The ability to appropriately sequence a list of discrete items is an important facet in performing routine cognitive tasks and may play a significant role in the acquisition of early communication skills. Though the serial learning abilities of some species, such as chimpanzees and rhesus macaques are well documented, there is virtually no information on the extent of these skills with gorillas. In this study, a young female western lowland gorilla has demonstrated the ability to learn a list of (...) seven Arabic numerals by selecting them on a monitor behind an infrared touchframe. As list length increased, Rollie required fewer trials to reach the criterion, suggesting an acquisition of skills associated with serial learning. Rollie was most likely to correctly select the first item in the sequence and least likely to select the penultimate item in the sequence. Her performance suggests serial learning abilities in the range of other non-verbal species and provides preliminary evidence that supports the assertion that gorillas can succeed at this form of serial learning task. (shrink)

A tendency of previous studies of lifelong learning to focus on learning and learning subjectivities may have led to an underestimation of potential effects in terms of a system of knowledge constitutive processes that operates powerfully to shape our societies. In this paper we explore lifelong learning and practices in the construction of knowledge at the point where a new relationship is being attempted between university courses and workplaces through programmes for learning. Drawing from Foucault (...) and others we argue a strategic relation between discourses of lifelong learning and knowledge practices in such locations. Discourses of lifelong learning appear to support the reaching out of disciplinary practices into the workplace where theoretical knowledge is combined with knowledge derived from work experience, as a new form of knowledge that has use value. Discipline as a modality of power appears reconfigured and multiplied in new power-knowledge constellations which aim to subdue the desire and power of know how. Rather than lifelong learning as learning apparatus and strategy in the promotion of a will to learn as has been suggested elsewhere, we offer an alternative account. Here the promotion of a will to learn articulates with the will to knowledge in part through discourses of lifelong learning. Practices of knowledge constitution support the pacification of know how through its reconfiguration as knowledge that can be codified and mobilized for economic innovation. (shrink)

In popular discussions, the nuances of AI are often abridged as “the algorithm”, as the specific arrangements of machine learning, deep learning and automated decision-making on social media platforms are typically shrouded in proprietary secrecy punctuated by press releases and transparency initiatives. What is clear, however, is that AI embedded on social media functions to recommend content, personalize ads, aggregate news stories, and moderate problematic material. It is also increasingly apparent that individuals are concerned with the uses, implications, (...) and fairness of algorithmic systems. Perhaps in response to concerns about “the algorithm” by individuals and governments, social media platforms utilize transparency initiatives and official statements, in part, to deflect official regulation. In the following paper, I draw from transparency initiatives and statements from representatives of Facebook and TikTok as case studies of how AI is embedded in these platforms, with attention to the promotion of AI content moderation as a solution to the circulation of problematic material and misinformation. This examination considers the complexity of embedded AI as a material-discursive apparatus, predicated on discursive techniques—what is seeable, sayable, knowable in a given time period—as well as the material arrangements—algorithms, datasets, users, platforms, infrastructures, moderators, etc. As such, the use of AI as part of the immensely popular platforms Facebook and TikTok demonstrates that AI does not exist in isolation, instead functioning as human–machine ensemble reliant on strategies of acceptance via discursive techniques and the changing material arrangements of everyday embeddedness. (shrink)

Those with knowledge about scientific instruments come from many different fields. Prominent among them are (1) collectors and dealers, (2) curators, (3) historians, (4) instrument makers, (5) philosophers, and (6) scientists (the order is alphabetical, not value-laden). The annual symposium of the Scientific Instrument Commission often brings members of each of these groups together, and they learn from one another. What follows are brief reflections on the activities of each group when its members consider instruments.

A distinction is made between superpositional and non-superpositional quantum computers. The notion of quantum learning systems - quantum computers that modify themselves in order to improve their performance - is introduced. A particular non-superpositional quantum learning system, a quantum neurocomputer, is described: a conventional neural network implemented in a system which is a variation on the familiar two-slit apparatus from quantum physics. This is followed by a discussion of the advantages that quantum computers in general, and quantum (...) neurocomputers in particular, might bring, not only to our search for more powerful computational systems, but also to our search for greater understanding of the brain, the mind, and quantum physics itself. (shrink)

