This essay defends two theses regarding the explanation, or ground, of modality in the early modern period. First, for philosophers in the period, essences ground a range of important modal facts. Second, as the period progresses, we witness increased skepticism about certain modal facts, due to a growing skepticism about the scope or existence of essences. These theses are supported by examination of three case studies: Descartes’ treatment of substance and mode (which forms the core of his ontology); Malebranche’s treatment (...) of causation (which bears on his defense of occasionalism); and Locke’s treatment of necessary connections among properties (which is related to his accounts of individuals and kinds). It is shown that in each case, claims about necessity and possibility take center stage, and that in each case, the status of these claims hinges on the status of claims about essences. (shrink)

My aim in this chapter is to survey some of the most important developments in thinking about essence in the early modern period, highlighting ways in which thinkers in the period gradually depart from the medieval Aristotelian tradition. In this tradition, essence is thought of as selective, explanatory, and kind-determining. Whereas in the beginning of the early modern period some figures (such as René Descartes, Thomas Hobbes, Margaret Cavendish, and Anne Conway) still adhere to this traditional view, later figures (including (...) Benedict de Spinoza, G.W. Leibniz, and John Locke) reject it. (shrink)

As the range of potential uses for Artificial Intelligence, in particular machine learning, has increased, so has awareness of the associated ethical issues. This increased awareness has led to the realisation that existing legislation and regulation provides insufficient protection to individuals, groups, society, and the environment from AI harms. In response to this realisation, there has been a proliferation of principle-based ethics codes, guidelines and frameworks. However, it has become increasingly clear that a significant gap exists between the theory of (...) AI ethics principles and the practical design of AI systems. In previous work, we analysed whether it is possible to close this gap between the ‘what’ and the ‘how’ of AI ethics through the use of tools and methods designed to help AI developers, engineers, and designers translate principles into practice. We concluded that this method of closure is currently ineffective as almost all existing translational tools and methods are either too flexible or too strict. This raised the question: if, even with technical guidance, AI ethics is challenging to embed in the process of algorithmic design, is the entire pro-ethical design endeavour rendered futile? And, if no, then how can AI ethics be made useful for AI practitioners? This is the question we seek to address here by exploring why principles and technical translational tools are still needed even if they are limited, and how these limitations can be potentially overcome by providing theoretical grounding of a concept that has been termed ‘Ethics as a Service.’. (shrink)

This paper investigates the responses of GPT-4, a state-of-the-art AI language model, to ten prominent philosophical paradoxes, and evaluates its capacity to reason and make decisions in complex and uncertain situations. In addition to analyzing GPT-4's solutions to the paradoxes, this paper assesses the model's Theory of Mind (ToM) capabilities by testing its understanding of mental states, intentions, and beliefs in scenarios ranging from classic ToM tests to complex, real-world simulations. Through these tests, we gain insight into AI's potential for (...) social reasoning and its capacity for more sophisticated forms of human-AI interaction. The paper also explores the limitations and biases of AI-generated reasoning and its implications for our comprehension of complex philosophical problems. (shrink)

