As far as ‘modern’ logical theories of vagueness are concerned, a main distinction can be drawn between ‘semantical’ ones and ‘pragmatical’ ones. The latter are defended here, because they tend to retake into account important contextual dimensions of the problem abandoned by the former. Their inchoate condition seems not alarming, since they are of surprisingly recent date. This, however, could very well be an accidental explanation. That is, the true reason for it might sooner or later turn out to be (...) bearing exactly on the fundamental human limitations, when it comes to theorizing, that these approaches are urging us to appreciate. (shrink)

RÉSUMÉ: Le but de cet article est de réexaminer et de raffiner l’analyse proposée par Twardowski de la logique des adjectifs. J’essaierai de montrer que l’analyse de Twardowski peut-être améliorée et renforcée. Les résultats de cette discussion pourront être pertinents pour tous ceux qui s’intéressent à la logique de la détermination des noms ou, plus généralement, à celle des groupes de mots.

Over the past twenty-five years, or so, considerable advances have been made in understanding how learning occurs in the brain, though much of this research is still to make its way into education. One contribution it should be making is to furnish the philosophical critique of past and current theory with supporting empirical evidence. For example, motivation theory and its cognate expectancy-value theory continue to be taught in teacher education, even though their rational cognitivist foundations are philosophically shaky, and their (...) shared representational notion of the mind is incompatible with what is now known about the learning brain. Furthermore, the central claim of motivation theory that children need to be motivated in order to learn is educationally problematic, not least because it incorporates a deficit model of the child as learner. This paper provides a philosophical and educational critique of motivation and expectancy-value theories and begins to sketch out an alternative dynamic systems approach, which argues that value is deeply embedded in the learning process, not only in the value students may or may not attach to their learning, but also neurobiologically. In opposition to motivation and its notion of the learner this paper argues that every student is equipped with a brain that is value-orientated towards learning and will learn, when nested in suitably affordant learning environments. In place of expectancy-value, we argue for value-embedded learning, which provides a non-reductive and biologically plausible account of how value and emotional salience are dynamically interwoven in the learning process. (shrink)

This paper considers the potentially important role played by non-verbal communication in constraining pragmatic processing. Attention is paid to claims about the role of emotion in memory encoding and recall, its role in the formulation of plans and goals, and the creation of a shared emotional sense through various interpersonal processes. It is argued that ignoring these factors can lead to pragmatic theories which overestimate the processing demands facing the conversationalist, and that this overestimation will be problematic for any systems (...) which seek to build on these theories in the future. (shrink)

In this paper I attempt to dissolve two confused ideas inherent in scientific studies of learning: That the locus of learning processes lies hidden inside the mind/brain, and also that this putatively hidden phenomenon causes learned actions. I attempt this dissolution through conceptual argument and data analysis, first by contrasting the use of the concept ‘learning’ in ordinary and scientific interaction, followed by a Wittgenstein-inspired conversation analysis of a micro-longitudinal case of learning interaction — a biochemist teaching lab techniques to (...) a technician — in order to demonstrate that learning processes are inherently social. I conclude that the scientific view of learning processes as hidden is misconceived through its misuse of the concept “learning”. The empirical results demonstrate that learning processes are indeed public and manifest in an indefinite number of forms, and whatever may be found in the brain associated with learning are concomitant factors, not learning itself. (shrink)

One of the most debated questions in psychology and cognitive science is the nature and the functioning of the mental processes involved in deductive reasoning. However, all existing theories refer to a specific deductive domain, like syllogistic, propositional or relational reasoning.Our goal is to unify the main types of deductive reasoning into a single set of basic procedures. In particular, we bring together the microtheories developed from a mental models perspective in a single theory, for which we provide a formal (...) foundation. We validate the theory through a computational model (UNICORE) which allows fine‐grained predictions of subjects' performance in different reasoning domains.The performance of the model is tested against the performance of experimental subjects—as reported in the relevant literature—in the three areas of syllogistic, relational and propositional reasoning. The computational model proves to be a satisfactory artificial subject, reproducing both correct and erroneous performance of the human subjects. Moreover, we introduce a developmental trend in the program, in order to simulate the performance of subjects of different ages, ranging from children (3–6) to adolescents (8–12) to adults (>21). The simulation model performs similarly to the subjects of different ages.Our conclusion is that the validity of the mental model approach is confirmed for the deductive reasoning domain, and that it is possible to devise a unique mechanism able to deal with the specific subareas. The proposed computational model (UNICORE) represents such a unifying structure. (shrink)

This paper discusses the epistemic status of biology from the standpoint of the systemic approach to living systems based on the notion of biological autonomy. This approach aims to provide an understanding of the distinctive character of biological systems and this paper analyses its theoretical and epistemological dimensions. The paper argues that, considered from this perspective, biological systems are examples of emergent phenomena, that the biological domain exhibits special features with respect to other domains, and that biology as a discipline (...) employs some core concepts, such as teleology, function, regulation among others, that are irreducible to those employed in physics and chemistry. It addresses the claim made by Jacques Monod that biology as a science is marginal. It argues that biology is general insofar as it constitutes a paradigmatic example of complexity science, both in terms of how it defines the theoretical object of study and of the epistemology and heuristics employed. As such, biology may provide lessons that can be applied more widely to develop an epistemology of complex systems. (shrink)