This paper develops an account of how the implementation of ML models into healthcare settings requires revising the methodological apparatus of philosophical bioethics. On this account, ML models are cognitive interventions that provide decision-support to physicians and patients. Due to reliability issues, opaque reasoning processes, and information asymmetries, ML models pose inferential problems for them. These inferential problems lay the grounds for many ethical problems that currently claim centre-stage in the bioethical debate. Accordingly, this paper argues that the best (...) way to make progress in remedying these ethical problems is to distil their epistemic core and to identify appropriate epistemic norms as guardrails. The viability of this approach will be highlighted based on four key issues: trust, responsibility, paternalism, and fairness. In that respect, the paper also contributes to a more pronounced view of the specific methodological challenges for ethical theorizing, when the point of reference are complex statistical models that make predictions, rather than individual agents, acting for reasons. (shrink)

Through an educational reading of Édouard Glissant and Peter Sloterdijk, this article draws out and develops latent pedagogical philosophies that bear distinct relationships to colonialism and struggles against and beyond colonialism. In particular, it identifies two related educational philosophies that propel colonization and, in turn, proposes a theory of errant learning that might undergird decolonization. It focuses on Glissant’s minor remarks about different conceptions of understanding in order to identify the grasping drive as the educational foundation of the colonizing (...) apparatus. After articulating the other form of understanding he offers, giving-on-and-with, I point to a potential contradiction in this division as it relates to his overall project. By freeing grasping from the grasping drive, I reconfigure the relationship between grasping and giving-on-and-with in a way that allows for certain kinds of enclosures. This introduces the question of pedagogical form, a question explored in Sloterdijk’s sphereological investigations. Reading the colonizing phase of globalization through Sloterdijk’s notion of lordly imagining—which I link with the grasping drive—the article draws out how different educational processes produce different kinds of spheres. Finally, it articulates errant learning as a pneumatic process of grasping and giving-on-and-with that values opacity over transparency to produce foam formations with attention to the history of inequality and injury through immune deprivation. (shrink)

One is occasionally reminded of Foucault's proclamation in a 1970 interview that "perhaps, one day this century will be known as Deleuzian." Less often is one compelled to update and restart with a supplementary counter-proclamation of the mathematician, David Lindley: "the twenty-first century would be a Bayesian era..." The verb tenses of both are conspicuous. // To critically attend to what is today often feared and demonized, but also revered, deployed, and commonly referred to as algorithm(s), one cannot avoid the (...) mathematical and philosophical legacies of probability. // But attending to these probabilistic or Bayesian legacies must include an undeniable theological legacy in which they remain entangled. // We are not, today, discovering quirky theological metaphors in contemporary technics. It's the other way around. The technologies are mere metaphors of past theologies. (shrink)

What is the relation between material hermeneutics, bodies, perception and materials? In this article, I shall argue cultural learning processes tie them together. Three aspects of learning can be identified in cultural learning processes. First, all learning is tied to cultural practices. Second, all learning in cultural practice entangle humans’ ability to recognize a material world conceptually, and finally the boundaries of objects, the object we perceive, are set by shifting material-conceptual entanglements. All these aspects (...) are important for material hermeneutics in a technoculture. Postphenomenology has expanded the connection between hermeneutics and phenomenology by focusing on studies of how perception, bodies, materials, the sensual realm and hermeneutics are entwined when we perceive the world through technologies. Following Don Ihde, hermeneutics expands beyond interpretation of texts in the humanities. We can interpret materials as for instance animal bones to make new sense of the Bible. New technologies have expanded material hermeneutics, when we can ‘look’ into bodies and ‘perceive’ below surfaces. Interpretation via such tools in a technoculture, both limit and extend our hermeneutic horizons in the humanities as well as in the natural sciences. Furthermore, from the perspective of cultural learning processes, material hermeneutics in the human and natural sciences depend on more than mediating instruments. Material hermeneutics also involve the material cultural environments of scientific apparatuses and the scientists’ processes of learning in cultural practice. This changes the focus from relations in postphenomenology to processes of relations. (shrink)

This article examines the interplay between contemporary algorithmic security technology and the political theory of the state of exception. I argue that the exception, as both a political and a technological concept, provides a crucial way to understand the power operating through machine learning technologies used in the security apparatuses of the modern state. I highlight how algorithmic security technology, through its inherent technical properties, carries exceptions throughout its political and technological architecture. This leads me to engage with Theodor (...) Adorno’s negative dialectics to interrogate the question of ‘ground truth’ in machine learning. I conclude that most machine learning technology asserts identity between itself and bourgeois reality – and thus inherently reinforces and reproduces the relations of domination entailed in that image of the world. However, space still exists for machine learning to operate within spaces of political non-identity, or exceptions to the bourgeois totality, and aid in liberatory politics. (shrink)

An authoritative critical edition, based on fresh collation of the seventeenth century texts and documented in an extensive textual apparatus, of Francis Bacon's The Advancement of Learning, the principal philosophical work in English announcing his comprehensive programme to restore and advance learning.

