It has been tacitly assumed that certain fundamental “laws” of science have the same meaning and significance in the different scientific disciplines. Outside of quantum physics the law of causality was regarded as such a concept which was most generally applicable in the description of the systems of nature. However, the role of causality in recent research in biology seems not quite clear. There an explanation of the specific properties of biological systems does not assume the form of a (...) simple law such as a mathematical expression relating different states of one and the same system. Rather it is attempted to show how the properties of the system as a whole are established by the specific interaction of the parts of the system. (shrink)

ArgumentFriedrich August von Hayek is mainly known for his defense of free-market economics and liberalism. His views on science – more specifically on the methodological differences between the physical sciences on the one hand, and evolutionary biology and the social sciences on the other – are less well known. Yet in order to understand, and properly evaluate Hayek's political position, we must look at the theory of scientific method that underpins it. Hayek believed that a basic misunderstanding of the (...) discipline of economics and the complex phenomena with which it deals produced misconceptions concerning its method and goals, which led in turn to the adoption of dangerous policies. The objective of this article is to trace the development of Hayek's views on the nature of economics as a scientific discipline and to examine his conclusions concerning the scope of economic prediction. In doing so, I will first show that Hayek's interest in the natural sciences, as well as his interest in epistemology, were central to his thought, dating back to his formative years. I will then emphasize the important place of historical analysis in Hayek's reflections on methodology and examine the reasons for his strong criticism of positivism and socialism. Finally, in the third and fourth sections that constitute the bulk of this article, I will show how Hayek's understanding of the data and goal of the social sciences, culminated in an analogy that sought to establish economics and evolutionary biology as exemplary complex sciences. I will challenge Hayek's interpretation of this analogy through a comparison with Darwin's views inThe Origin of Species, and thus open a door to re-evaluating the theoretical foundations of Hayek's political claims. (shrink)

The difficulties of the biological taxonomy development are argued to have been historically associated with two main problems: 1) the problem of searching for essential features which was unachievable within the framework of empiric taxonomy andcould be solved as a part of the mature theory; 2) the problem of developing of a model of the biological object the remedies of which were developed only in the XX century. The author argues that both problems are associated with the development of classificatory (...) and system ontology and the relevant methodologies. The classificatory methodology from its inception is argued to have developed as a means of classification of biological diversity; furthermore it is claimed to have been assumed that the features representing classes possessed ontological nature that is they actually represent individual objects. The author concludes that taking into account the empiric nature of taxonomy that assumption turned to be false. In the modern taxonomy along with the classical approach a classificatory-system approach was developed. Fundamentally, it is a transition from the classical approach to the modern one which is held to imply the development of a system model of the study subject. (shrink)

Game theory has a prominent role in evolutionary biology, in particular in the ecological study of various phenomena ranging from conflict behaviour to altruism to signalling and beyond. The two central methodological tools in biological game theory are the concepts of Nash equilibrium and evolutionarily stable strategy. While both were inspired by a dynamic conception of evolution, these concepts are essentially static—they only show that a population is uninvadable, but not that a population is likely to evolve. In this (...) article, we argue that a static methodology can lead to misleading views about dynamic evolutionary processes. We advocate, instead, a more pluralistic methodology, which includes both static and dynamic game theoretic tools. Such an approach provides a more complete picture of the evolution of strategic behaviour. 1 Introduction2 The Equilibrium Methodology3 Common Interest Signalling3.1 Lewis’s signalling game3.2 Static analysis3.3 Dynamic analysis4 The Sir Philip Sidney Game4.1 Static analysis4.2 Other equilibria4.3 Dynamic analysis5 Related Literature6 Static and Dynamic Approaches. (shrink)

