Christopher Mole

Once we have distinguished between beauty and aesthetic value, we are faced with the question of whether beauty is a thing of value in itself. A number of theorists have suggested that the answer might be no. They have thought that the pursuit of beauty is just the indulgence of one particular taste: a taste that has, for contingent historical reasons, been privileged. This paper attempts to resist a line of thought that leads to that conclusion. It does so by arguing that there really are objective facts about beauty. To do this, the paper draws distinctions between objectivity and subjectivity, and between realism and anti-realism. It argues that, regarding attributions of beauty, we should be realists and objectivists. This is shown to be compatible with taking the semantic content of such attributions to vary between contexts. This form of context sensitivity is able to account of those features of beauty-attributions that have been taken as evidence for its subjectivity.

The use of brain scanning now dominates the cognitive sciences, but important questions remain to be answered about what, exactly, scanning can tell us. One corner of cognitive science that has been transformed by the use of neuroimaging, and that a scanning enthusiast might point to as proof of scanning's importance, is the study of face perception. Against this view, we argue that the use of scanning has, in fact, told us rather little about the information processing underlying face perception and that it is not likely to tell us much more

Attention has been studied in cognitive psychology for more than half a century, but until recently it was largely neglected in philosophy. Now, however, attention has been recognized by philosophers of mind as having an important role to play in our theories of consciousness and of cognition. At the same time, several recent developments in psychology have led psychologists to foundational questions about the nature of attention and its implementation in the brain. As a result there has been a convergence of interest in fundamental questions about attention. This volume presents the latest thinking from the philosophers and psychologists who are working at the interface between these two disciplines. Its fourteen chapters contain detailed philosophical and scientific arguments about the nature and mechanisms of attention; the relationship between attention and consciousness; the role of attention in explaining reference, rational thought, and the control of action; the fundamental metaphysical status of attention, and the details of its implementation in the brain. These contributions combine ideas from phenomenology, neuroscience, cognitive psychology, and philosophy of mind to further our understanding of this centrally important mental phenomenon, and to bring to light the foundational questions that any satisfactory theory of attention will need to address. (from OUP website)

This article argues against the non-cognitivist theory of vision that has been formulated in the work of Nico Orlandi. It shows that, if we understand ‘representation’ in the way Orlandi recommends, then the visual system’s response to abstract regularities must involve the formation of representations. Recent experiments show that those representations must be used by the visual system in the production of visual experiences. Their effects cannot be explained by taking them to be non-visual effects involving attention or memory. This contradicts Orlandi’s version of the non-cognitivist hypothesis, but does so while vindicating her methodological position

It has recently become popular to suggest that cognition can be explained as a process of Bayesian prediction error minimization. Some advocates of this view propose that attention should be understood as the optimization of expected precisions in the prediction-error signal (Clark, 2013, 2016; Feldman & Friston, 2010; Hohwy, 2012, 2013). This proposal successfully accounts for several attention-related phenomena. We claim that it cannot account for all of them, since there are certain forms of voluntary attention that it cannot accommodate. We therefore suggest that, although the theory of Bayesian prediction error minimization introduces some powerful tools for the explanation of mental phenomena, its advocates have been wrong to claim that Bayesian prediction error minimization is ‘all the brain ever does’.