Today decision-makers face surging increases in overall system complexity leading up to more unstable and unpredictable business environments. Leaders and decision-makers are confronted with volatility (dynamic and intense changes), uncertainty (lack of predictability), complexity (interconnection of parts which is sometimes overwhelmingly difficult to process), and ambiguity (unclear relationships), namely the VUCA-world. The implications of the VUCA-world for business and strategy can be applied to the rise of complex cyber-physical systems in Industry 4.0. There is an expressed need to develop complexity (...) management frameworks that integrate different individual measures of dealing with industrial system complexity into a synergetic strategic framework. In this regard new frameworks that reflect “real-life complexity” of industrial systems and their practitioners are being called for. It is therefore the core aim of the thesis to develop and apply a strategic complexity management framework (SCM) that fits in the individual reality of the decision-making practitioner by integrating different complexity dimensions of industrial systems in a holistic, synergetic, and strategic way. As a starting point for achieving this aim, an investigation and exploration of relevant theoretical frameworks is conducted and accumulates in the proposition of a set of hypotheses H1-H13 as an explanatory approach to achieve a multi-dimensional definition of industrial system complexity and to explore its impact on decision-making based on information growth in industrial systems. In a second step, H1-H13 are applied to develop a theoretical complexity space model for industrial systems. In the model the static and dynamic complexity of an industrial system are integrated in a complexity space modelling approach, where information complexity boundaries expand over time in a static compound space of a system and serve as an indicator for system instability in a static complexity space. The capabilities of the complexity space model are theoretically demonstrated, alongside a set of assumptions concerning the behavior of industrial system complexity. The developed complexity space model represents the core theoretical foundation for the establishment of the SCM in a third step. In the third step the complexity of an industrial system is captivated via the strategic complexity management framework (SCM) in the form of a strategic 8- quadrant matrix in adherence to the axioms of the paradigm of strategic complexity engineering which are to acknowledge, characterize, anticipate, and manage complexity. Definitions of static, dynamic and environmental conception of complexity of industrial systems are holistically integrated to capture the internal and external strategic management perspective in the SCM framework and the strategic capabilities of the SCM framework are theoretically demonstrated based on a set of generic norm strategies. In a fourth step the SCM is applied for strategic complexity management purposes to four different real-world cases of industrial manufacturing systems with the goal to test, explore and discuss the practical decision-aiding applicability of the framework via an interventionistic multi-case study based on qualitative document review. The individual results of the SCM application on the four different cases are described and discussed. Key-learnings across cases are identified and discussed as a conclusion. Finally, a research outlook is provided. (shrink)

The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...) ‘what’ of AI ethics —rather than on practices, the ‘how.’ Awareness of the potential issues is increasing at a fast rate, but the AI community’s ability to take action to mitigate the associated risks is still at its infancy. Our intention in presenting this research is to contribute to closing the gap between principles and practices by constructing a typology that may help practically-minded developers apply ethics at each stage of the Machine Learning development pipeline, and to signal to researchers where further work is needed. The focus is exclusively on Machine Learning, but it is hoped that the results of this research may be easily applicable to other branches of AI. The article outlines the research method for creating this typology, the initial findings, and provides a summary of future research needs. (shrink)

Many philosophers in the field of meta-ethics believe that rational degrees of confidence in moral judgments should have a probabilistic structure, in the same way as do rational degrees of belief. The current paper examines this position, termed “moral Bayesianism,” from an empirical point of view. To this end, we assessed the extent to which degrees of moral judgments obey the third axiom of the probability calculus, ifP(A∩B)=0thenP(A∪B)=P(A)+P(B), known as finite additivity, as compared to degrees of beliefs on the one (...) hand and degrees of desires on the other. Results generally converged to show that degrees of moral judgment are more similar to degrees of belief than to degrees of desire in this respect. This supports the adoption of a Bayesian approach to the study of moral judgments. To further support moral Bayesianism, we also demonstrated its predictive power. Finally, we discuss the relevancy of our results to the meta-ethical debate between moral cognitivists and moral non-cognitivists. (shrink)

»Welche [Zugangsweise] man wählt, hängt weitgehend von der Fragestellung ab und davon, was man eigentlich erreichen möchte. Jede Betrachtung, die sich nur auf den einen Zugang beschränkt, ist einseitig. Es gibt hier ein Spannungsfeld, das es auszuhalten gilt«, so Ulrich Freund in einer Diskussion über das Verhältnis reduktionistischer und holistischer Verfahrensweisen in der Medizin. Während seine Äußerung durchaus von einem gewissen Optimismus geprägt ist, dass die Gegensätze zwischen Reduktionismus und Holismus nicht überbetont werden sollten, verdeckt sie doch ein grundlegendes (...) Problem. Dieses Problem besteht darin, dass es, wenn erst eine Reduktion vollzogen wurde, äußerst schwierig ist, die Ergebnisse der Reduktion wieder zu rekontextualisieren. Die Schwierigkeit besteht darin, die bereichsspezifischen Ergebnisse in ihrer Bedeutung für den umfassenden Kontext, aus dem sie gewonnen wurden, zu interpretieren. (shrink)