This paper fills a gap in Flusser scholarship by conducting an initial comparison of Flusser with Rudolf Arnheim. After noting their similar approaches – open both to science and phenomenology – it looks closely at each theorist’s respective theory of photography. They differ in that Flusser believes that the photography as a technical apparatus is not objective. However, with some contextualization each can be seen to say complementary things. Reflecting on each theorist’s cautiously optimistic or pessimistic approach to evolving (...) media, the paper concludes with thoughts on how they give helpful ideas on how to flesh out aspects of the other’s thought. (shrink)

Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to make fundamental judgments (“How similar are cats and bears?”), and how these judgments depend on the features that describe concepts (e.g., size, furriness). However, efforts to date have exhibited a substantial discrepancy between algorithm predictions and human empirical judgments. Here, we introduce a novel approach to (...) generating embeddings for this purpose motivated by the idea that semantic context plays a critical role in human judgment. We leverage this idea by constraining the topic or domain from which documents used for generating embeddings are drawn (e.g., referring to the natural world vs. transportation apparatus). Specifically, we trained state-of-the-art machine learning algorithms using contextually-constrained text corpora (domain-specific subsets of Wikipedia articles, 50+ million words each) and showed that this procedure greatly improved predictions of empirical similarity judgments and feature ratings of contextually relevant concepts. Furthermore, we describe a novel, computationally tractable method for improving predictions of contextually-unconstrained embedding models based on dimensionality reduction of their internal representation to a small number of contextually relevant semantic features. By improving the correspondence between predictions derived automatically by machine learning methods using vast amounts of data and more limited, but direct empirical measurements of human judgments, our approach may help leverage the availability of online corpora to better understand the structure of human semantic representations and how people make judgments based on those. (shrink)

An authoritative critical edition, based on fresh collation of the seventeenth century texts and documented in an extensive textual apparatus, of Francis Bacon's The Advancement of Learning, the principal philosophical work in English announcing his comprehensive programme to restore and advance learning.

Although it is a relatively new phenomenon, the most popular descriptions of post-truth operate within the boundaries of the classical dichotomy between emotion and reason that dates back to Plato’s Phaedrus: both, to some extent, view emotions as impediments to knowledge and our ability to live morally upstanding lives (248a-b). Post-truth, which is seen as a threat to reason, social cohesion, and fact-based knowledge claims, is either viewed as the outcome of the failure of our cognitive apparatus, or a (...) consequence of our unchecked thirst for stories that provoke dramatic feelings. From a feminist point of view, this should give us pause, since the arguments used to dismiss post-truth resemble those that dismissed women’s experiences and emotions as idiosyncratic or irrational. Have post-truth scholars been too hasty in their judgment of emotion-based knowledge claims? In this essay, I explore the transcendental role of emotion in its relationship to epistemic knowledge claims and argue that emotion should be given a more primordial status in the analysis of post-factuality. I do this by exploring the psychoanalytic and phenomenological analysis of affect, especially Sara Ahmed’s feminist phenomenology of embodiment. (shrink)

Objective: Mindfulness-based intervention has been proposed to alleviate loneliness and improve social connectedness. Several randomized controlled trials have been conducted to evaluate the effectiveness of MBI. This study aimed to critically evaluate and determine the effectiveness and safety of MBI in alleviating the feeling of loneliness.Methods: We searched Medline, Embase, PsycInfo, Cochrane CENTRAL, and AMED for publications from inception to May 2020. We included RCTs with human subjects who were enrolled in MBI with loneliness as an outcome. The quality of (...) evidence was assessed using Cochrane's Risk of Bias tool and Grading of Recommendations Assessment, Development, and Evaluation. A random-effects model was used for meta-analysis.Results: Out of 92 articles identified, eight studies involving 815 participants were included in this study. Most trials conducted a minimum of 8 weeks of MBI. Most of the trials used UCLA-Loneliness Scale. A pooled analysis combining three trials and compared with wait-list showed significant improvement in loneliness score reduction using the UCLA-R scale with MD of −6.33 [95% confidence interval : −9.39, −3.26]. Subgroup analysis with only two Cognitively-Based Compassion Training trials also showed similar MD of −6.05. The overall quality of evidence was low.Conclusions: Mindfulness intervention with an average length of 8-week duration significantly improved the population's loneliness level with no mental health issue. However, this evidence had a low GRADE level. (shrink)

