Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to adaptive success. This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency.

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Whatever next? Predictive brains, situated agents, and the future of cognitive science

Scientific activities take place within the structured sets of ideas and assumptions that define a field and its practices. The conceptual framework of evolutionary biology emerged with the Modern Synthesis in the early twentieth century and has since expanded into a highly successful research program to explore the processes of diversification and adaptation. Nonetheless, the ability of that framework satisfactorily to accommodate the rapid advances in developmental biology, genomics and ecology has been questioned. We review some of these arguments, focusing on literatures (evo-devo, developmental plasticity, inclusive inheritance and niche construction) whose implications for evolution can be interpreted in two ways—one that preserves the internal structure of contemporary evolutionary theory and one that points towards an alternative conceptual framework. The latter, which we label the 'extended evolutionary synthesis' (EES), retains the fundaments of evolutionary theory, but differs in its emphasis on the role of constructive processes in development and evolution, and reciprocal portrayals of causation. In the EES, developmental processes, operating through developmental bias, inclusive inheritance and niche construction, share responsibility for the direction and rate of evolution, the origin of character variation and organism-environment complementarity. We spell out the structure, core assumptions and novel predictions of the EES, and show how it can be deployed to stimulate and advance research in those fields that study or use evolutionary biology.

https://royalsocietypublishing.org/doi/pdf/10.1098/rspb.2015.1019

The extended evolutionary synthesis: its structure, assumptions and predictions.

We suggest that human culture exhibits key Darwinian evolutionary properties, and argue that the structure of a science of cultural evolution should share fundamental features with the structure of the science of biological evolution. This latter claim is tested by outlining the methods and approaches employed by the principal subdisciplines of evolutionary biology and assessing whether there is an existing or potential corresponding approach to the study of cultural evolution. Existing approaches within anthropology and archaeology demonstrate a good match with the macroevolutionary methods of systematics, paleobiology, and biogeography, whereas mathematical models derived from population genetics have been successfully developed to study cultural microevolution. Much potential exists for experimental simulations and field studies of cultural microevolution, where there are opportunities to borrow further methods and hypotheses from biology. Potential also exists for the cultural equivalent of molecular genetics in "social cognitive neuroscience," although many fundamental issues have yet to be resolved. It is argued that studying culture within a unifying evolutionary framework has the potential to integrate a number of separate disciplines within the social sciences.

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Towards a unified science of cultural evolution

An Anthropology of Biomedicine is an exciting new introduction to biomedicine and its global implications. Focusing on the ways in which the application of biomedical technologies bring about radical changes to societies at large, cultural anthropologist Margaret Lock and her co-author physician and medical anthropologist Vinh-Kim Nguyen develop and integrate the thesis that the human body in health and illness is the elusive product of nature and culture that refuses to be pinned down. Introduces biomedicine from an anthropological perspective, exploring the entanglement of material bodies with history, environment, culture, and politics Develops and integrates an original theory: that the human body in health and illness is not an ontological given but a moveable, malleable entity Makes extensive use of historical and contemporary ethnographic materials around the globe to illustrate the importance ofthis methodologicalapproach Integrates key new research data with more classical material, covering the management of epidemics, famines, fertility and birth, by military doctors from colonial times on Uses numerous case studies to illustrate concepts such as the global commodification of human bodies and body parts, modern forms of population, and the extension of biomedical technologies into domestic and intimate domains

An Anthropology of Biomedicine

In The Democracy of Objects Bryant proposes that we break with the epistemological tradition and once again initiate the project of ontology as first philosophy. Bryant develops a realist ontology, called -onticology-, which argues that being is composed entirely of objects, properties, and relations. Bryant proposes that objects are dynamic systems that relate to the world under conditions of operational closure.

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The Democracy of Objects

Many books on evolution neglect the complex dynamics of ontogeny (development) necessary to produce the mature creature They either ignore it or reduce it to the transmission of genetic information This contributes to unproductive debates on "nature versus nurture" Developmental systems theory (DST) offers a new conceptual framework with which to resolve such debates DST views ontogeny as contingent cycles of interaction among a varied set of developmental resources, no one of which controls the process These factors include DNA, cellular and organismic structure, and social and ecological interactions DST has excited interest from a wide range of researchers, from molecular biologists to anthropologists, because of its ability to integrate evolutionary theory and other disciplines without falling into traditional oppositions The book provides historical background to DST, recent theoretical findings on the mechanisms of heredity, applications of the DST framework to behavioural development, implications of DST for the philosophy of biology, and critical reactions to DST

Susan Oyama

Papers

Cycles of Contingency: Developmental Systems and Evolution

Introduction: what Is developmental systems theory?