Many of our attitudes are non-culpable: there was nothing that we should have done to avoid holding them. I argue that we can still be blameworthy for non-culpable attitudes: they can impair our relationships in ways that make our full practice of apology and forgiveness intelligible. My argument poses a new challenge to indirect voluntarists, who attempt to reduce all responsibility for attitudes to responsibility for prior actions and omissions. Rationalists, who instead explain attitudinal responsibility by appeal to reasons-responsiveness, can (...) make sense of blameworthiness for non-culpable attitudes. In response, voluntarists could propose a revision of our actual practices. This would lead us into a quite different debate. (shrink)

Given the personal acquaintance between Alan M. Turing and W. Ross Ashby and the partial proximity of their research fields, a comparative view of Turing’s and Ashby’s work on modelling “the action of the brain” (letter from Turing to Ashby, 1946) will help to shed light on the seemingly strict symbolic/embodied dichotomy: While it is clear that Turing was committed to formal, computational and Ashby to material, analogue methods of modelling, there is no straightforward mapping of these approaches onto symbol-based (...) AI and embodiment-centered views respectively. Instead, it will be demonstrated that both approaches, starting from a formal core, were at least partly concerned with biological and embodied phenomena, albeit in revealingly distinct ways. (shrink)

This book presents a thorough reconstruction of the late-scholastic logical treatises De Obligationibus by the methods of modern logic and set theory. It defends the view that the treatises are intended to put forward a theory of disputation.

Two aspects of cognitive coupling, as brought forward in the Extended Mind Hypothesis, are discussed in this paper: how shall the functional coupling between the organism and some entity in his environment be spelled out in detail? What are the paradigmatic external entities to enter into that coupling? These two related questions are best answered in the light of an aetiological variety of functionalist argument that adds historical depth to the “active externalism” promoted by Clark and Chalmers and helps to (...) counter some of the core criticisms levelled against this view. Under additional reference to conceptual parallels between the Extended Mind Hypothesis and a set of heterodox theories in biology—environmental constructivism, niche construction, developmental systems theory—an argument for the grounding of environmentally extended cognitive traits in evolved biological functions is developed. In a spirit that seeks to integrate extended functionalism with views from cognitive integration and complementarity, it is argued that instances of environmental coupling should be understood as being constitutive to cognitive functions in either of two distinct ways. It is further argued that the historically and systematically prior environmental counterparts in that coupling are features of the natural environment. Language and linguistically imbued artefacts are likely to have descended from more basic relations that have an extension over the environment. (shrink)

Media coverage of migration and migrants can exert considerable influence on the public’s understanding of and attitudes towards migration. During the peak of what has been called ‘the refugee crisis’ in 2015, heated discussions about immigration and its possible impact filled the media landscape. This study focuses specifically on the news framing of insecurities regarding immigration, exploring what we have termed ‘uncertainty frames’ in the coverage of refugees, asylum seekers and immigrants. This study will thus lend empirical support to a (...) novel attempt to combine the concepts of uncertainty, risk, and framing. These frames were analyzed within French and Austrian media from 2015 to 2016. Drawing on a content analysis of tabloid and broadsheet articles, different types of uncertainty frames (economy, values, society, etc.) as well as different types of solution frames (the kind of solutions provided for the issue of immigration) were examined. Results suggest that even though all frames decrease in salience over time, important variations in different types of uncertainty frames do appear. It is argued that frames related to abstract issues seem to stay more salient throughout time in both countries. (shrink)

Paleontological evidence suggests that human artefacts with intentional markings might have originated already in the Lower Paleolithic, up to 500.000 years ago and well before the advent of ‘behavioural modernity’. These markings apparently did not serve instrumental, tool-like functions, nor do they appear to be forms of figurative art. Instead, they display abstract geometric patterns that potentially testify to an emerging ability of symbol use. In a variation on Ian Hacking’s speculative account of the possible role of “likeness-making” in the (...) evolution of human cognition and language, this essay explores the central role that the embodied processes of making and the collective practices of using such artefacts might have played in early human cognitive evolution. Two paradigmatic findings of Lower Paleolithic artefacts are discussed as tentative evidence of likenesses acting as material scaffolds in the emergence of symbolic reference-making. They might provide the link between basic abilities of mimesis and imitation and the development of modern language and thought. (shrink)

Das Buch stellt aktuelle Untersuchungsergebnisse aus Soziologie, Erziehungswissenschaft, Psychologie und anderen Disziplinen vor, die auf der Basis qualitativer Forschungsansätze oder aus einer Verbindung qualitativer und quantitativer Forschungsansätze entwickelt wurden.