Alchemists' illustrations indicated through symbols the processes being attempted; but with Lavoisier's Elements (1789), the place of imagination and symbolic language in chemistry was much reduced. He sought to make chemistry akin to algebra and its illustrations merely careful depictions of apparatus. Although younger contemporaries sought, and found in electrochemistry, a dynamical approach based upon forces rather than weights, they found this very difficult to picture. Nevertheless, by looking at chemical illustrations in the eighty years after Lavoisier's revolutionary book, (...) we can learn about how reactions were carried out, and interpreted, and see that there was scope for aesthetic judgement and imagination. (shrink)

learning about language is an exciting and ambitious new series of introductions to fundamental topics in language, linguistics and related areas. The books are designed for students of linguistics and those who are studying language as part of a wider course. In Realms of Meaning Thomas Hofmann provides an introduction to semantics that will be accessible to a student without any formal knowledge of the subject. This book provides an understanding of the way meaning works in natural languages against (...) a background of how we communicate with language. Thomas Hofmann has designed his text with particular attention to the needs and interests of the layman, whether student or interested general reader. To that end he avoids theoretical terminology and elaborate technical apparatus, and his survey also avoids commitment to specific linguistic theories which might limit the general usefulness of the book, or be vulnerable to the changes and developments over time. Contentious issues are mentioned only lightly but analysis of meaning is taken nevertheless to the frontiers of current knowledge, and the book has new ideas and perspectives that will be of real interest to specialists of semantics, linguistics and neighbouring areas especially psychology, philosophy and sociology. The fifteen chapters of the book cover many different aspects of the subject and how meaning is conveyed in linguistic communication. Examples are chosen mainly from English to provide material for the wider discussion of the principles in the subject, but European, East Asian and other languages also provide illuminating examples. (shrink)

In our paper we aim at reflecting upon the extent to which educational theory may be used as a framework in the analysis of policy documents. As policy texts are ‘heteroglossic in character’ (Lingard and Ozga, in The Routledge Falmer reader in education policy and politics, Routledge, London and New York, 2007 , p. 2) and create “circumstances in which the range of options available in deciding what to do are narrowed or changed” (Ball in, Education policy and social class: (...) The selected works of Stephen J Ball, Routledge, London and New York, 2006 , p. 46), they need to be theoretically tackled in their underlying assumptions and implications. This proposal draws on an analysis of two sets of documents of the European Union: texts produced between 2000 and 2006, underlying the European Union programmes; and texts produced by a working group focusing on the key competences of Lifelong Learning (2003–2006). Initially, the framework for the analysis of different documents was grounded on the existing research in the field of educational policy. Now we attempt a secondary analysis of the collected data by transposing the borders of this particular and highly prolific field. We argue that what is outside the texts may reshape what is inside the texts. Educational theory allows us to define some conceptual tools in order to question the documents as political apparatus which open and constrain possibilities. Therefore, we will use educational theory as an arena where different matters, perspectives and possibilities may be explored and assembled. We have engaged in a conversation with both the data and some theoretical approaches. Central to this conversation are the concepts of “ignorant schoolmaster” (Rancière, in The ignorant schoolmaster five lessons in intellectual emancipation, Stanford University Press, Stanford, 1991 ), “learning contexts” (Edwards, in Rethinking contexts for learning and teaching, Routledge, Oxon and New York, 2009a , b ), and “experience” (Larrosa, in Revista Brasileira de Educação, 19:20–28, 2002 ). (shrink)

There is much to learn from and admire in Danielle Wenner's "Nondomination and the Limits of Relational Autonomy." The core claim Wenner advances is that the very concerns that have motivated feminist relational autonomy theorists would be better pursued by foregoing their concern with autonomy and pursuing instead the political aim of promoting a neorepublican conception of freedom as nondomination. While leaving open the possibility that "autonomy speak may remain valuable in some contexts", Wenner nevertheless claims that "for the purposes (...) of understanding and combating relations of oppression and subjection, freedom as nondomination provides a more useful conceptual apparatus than the ideal of... (shrink)