Bis vor kurzem wurden die Namen Alfred North Whitehead und Bertrand Russell zumeist in einem Atemzug genannt. Im Anschluss an die gemeinsam verfassten Principia Mathematica gingen beide jedoch dezidiert eigene philosophische Wege. Wahrend Russell maageblich zur Entstehung der analytischen Philosophie beitrug, markiert Whiteheads spate Philosophie den Beginn der bis heute virulenten prozessmetaphysischen Tradition. Stand Whitehead dabei lange im Schatten seines langjahrigen Freundes und Kollegen, zeichnet sich spatestens seit Beginn des 21. Jahrhunderts ein bemerkenswerter Umschwung ab. Der vorliegende Band nimmt die (...) Entwicklung zum Anlass, um Gemeinsamkeiten und Differenzen der beiden Klassiker der angelsachsischen Philosophie neu zu sondieren. (shrink)

Der vorliegende Aufsatz stellt den Versuch dar, die normative Seite von Wittgensteins Frühwerk herauszuarbeiten und dabei an seinem Ansatz insofern Kritik zu üben, als gezeigt wird, wie sehr dessen Implikationen mit unseren üblichen ethischen Vorstellungen in Konflikt stehen. Die Arbeit hat aber auch einen etwas wohlwollenderen Aspekt: Sie versucht zu zeigen, wie Wittgensteins scheinbar widersinnige Ansichten so formuliert werden können, daß sie zumindest begreifbar erscheinen. Zu diesem Zweck beginnen wir mit der Untersuchung des demjenigen Wittgensteins erstaunlich ähnlichen ethischen Ansatzes, wie (...) er von einem seiner frühen väterlichen Freunde vertreten wurde, nämlich von Karl Kraus. (shrink)

