This paper aims to offer an account of affective experiences within Predictive Processing, a novel framework that considers the brain to be a dynamical, hierarchical, Bayesian hypothesis-testing mechanism. We begin by outlining a set of common features of affective experiences that a PP-theory should aim to explain: feelings are conscious, they have valence, they motivate behaviour, and they are intentional states with particular and formal objects. We then review existing theories of affective experiences within Predictive Processing and delineate two families (...) of theories: Interoceptive Inference Theories and Error Dynamics Theories. We highlight the strengths and shortcomings of each family of theories and develop a synthesis: the Affective Inference Theory. Affective Inference Theory claims that valence corresponds to the expected rate of prediction error reduction. In turn, the particular object of a feeling is the object predicted to be the most likely cause of expected changes in prediction error rate, and the formal object of a feeling is a predictive model of the expected changes in prediction error rate caused by a given particular object. Finally, our theory shows how affective experiences bias action selection, directing the organism towards allostasis and towards optimal levels of uncertainty in order to minimise prediction error over time. (shrink)

I respond to an objection recently formulated by Barlassina and Hayward against first-order imperativism about pain, according to which it cannot account for the self-directed motivational force of pain. I am going to agree with them: it cannot. This is because pain does not have self-directed motivational force. I will argue that the alternative view—that pain is about dealing with extramental, bodily threats, not about dealing with itself—makes better sense of introspection, and of empirical research on pain avoidance. Also, a (...) naturalistic theory of body-involving commands falls straightforwardly out of our most prominent naturalistic metasemantic accounts, while the token-reflexive contents that would underlie self-directed motivation are more problematic. (shrink)

This article provides an account of intuitions: Affectivism. Affectivism states that intuitions are emotional experiences. The article proceeds as follows: first, the features that intuitions are typically taken to have are introduced. Then some issues with extant theories are outlined. After that, emotional experiences and their central features are brought into view. This is followed by a comparison of intuitions and emotional experiences, yielding the result that emotional experiences fit and elucidate the feature profile of intuitions. Finally, it is specified (...) what kind of emotional experiences intuitions are: intuitions are typically mild emotional experiences that belong to the subclass of epistemic feelings. (shrink)

Creating simulations of the world can be a valuable way to test new ideas, predict the future, and broaden our understanding of a given topic. Presumably, the more similar the simulation is to the real world, the more transferable the knowledge generated in the simulation will be and, therefore, the more useful. As such, there is an incentive to create more advanced and representative simulations of the real world. Simultaneously, there are ethical and practical limitation to what can be done (...) in human and animal research, so creating simulated beings to stand in their place could be a way of advancing research while avoiding some of these issues. However, the value of representativeness implies that there will be an incentive to create simulated beings as similar to real-world humans as possible to better transfer the knowledge gained from that research. This raises important ethical questions related to how we ought to treat advanced simulated beings and consider if they might have autonomy and wellbeing concerns that ought to be respected. As such, the uncertainty and potential of this line of research should be carefully considered before the simulation begins. (shrink)