This volume has its already distant or1g1n in an inter national conference on Evolutionary Epistemology the editors organized at the University of Ghent in November 1984. This conference aimed to follow up the endeavor started at the ERISS (Epistemologically Relevant Internalist Sociology of Science) conference organized by Don Campbell and Alex Rosen berg at Cazenovia Lake, New York, in June 1981, whilst in jecting the gist of certain current continental intellectual developments into a debate whose focus, we thought, was in (...) danger of being narrowed too much, considering the still underdeveloped state of affairs in the field. Broadly speaking, evolutionary epistemology today con sists of two interrelated, yet qualitatively distinct inves tigative efforts. Both are drawing on Darwinian concepts, which may explain why many people have failed to discriminate them. One is the study of the evolution of the cognitive apparatus of living organisms, which is first and foremost the province of biologists and psychologists (H. C. Plotkin, Ed. , Learning, Development, and Culture: Essays in Evolu tionary Epistemology, New York, Wiley, 1984), although quite a few philosophers - professional or vocational - have also felt the need to express themselves on this vast subject (F. M. Wuketits, Ed. , Conce ts and Approaches in Evolutionary Epistemology, Dordrecht Boston, Reidel, 1984). The other approach deals with the evolution of science, and has been dominated hitherto by (allegedly) 'naturalized' philosophers; no book-length survey of this literature is available at present. (shrink)

The position advanced in this paper is that the bedrock of emotional feelings is contained within the evolved emotional action apparatus of mammalian brains. This dual-aspect monism approach to brain–mind functions, which asserts that emotional feelings may reflect the neurodynamics of brain systems that generate instinctual emotional behaviors, saves us from various conceptual conundrums. In coarse form, primary process affective consciousness seems to be fundamentally an unconditional “gift of nature” rather than an acquired skill, even though those systems facilitate (...) skill acquisition via various felt reinforcements. Affective consciousness, being a comparatively intrinsic function of the brain, shared homologously by all mammalian species, should be the easiest variant of consciousness to study in animals. This is not to deny that some secondary processes cannot be evaluated in animals with sufficiently clever behavioral learning procedures, as with place-preference procedures and the analysis of changes in learned behaviors after one has induced re-valuation of incentives. Rather, the claim is that a direct neuroscientific study of primary process emotional/affective states is best achieved through the study of the intrinsic , albeit experientially refined, emotional action tendencies of other animals. In this view, core emotional feelings may reflect the neurodynamic attractor landscapes of a variety of extended trans-diencephalic, limbic emotional action systems—including SEEKING, FEAR, RAGE, LUST, CARE, PANIC, and PLAY. Through a study of these brain systems, the neural infrastructure of human and animal affective consciousness may be revealed. Emotional feelings are instantiated in large-scale neurodynamics that can be most effectively monitored via the ethological analysis of emotional action tendencies and the accompanying brain neurochemical/electrical changes. The intrinsic coherence of such emotional responses is demonstrated by the fact that they can be provoked by electrical and chemical stimulation of specific brain zones—effects that are affectively laden. For substantive progress in this emerging research arena, animal brain researchers need to discuss affective brain functions more openly. Secondary awareness processes, because of their more conditional, contextually situated nature, are more difficult to understand in any neuroscientific detail. In other words, the information-processing brain functions, critical for cognitive consciousness, are harder to study in other animals than the more homologous emotional/motivational affective state functions of the brain. (shrink)