Synthetic biology is described as a new field of biotechnology that models itself on engineering sciences. However, this view of synthetic biology as an engineering field has received criticism, and both biologists and philosophers have argued for a more nuanced and heterogeneous understanding of the field. This paper elaborates the heterogeneity of synthetic biology by clarifying the role of design and the variability of design methodologies in synthetic biology. I focus on two prominent design methodologies: rational (...) design and directed evolution. Rational design resembles the design methodology of traditional engineering sciences. However, it is often replaced and complemented by the more biologically-inspired method of directed evolution, which models itself on natural evolution. These two approaches take philosophically different stances to the design of biological systems. Rational design aims to make biological systems more machine-like, whereas directed evolution utilizes variation and emergent features of living systems. I provide an analysis of the methodological basis of these design approaches, and highlight important methodological differences between them. By analyzing the respective benefits and limitations of these approaches, I argue against the engineering-dominated conception of synthetic biology and its “methodological monism”, where the rational design approach is taken as the default design methodology. Alternative design methodologies, like directed evolution, should be considered as complementary, not competitive, to rational design. (shrink)

The difficulties of the biological taxonomy development are argued to have been historically associated with two main problems: 1) the problem of searching for essential features which was unachievable within the framework of empiric taxonomy andcould be solved as a part of the mature theory; 2) the problem of developing of a model of the biological object the remedies of which were developed only in the XX century. The author argues that both problems are associated with the development of classificatory (...) and system ontology and the relevant methodologies. The classificatory methodology from its inception is argued to have developed as a means of classification of biological diversity; furthermore it is claimed to have been assumed that the features representing classes possessed ontological nature that is they actually represent individual objects. The author concludes that taking into account the empiric nature of taxonomy that assumption turned to be false. In the modern taxonomy along with the classical approach a classificatory-system approach was developed. Fundamentally, it is a transition from the classical approach to the modern one which is held to imply the development of a system model of the study subject. (shrink)

In this paper I respond to Wim van der Steen''s arguments against the supposed current overemphasis on norms ofcoherence andinterdisciplinary integration in biology. On the normative level, I argue that these aremiddle-range norms which, although they may be misapplied in short-term attempts to solve (temporarily?) intractable problems, play a guiding role in the longer-term treatment of biological problems. This stance is supported by a case study of apartial success story, the development of the one gene — one enzyme hypothesis. (...) As that case shows, thegoal of coherent interdisciplinary integration not only provides guidance for research, but also provides the standard for recognizingfailed integrations of the sort that van der Steen criticizes. (shrink)

This paper analyses the broad methodological structure of population-biological theorising. In it, I show that the distinction between initial exploratory, hypothesis-generating research and the subsequent process-reconstructing, hypothesis-testing type of research is not being made. Rather, the hypotheses generated in population biology are elaborated in such detail that students confound the initial research phase with the subsequent hypotheses-testing phase of research. In this context, I therefore analyse some testing procedures within the exploration phase and show that, as an extreme form (...) of confusion, statistical null-models are mistakenly given the status of causal population-biological theory. (shrink)

The impact of philosophy of science on biology is slight. Evolutionary biology, however, is nowadays an exception. The status of the neo-Darwinian theory of evolution is seriously challenged from a methodological perspective. However, the methodology used in the relevant discussions is plainly defective. A correct application of methodology to evolutionary theory leads to the following conclusions. The theory of natural selection is unfalsifiable in a strict sense of the term. This, however, does not militate against the (...) theory, because no scientific theory whatever is testable in this way. Under a more liberal testability criterion, the theory is surely testable. None the less, certain research programs may tend to make the theory untestable in practice. It has often been argued that the tautologous character of the principle of natural selection, allegedly the focus of evolutionary theory, makes the theory untestable through circular reasoning. Actually, the principle is only a tautology if ‘fitness’ is wrongly defined in terms of actual survival. But even then circular reasoning need not ensue. Evolutionary principles do not permit, without additional information, the derivation of statements about evolutionary events concerning particular species or populations. If this were a reason to criticize the theory , any other scientific theory would be inadequate by the same token. (shrink)

Methodological analysis shows that the concepts of fitness and adaptation are more complex than the literature suggests. Various arguments against adaptationism are inadequate since they are couched in terms of unduly simplistic notions.

Methodological analysis shows that the concepts of fitness and adaptation are more complex than the literature suggests. Various arguments against ‘adaptationism’ are inadequate since they are couched in terms of unduly simplistic notions.

