I argue that there is a tension between the claim that at least some kinds in the special sciences are multiply realized and the claim that the reason why kinds are prized by science is that they enter into a variety of different empirical generalizations. Nevertheless, I show that this tension ceases in the case of ‘cultural homologues’—such as specific ideologies, religions, and folk wisdom. I argue that the instances of such special science kinds do have several projectable properties in (...) common due to their shared history of reproduction, and that the social learning involved means that we should also expect these kinds to be multiply realized. (shrink)

The traditional practice of establishing morphological types and investigating morphological organization has found new support from evolutionary developmental biology (evo-devo), especially with respect to the notion of body plans. Despite recurring claims that typology is at odds with evolutionary thinking, evo-devo offers mechanistic explanations of the evolutionary origin, transformation, and evolvability of morphological organization. In parallel, philosophers have developed non-essentialist conceptions of natural kinds that permit kinds to exhibit variation and undergo change. This not only facilitates a construal of species (...) and higher taxa as natural kinds, but also broadens our perspective on the diversity of kinds found in biology. There are many different natural kinds relevant to the investigative and explanatory aims of evo-devo, including homologues and developmental modules. (shrink)

The aim of this paper is to argue that logic can play an important role in the “toolbox” of molecular biology. We show how biochemical pathways, i.e., transitions from a molecular aggregate to another molecular aggregate, can be viewed as deductive processes. In particular, our logical approach to molecular biology — developed in the form of a natural deduction system — is centered on the notion of Curry-Howard isomorphism, a cornerstone in nineteenth-century proof-theory.

This paper analyzes the notion of possibility in biology and demonstrates how synthetic biology can provide understanding on the modal dimension of biological systems. Among modal concepts, biological possibility has received surprisingly little explicit treatment in the philosophy of science. The aim of this paper is to argue for the importance of the notion of biological possibility by showing how it provides both a philosophically and biologically fruitful category as well as introducing a new practically grounded way for its assessment. (...) More precisely, we argue that synthetic biology can provide tools to scientifically anchor reasoning about biological possibilities. Two prominent strategies for this are identified and analyzed: the design of functionally new-to-nature systems and the redesign of naturally occurring systems and their parts. These approaches allow synthetic biologists to explore systems that are not normally evolutionarily accessible and draw modal inferences that extend in scope beyond their token realizations. Subsequently, these results in synthetic biology can also be relevant for discussions on evolutionary contingency, providing new methods and insight to the study of various sources of unactualized possibilities in biology. (shrink)

This discussion paper describes the attempt of an imagined group of non-ecologists to determine the population growth rate from field data. The Modellers wrestle with the multiple definitions of the growth rate available in the literature and the fact that, in their modelling, it appears to be drastically model-dependent, which seems to throw into question the very concept itself. Specifically, they observe that six representative models used to capture the data produce growth-rate values, which differ significantly. Almost ready to concede (...) that the problem they set for themselves is ill-posed, they arrive at an alternative point of view that not only preserves the identity of the concept of the growth rate, but also helps discriminate between competing models for capturing the data. This is accomplished by assessing how robustly a given model is able to generate growth-rate values from randomized time-series data. This leads to the proposal of an iterative approach to ecological modelling in which the definition of theoretical concepts and model selection complement each other. The paper is based on high-quality field data of mites on apple trees and may be called a “data-driven opinion piece”. (shrink)

RESUMENSegún un punto de vista muy difundido, y alineado con la concepción nómica de la explicación causal, la biología funcional está sometida a un régimen de heteronomía explicativa en cuyo marco los fenómenos orgánicos deben explicarse causalmente recurriendo a leyes oriundas de la física y la química. En contra de esa perspectiva, la concepción experimental de la causación permite entender la naturaleza de muchas explicaciones biológicas que, sin hacer referencia a leyes causales - físicas, químicas o de cualquier otra naturaleza (...) - se legitiman por el hecho de ponernos en condiciones de controlar experimentalmente fenómenos relativos al funcionamiento y a la constitución de los organismos. Esas explicaciones suponen invariantes locales que muchas veces, pero no necesariamente, podrán llegar a ser caracterizados como instancias de leyes físico-químicas. ABSTRACTIn accordance with a widespread point of view, aligned with the nomological conception of causal explanation, Functional Biology is subjected to a regime of explanatory heteronomy under which, organic phenomena should be causally explained by using laws of Physics and Chemistry. Against this perspective, the experimental conception of causation allows us to understand the nature of many biological explanations that, without make any reference to causal laws - physical, chemical or of other nature - are legitimized because they permit the experimental control of phenomena that have to do with the functioning and development of organisms. These explanations involve local invariants that often, but not necessarily, may be characterized as instances of physical and chemical laws. (shrink)

Según un punto de vista muy difundido, y alineado con la concepción nómica de la explicación causal, la biología funcional está sometida a un régimen de heteronomía explicativa en cuyo marco los fenómenos orgánicos deben explicarse recurriendo a leyes oriundas de la física y la química. En contra de esa perspectiva, la concepción experimental de la causación permite entender la naturaleza de muchas explicaciones biológicas que, sin hacer referencia a leyes causales – físicas, químicas o de cualquier otra naturaleza – (...) se legitiman por el hecho de ponernos en condiciones de controlar experimentalmente fenómenos relativos al funcionamiento y a la constitución de los organismos. Esas explicaciones suponen invariantes locales que muchas veces, pero no necesariamente, podrán llegar a ser caracterizados como instancias de leyes físico químicas. (shrink)