Our aim in the present paper is to approach the nature of life from the perspective of autonomy, showing that this perspective can be helpful for overcoming the traditional Cartesian gap between the physical and cognitive domains. We first argue that, although the phenomenon of life manifests itself as highly complex and multidimensional, requiring various levels of description, individual organisms constitute the core of this multifarious phenomenology. Thereafter, our discussion focuses on the nature of the organization of individual living entities, proposing autonomy as the main concept to grasp it. In the second part of the article we show how autonomy is also fundamental to explaining major evolutionary transitions, in an attempt to rethink evolution from the point of view of the organizational structure of the entities/organisms involved. This gives further support to the idea of autonomy not only as a key to understanding life in general but also the complex expressions of it that we observe on our planet. Finally, we suggest a possible general principle that underlies those evolutionary transitions, which allow for the open-ended redefinition of autonomous systems: namely, the relative dynamic decoupling that must be articulated among distinct parts, modules or modes of operation in these systems.

Key words: Autonomy, Function, Agency, Evolutionary transitions, Dynamic decoupling

The paper unfolds in three stages. In the first, we briefly review some current work in the study of color vision. This view will then be taken to a critical limit in the second stage, through what we like to call the comparative argument. It purports to demonstrate the mode in which color vision is an ecologically embedded activity rather a form of information processing. We warn the reader immediately that we do not construe this in any way as a form of subjectivist view that color is a type of sensation, nor as a Lockean view that color is a form of secondary disposition. The comparative argument, we argue, allows to go beyond both those classical positions. This is done in the third and final part where we layout an enactive view of color.

In this paper we will demonstrate that a computational system can meet the criteria for autonomy laid down by classical enactivism. The two criteria that we will focus on are operational closure and structural determinism, and we will show that both can be applied to a basic example of a physically instantiated Turing machine. We will also address the question of precariousness, and briefly suggest that a precarious Turing machine could be designed. Our aim in this paper is to challenge the assumption that computational systems are necessarily heteronomous systems, to try and motivate in enactivism a more nuanced and less rigid conception of computational systems, and to demonstrate to computational theorists that they might find some interesting material within the enactivist tradition, despite its historical hostility towards computationalism.

Key words: enactivism, computationalism, closure, autonomy, autopoietic theory.

Recent work in cognitive and computational neuroscience depicts the human cortex as a multi-level prediction engine. This ‘predictive processing’ framework shows great promise as a means of both understanding and integrating the core information processing strategies underlying perception, reasoning, and action. But how, if at all, do emotions and sub-cortical contributions fit into this emerging picture? The fit, we shall argue, is both profound and potentially transformative. In the picture we develop, online cognitive function cannot be assigned to either the cortical or the sub-cortical component, but instead emerges from their tight co-ordination. This tight co-ordination involves processes of continuous reciprocal causation that weave together bodily information and ‘top-down’ predictions, generating a unified sense of what’s out there and why it matters. The upshot is a more truly ‘embodied’ vision of the predictive brain in action.

Key words: predictive processing, affective neuroscience, embodied mind, affordance competition, pulvinar

I re-examine Kuhn’s account of scientific revolutions. I argue that the sorts of events Kuhn regards as scientific revolutions are a diverse lot, differing in significant ways. But, I also argue that Kuhn does provide us with a principled way to distinguish revolutionary changes from non-revolutionary changes in science. Scientific revolutions are those changes in science that (1) involve taxonomic changes, (2) are precipitated by disappointment with existing practices, and (3) cannot be resolved by appealing to shared standards. I argue that an important and often overlooked dimension of the Kuhnian account of scientific change is the shift in focus from theories to research communities. Failing to make this shift in perspective might lead one to think that when individual scientists change theories a scientific revolution has occurred. But, according to Kuhn, it is research communities that undergo revolutionary changes, not individual scientists. I show that the change in early modern astronomy is aptly characterized as a Kuhnian revolution.

Key words: kuhn scientific revolution scientific change research communities taxonomic change

Abstract: I aim to clarify the relationship between the success of a theory and the truth of that theory. This has been a central issue in the debates between realists and anti-realists. Realists assume that success is a reliable indicator of truth, but the details about the respects in which success is a reliable indicator or test of truth have been largely left to our intuitions. Lewis (Synthese 129:371–380, 2001) provides a clear proposal of how success and truth might be connected, comparing a test of success of our theories to medical tests with low rates of false positives and false negatives. But, contrary to what Lewis claims, I argue that it is not enough for the realist to undercut the claim that success is not a reliable indicator of truth. Rather, the realist must show that our current best theories are likely true. Further, I argue that tests in science are unlike medical tests in a number of important ways.

Key words: Pessimistic induction, Success, Truth, Realism, Anti-realism, Medical tests Prediction

The analyses of the mind–world relation offered by transcendental idealists such as Husserl have often been dismissed with the argument that they remain committed to an outdated form of internalism. The first move in this paper will be to argue that there is a tight link between Husserl’s transcendental idealism and what has been called phenomenological externalism, and that Husserl’s endorsement of the former commits him to a version of the latter. Secondly, it will be shown that key elements in Husserl’s transcendental idealism, including his rejection of representationalism and metaphysical realism, is shared with a number of prominent contemporary defenders of an externalist view on the mind. Ultimately, however, it will be suggested that the very alternative between internalism and externalism – an alternative based on the division between inner and outer – might be inapplicable when it comes to phenomenological conceptions of the mind–world relation.

Key words: internationalism, externalism, phenomenology, intentionality, transcendental idealism.