Generative models have been proposed as a new type of non-representational scientific models recently. A generative model is characterized with the capacity of producing new models on the basis of the existing one. The current accounts do not explain sufficiently the mechanism of the generative capacity of a generative model. I attempt to accomplish this task in this paper. I outline two antecedent accounts of generative models. I point out that both types of generative models function to generate new homogenous (...) models in the sense that the latter is a straightforward derivative of the former, both of which share many similar features. Unfortunately, both accounts are implicit about the generative capacity of generative models. Using a case study, I articulate that a two-staged process of abstraction and idealization in modeling may contribute to the generative capacity of a scientific model. I also demonstrate that this two-staged process may go beyond the capacity of generating new homogenous models to generating new heterogeneous models. (shrink)

Many things that humans put together humans also put to use. Among these are certain forms of knowledge. Science studies and the sociology of knowledge have contributed great insight into scientist...

The emerging field of synthetic biology aims to engineer novel biological entities. The envisioned future bio-based economy builds largely on “cell factories”: organisms that have been metabolically engineered to sustainably produce substances for human ends. In this paper, we argue that synthetic biology’s goal of creating efficient production vessels for industrial applications implies a set of ontological assumptions according to which living organisms are machines. Traditionally, a machine is understood as a technological, isolated and controllable production unit consisting of parts. (...) But modified organisms, or hybrids, require us to think beyond the machine paradigm and its associated dichotomies between artificial and natural, organisms and artefacts. We ask: How may we conceptualise hybrids beyond limiting ontological categories? Our main claim is that the hybrids created by synthetic biology should be considered not as machines but as metabolic systems. We shall show how the philosophical account of metabolism can inform an ontology of hybrids that moves beyond what we call the “machine ontology”, considering that metabolism enables thinking beyond the dominant dichotomies and allows us to understand and design lifeforms in a bio-based economy. Thus, the aim of this paper is twofold: first, to develop the philosophical ontology of hybrids, and second, to move synthetic biology beyond the problematically limiting view of hybrids. (shrink)

In this paper I assess the explanatory powers of theories of function in the context of products that may result from synthetic biology. The aim is not to develop a new theory of functions, but to assess existing theories of function in relation to a new kind of biological and artifactual entity that might be produced in the not-too-distant future by means of synthetic biology. The paper thus investigates how to conceive of the functional nature of living systems that are (...) not the result of evolution by natural selection, or instantly generated by cosmic coincidence, but which are products of intelligent design. The paper argues that the aetiological theory of proper functions in organisms and artifacts is inadequate as an account of proper functions in such ‘Paley organisms’ and defends an alternative organisational approach. The paper ends by considering the implications of the discussion of biological function for questions about the interests and moral status of non-sentient organisms. (shrink)