Biological evolution and cultural evolution are distinct evolutionary processes; they are apparent also in human language, where both processes contributed in shaping its evolution. However, the nature of the interaction between these two processes is still debated today. It is often claimed that the emergence of modern language was preceded by the evolution of a language-ready brain: the latter is usually intended as a product of biological evolution, while the former is believed to be the consequence of cultural processes. I (...) label this account separationist, and I argue that current evidence coming from the archaeological and fossil record suggests that cultural evolution has played a pivotal role in shaping not only modern language but also the language-ready brain. I label the latter the integrative perspective. I analyze the two accounts from two different conceptual frameworks, the Standard Evolutionary Theory and the Extended Evolutionary Synthesis, and I discuss the limits of the sharp proximate–ultimate distinction in this specific case study arguing in favor of a causal feedback model. I extend the argument to the debate on gradual and punctuational evolutionary rates, suggesting that the debate on patterns in language evolution should leave room for discussion of the nature of the processes involved in producing those patterns, providing reasons in favor of the eco-evolutionary feedback dynamics underlying the integrative perspective. (shrink)

I propose a new account of homology, according to which homology is a correspondence of developmental mechanisms due to common ancestry, formally defined as an isomorphism of causal graphs over lineages. The semiformal definition highlights the role of homology as a higher-order principle unifying evolutionary models and also provides definite meanings to concepts like constraints, evolvability, and novelty. The novel interpretation of homology suggests a broad perspective that accommodates evolutionary developmental biology and traditional population genetics as distinct but complementary approaches (...) to understand evolution, prompting further empirical and theoretical research. (shrink)

The causal nature of evolution is one of the central topics in the philosophy of biology. The issue concerns whether equations used in evolutionary genetics point to some causal processes or purely phenomenological patterns. To address this question the present article builds well-defined causal models that underlie standard equations in evolutionary genetics. These models are based on minimal and biologically plausible hypotheses about selection and reproduction, and generate statistics to predict evolutionary changes. The causal reconstruction of the evolutionary principles shows (...) adaptive evolution as a genuine causal process, where fitness and selection are both causes of evolution. 1 Introduction2 The Philosophical Puzzle3 Causal Models4 Causal Foundations of Evolutionary Genetics4.1 Univariate quantitative genetics model4.1.1 The causal graph4.1.2 Structural equations4.1.3 Deriving evolutionary transition functions4.2 One-locus population genetics model5 Evolution as a Causal Process5.1 Selection as a causal process5.2 Causes of evolutionary change6 Conclusion. (shrink)

The causal nature of evolution is one of the central topics in the philosophy of biology. The issue concerns whether equations used in evolutionary genetics point to some causal processes or purely phenomenological patterns. To address this question the present article builds well-defined causal models that underlie standard equations in evolutionary genetics. These models are based on minimal and biologically plausible hypotheses about selection and reproduction, and generate statistics to predict evolutionary changes. The causal reconstruction of the evolutionary principles shows (...) adaptive evolution as a genuine causal process, where fitness and selection are both causes of evolution. 1 Introduction2 The Philosophical Puzzle3 Causal Models4 Causal Foundations of Evolutionary Genetics4.1 Univariate quantitative genetics model4.1.1 The causal graph4.1.2 Structural equations4.1.3 Deriving evolutionary transition functions4.2 One-locus population genetics model5 Evolution as a Causal Process5.1 Selection as a causal process5.2 Causes of evolutionary change6 Conclusion. (shrink)

Over the past decade philosophers of biology have discussed whether evolutionary theory is a causal theory or a phenomenological study of evolution based solely on the statistical features of a population. This article reviews this controversy from three aspects, respectively concerning the assumptions, applications, and explanations of evolutionary theory, with a view to arriving at a definite conclusion in each contention. In so doing I also argue that an implicit methodological assumption shared by both sides of the debate, namely the (...) overconfidence in conceptual analysis as a tool to understand the scientific theory, is the real culprit that has both generated the problem and precluded its solution for such a long time. (shrink)

Throughout evolution, there has been interaction and exchange between RNA pools in the environment, and DNA and RNA pools of eukaryotic organisms. Metagenomic and metatranscriptomic sequencing of invertebrate hosts and their microbiota has revealed a rich evolutionary history of RNA virus shuttling between species. Horizontal transfer adapted the RNA pool for successful future interactions which lead to zoonotic transmission and detrimental RNA viral pandemics like SARS‐CoV2. In eukaryotes, noncoding RNA (ncRNA) is an established mechanism derived from prokaryotes to defend against (...) viral attack through innate immunity and regulation of host‐derived mRNA. Transgenerational inheritance of ncRNA is evidence for feedforward adaptive immunity and epigenetically encoded environmental change across generations, which may explain the ‘‘missing heritability’’ of common disease. Causal graph theory and the Price Equation can model epigenetic inheritance involving dynamic internal and external RNA pools. Experimental designs should include metatranscriptomic analyses to understand how ncRNA responds to rapidly changing environmental conditions, within and between organisms, and across generations. (shrink)