Since the time of Aristotle's students, interpreters have considered Prior Analytics to be a treatise about deductive reasoning, more generally, about methods of determining the validity and invalidity of premise-conclusion arguments. People studied Prior Analytics in order to learn more about deductive reasoning and to improve their own reasoning skills. These interpreters understood Aristotle to be focusing on two epistemic processes: first, the process of establishing knowledge that a conclusion follows necessarily from a set of premises (that is, on the (...) epistemic process of extracting information implicit in explicitly given information) and, second, the process of establishing knowledge that a conclusion does not follow. Despite the overwhelming tendency to interpret the syllogistic as formal epistemology, it was not until the early 1970s that it occurred to anyone to think that Aristotle may have developed a theory of deductive reasoning with a well worked-out system of deductions comparable in rigor and precision with systems such as propositional logic or equational logic familiar from mathematical logic. When modern logicians in the 1920s and 1930s first turned their attention to the problem of understanding Aristotle's contribution to logic in modern terms, they were guided both by the Frege-Russell conception of logic as formal ontology and at the same time by a desire to protect Aristotle from possible charges of psychologism. They thought they saw Aristotle applying the informal axiomatic method to formal ontology, not as making the first steps into formal epistemology. They did not notice Aristotle's description of deductive reasoning. Ironically, the formal axiomatic method (in which one explicitly presents not merely the substantive axioms but also the deductive processes used to derive theorems from the axioms) is incipient in Aristotle's presentation. Partly in opposition to the axiomatic, ontically-oriented approach to Aristotle's logic and partly as a result of attempting to increase the degree of fit between interpretation and text, logicians in the 1970s working independently came to remarkably similar conclusions to the effect that Aristotle indeed had produced the first system of formal deductions. They concluded that Aristotle had analyzed the process of deduction and that his achievement included a semantically complete system of natural deductions including both direct and indirect deductions. Where the interpretations of the 1920s and 1930s attribute to Aristotle a system of propositions organized deductively, the interpretations of the 1970s attribute to Aristotle a system of deductions, or extended deductive discourses, organized epistemically. The logicians of the 1920s and 1930s take Aristotle to be deducing laws of logic from axiomatic origins; the logicians of the 1970s take Aristotle to be describing the process of deduction and in particular to be describing deductions themselves, both those deductions that are proofs based on axiomatic premises and those deductions that, though deductively cogent, do not establish the truth of the conclusion but only that the conclusion is implied by the premise-set. Thus, two very different and opposed interpretations had emerged, interestingly both products of modern logicians equipped with the theoretical apparatus of mathematical logic. The issue at stake between these two interpretations is the historical question of Aristotle's place in the history of logic and of his orientation in philosophy of logic. This paper affirms Aristotle's place as the founder of logic taken as formal epistemology, including the study of deductive reasoning. A by-product of this study of Aristotle's accomplishments in logic is a clarification of a distinction implicit in discourses among logicians--that between logic as formal ontology and logic as formal epistemology. (shrink)

In three studies, we explored the retention and transfer of tool-making knowledge, learnt from an adult demonstration, to other temporal and task contexts. All studies used a variation of a task in which children had to make a hook tool to retrieve a bucket from a tall transparent tube. Children who failed to innovate the hook tool independently saw a demonstration. In Study 1, we tested children aged 4 to 6 years (N = 53) who had seen the original demonstration (...) 3 months earlier. Performance was excellent at the second time, indicating that children’s knowledge was retained over the 3 month period. In Studies 2 and 3 we explored transfer of the new knowledge to other tasks. In Study 2, children were given two variants of the apparatus that differed in surface characteristics (e.g. shape and colour). Participants generalised their knowledge to these new apparatuses even though the new pipecleaner also differed in size and colour. Five- to 6-year-olds (n = 22) almost always transferred their knowledge to problems where the same tool had to be made. Younger, 3- to 5-year-olds’ (n = 46), performance was more variable. In Study 3, 4- to 7-year-olds (N = 146) saw a demonstration of hook making with a pipecleaner, but then had to make a tool by combining pieces of wooden dowel (or vice versa: original training on dowel, transfer to pipecleaner). Children did not transfer their tool-making knowledge to the new material. Children retained tool-making knowledge over time and transferred their knowledge to new situations in which they needed to make a similar tool from similar materials, but not different materials. We concluded that children’s ability to use tool-making knowledge in novel situations is likely to depend on memory and analogical reasoning, with the latter continuing to develop during middle childhood. (shrink)

Two variables are usually recognised as determinants of human causal learning: the contingency between a candidate cause and effect, and the temporal and/or spatial contiguity between them. A common finding is that reductions in temporal contiguity produce concomitant decrements in causal judgement. This finding had previously (Shanks & Dickinson, 1987) been interpreted as evidence that causal induction is based on associative learning processes. Buehner and May (2002, 2003, 2004) have challenged this notion by demonstrating that the impact of (...) temporal delay depends on expectations about the timeframe between cause and effect. A corollary of this knowledge-mediation account is that in certain situations longer delays could facilitate, while shorter delays should impair, causal learning. Here we present two experiments involving a physical apparatus that demonstrate a detrimental effect of contiguity under certain conditions. In contrast to all previous studies, delays universally promoted causal learning. This evidence is clearly at variance with the notion of a bottom-up contiguity bias in causal induction. A new, more general timeframe bias is discussed. (shrink)

Euclidean geometry, statics, and classical mechanics, being in some sense the simplest physical theories based on a full-fledged mathematical apparatus, are well suited to a historico-philosophical analysis of the way in which a physical theory differs from a purely mathematical theory. Through a series of examples including Newton’s Principia and later forms of mechanics, we will identify the interpretive substructure that connects the mathematical apparatus of the theory to the world of experience. This substructure includes models of experiments, (...) models of measurement, and modular connections with partial theories. It evolves during the life of a theory as physicists learn how to apply it in various contexts. It should nevertheless be regarded as an integral part of a genuine physical theory since the theory would otherwise degenerate into pure mathematics. (shrink)