Da Gintis ein leitender Ökonom ist und ich einige seiner früheren Bücher mit Interesse gelesen habe, erwartete ich einige weitere Einblicke in das Verhalten. Leider, macht er die toten Hände der Gruppenauswahl und Phänomenologie in die Herzstücke seiner Verhaltenstheorien, und das macht die Arbeit weitgehend ungültig. Schlimmer noch, da er hier ein so schlechtes Urteilsvermögen an den Tag stellt, stellt er all seine bisherigen Arbeiten in Frage. Der Versuch, die Gruppenauswahl seiner Freunde in Harvard, Nowak und Wilson wiederzubeleben, vor ein (...) paar Jahren war einer der größten Skandale in der Biologie in den letzten zehn Jahren, und ich habe die traurige Geschichte in meinem Artikel "Altruismus, Jesus und das Ende der Welt – wie die Templeton Foundation kaufte eine Harvard-Professur und angegriffen Evolution, Rationalität und Zivilisation -- Eine Rezension von E.O. Wilson 'The Social Conquest of Earth' (2012) und Nowak und Highfield 'SuperCooperators' (2012). Im Gegensatz zu Nowak scheint Gintis nicht durch religiösen Fanatismus motiviert zu sein, sondern durch den starken Wunsch, eine Alternative zu den düsteren Realitäten der menschlichen Natur zu schaffen, die durch das (nahezu universelle) Unverständnis der grundlegenden menschlichen Biologie und des leeren Schiefers von Verhaltenswissenschaftlern, anderen Akademikern und der breiten Öffentlichkeit leicht gemacht wird. Gintis greift zu Recht (wie schon oft zuvor) Ökonomen, Soziologen und andere Verhaltensforscher an, weil sie keinen kohärenten Rahmen haben, um Verhalten zu beschreiben. Natürlich ist das Notwendige, um Das Verhalten zu verstehen, evolutionär. Leider bietet er selbst keine selbst (nach seinen vielen Kritikern und ich stimme zu), und der Versuch, die faule Leiche der Gruppenauswahl auf alle wirtschaftlichen und psychologischen Theorien zu transplantieren, die er in seiner jahrzehntelangen Arbeit erzeugt hat, macht nur sein gesamtes Projekt ungültig. Obwohl Gintis sich tapfer bemüht, die Genetik zu verstehen und zu erklären, wie Wilson und Nowak, ist er weit davon entfernt, ein Experte zu sein, und wie sie blendet ihn die Mathematik nur für die biologischen Unmöglichkeiten, und das ist natürlich die Norm in der Wissenschaft. Wie Wittgenstein auf der ersten Seite von Kultur und Wert bekannte: "Es gibt keine religiöse Konfession, in der der Missbrauch metaphysischer Ausdrücke für so viel Sünde verantwortlich war wie in der Mathematik." Es war immer glasklar, dass ein Gen, das Verhalten verursacht, das seine eigene Frequenz verringert, nicht bestehen kann, aber dies ist der Kern des Begriffs der Gruppenauswahl. Darüber hinaus ist bekannt und oft gezeigt, dass Gruppenauswahl nur auf inklusive Fitness reduziert (Verwandtise), die, wie Dawkins festgestellt hat, ist nur ein weiterer Name für evolution durch natürliche Selektion. Wie Wilson arbeitet Gintis seit etwa 50 Jahren in dieser Arena und hat sie immer noch nicht begriffen, aber nach dem Skandal hat es nur 3 Tage gedauert, bis ich die relevanteste professionelle Arbeit gefunden, gelesen und verstanden habe, wie in meinem Artikel beschrieben. Es ist ein Irrsinn zu erkennen, dass Gintis und Wilson nicht in der Lage waren, dies in fast einem halben Jahrhundert zu erreichen. Ich diskusere die Fehler der Gruppenauswahl und Phänomenologie, die in der Wissenschaft die Norm sind, als Sonderfälle des nahezu universellen Versagens, die menschliche Natur zu verstehen, die Amerika und die Welt zerstören. Wer aus der modernen zweisystems-Sichteinen umfassenden, aktuellen Rahmen für menschliches Verhalten wünscht, kann mein Buch "The Logical Structure of Philosophy, Psychology, Mindand Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019) konsultieren. Wer sich für mehr meiner Schriften interessiert, kann 'Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019) und Suicidal Utopian Delusions in the 21st Century 4th ed (2019) sehen. (shrink)

The received view has it that analytic philosophy emerged as a rebellion against the German Idealists (above all Hegel) and their British epigones (the British neo-Hegelians). This at least was Russell’s story: the German Idealism failed to achieve solid results in philosophy. Of course, Frege too sought after solid results. He, however, had a different story to tell. Frege never spoke against Hegel, or Fichte. Similarly to the German Idealists, his sworn enemy was the empiricism (in his case, John Stuart (...) Mill). Genealogically, this stance is not difficult to explain. Frege grew up as a philosopher in the context of the German Idealists. He was a member of Karl Snell’s “Sunday Circle” of university teachers in Jena. The group was influenced with Schelling and the German romanticists. The first Anglophone scholar to point out what Frege's thought owes to nineteenth-century Germany philosophy, Hans Sluga, argued that Frege followed the philosophical-logical tradition originating with Leibniz and Kant which Trendelenburg and Lotze developed significantly. About the same time, a philosophical historian writing in German, Gottfried Gabriel, did much to bring this tradition to light, casting Frege as neo-Kantian. Advancing beyond Sluga and Gabriel, the present paper reveals that through the mediation of Trendelenburg and especially of Lotze many elements of German idealism found their way into Frege's logic and philosophy. (shrink)

Frege and Peano started in 1896 a debate where they contrasted the respective conceptions on the theory and practice of mathematical definitions. Which was (if any) the influence of the Frege-Peano debate on the conceptions by the two authors on the theme of defining in mathematics and which was the role played by this debate in the broader context of their scientific interaction?