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The 35 commentaries cover a wide range of topics and take many different stances on the issues explored by the target article. We have organised our response to the commentaries around three central questions: Are Friston blankets just Pearl blankets? What ontological and metaphysical commitments are implied by the use of Friston blankets? What kind of explanatory work are Friston blankets capable of? We conclude our reply with a short critical reflection on the indiscriminate use of both Markov blankets and the free energy principle.
Bruineberg and colleagues helpfully distinguish between instrumental and ontological interpretations of Markov blankets, exposing the dangers of using the former to make claims about the latter. However, proposing a sharp distinction neglects the value of recognising a continuum spanning from instrumental to ontological. This value extends to the related distinction between “being” and “having” a model.
Bruineberg et al. argue that one ought not confuse the map (model) for the territory (reality) and delineate a distinction between innocuous Pearl blankets and metaphysically laden Friston blankets. I argue that all we have are models, all knowledge is conditional, and that if there is a Pearl/Friston distinction, it is a matter of the domain of application: latents or observations. This suggests that, if anything, Friston blankets may inherit philosophical significance previously assigned to observations.
The term ‘schizophrenia’ refers to a group of disorders that seem to occur worldwide, with clinical pictures being strikingly similar across cultures. Evolutionary explanations of these disorders are warranted for at least two reasons: the first concerns their prevalence in all known ethnicities; the second relates to the need to explain the paradox as to why the conditions are maintained despite the greatly decreased fecundity of the affected individuals. Accordingly, a plethora of heterogeneous hypotheses – unparalleled among other psychiatric disorders – have been put forth, some of which deal with genetic considerations, others with environmental risk factors, and a few consider the adaptive advantages associated with the genes that predispose to schizophrenia. None of the evolutionary scenarios has the potential to account for the diversity of the symptomatology or to cover all of the biological and non-biological aspects of schizophrenia or schizophrenia spectrum disorders. This chapter aims at discussing the most relevant evolutionary hypotheses of schizophrenia, arguing that a symptom-based approach to psychotic disorders from an evolutionary perspective may improve upon the existing models of schizophrenia.
We challenge the authors' view that Markov blankets are illicitly reified when used to describe organismic boundaries. We do this both on general methodological grounds, where we appeal to a form of structural realism derived from Bayesian cognitive science to dissolve the problem, and by rebutting specific arguments in the target article.
Discovering why natural selection has left humans vulnerable to mental disorders will make psychiatry more sensible and effective, but defining the appropriate objects and kinds of explanation remains challenging. Asking how a disorder increases fitness is a mistake; disorders are not adaptations and they do not have evolutionary explanations. The correct objects of explanation are the traits that make all members of a species vulnerable to a disorder. Task 1 is to describe the evolutionary origins and functions of the traits involved. Task 2 is to describe the proximate processes that result in the disorder. Task 3 is to discover why natural selection left the traits vulnerable to malfunction. Five main kinds of explanation need to be considered: stochasticity, path dependence, mismatch, trade-offs that benefit the individual and traits that benefit gene transmission at a cost to the individual. Depression, addiction, eating disorders, autism and schizophrenia are used to illustrate the opportunities and challenges of framing and testing hypotheses about vulnerability. Multiple explanations are often needed for a single disorder, frustrating the wish for simplicity. However, recognising the fundamental differences between organic and designed systems offers opportunities for resolving – or at least understanding – some enduring controversies in psychiatry.
We discuss evolutionary perspectives on two neurodevelopmental disorders: attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Both have a genetic background, and we explore why these genes may have survived the process of natural selection. We draw on the concept of evolutionary mismatch, in which a trait that may have conferred advantages in the past can become disadvantageous when the environment changes. We also describe the non-genetic influences on these conditions. We point out that children with neurodevelopmental conditions are more likely to suffer maltreatment, so it is important to consider both the genes and the environment in which children have grown up. In hunter-gatherer societies, ADHD may have favoured risk-taking, which may explain why it has survived. The contemporary model of schooling, in which children are expected to sit still for many hours a day, does not favour this. Understanding ADHD in terms of an evolutionary mismatch therefore raises ethical issues regarding both medication and the school environment. ASDs are far more heterogeneous and are characterised by high heritability and low reproductive success. At the severe end of the spectrum, ASD is highly disadvantageous and often co-occurs with intellectual disability. On the other hand, high-functioning ASD may have been adaptive in our evolutionary past in terms of the potential for the development of specialist skills and can still be so today in the right environment.
The free-energy principle (FEP) builds on an assumption that sensor–motor loops exhibit Markov blankets in stationary state. We argue that there is rarely reason to assume a system's internal and external states are conditionally independent given the sensorimotor states, and often reason to assume otherwise. However, under mild assumptions internal and external states are conditionally independent given the sensorimotor history.
