorising, but also argues for the necessary failure of all totalizing knowledge claims. In this way, epistemology, as the discipline that claims knowledge about knowledge, begins to grasp its own fallibility and, as a result, the true nature of its objectivity. The Limits of Epistemology will be of great value to students and scholars of philosophy. (shrink)

This essay attempts to demonstrate that it is doubtful if Galileo's famous thought experiment concerning falling bodies in his 'Dialogues Concerning Two New Sciences' (Galileo 1954: 61-64) actually does succeed in proving that Aristotle was wrong in claiming that "bodies of different weight […] move […] with different speeds which stand to one another in the same ratio as their weights," (Galileo 1954: 61). (Part I); and further that it is likewise doubtful that that argument does or even can establish (...) Galileo's own famous 'Law of Falling Bodies,' viz., that regardless of their weight all bodies fall with the same speed. (Part II). (shrink)

Various 'nonmarket' economic valuation methods have been used to compute 'total' value of nonmarketed natural resources and related recreation. We first outline the history of these valuation techniques and use the Exxon Valdez disaster response and the valuation of whooping cranes, an endangered species, as examples of how these tools can constrain policy. We then explain how, by excluding non-economic social spheres, economic valuation techniques produce a terministic screen that deforms policy makers' vision of the ecological problems faced by society. (...) Using Luhmann's functionalist social theory, we demonstrate that when natural resource managers privilege economic motives, they trivialize other social functions such as education, politics, religion and law. This process presents a significant ethical dilemma for democracies by first naturalizing, then ethicizing, existing patterns of domination. (shrink)

The book addresses the constitution of the high culture of modernity as an uneasy unity of the sciences, including philosophy, and the arts. Their internal dynamism and strain is established through, on the one hand, the relationship of the author - work - recipient, and, on the other, the respective roles of experts and the market.

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.

The Turing test has a peculiar status in the artificial intelligence (AI) research community. On the one hand, it is presented as an important topic in virtually every AI textbook, and the research direction focused on developing AI systems that behave in human-like fashion is standardly called the “Turing test approach”. On the other hand, reports of computer programs passing the Turing test have had relatively little effect. Does this mean that the Turing test is no longer relevant as a (...) test, doomed to be a theoretical notion with little connection to AI practice? In this paper, I argue that there is one problem in particular with common traditional versions of the Turing test, namely their focus on deception. The criterion for passing the Turing test is standardly connected to an AI system’s ability to deceive the interrogator about its identity. But why should we connect intelligence to the ability deceive? Here I present a revised version of an intelligence test that is not based on deception. In what I call the Community-based intelligence test (CBIT), an AI is introduced to a community of human subjects. If after a sufficient number of interactions within that community the humans are not able to identify the AI system as a computer, it is considered to have passed CBIT. I discuss whether that should be enough to ascribe intelligence to the AI, and if not, what more would be needed? (shrink)

This article aims to classify those reducts of expansions of (Q, <) by unary predicates which eliminate quantifiers, and in particular to show that, up to interdefinability, there are only finitely many for a given language. Equivalently, we wish to classify the closed subgroups of Sym(Q) containing the group of all automorphisms of (Q, <) fixing setwise certain subsets. This goal is achieved for expansions by convex predicates, yielding expansions by constants as a special case, and for the expansion by (...) a dense, co-dense predicate. Partial results are obtained in the general setting of several dense predicates. (shrink)

This paper addresses various solutions to Meno's Problem: Why is it that knowledge is more valuable than merely true belief? Given both a pragmatist as well as a veritist understanding of epistemic value, it is argued that a reliabilist analysis of knowledge, in general, promises a hopeful strategy to explain the extra value of knowledge. It is, however, shown that two recent attempts to solve Meno's Problem within reliabilism are severely flawed: Olsson's conditional probability solution and Goldman's value autonomization solution. (...) The paper proceeds with a discussion of the purpose of having a higher value of knowledge as opposed to merely true belief, both in evolutionary and social terms. It claims that under a reliabilist analysis of knowledge it can be explained how knowers could evolve rather than just truthful believers. Subsequently, the paper develops an account of how we can manipulate our testimonial environment in an epistemically beneficial way by valuing reliably produced true belief more that just true belief and so gives an indirect justification of the extra value of knowledge. (shrink)

There is a growing consensus among philosophers of science that scientific endeavors of understanding the human mind or the brain exhibit explanatory pluralism. Relatedly, several philosophers have in recent years defended an interventionist approach to causation that leads to a kind of causal pluralism. In this paper, I explore the consequences of these recent developments in philosophy of science for some of the central debates in philosophy of mind. First, I argue that if we adopt explanatory pluralism and the interventionist (...) approach to causation, our understanding of physicalism has to change, and this leads to what I call pluralistic physicalism. Secondly, I show that this pluralistic physicalism is not endangered by the causal exclusion argument. (shrink)

