Axel Stern; VI—Truth—A New Approach, Proceedings of the Aristotelian Society, Volume 65, Issue 1, 1 June 1965, Pages 99–122, https://doi.org/10.1093/aristotelia.

Axel Stern; VI—Truth—A New Approach, Proceedings of the Aristotelian Society, Volume 65, Issue 1, 1 June 1965, Pages 99–122, https://doi.org/10.1093/aristotelia.

Traditional frameworks for evaluating scientific models have tended to downplay their exploratory function; instead they emphasize how models are inherently intended for specific phenomena and are to be judged by their ability to predict, reproduce, or explain empirical observations. By contrast, this paper argues that exploration should stand alongside explanation, prediction, and representation as a core function of scientific models. Thus, models often serve as starting points for future inquiry, as proofs of principle, as sources of potential explanations, and as (...) a tool for reassessing the suitability of the target system. This is illustrated by a case study of the varied career of reaction-diffusion models in the study of biological pattern formation, which was initiated by Alan Turing in a classic 1952 paper. Initially regarded as mathematically elegant, but biologically irrelevant, demonstrations of how, in principle, spontaneous pattern formation could occur in an organism, such Turing models have only recently rebounded, thanks to advances in experimental techniques and computational methods. The long-delayed vindication of Turing’s initial model, it is argued, is best explained by recognizing it as an exploratory tool. (shrink)

Consciousness has many elements, from sensory experiences such as vision and bodily sensation, to nonsensory aspects such as memory and thought. All are presented as experiences of a single subject, and all seem to be contained within a unified field of experience. This unity raises many questions: How do diverse systems in the brain co-operate to produce a unified experience? Are there conditions under which this unity breaks down? Is conscious experience really unified at all? Such questions are addressed in (...) this thought-provoking book. (shrink)

In this pathbreaking study, Axel Honneth argues that "the struggle for recognition" is, and should be, at the center of social conflicts. Moving smoothly between moral philosophy and social theory, Honneth offers insights into such issues as the social forms of recognition and nonrecognition, the moral basis of interaction in human conflicts, the relation between the recognition model and conceptions of modernity, the normative basis of social theory, and the possibility of mediating between Hegel and Kant.

The System of Pragmatic Idealism is of special importance for Nicholas Rescher's philosophical work, because here he has presented the systematic approach at once. Dedicated to his 70th birthday a group of European and U.S-american philosophers discuss the main topics of Rescher's philosophical system. The contributions which are presented here for the first time and Nicholas Rescher's responses cover the most important topics of philosophy and give a deep and detailed insight into the strenght of Rescher's pragmatic idealism. This volume (...) is of interest for philosophers studying Rescher's philosophy and for all those who are interested in systematic philosophy and the vividnes of pragmatism and idealism in present philosophy. (shrink)

Kim’s causal exclusion argument purports to demonstrate that the non-reductive physicalist must treat mental properties (and macro-level properties in general) as causally inert. A number of authors have attempted to resist Kim’s conclusion by utilizing the conceptual resources of Woodward’s interventionist conception of causation. The viability of these responses has been challenged by Gebharter, who argues that the causal exclusion argument is vindicated by the theory of causal Bayesian networks (CBNs). Since the interventionist conception of causation relies crucially on CBNs (...) for its foundations, Gebharter’s argument appears to cast significant doubt on interventionism’s anti-reductionist credentials. In the present article, we both (1) demonstrate that Gebharter’s CBN-theoretic formulation of the exclusion argument relies on some unmotivated and philosophically significant assumptions (especially regarding the relationship between CBNs and the metaphysics of causal relevance), and (2) use Bayesian networks to develop a general theory of causal inference for multi-level systems that can serve as the foundation for an anti-reductionist interventionist account of causation.1. (shrink)

I argue that joint attention solves the “base problem” as it arises for Schiffer’s and Lewis’s theories of common knowledge. The problem is that an account is needed of the perceptual base of some forms of common knowledge that gets by without itself invoking common knowledge. The paper solves the problem by developing a theory of joint attention as consisting in the exercise of joint know-how involving particular and sometimes distal targets and arguing that certain joint perceivers can always have (...) a minimal form of propositional common knowledge about the location of these targets. On such a view, perceptual common knowledge is based on the experience of a process that is maintained by way of perceivers’ exercise of an object-involving form of joint know-how. Some reductive theories of collective intentionality require that agents’ intentions and subplans are common knowledge (or “out in the open”) between them. For these theories the base problem arises again. The enacted theory of joint attention can solve the problem. The argument is exactly parallel to the common knowledge case. The openness of joint agents’ intentions and meshing subplans is explained by appeal to their practical knowledge of how to maintain the process by way of which they pursue the collective intention. They can then make this knowledge explicit by linguistic communication. When they succeed in communicating knowledge of their meshing subplans as pursued in a joint action context, they necessarily have this knowledge in common. For theories of collective intentionality that include a common knowledge condition, the experience of participating in a perceptually constituted joint action provides the base that renders harmless the regress that otherwise threatens reductive analyses. (shrink)