The impact of philosophy of science on biology is slight. Evolutionary biology, however, is nowadays an exception. The status of the neo-Darwinian (synthetic) theory of evolution is seriously challenged from a methodological perspective. However, the methodology used in the relevant discussions is plainly defective. A correct application of methodology to evolutionary theory leads to the following conclusions. (a) The theory of natural selection (the core of neo-Darwinism) is unfalsifiable in a strict sense of the term. This, (...) however, does not militate against the theory, because no scientific theory whatever is testable in this way. Under a more liberal testability criterion, the theory is surely testable. None the less, certain (not all) research programs may tend to make the theory untestable in practice. (b) It has often been argued that the tautologous character of the principle of natural selection, allegedly the focus of evolutionary theory, makes the theory untestable through circular reasoning. Actually, the principle is only a tautology if fitness is wrongly defined in terms of actual survival. But even then circular reasoning need not ensue. (c) Evolutionary principles do not permit, without additional information, the derivation of statements about evolutionary events concerning particular species or populations. If this were a reason to criticize the theory (as has been argued in the literature), any other scientific theory would be inadequate by the same token. (shrink)

Evolutionary ethics has recently become popular again. Some of its representatives elaborate new attempts to derive ethics from evolutionary biology. The attempts, like previous ones, fail because they commit the naturalistic fallacy. Premises from evolutionary biology together with normative premises also do not justify ethical principles. Other representatives argue that evolutionary considerations imply that ethics cannot be justified at all. Their arguments presuppose an unacceptable form of foundationalism. In principle, evolutionary biology might explain some aspects of morality, (...) but in practice explanations are hard to come by. All this does not imply that evolutionary theory is irrelevant in normative settings. To the contrary, it may help us devise guidelines in environmental policy and health care policy. It is to be hoped that evolutionary ethicists will divert their research efforts to the elaboration of such guidelines. (shrink)

Evolutionary epistemologists aim to explain the evolution of cognitive capacities underlying human knowledge and also the processes that generate knowledge, for example in science. There can be no doubt that our cognitive capacities are due in part to our evolutionary heritage. But this is an uninformative thesis. All features of organism have indeed been shaped by evolution. A substantive evolutionary explanation of cognition would have to provide details about the evolutionary processes involved. Evolutionary epistemology has not provided any details. Considering (...) progress of theorizing in science, evolutionary epistemologists have proposed many different analogies between natural selection and selection in science. As yet, the analogies have not been fruitful. The entire program of evolutionary epistemology is programmatic. Evolutionary epistemologists have also moved beyond explanation to justification, the primary issue in traditional epistemology. It turns out that their program presupposes that we can justify knowledge claims in traditional ways. Evolutionary biology is not a proper tool for the justification of beliefs. (shrink)

One of the major criticisms of optimal foraging theory (OFT) is that it is not testable. In discussions of this criticism opposing parties have confused methodological concepts and used meaningless biological concepts. In this paper we discuss such misunderstandings and show that OFr has an empirically testable, and even well-confirmed, general core theory. One of our main conclusions is that specific model testing should not be aimed at proving optimality, but rather at identifying the context in which certain types of (...) behaviour are optimal. To do this, it is necessary to be aware of the assumptions made in testing a model. The assumptions that are explicitly stated in the literature up to now do not completely cover the actual assumptions made in testing OFT models in practice. We present a more comprehensive set of assumptions. Although all the assumptions play a role in testing models, they are not of equal status. Crucial assumptions concern constraints and the relation between fitness and currency. Therefore, it is essential to make such assumptions testable in practice. We show that a more explicit relationship between OFT modelling and evolutionary theory can help with this. Specifically, phylogeny reconstruction and population dynamic modelling can and should be used to formulate assumptions concerning constraints and currencies. (shrink)

One of the major criticisms of optimal foraging theory is that it is not testable. In discussions of this criticism opposing parties have confused methodological concepts and used meaningless biological concepts. In this paper we discuss such misunderstandings and show that OFr has an empirically testable, and even well-confirmed, general core theory. One of our main conclusions is that specific model testing should not be aimed at ‘proving’ optimality, but rather at identifying the context in which certain types of behaviour (...) are optimal. To do this, it is necessary to be aware of the assumptions made in testing a model. The assumptions that are explicitly stated in the literature up to now do not completely cover the actual assumptions made in testing OFT models in practice. We present a more comprehensive set of assumptions. Although all the assumptions play a role in testing models, they are not of equal status. Crucial assumptions concern constraints and the relation between fitness and currency. Therefore, it is essential to make such assumptions testable in practice. We show that a more explicit relationship between OFT modelling and evolutionary theory can help with this. Specifically, phylogeny reconstruction and population dynamic modelling can and should be used to formulate assumptions concerning constraints and currencies. (shrink)