This paper provides a philosophical analysis of the Price equation and its role in evolutionary theory. Traditional models in population genetics postulate simplifying assumptions in order to make the models mathematically tractable. On the contrary, the Price equation implies a very specific way of theorizing, starting with assumptions that we think are true and then deriving from them the mathematical rules of the system. I argue that the Price equation is a generalization-sketch, whose main purpose is to provide a unifying (...) framework for researchers, helping them to develop specific models. The Price equation plays this role because, like other scientific principles, shows features as abstractness, unification and invariance. By underwriting this special role for the Price equation some recent disputes about it could be diverted. (shrink)

Due to its high degree of complexity and its historical nature, evolutionary biology has been traditionally portrayed as a messy science. According to the supporters of such a view, evolutionary biology would be unable to formulate laws and robust theories, instead just delivering coherent narratives and local models. In this article, our aim is to challenge this view by showing how the Price equation can work as the core of a general theoretical framework for evolutionary phenomena. To support this claim, (...) we outline some unnoticed structural similarities between physical theories and evolutionary biology. More specifically, we shall argue that the Price equation, in the same way as fundamental formalisms in physics, can serve as a heuristic principle to formulate and systematise different theories and models in evolutionary biology. (shrink)

After biologist Deborah Gordon made a series of experimental discoveries in the 1980s, she argued that a change in terminology regarding the division of labor among castes of specialists was needed. Gordon’s investigations of the interactive effects of ants in colonies led her to believe that the established approach Edward O. Wilson had pioneered was biased in a way that made some alternative candidate adaptive explanations invisible. Gordon argued that this was because the term “division of labor” implied a division (...) among specialists that was unwarranted, and proposed “task allocation” as a better description that did not bias research against the alternative causes she had discovered. Gordon’s empirical findings and theoretical proposals also vindicate the initial critics of Wilson’s human sociobiology who have been dismissed as political radicals, but her proposals have been widely misunderstood by many contemporary behavioral ecologists. The terminological and methodological confusions rampant in contemporary discourse can be clarified by applying a framework developed by Elisabeth Lloyd involving an analysis of the constraints imposed by different research questions. Applying this framework will show how the methodological problems involving description raised by the initial critics of Wilson’s human sociobiology extended to his analysis of ants, indicating that they were not challenging Wilson’s naturalistic approach to the study of human evolution, but rather his methods. It will also show how confusion over how Gordon’s proposed research questions have been conflated with the possible answers she has argued ought to be investigated. This in turn will clarify contemporary disputes over her proposal to abandon the term “division of labor.”. (shrink)

A subarea of the debate over the nature of evolutionary theory addresses what the nature of the explanations yielded by evolutionary theory are. The statisticalist line is that the general principles of evolutionary theory are not only amenable to a mathematical interpretation but that they need not invoke causes to furnish explanations. Causalists object that construction of these general principles involves crucial causal assumptions. A recent view claims that some biological explanations are statistically autonomous explanations (SAEs) whereby phenomena are accounted (...) for statistically and which prescind from micro-causal details. I raise three major problems for this account and then advance a view which unifies SAEs as mathematical explanations: the MSAE view. The MSAE view not only resolves the issues bedeviling the original SAE account but serves to importantly broaden the class of non-causal explanations in population biology. (shrink)

In recent years, biologists and philosophers of science have argued that evolutionary theory should incorporate more seriously the idea of ‘reciprocal causation.’ This notion refers to feedback loops whereby organisms change their experiences of the environment or alter the physical properties of their surroundings. In these loops, in particular niche constructing activities are central, since they may alter selection pressures acting on organisms, and thus affect their evolutionary trajectories. This paper discusses long-standing problems that emerge when studying such reciprocal causal (...) processes between organisms and environments. By comparing past approaches to reciprocal causation from the early twentieth century with contemporary ones in niche construction theory, we identify two central reoccurring problems: All of these approaches have not been able to provide a conceptual framework that allows maintaining meaningful boundaries between organisms and environments, instead of merging the two, and integrating experiential and physical kinds of reciprocal causation. By building on case studies of niche construction research, we provide a model that is able to solve these two problems. It allows distinguishing between mutually interacting organisms and environments in complex scenarios, as well as integrating various forms of experiential and physical niche construction. (shrink)

The validity and utility of the proximate-ultimate distinction in biology have recently been under debate. Opponents of the distinction argue that it rules out individual-level organismic processes from evolutionary explanations, thereby leading to an unfounded separation between organismic causation and evolutionary causation. Proponents of the proximate-ultimate distinction, on the other hand, argue that it serves an important epistemological role in forming different kinds of explanation-seeking questions in biology. In this paper we offer an interpretation the proximate-ultimate distinction not only as (...) a means of forming explanation-seeking questions, but also as a distinction that can help highlight the way in which individual-level organismic processes can be evolutionary causes. We do this by interpreting the distinction between proximate and ultimate causes as a distinction between structuring and triggering causes. (shrink)

Scientific conflicts often stem from differences in the conceptual framework through which scientists view and understand their own field. In this chapter, I analyze the ontological and methodological assumptions of three traditions in evolutionary biology, namely, Ernst Mayr’s population thinking, the gene-centered view of the Modern Syn thesis, and the Extended Evolutionary Synthesis. Each of these frameworks presupposes a different account of "evolutionary causes," and this discrepancy prevents mutual understanding and objective evaluation in the recent contention surrounding the EES. From (...) this perspective, the chapter characterizes the EES research program as an attempt to introduce causal structures beyond genes as additional units of evolution, and compares its research methodology and objectives with those of the traditional MS framework. (shrink)