Darwin’s theory predicts that linguistic behavior gradually evolved out of animal forms of communication. However, this prediction is confronted by the conceptual problem that there is an essential difference between signaling and linguistic behavior: using words is a normative practice. It is argued that we can resolve this problem if we note that language evolution is the outcome of an evolutionary transition, and observe that the use of words evolves during ontogenesis out of babbling. It is discussed that language evolved (...) as the result of an expansion of the vocalizing powers of our ancestors. This involved an increase in the volitional control of our speech apparatus, but also the evolution of socially guided learning. It resulted in unique human abilities, namely doing things with words and later reasoning and giving reasons. (shrink)

In this article, Stephanie Daza draws on Gayatri Spivak's theorizing to help make visible how education is shaped by an elusive conceptual apparatus of neoliberal scientism. She begins with an example of high-stakes learning and global competition as commonsensical policy practice at an elementary school. Then Daza develops an analysis that shows the possibilities of a Spivakian theoretical approach as an interpretive practice for education, and teacher education specifically.

Imagine you suddenly find yourself in the control room of a vast technological apparatus, sometime in the future, where you are told that science has satisfied all the needs of all living humans. Furthermore, you learn, the next generation of the species will not be produced in the usual way, but instead by this machine, provided only that somebody push a little red button. The catch: you have to give a reason for pushing it. You hesitate: what do you (...) say? Our own world is more like this scenario than we at first may be inclined to admit, not least in the fact that, mutatis mutandis, we seem to be struggling to come up with a good answer. The problem, says Rémi Brague, is fundamentally a metaphysical one. Now, mention of 'metaphysics' in decent society these days is likely to elicit a smile or an unimpressed shrug. If there is a shelf with that label on it in your typical bookstore you are as likely to find guides to crystals, chakras, or hemp care there as you are treatises by Aristotle, Aquinas, or Kant. And, in spite of the ongoing revival of academic interest in metaphysics, it remains a rather specialist domain, a marginal sub-discipline in departments of philosophy, be they analytical or continental in cast. But if you should take it too seriously, you'll lose your bearings in the real world, and you'll go adrift in some ethereal sea of dreams. It is, in a word, irrelevant--right? (shrink)

In a time of big data, thinking about how we are seen and how that affects our lives means changing our idea about who does the seeing. Data produced by machines is most often ‘seen’ by other machines; the eye is in question is algorithmic. Algorithmic seeing does not produce a computational panopticon but a mechanism of prediction. The authority of its predictions rests on a slippage of the scientific method in to the world of data. Data science inherits some (...) of the problems of science, especially the disembodied ‘view from above’, and adds new ones of its own. As its core methods like machine learning are based on seeing correlations not understanding causation, it reproduces the prejudices of its input. Rising in to the apparatuses of governance, it reinforces the problematic sides of ‘seeing like a state’ and links to the recursive production of paranoia. It forces us to ask the question ‘what counts as rational seeing?’. Answering this from a position of feminist empiricism reveals different possibilities latent in seeing with machines. Grounded in the idea of conviviality, machine learning may reveal forgotten non-market patterns and enable free and critical learning. It is proposed that a programme to challenge the production of irrational pre-emption is also a search for the possibility of algorithmic conviviality. (shrink)

Contemporary mainstream economics cannot be seen as disconnected from philosophical concerns. On the contrary, it should be understood as a defence for a specific philosophy, namely, crude quantitative hedonism where money would measure pleasure and pain. Disguised among a great mathematical apparatus involving utility functions, supply, and demand, lies a specific hedonist philosophy that every year is lectured to thousands of economic and business students around the world. This hedonist philosophy is much less sophisticated than that in ancient hedonist (...) philosophers as Epicurus or Lucretius. Furthermore, it does not solve any of the systematic difficulties regularly faced by hedonist philosophy. However, the argument that economics is detached from philosophy works as a rhetorical artifice to protect its dominant underlying philosophy: Philosophical disputes would have to be addressed within the biased mathematical apparatus of quantitative hedonism. Economists and business students must learn to identify the underlying philosophy in mainstream economics and alternative philosophical systems. (shrink)