Various philosophers and evolutionary biologists have recently defended the thesis that species are individuals rather than sets. A decade of debates, however, did not suffice to settle the matter. Conceptual analysis shows that many of the key terms involved are ambiguous. Current disagreements should dissolve once this is recognized. Explication of the concepts involved leads to new programs for philosophical research. It could also help biology by showing how extant controversies concerning evolution may have conceptual rather than factual roots.

Methodological individualism is a thesis generally associated with the social sciences, the thesis that ultimately all social explanations should be given in terms of properties only of individuals, never of social groups, societies, etc. It is a methodological thesis grounded on a metaphysical view: it is impossible for a social group to have any property not entailed by properties of its constituent individuals. This latter thesis, finally, is a straightforward consequence of a standard reductionist assumption, that the behavior of wholes (...) can be fully accounted for in terms of the behavior of their parts. (shrink)

Biology cannot accommodate all aspects of culture. Aspects of culture that a biological approach can take into account can be covered by the biological categories of phenotype and environment. There is no need to treat culture as a separate category. Attempts to elaborate biological explanations of cultural variation will meet with success only if biologists expand theories of development, and integrate them in evolutionary biology. The alternative — elaborating the idea of so-called cultural inheritance — makes little sense (...) from a biological point of view. (shrink)

Zwart uses Hegel’s dialectical method to develop a dialectical methodology for assessing biology as technoscience during the Anthropocene. In this paper I will evaluate this use of Hegelian dialectics in biology. I will first elaborate the meaning of Hegel’s method of “Dialectics”. This helps me to evaluate Zwart’s dialectical scientific methodology from the perspective of Hegel’s method of “Dialectics” and to evaluate Zwart’s dialectical scientific methodology from the perspective of the praxis of biology. Finally, (...) I will oppose Zwart’s claim that the synthetic cell is an appropriate case study to demonstrate the relevance of dialectics for understanding contemporary biological research. (shrink)

Grime in a recently developed theory distinguished three basic plant strategies: stress tolerance,ruderality and competition. He relates them to environments characterized in terms of stress and disturbance. Classifications of strategies and environments both are ultimately defined in terms of production. This tends to make the theory tautological. If the theory is to make sense, environments had better be defined in independent terms.

Grime (1979) in a recently developed theory distinguished three basic plant strategies: stress tolerance,ruderality and competition. He relates them to environments characterized in terms of stress and disturbance. Classifications of strategies and environments both are ultimately defined in terms of production. This tends to make the theory tautological. If the theory is to make sense, environments had better be defined in independent terms.

Evolutionary epistemology takes various forms. As a philosophical discipline, it may use analogies by borrowing concepts from evolutionary biology to establish new foundations. This is not a very successful enterprise because the analogies involved are so weak that they hardly have explanatory force. It may also veil itself with the garbs of biology. Proponents of this strategy have only produced irrelevant theories by transforming epistemology's concepts beyond recognition. Sensible theories about knowledge and biology should presuppose that various (...) long-standing problems concerning relations between the mental and the physical are solved. Such problems are wrongly disregarded by evolutionary epistemologists. (shrink)

Various philosophers and evolutionary biologists have recently defended the thesis that species are individuals rather than sets. A decade of debates, however, did not suffice to settle the matter. Conceptual analysis shows that many of the key terms involved (individuation, evolutionary species, spatiotemporal restrictedness, individual) are ambiguous. Current disagreements should dissolve once this is recognized. Explication of the concepts involved leads to new programs for philosophical research. It could also help biology by showing how extant controversies concerning evolution may (...) have conceptual rather than factual roots. (shrink)