The problem of epistemic opacity in Artificial Intelligence is often characterised as a problem of intransparent algorithms that give rise to intransparent models. However, the degrees of transparency of an AI model should not be taken as an absolute measure of the properties of its algorithms but of the model’s degree of intelligibility to human users. Its epistemically relevant elements are to be specified on various levels above and beyond the computational one. In order to elucidate this claim, I first (...) contrast computer models and their claims to algorithm-based universality with cybernetics-style analogue models and their claims to structural isomorphism between elements of model and target system. While analogue models aim at perceptually or conceptually accessible model-target relations, computer models give rise to a specific kind of underdetermination in these relations that needs to be addressed in specific ways. I then undertake a comparison between two contemporary AI approaches that, although related, distinctly align with the above modelling paradigms and represent distinct strategies towards model intelligibility: Deep Neural Networks and Predictive Processing. I conclude that their respective degrees of epistemic transparency primarily depend on the underlying purposes of modelling, not on their computational properties. (shrink)

There have been attempts to subsume Charles Darwin's theory of evolution under either one of two distinct intellectual traditions: early Victorian natural science and its descendants in political economy (as exemplified by Herschel, Lyell, or Malthus) and the romantic approach to art and science emanating from Germany (as exemplified by Humboldt and Goethe). In this paper, it will be shown how these traditions may have jointly contributed to the design of Darwin's theory. The hypothesis is that their encounter created a (...) particular tension in the conception of his theory which first opened up its characteristic field and mode of explanation. On the one hand, the domain of the explanandum was conceived of under a holistic and aesthetic view of nature that, in its combination with refined techniques of observation, was deeply indebted to Humboldt in particular. On the other hand, Darwin fashioned explanations for natural phenomena, so conceived, in order to identify their proper causes in a Herschelian spirit. The particular interaction between these two traditions in Darwin, it is concluded, paved the way for a transfer of the idea of causal laws to animate nature while salvaging the romantic idea of a complex, teleological and harmonious order of nature. Copyright © 2015 Elsevier Ltd. All rights reserved. (shrink)

Is freedom a plausible political value for animals? If so, does this imply that animals are owed legal personhood rights or can animals be free but remain human property? Drawing on different conceptions of freedom, I will argue that while positive freedom, libertarian self-ownership, and republican freedom are not plausible political values for animals, liberal ‘option-freedom’ is. However, because such option-freedom is in principle compatible with different legal statuses, animal freedom does not conceptually imply a right to legal self-ownership. Nonetheless, (...) a concern for animal option-freedom means that humans do have a pro tanto duty of non-interference. Arguments familiar from the liberal tradition moreover imply that such a duty speaks for drastic reforms of existing animal law. But it does not imply wholesale abolitionism: it neither rules out positive duties towards animals nor means that we should abandon all interactions with animals. (shrink)

The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across the (...) traditional dichotomies between symbolic and embodied AI, general intelligence and symbol and intelligence and cognitive simulation and human/non-human-like AI. -/- According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programs: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI). -/- In continuation of pragmatic views of the modes of modeling and simulating world affairs, this taxonomy of approaches to modeling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research—and what made that research program uniquely dependent on them. (shrink)

-/- The aim of this paper is to grasp the relevant distinctions between various ways in which models and simulations in Artificial Intelligence (AI) relate to cognitive phenomena. In order to get a systematic picture, a taxonomy is developed that is based on the coordinates of formal versus material analogies and theory-guided versus pre-theoretic models in science. These distinctions have parallels in the computational versus mimetic aspects and in analytic versus exploratory types of computer simulation. The proposed taxonomy cuts across (...) the traditional dichotomies between symbolic and embodied AI, general intelligence and symbol and intelligence and cognitive simulation and human/non-human-like AI. -/- According to the taxonomy proposed here, one can distinguish between four distinct general approaches that figured prominently in early and classical AI, and that have partly developed into distinct research programs: first, phenomenal simulations (e.g., Turing’s “imitation game”); second, simulations that explore general-level formal isomorphisms in pursuit of a general theory of intelligence (e.g., logic-based AI); third, simulations as exploratory material models that serve to develop theoretical accounts of cognitive processes (e.g., Marr’s stages of visual processing and classical connectionism); and fourth, simulations as strictly formal models of a theory of computation that postulates cognitive processes to be isomorphic with computational processes (strong symbolic AI). -/- In continuation of pragmatic views of the modes of modeling and simulating world affairs, this taxonomy of approaches to modeling in AI helps to elucidate how available computational concepts and simulational resources contribute to the modes of representation and theory development in AI research—and what made that research program uniquely dependent on them. (shrink)

The central importance of Marx's concept of nature in the formulation of historical materialism has been largely neglected in the extensive literature on Marx. Alfred Schmidt, philosophical successor to Max Horkheimer and Theodor Adorno in Frankfurt, seeks to elucidate it in this original study.

Nicht nur das menschliche Sein ist Hervorbringen, Umgestalten, Einreißen und Neu-Errichten. Es ist Ruhelosigkeit, Prozessieren und Sehnen. Sehnen wird als Mangel gedeutet, durch den sich das Universum als Ganzes und in seinen Bestandteilen unablässig umgestaltet. In diesem Sinn erweisen sich Fehler und Mängel als ein allgemeines Prinzip der Verbesserung und der permanenten Umgestaltung. Das Weltall hat von Anbeginn an auch eine Sehnsucht nach Sprache und Kultur, nach Geist und Bewusstheit. Die Sehnsucht der Materie setzt sich in Denkern und Forschern fort, (...) um mithilfe der neuen Technologien die Spezies Mensch zu überwinden. Dagegen etablieren sich Wege in eine offene Zukunft, die Raum für Sehnsucht, Reflexion und Mangel lässt. (shrink)