Berichte an Herrn von Steiger.--Über die ästhetische Darstellung der Welt als das Hauptgeschäft der Erziehung.--Über Erziehung unter öffentlicher Mitwirkung.--Über einige Beziehungen zwischen Psychologie und Staatswissenschaft.--Über Fichtes pädagogische Ansichten.--Von der Erziehungskunst.--Briefe über die Anwendung der Psychologie auf die Pädagogik.--Herbarts Bericht über die Erfahrungen des Königsberger Seminars.--Herbarts Vorschläge zur Weiterführung des Pädagogischen Seminars Königsberg nach seinem Abgang.--Johann Friedrich Herbart, von A. Brückmann.--Bibliographie (p. [161]-162).

Affective congruency effects in the evaluation task can be explained by either spreading of activation or response competition. Eliminating effects of response compatibility by using other tasks (semantic categorisation, naming task) typically also eliminates affective congruency effects. However, there is no need for processing the affective information of the stimuli in these tasks either, which could be necessary for an affectively mediated spreading of activation (Spruyt et al., 2007, 2009, 2012). We introduced a new task to further test this hypothesis. (...) The valent/neutral-categorisation task does not confound affective congruency with response compatibility, but still requires a processing of the stimuli's valence. No affective congruency effect was obtained with this task in two experiments, disfavouring a conditional spreading activation account. On the other hand, a significant priming effect was found for associated word pairs in Experiment 1, providing evidence for the sensitivity of the task to detect spreading activation processes. (shrink)

The book examines the discourse on attention emerging in the European Enlightenment (1650-1780) with a focus on German philosophy and literature. It argues that this discourse influenced the formation of aesthetic philosophy in the eighteenth century. Notable figures discussed include René Descartes, G.W.F. Leibniz, Christian Wolff, and Alexander Baumgarten.

In climate science, climate models are one of the main tools for understanding phenomena. Here, we develop a framework to assess the fitness of a climate model for providing understanding. The framework is based on three dimensions: representational accuracy, representational depth, and graspability. We show that this framework does justice to the intuition that classical process-based climate models give understanding of phenomena. While simple climate models are characterized by a larger graspability, state-of-the-art models have a higher representational accuracy and representational (...) depth. We then compare the fitness-for-providing understanding of process-based to data-driven models that are built with machine learning. We show that at first glance, data-driven models seem either unnecessary or inadequate for understanding. However, a case study from atmospheric research demonstrates that this is a false dilemma. Data-driven models can be useful tools for understanding , specifically for phenomena for which scientists can argue from the coherence of the models with background knowledge to their representational accuracy and for which the model complexity can be reduced such that they are graspable to a satisfactory extent. When citing this paper, please use the full journal title Studies in History and Philosophy of Science. (shrink)

Pars 1. Contemplativa -- Pars 2. Activa.

In transformation research of late, accounts on the relation between intentionality and agency on the one hand, and the more routinised and structured side of social co-existence on the other, are increasingly nuanced. However, we observe a deficiency in the way arguments are set up by the interlocutors: both, scholars who grant intentionality a central role and those who emphasise its limitations generally do so at the level of ontology – debating degrees of human capacity for conscious planning versus a (...) largely unconscious reproduction. We wish to shift this question from an ontological to a pedagogical one, exploring possibilities to cultivate and learn intentionality. We do so by developing the concept of consciousness-in-nature that we derive from, and contextualise in, the traditions of deep ecology and (Westernised) Buddhism which both view human beings as inseparable from nature and one another. With consciousness-in-nature we refer to an understanding of humans as a part of nature that has developed the capacity for (self-) reflection and deliberation – a capacity that is not static or firm but can be nurtured and cultivated or clouded over and subdued. From this standpoint, we lay out an understanding of the role of (re)learning consciousness for processes of social change and explore potentials for its nurturing. (shrink)