69 Thompson-Schill, S.L. _et al. _(1997) Role of left inferior prefrontal cortex 59 Buckner, R.L. _et al. _(1996) Functional anatomic studies of memory in retrieval of semantic knowledge: a re-evaluation _Proc. Natl. Acad._ retrieval for auditory words and pictures _J. Neurosci. _16, 6219–6235 _Sci. U. S. A. _94, 14792–14797 60 Buckner, R.L. _et al. _(1995) Functional anatomical studies of explicit and 70 Baddeley, A. (1992) Working memory: the interface between memory implicit memory retrieval tasks _J. Neurosci. _15, 12–29 and cognition (...) _J. Cogn. Neurosci. _4, 281–288 61 Bäckman, L. _et al. _(1997) Brain activation in young and older adults 71 Petrides, M. (1994) Frontal lobes and behavior _Curr. Opin. Neurobiol._ during implicit and explicit retrieval _J. Cogn. Neurosci. _9, 378–391. (shrink)

This paper develops a theory of joint attention as based on, and explicable in terms of, the exercise of a minimal kind of perceptual joint know-how. On the action-based view I shall be developing, joint forms of perception are object-involving processes constituted by perceivers’ skillfully co-ordinated motor movements in social space. Joint experience can then be understood as presenting the process to the involved perceivers and joint attention as perceivers’ focus on the object of this process. This theory reconciles at (...) least some primitivist and reductionist intuitions about joint attention. (shrink)

Taking scientific practice as its starting point, this book charts the complex territory of models used in science. It examines what scientific models are and what their function is. Reliance on models is pervasive in science, and scientists often need to construct models in order to explain or predict anything of interest at all. The diversity of kinds of models one finds in science – ranging from toy models and scale models to theoretical and mathematical models – has attracted attention (...) not only from scientists, but also from philosophers, sociologists, and historians of science. This has given rise to a wide variety of case studies that look at the different uses to which models have been put in specific scientific contexts. By exploring current debates on the use and building of models via cutting-edge examples drawn from physics and biology, the book provides broad insight into the methodology of modelling in the natural sciences. It pairs specific arguments with introductory material relating to the ontology and the function of models, and provides some historical context to the debates as well as a sketch of general positions in the philosophy of scientific models in the process. (shrink)

Implicit learning is the process through which we become sensitive to certain regularities in the environment (1) in the absence of intention to learn about those regularities (2) in the absence of awareness that one is learning, and (3) in such a way that the resulting knowledge is difficult to express.

Though to deny the geological impact of human force on nature is now essentially quasi-criminal, many theorists remain, nonetheless, unimpressed with what this “new era” has afforded us in terms of critical potential. This article is concerned with what Srinivas Aravamudan deems “the escapist philosophy of various dimension of the hypothesis concerning the Anthropocene.” Following Erik Swyngedouw's indictment of apocalyptic discourses' vital role in displacing social antagonisms and nurturing capitalism, this article argues that the new regimes of Anthropocenean consciousness have (...) been powerful in disavowing racial antagonisms. It discusses the ways in which Anthropocene ethics have foreclosed proper political framings by promoting a moral philosophy unequipped to face the racial histories of our current ecological predicament. It contends that the “political Anthropocene” will remain an impossibility until it is able to wrestle with the problem of black suffering. (shrink)

The first book since Coady's 1992 'Testimony: A Philosophical Study' to offer a thorough survey and a philosophical introduction to testimony and its epistemological problems, while at the same time advancing a novel view that proposes independent justificatory pathways for the acceptance and rejection of testimony, respectively. // Table of Contents: // Introduction / 1. What is Testimony? / 2. The Testimonial Conundrum / 3. Testimony, Perception, Memory, and Inference / 4. Testimony and Evidence / 5. Reductionism and Anti-Reductionism / (...) 6. Hybrid Theories of Testimony / 7. Testimonial Knowledge: Transmission and Generation / 8. Trust and Assurance / 9. Expert Testimony / 10. Pathologies of Testimony / 11. Testimony and the Value of Knowledge / Glossary / Bibliography / Index. (shrink)

Over the past few years numerous proposals have appeared that attempt to characterize consciousness in terms of what could be called its computational correlates: Principles of information processing with which to characterize the differences between conscious and unconscious processing. Proposed computational correlates include architectural specialization (such as the involvement of specific regions of the brain in conscious processing), properties of representations (such as their stability in time or their strength), and properties of specific processes (such as resonance, synchrony, interactivity, or (...) information integration). In exactly the same way as one can engage in a search for the neural correlates of consciousness, one can thus search for the computational correlates of consciousness. The most direct way of doing is to contrast models of conscious versus unconscious information processing. In this paper, I review these developments and illustrate how computational modeling of specific cognitive processes can be useful in exploring and in formulating putative computational principles through which to capture the differences between conscious and unconscious cognition. What can be gained from such approaches to the problem of consciousness is an understanding of the function it plays in information processing and of the mechanisms that subtend it. Here, I suggest that the central function of consciousness is to make it possible for cognitive agents to exert ?exible, adaptive control over behavior. From this perspective, consciousness is best characterized as involving (1) a graded continuum de?ned over quality of representation, such that availability to consciousness and to cognitive control correlates with properties of representation, and (2) the implication of systems of meta-representations. (shrink)

