The free energy principle is notoriously difficult to understand. In this paper, we relate the principle to a framework that philosophers of biology are familiar with: Ruth Millikan’s teleosemantics. We argue that: systems that minimise free energy are systems with a proper function; and Karl Friston’s notion of implicit modelling can be understood in terms of Millikan’s notion of mapping relations. Our analysis reveals some surprising formal similarities between the two frameworks, and suggests interesting lines of future research. We hope (...) this will aid further philosophical evaluation of the free energy principle. (shrink)

Philosophers who study the problem of biological function often begin their deliberations by reflecting on the functions of parts of animals, or the behavior of animals. Applying theories of biological function to unconventional or borderline cases can help us to better evaluate and refine those theories. This is the case when we consider whether parts of transposable elements —bits of “selfish” DNA that move about within a host genome—have functions of their own, that is, whether the parts of TEs have (...) the function of helping the TE move about within the genome. Here I argue that whether or not the parts of TEs have functions depends crucially on whether collections of TEs form “populations,” by which I mean, here, a group of individuals of the same type that impact one another’s chances of persistence or multiplication, by impacting one another’s access to a shared resource. I think there is suggestive, but not conclusive, evidence that some TEs have functions of their own. Considering the problem of TE functionality, then, has value both for philosophy and for biology. (shrink)

Over the last fifteen years, an ambitious explanatory framework has been proposed to unify explanations across biology and cognitive science. Active inference, whose most famous tenet is the free energy principle, has inspired excitement and confusion in equal measure. Here, we lay the ground for proper critical analysis of active inference, in three ways. First, we give simplified versions of its core mathematical models. Second, we outline the historical development of active inference and its relationship to other theoretical approaches. Third, (...) we describe three different kinds of claim -- labelled mathematical, empirical and general -- routinely made by proponents of the framework, and suggest dialectical links between them. Overall, we aim to increase philosophical understanding of active inference so that it may be more readily evaluated. -/- This the final submitted version of the Introduction to the Topical Collection "The Free Energy Principle: From Biology to Cognition", forthcoming in Biology & Philosophy. (shrink)

Christie, Brusse, et al. claim that the ‘selected effect’ (SE) theory of function is premised on a simplistic view of evolution. In complex evolutionary scenarios, in particular those involving frequency-dependent selection (FDS), the SE theory fails, they argue, since citing a trait’s SE function does not serve to explain why the trait exists. I argue that where FDS leads to a stable equilibrium, at which all individuals’ trait values constitute a ‘best response’ to the rest of the population, the SE (...) theory can be straightforwardly applied. However, matters are different if the evolutionary dynamics do not take the population to a stable equilibrium. (shrink)

Philosophers have proposed many accounts of biological function. A coarse-grained distinction can be made between backward-looking views, which emphasise historical contributions to fitness, and forward-looking views, which emphasise the current contribution to fitness or role of a biological component within some larger system. These two views are often framed as being incompatible and conflicting with one another. The emerging field of synthetic biology, which involves applying engineering principles to the design and construction of biological systems, complicates things further by adding (...) intentional design as a source of function. In the current study we explored how biology experts and novices think about function in the context of single-celled, multi-celled, and synthetic organisms. We also explored the extent to which each group were function pluralists, and if they were function pluralists, which accounts of function tended to be endorsed together. The results showed a surprising degree of similarity between experts and novices in most contexts, although certain differences were apparent. Most surprisingly, we found evidence not only of function pluralism in both groups, but pluralism between backward-looking and forward-looking accounts. We discuss these findings in the context of the philosophical debate on function and consider the practical implications for public acceptance of synthetic biology. First, we argue that philosophers of biology should re-examine the purported incompatibility between accounts of function. Second, we argue that due to the introduction of an intentional aetiology in synthetic biology, there may be an inherent conflict between the views of experts and novices when thinking about synthetic biology. (shrink)

Karen Neander’s (1991a, b) Selected Effects (SE) theory of biological proper functions argues that the function of a trait is the action for which it was “caused” to be selected by natural selection. Her life’s work has already left a lasting impact, however SE theory has yet to be more properly formalized as a conceptual analysis of biological functions. Although other SE theories have sought to build upon Neander’s work (e.g., Garson, 2017), there remains an ambiguity in the theory’s use (...) of causal descriptors. For the success of her successors, delineating the function of causality for SE theory is of utmost importance. Here, I systematize Neander’s theory according to the different senses of causation inherent to it. I argue that structuring SE theory in terms of causal transitivity and intransitivity reveals that Neander’s analysis not only supersedes her detractors but likely exposes areas of vulnerability in others’ SE theory derivatives. (shrink)

In the target article for this issue, Christie, Brusse, et al. [2022a] argue that Selected Effects Functions (SEF), at least as currently articulated, often do not explain biological traits. In res...