In this commentary, I first acknowledge points of common ground with the target article by Bruineberg and colleagues. Then, I consider how certain ambiguities could be resolved by considering spatiotemporal constraints on causality. In particular I show how blanket closure emerges from localized interactions between temporally separable subsystems, and how this points to valuable directions of future research. Finally, I close with a process note discussing the allegorical implications of the authors' creative title.
Analysis provided in The Emperor's New Markov Blankets reveals that there is limited potential for practical application of Pearl and Friston blankets. However, Bruineberg and colleagues' analysis includes a simple diagram that has potential to better enable shared understanding of interactions between free energy principle constructs during the design and implementation of biosocial–technical systems.
The gap between the Markov blanket and ontological boundaries arises from the former's inability to capture the dynamic process through which biological and cognitive agents actively generate their own boundaries with the environment. Active inference in the free-energy principle (FEP) framework presupposes the existence of a Markov blanket, but it is not a process that actively generates the latter.
In Western culture, both the lay public and mental health professionals tend to believe that mothers evolved to love all of their children instinctually and unconditionally. In contrast, any mother who feels ambivalence or hostility towards her child is typically seen as unnatural, and a mother who maltreats her child is seen as behaving pathologically. This chapter draws on evolutionary research to challenge this widespread view of motherhood. In particular, it describes how raising children has required mothers to negotiate a series of complex, precarious and layered trade-offs, and it argues that maternal negativity and child maltreatment can arise from this. The goal of this chapter is to foster a more evolutionarily valid, nuanced and compassionate understanding of motherhood. Such an understanding has the potential to contribute to clinical work with faltering mothers as well as to programmes focused on preventing maternal maltreatment of children.
This commentary suggests that, although Markov blankets may have different interpretations in different systems, these distinctions rest not upon the type of blanket, but upon the model that determines the blanket. As an example, the conditions for a model in which the Markov blanket may be interpretable as a physical (spatial) boundary are considered.
The currently dominant model of health and disease in psychiatry and medicine is Engel’s biopsychosocial (BPS) model, proposed in the 1970s to advance reductionistic biomedicine by integrating psychological and social factors. Although the BPS model represented progress, its scientific and philosophical foundations remain questionable and it cannot be considered complete or sufficient. In this chapter, we provide a historical and conceptual analysis of the BPS model before showing that the integration of evolutionary theory can provide a suitable next step from the BPS model, much as the BPS model was a step forward from the biomedical approach. Evolutionary theory justifies and enhances the BPS model’s recognition of multiple levels of causation and expands it by recognising both ultimate and proximate causation. It allows a clearer distinction of biological function from dysfunction and encourages a phylogenetic perspective on biology, which can guide research in new directions. In connecting the model of health with the most fundamental theory of biology, this approach provides the philosophical and scientific coherence that the BPS model sorely lacked.
What can we hope to learn about brains from the free energy principle? In adopting the “primordial soup” physical model, Bruineberg et al. perpetuate the unsupported notion that the free-energy principle has a meaningful physical – and neuronal – interpretation. We examine how minimization of free energy arises in physical contexts, and what this can and cannot tell us about brains.
I argue that there is no viable development of the instrumentalist inference within a model research program. I further argue that both Friston and Pearl blankets are not the right sort of tool to settle debates on philosophical internalism and externalism. For these reasons, the inference within a model program is far less promising than the target article suggests.
Bruineberg and colleagues report a striking confusion, in which the formal Bayesian notion of a “Markov blanket” has been frequently misunderstood and misapplied to phenomena of mind and life. I argue that misappropriation of formal concepts is pervasive in the “predictive processing” literature, and echo Richard Feynman in suggesting how we might resist the allure of cargo cult computationalism.
Humans and alcohol share a deep evolutionary history: our capacity to convert alcohol into useable sugars is a trait we share with the African great apes (gorillas and chimpanzees) and is unique to this taxonomic family among the primates. Although the archaeological record only allows us to date the production of alcohol back about 9,000 years (by which time it is already on an industrial scale), a cottage industry of alcohol production must date back a great deal further. With the exception of where its consumption has been prohibited on religious grounds, alcohol use occurs in every culture and society. Notwithstanding its hedonic properties, its real functional benefit is primarily social, playing an important role in rituals and group bonding. I review studies that demonstrate its functional consequences in terms of social bonding, mediated by alcohol’s ability to trigger the brain’s endorphin system. The endorphin system is the central basis for social bonding in primates. The health and other benefits that arise from social bonding are considerable.