The advent of ChatGPT by OpenAI has prompted extensive discourse on its potential implications for science and higher education. While the impact on education has been a primary focus, there is limited empirical research on the effects of large language models (LLMs) and LLM-based chatbots on science and scientific practice. To investigate this further, we conducted a Delphi study involving 72 researchers specializing in AI and digitization. The study focused on applications and limitations of LLMs, their effects on the science (...) system, ethical and legal considerations, and the required competencies for their effective use. Our findings highlight the transformative potential of LLMs in science, particularly in administrative, creative, and analytical tasks. However, risks related to bias, misinformation, and quality assurance need to be addressed through proactive regulation and science education. This research contributes to informed discussions on the impact of generative AI in science and helps identify areas for future action. (shrink)

Commercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to ‘small problems’, which are well-structured cases characterized by repeated evaluation of predictions. Here, we show that in climate research, intermediate categories exist between classical domain science and big data, and that big-data elements have also been applied without the possibility of repeated evaluation. Big-data elements can be useful for climate research beyond small problems if (...) combined with more traditional approaches based on domain-specific knowledge. The biggest potential for big-data elements, we argue, lies in socioeconomic climate research. (shrink)

C-systems were defined by Cartmell as models of generalized algebraic theories. B-systems were defined by Voevodsky in his quest to formulate and prove an initiality conjecture for type theories. They play a crucial role in Voevodsky’s construction of a syntactic C-system from a term monad. In this work, we construct an equivalence between the category of C-systems and the category of B-systems, thus proving a conjecture by Voevodsky.

On the one hand, arguably, I am neither this nor that. Arguably, neither is God this or that – so, am I God? Otherwise it seems that I must be this and God must be that. On the other hand, the being of the universe is not something of which I could plausibly be construed as the ultimate cause. That is God's creative act. Because I do not create the universe, I am not God. So I am God and I (...) am not God. Here's a solution: God is One but also Three, I am but one. (shrink)

Pars 1. Logica -- pars 2. Ontologia -- pars 3. Cosmologia -- pars 4. Psychologia -- pars 5. Theologia naturalis -- pars 6. Physica generalis -- pars 7. Physica particularis corporum totalium huius mundi -- pars 8. Physica particularis corporum partialium telluris nostræ.

In recent years, the ability to gather and store information has increased dramatically, and the ability to make use of these increasing volumes of data has improved. This advent of big data has opened up new opportunities for scientific research, including for research on climate change. These changes are associated with a number of interesting philosophical questions. This chapter provides an introduction to these questions. It starts by first clarifying terminological issues concerning “big data” and related terms and by giving (...) an overview of big data elements that can be found in climate research. Second, it discusses data in climate research with a focus on new developments regarding the increase in the volume and complexity of climate data and on how the uncertainty of climate datasets may be assessed. Finally, the chapter addresses the topic of machine learning in climate research and specifically the use of machine learning for the data-driven modeling of climate phenomena. The focus of this discussion is on the representational accuracy of data-driven models and how it might be assessed and what this implies for their use for predictions and for understanding. (shrink)

U članku se kroz višedisciplinarni pristup kognitivnih znanosti proučava osobito ljudsko iskustvo povezano s religioznim doživljajem stvarnosti, koje se u tradiciji discipline povijesti religija naziva ‘iskustvo svetoga’. U skladu s teorijom emergencije, predlaže se definicija iskustva svetoga kao stanja svijesti sa subjektivnom kvalitetom integracije, specifičnim neurološkim korelatom i funkcionalnim obilježjima. Emergentne teorije svijesti pružaju ontološki ujednačeno tumačenje iskustava svetoga nudeći »naravna« objašnjenja bez odricanja njihove fenomenološke subjektivnosti. Prijenos iskustva svetoga iz unitarnoga, svojevrsnog intencionalno neobojenoga stanja, u izrecivi jezični kôd intencionalno (...) relevantnih pojmova sa sveprožimajućim utjecajima na opojmljivanje svijeta razmatra se pomoću kognitivne jezične teorije u tradiciji Johnsona i Lakoffa. Sposobnost izricanja značenja iskustva svetoga sagledava se kao emergentno svojstvo pojmovnog procesuiranja metaforičkoga razmišljanja uvjetovanoga utjelovljenošću uma i kulturalnim odrednicama. Predloženi pristup omogućuje tumačenje nastanka složenih mitoloških i kulturalnih modela temeljem iskustva svetoga, ali i ukazuje na njegovu kulturalnu neuvjetovanost zadanu nediskurzivnom naravi samog iskustva.In this article a multidisciplinary approach of cognitive sciences is employed for the analysis of a special category of human experience related to the religious understanding of the world, termed according to the History of Religion as the ‘experience of sacred’. The experience of sacred is defined as the state of consciousness with a subjective quality of integration, a specific neural correlate and functional features. Emergentist theory of consciousness provides ontologically consistent perspective offering a “natural” explanation for this type of experience without denying its subjective phenomenology. The linguistic expression of the experience is examined in the light of Johnson’s and Lakoff’s cognitive linguistic theory. The linguistic competence enabling the expression of the sacred experience is defined as the emergent property of conceptual processing of metaphorical thinking shaped by the embodied mind. This approach explains the seminal role of the experience of sacred in the formation of complex mythological and cultural models, but also points to its non discursive nature. (shrink)