It is clear that we have to do something in our time concerning global warming yet before we can actually change the world, we must first understand our world. According to Heidegger, technology itself is not good or bad, but the problem is, that technological thinking (calculative thinking) has become the only form of thinking. Heidegger saw that the essence of technology nowadays is enframing – Ge-stell, which means that everything in nature is ‘standing-reserve’ (Bestand). Enframing (as apparatus) is (...) one way of uncovering, which for Heidegger meant truth. Truth can appear in many ways and the danger is that this truth of representational-calculative thinking becomes the only truth. We claim that the calculative way of thinking must be changed and we posit that Gelassenheit (slow thinking, releasement, letting-go) is the remedy. It does not mean some kind of mysticism or irrationality. The notion of Gelassenheit includes the idea of to let learn. We as teachers and educators have to learn how to think outside of the technological ‘Ge-stell’ and start thinking and acting in radically new ways. Like Arne Naes and Michael Zimmerman we connect the overcoming of technological ‘Ge-stell’ with so called deep ecology. We have to ‘learn to think’ and act within the deep ecology. We call for an educational ecological imperative. Every teacher and educationalist has to think what they can do (not as private person but as professionals) in order to prevent the coming eco-catastrophe. (shrink)

As machines have become increasingly smart and have entangled human thinking with artificial intelligences, it seems no longer possible to distinguish among levels of decision-making that occur in the newly formed space between critical reasoning, logical inference and sheer calculation. Since the 1980s, computational systems of information processing have evolved to include not only deductive methods of decision, whereby results are already implicated in their premises, but have crucially shifted towards an adaptive practice of learning from data, an inductive (...) method of retrieving information from the environment and establishing general premises. This shift in logical methods of decision-making does not simply concern technical apparatuses, but is a symptom of a transformation in logical thinking activated with and through machines. This article discusses the pioneering work of Katherine Hayles, whose study of the cybernetic and computational infrastructures of our culture particularly clarifies this epistemological transformation of thinking in relation to machines. (shrink)

Feminist scholarship has increasingly turned towards the ocean as a conceptual apparatus in which to think through the complex philosophical and ethical dilemmas of the Anthropocene. Responding to the ebbs, flows and transformations of the oceanic turn, our article outlines our interactions with four decorator crabs. It begins by situating our experience of thinking-with these crabs as a feminist practice of care within the conceptual context of the ocean. Our article then draws on the knowledge that arose out of (...) our fertile entanglements with the crabs to propose that: 1) the aquarium, with its colonial histories of subjugation, is a fertile space to re-image human–aquatic relationalities, revealing the fallacy of human control over ‘nature’ and emphasising the agency of marine worlds; 2) Stacy Alaimo’s concept of trans-corporeality is a powerful way to think through the consequences of an acidifying ocean, both for ourselves and for our shelled companions; and 3) remediation is a radical approach to taking seriously the materiality of watery worlds. The objective of the article is to craft a practice of material feminism that entangles our more-than-human bodies to learn-with decorator crabs. In doing so, we show that the aquarium is a potent space of transformation that allows us to imagine new and distinctly feminist entanglements that dismantle hierarchies. We show that thinking-with the materiality of marine worlds is a series of remediations, both material and discursive, that dissolve the boundaries between entities, creating an embodied environmental ethics that is necessary as a feminist challenge to the Anthropocene. (shrink)

This article introduces the special section on the contribution of Jack Goody, which focuses on The Theft of History. Goody attacks the notion of a radical division between Europe and Asia, which has become built into the commonsense academic wisdom and categorical apparatus of the social sciences and humanities. Eurocentrism is a constant target as he scrutinizes and finds wanting the claims of the West to have invented modern science, cultural renaissances, the free city, capitalism, democracy, love and secularism. (...) Goody’s approach favours a dynamic long-term basis for comparisons between societies and focuses on the exchange of information and goods across Eurasia to argue that the comparative advantage one society gains has been only temporary, swinging between different parts of Eurasia a number of times over the millennia. Goody suggests that China developed an active mercantile urban culture before Europe. Cities and towns with their mixture of luxury and learning, should not be seen as inevitably subordinate to centralized power structures in both eastern and western Eurasia. Goody criticizes the theoretical assumptions and the handling of evidence of Perry Anderson, Fernand Braudel, Norbert Elias, Moses Finlay, David Landes, Karl Marx, Joseph Needham, Immanuel Wallerstein and Max Weber. His concern is that the master categories of world history, such as antiquity, feudalism and capitalism, have been developed against a background of the particular European trajectory, then projected onto the world at large. Goody remains sceptical, not just about eurocentrism, but also the additional danger of being eurocentric about ethnocentricity, which he regards as a trap that postcolonialism and postmodernism frequently fall into. (shrink)