Introduction, by R. A. Markus.--St. Augustine and Christian Platonism, by A. H. Armstrong.--Action and contemplation, by F. R. J. O'Connell.--St. Augustine on signs, by R. A. Markus.--The theory of signs in St. Augustine's De doctrina Christiana, by B. D. Jackson.--Si fallor, sum, by G. B. Matthews.--Augustine on speaking from memory, by G. B. Matthews.--The inner man, by G. B. Matthews.--On Augustine's concept of a person, by A. C. Lloyd.--Augustine on foreknowledge and free will, by W. L. Rowe.--Augustine on (...) free will and predestination, by J. M. Rist.--Time and contingency in St. Augustine, by R. Jordan.--Empiricism and Augustine's problems about time, by H. M. Lacey.--Political society, by P. R. L. Brown.--The development of Augustine's ideas on society before the Donatist controversy, by F. E. Cranz.--De Civitate Dei, XV, 2, and Augustine's idea of the Christian society, by F. E. Cranz.--Chronological table.--Note on further reading (p. [422]-423). (shrink)

Technological outsourcing is increasingly prevalent, with AI systems taking over many tasks once performed by humans. This shift has led to various discussions within AI ethics. A question that was largely ignored until recently, but is now increasingly being discussed, concerns the meaningfulness of such a lifestyle. The literature largely features skeptical views, raising several challenges. Many of these challenges can be grouped under what I identify as the “meaningfulness gap”. Although this gap is widely acknowledged, there is a notable (...) absence of systematic exploration in the literature. This paper aims to fill this void by offering a detailed, step-by-step guide for systematically exploring the different instances of the meaningfulness gap and aids in navigating their complexities. More specifically, it proposes differentiating the gaps according to their realms and objects, normative nature, scope, and severity. To make these areas manageable, the paper takes several taxonomies and distinctions on board. Finally, the guide is summarized, and some skeptical replies are anticipated and countered by clarificatory remarks. (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)

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)

It is standardly assumed that, in Kant, “free agency” is identical to moral agency and requires the will or practical reason. Likewise, it is often held that the concept of “spontaneity” that Kant uses in his theoretical philosophy is very different from, and much thinner than, his idea of practical spontaneity. In this paper I argue for the contrary view: Kant has a rich theory of doxastic free agency, and the spontaneity in empirical thought (which culminates in judgments of experience) (...) is essentially the same sort of spontaneity found in the practical use of reason. Accordingly, the faculties of understanding and practical reason both possess genuine autonomy. (shrink)

Is the assessment of a view of life only a matter of personal preference? I argue that there is more than personal preference. I defend the position that a view of life must be useful for the ascription of meaning and therefore needs to fulfil the requirements of the process of ascribing meaning. In this article I analyse this process and its requirements and deduce from them a set of criteria by which views of life can be assessed.

In their article “What are Humans Doing in the Loop? Co-Reasoning and Practical Judgment When Using Machine Learning-Driven Decision Aids,” Salloch and Eriksen (2024) propose involving patients as...

Are our beliefs justified only relatively to a specific culture or society? Is it possible to give reasons for the superiority of our scientific, epistemic methods? Markus Seidel sets out to answer these questions in his critique of epistemic relativism. Focusing on the work of the most prominent, explicitly relativist position in the sociology of scientific knowledge – so-called 'Edinburgh relativism' or the 'Strong Programme' –, he scrutinizes the key arguments for epistemic relativism from a philosophical perspective: underdetermination and (...) norm-circularity. His main negative result is that these arguments fall short of establishing epistemic relativism. -/- Despite arguing for epistemic absolutism, Seidel aims to provide an account of non-relative justification that nevertheless integrates the basic, correct intuition of the epistemic relativist. His main positive result is that the epistemic absolutist can very well accept the idea that people using different standards of justification can be equally justified in holding their beliefs: Rational disagreement, he maintains, is perfectly possible. -/- The book provides a detailed critique of relativism in the sociology of scientific knowledge and beyond. With its constructive part it aims at making conciliatory steps in a highly embittered discussion between sociology and philosophy of science. (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)

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)

This paper presents the Constraint Language for Lambda Structures(CLLS), a first-order language for semantic underspecification thatconservatively extends dominance constraints. It is interpreted overlambda structures, tree-like structures that encode -terms. Based onCLLS, we present an underspecified, uniform analysis of scope,ellipsis, anaphora, and their interactions. CLLS solves a variablecapturing problem that is omnipresent in scope underspecification andcan be processed efficiently.