Evolutionary epistemology takes various forms. As a philosophical discipline, it may use analogies by borrowing concepts from evolutionary biology to establish new foundations. This is not a very successful enterprise because the analogies involved are so weak that they hardly have explanatory force. It may also veil itself with the garbs of biology. Proponents of this strategy have only produced irrelevant theories by transforming epistemology's concepts beyond recognition. Sensible theories about “knowledge and biology” should presuppose that various (...) long-standing problems concerning relations between the mental and the physical are solved. Such problems are wrongly disregarded by evolutionary epistemologists. (shrink)

On a common view of evolution, natural selection is the major force that produces evolutionary change. Selection is thought to operate on different types (genotypes or phenotypes) in populations so as to generate differential reproductive survival of these types. This should engender changes in population composition. The conception of selection as a "force" should be considered as a convenient shorthand that easily misleads us. Selection is not a factor over and above items such as temperature regimes, predators, and so forth. (...) These items do causal work in evolutionary processes. The term "selection" is merely an abstract placeholder for them. Differential reproductive survival thus appears to depend on particular environmental items that influence different types in different ways. Such items are properly regarded as the selective agents. On the face of it, selection processes must always be due to the operation of such agents. I argue that this is a mistaken assumption. Processes of selection may well occur in the absence of selective agents. That is because environmental factors may contribute to differential reproductive survival even if they do not affect different genotypes or phenotypes in different ways. Considering the role of the environment in selection, we should distinguish between selective agents and contributive agents. (shrink)

Optimality theory, particularly optimal foraging theory (OFT), has spurned controversy over decades. I argue that the controversy results from conceptual pitfalls. The focus in this article is on pitfalls underlying the concept of constraint. Constraints in OFT models are a means to distinguish between possible and impossible behaviours. I argue that the seemingly innocuous notion of (im)possibility is tricky. It is indeed linked here with troublesome philosophical problems concerning free will. To steer away from such problems in OFT, we need (...) to distinguish between hard and soft constraints. Such a distinction is necessarily context-dependent. This implies that OFT, to a large extent, should take the form of natural history rather than general theory. (shrink)

Apparently factual disagreement on the level(s) at which selection operates often results from different interpretations of the term selection. Attempts to resolve terminological problems must come to grips with a dilemma: a narrow interpretation of selection may lead to a restricted view on evolution; a broader, less precise, definition may wrongly suggest that selection is the centre of a unified, integrated theory of evolution. Different concepts of selection, therefore, should carefully be kept apart.

Rosenberg has rightly argued that fitness is supervenient. But he has wrongly assumed that this makes The fittest survive nontautologous. Supervenience makes strict reduction impossible. It sheds light on disputes concerning the testability of evolutionary theory.

Rosenberg has rightly argued that fitness is supervenient. But he has wrongly assumed that this makes “The fittest survive” nontautologous. Supervenience makes strict reduction impossible. It sheds light on disputes concerning the testability of evolutionary theory.

Apparently factual disagreement on the level at which selection operates often results from different interpretations of the term “selection”. Attempts to resolve terminological problems must come to grips with a dilemma: a narrow interpretation of “selection” may lead to a restricted view on evolution; a broader, less precise, definition may wrongly suggest that “selection” is the centre of a unified, integrated theory of evolution. Different concepts of selection, therefore, should carefully be kept apart.

This paper proposes an experiment-based methodology for both classical genetics and molecular biology by integrating Lindley Darden’s mechanism-centered approach and C. Kenneth Waters’s phenomenon-centered approach. We argue that the methodology basing on experiments offers a satisfactory account of the development of the two biological disciplines. The methodology considers discovery of new mechanisms, investigation of new phenomena, and construction of new theories together, in which experiments play a central role. Experimentation connects the three type of conduct, which (...) work as both ends and means, occurring in a circular way and constituting an overall process of scientific practice from classical genetics to molecular biology. (shrink)

Exploring what a scientific metaphysics grounded in biological practices could look like and how it might impact the way we investigate the world around us, the contributors to From Biological Practice to Scientific Metaphysics review and discuss long-held objections to metaphysics by natural scientists. They illuminate how, in order to learn about the world as it truly is, we must look not only at what scientists say but also what they do.