Comparing the relative sensitivity of direct and indirect measures of learning is proposed as the best way to provide evidence for unconscious learning when both conceptual and operative definitions of awareness are lacking. This approach was first proposed by Reingold & Merikle (1988) in the context of subliminal perception. In this paper, we apply it to a choice reaction time task in which the material is generated based on a probabilistic finite-state grammar (Cleeremans, 1993). We show (1) that participants progressively (...) learn about the statistical structure of the stimulus material over training with the choice reaction time task, and (2) that they can use some of this knowledge to predict the location of the next stimulus in a subsequent “generation” task. However, detailed partial correlational analyses of the correspondence between performance during the reaction time task and the statistical structure of the training material showed that large effects remained even when controlling for explicit knowledge as assessed by the generation task. Hence we conclude (1) that at least some of the knowledge expressed through reaction time performance can not be characterized as conscious, and (2) that even when associations are found at a global level of analysis, dissociations can still be obtained when more detailed analyses are conducted. Finally, we also show that participants are limited in the depth of the contingencies they can learn about, and that these limitations are shared by the Simple Recurrent Network model of Cleeremans & McClelland (1991). (shrink)

Cognitive niche construction is the process whereby organisms create and maintain cause–effect models of their niche as guides for fitness influencing behavior. Extended mind theory claims that cognitive processes extend beyond the brain to include predictable states of the world. Active inference and predictive processing in cognitive science assume that organisms embody predictive (i.e., generative) models of the world optimized by standard cognitive functions (e.g., perception, action, learning). This paper presents an active inference formulation that views cognitive niche construction as (...) a cognitive function aimed at optimizing organisms' generative models. We call that process of optimization extended active inference. (shrink)

This essay presents a novel approach to specifying the meaning of the concept of populism, on the political position it occupies and on the nature of populism. Employing analytic techniques of concept clarification and recent analytic ideology critique, it develops populism as a political kind in three steps. First, it descriptively specifies the stereotype of populist platforms as identified in extant research and thereby delimits the peculiar political position populism occupies in representative democracies as neither inclusionary nor fascist. Second, it (...) specifies on this basis analytically–normatively the particular stance towards liberal representative democracy (in particular towards popular sovereignty and democratic legitimacy) that unifies populism’s political position and explains how populist politics can be compelling for democratic citizens. The normative core (populist ideology) turns out to require no more than two general principles of legitimizing political authority by elections. Surprisingly, it does not need a separate anti-pluralist or exclusionary commitment: it entails it. Third, this normative model allows a response to a contested question in the theoretical discussion, namely, whether populism (properly specified) can be democracy-enhancing. The article defends the negative answer in virtue of the normative core alone and does so as much vis-à-vis a minimal (purely electoral) as vis-à-vis a normatively ambitious (liberal) conception of democracy. The reconstruction of the normative core of populist ideology enables a novel argument to show that populism is incompatible with the continued democratic legitimation of political authority even in the normatively most austere conception of ‘electoral democracy’, not just with ‘liberal democracy’. Assuming a normatively more ambitious concept of democratic legitimation in terms of political autonomy, the model also produces an extremely direct argument showing that populists cannot fulfil their promise of ‘taking back control’ over political decision-making to the population. (shrink)

What do people learn when they do not know that they are learning? Until recently, all of the work in the area of implicit learning focused on empirical questions and methods. In this book, Axel Cleeremans explores unintentional learning from an information-processing perspective. He introduces a theoretical framework that unifies existing data and models on implicit learning, along with a detailed computational model of human performance in sequence-learning situations.

In evolutionary biology, niche construction is sometimes described as a genuine evolutionary process whereby organisms, through their activities and regulatory mechanisms, modify their environment such as to steer their own evolutionary trajectory, and that of other species. There is ongoing debate, however, on the extent to which niche construction ought to be considered a bona fide evolutionary force, on a par with natural selection. Recent formulations of the variational free-energy principle as applied to the life sciences describe the properties of (...) living systems, and their selection in evolution, in terms of variational inference. We argue that niche construction can be described using a variational approach. We propose new arguments to support the niche construction perspective, and to extend the variational approach to niche construction to current perspectives in various scientific fields. (shrink)

In this article, I elucidate the significance of Heidegger’s ‘question of being’ from a topological point of view by explaining the relationship between his thought of place and language. After exploring various hermeneutic strategies of reading Heidegger’s oeuvre, I turn to Richard Capobianco’s interpretation of Heidegger and critically engage with his idea of the experience of being itself as the ‘luminous selfshowing of logos’. In doing so, I explain the later turn from ‘truth’ to ‘place’ and articulate why logos needs (...) to be conceived as the gathering site of the presencing of being. In arguing against the primacy of passive receptivity and active projection, I put forward the primacy of language as the topos and logos of being. In returning to the Capobianco-Sheehan debate, I conclude by explaining why Heidegger’s placerelated notions cannot be thought metaphorically. (shrink)