ABSTRACTDot-probe studies usually find an attentional bias towards threatening stimuli only in anxious participants, but not in non-anxious participants. In the present study, we conducted two experiments to investigate whether attentional bias towards angry faces in unselected samples is moderated by the extent to which the current task requires social processing. In Experiment 1, participants performed a dot-probe task involving classification of either socially meaningful targets or meaningless targets. Targets were preceded by two photographic face cues, one angry and one (...) neutral. Angry face cues only produced significant cueing scores with socially meaningful targets, not with meaningless targets. In Experiment 2, participants classified only meaningful targets, which were either socially meaningful or not. Again, mean cue... (shrink)

We generalize the construction of lattice-valued models of set theory due to Takeuti, Titani, Kozawa and Ozawa to a wider class of algebras and show that this yields a model of a paraconsistent logic that validates all axioms of the negation-free fragment of Zermelo-Fraenkel set theory.

The contributions to this collection deal with the fundamental problem of unity, which plays a decisive role in many contemporary debates (even when this role ...

Die vorliegende umfangreiche Untersuchung erschliesst die werkgenetische Entwicklung von Jacques Maritains Personbegriff. Auf differenzierte Weise wird der Zusammenhang von Maritains Leben und Werk dargestellt. Daraus leitet der Autor eine originelle Unterteilung von Maritains Denken in vier Stufen ab, wobei er zugleich die innere Verschrankung von Ontologie, Gnoseologie und Anthropologie erhellt. Demzufolge konzentriert sich Maritain nach einer Phase geistigen Suchens vor allem auf die Erneuerung der scholastischen Erkenntnistheorie, deren konzeptualistische Engfuhrung er allmahlich mit Hilfe eines metaphysischen Existentialismus zu uberwinden versucht. So (...) findet er schliesslich zu einem koharenten Personalismus, d.h. er stellt die Person und die ihr eigene Freiheitsordnung in den Mittelpunkt seiner Uberlegungen.<BR> Die vorliegende Arbeit ist bislang die erste ihrer Art im gesamten deutschsprachigen Raum. Sie erschliesst einen Denker, der den Menschen von seiner Freiheit und nicht mehr von seiner (metaphysischen) Natur her zu bestimmen versucht. Daruber hinaus macht sie deutlich, wie sich Theologie und Philosophie auf dem gemeinsamen Terrain der Anthropologie gegenseitig erganzen und befruchten.". (shrink)

Hippocampal neurogenesis has been implicated in the pathogenesis of and recovery from depression. However, most of the underlying studies were endpoint investigations in experimental animals yielding conflicting results, and it has been under debate to which extent these results could be transferred to human patients. Now, researchers have developed a powerful new tool to address these questions by a non‐invasive method in humans and animals in vivo, using magnetic resonance spectroscopy to detect a biomarker for proliferating progenitor cells that give (...) rise to new neurons.1 This makes it possible to study the role of neural progenitor cells in a wide variety of human brain disorders. BioEssays 30:806–810, 2008. © 2008 Wiley Periodicals, Inc. (shrink)