Wybo Houkes

The aim of this paper is to evaluate etiological accounts of functions for the domain of technical artefacts. Etiological theories ascribe functions to items on the basis of the causal histories of those items; they apply relatively straightforwardly to the biological domain, in which neo-Darwinian evolutionary theory provides a well-developed and generally accepted background for describing the causal histories of biological items. Yet there is no well-developed and generally accepted theory for describing the causal history of artefacts, so the application of etiological theories to the technical domain is hardly straightforward. In this paper we consider the transposition of etiological theories in general from the biological to the technical domain. We argue that a number of etiological theories that appear defensible for biology become untenable for technology. We illustrate our argument by showing that the standard etiological accounts of Neander and Millikan, and some recent attempts to improve on them, provide examples of such untenable theories. 1 Introduction 2 Desiderata for theories of functions 3 Etiological theories in general 3.1 Common core and divergent aims 3.2 Reproduction versus non-reproduction etiological theories 3.3 Intentionalist versus non-intentionalist etiological theories 4 Problems for etiological theories in the technical domain 5 The failure of existing reproduction theories 6 The failure of existing non-reproduction theories 7 Improving reproduction by hybridisation 8 Conclusions.

In this paper, I study the application of phylogenetic analysis in evolutionary archaeology. I show how transfer of this apparently general analytic tool is affected by salient differences in disciplinary context. One is that archaeologists, unlike many biologists, do not regard cladistics as a tool for classification, but are primarily interested in explanation. The other is that explanation is traditionally sought in terms of individual-level rather than population-level mechanisms. The latter disciplinary difference creates an ambiguity in the application and interpretation of phylogenetic analyses. Moreover, I argue that, while archaeologists have claimed that “cladistics is useful for reconstructing artefact phylogenies”, these reconstructions only contribute minimally to the explanatory research agenda of evolutionary archaeology

Michael Weisberg has argued that robustness analysis is useful in evaluating both scientific models and their implications and that robustness analysis comes in three types that share their form and aim. We argue for three cautionary claims regarding Weisberg's reconstruction: robustness analysis may be of limited or no value in evaluating models and their implications; the unificatory reconstruction conceals that the three types of robustness differ in form and role; there is no confluence of types of robustness. We illustrate our central first claim with a case study: the application of Lotka-Volterra models to technology diffusion.

I argue that technological functions warrant specific epistemological attention, which they have not received thus far. From a user’s perspective, knowledge about the possible functions of an artefact is not provided exclusively by beliefs about its physical characteristics; it is primarily provided by know-how related to its use. Analysing the latter shows that standards of practical and not just theoretical reasoning are involved. Moreover, knowledge of the function of artefacts is primarily based on testimony and a social division of labour with respect to rational artefact use. Combining these two features, knowledge of functions can be shown to create a rich normative context, manifest in notions such as ‘improper’ use: designers inform users about how they ought to use artefacts. This normativity in knowledge of functions, which takes a different shape for possible and proper functions, is lacking in standard, descriptive knowledge.Keywords: Epistemology; Function; Knowing-how; Testimony; Artefact; Practical rationality.

The human enhancement debate typically centres on moral issues regarding changes in human nature, not on the means for these changes. We argue that one cannot grasp what is morally salient about human enhancement without understanding how technologies affect human action and practical reasoning. We present a minimalist conception of human agents as bounded practical reasoners. Then, we categorise different effects of technologies on our possibilities for action and our evaluation of these possibilities. For each, we discuss whether enhancement technologies have morally salient effects; which technologies show these effects; and whether these differ significantly from those of other, non-enhancement technologies. We conclude that enhancement technologies are morally salient in several respects, that not all enhancement technologies share all those morally salient respects, and that continuities with traditional technologies may be found in all morally salient respects.

A deflationary perspective on theories of cultural evolution, in particular dual-inheritance theory, has recently been proposed by Lewens. On this ‘pop-culture’ analysis, dual-inheritance theorists apply population thinking to cultural phenomena, without claiming that cultural items evolve by natural selection. This paper argues against this pop-culture analysis of dual-inheritance theory. First, it focuses on recent dual-inheritance models of specific patterns of cultural change. These models exemplify population thinking without a commitment to natural selection of cultural items. There are grounds, however, for doubting the added explanatory value of the models in their disciplinary context—and thus grounds for engaging in other potentially explanatory projects based on dual-inheritance theory. One such project is suggested by advocates of the theory. Some of the motivational narratives that they offer can be interpreted as setting up an adaptationist project with regard to cumulative change in cultural items. We develop this interpretation here. On it, dual-inheritance theory features two interrelated selection processes, one on the level of genetically inherited learning mechanisms, another on the level of the cultural items transmitted through these mechanisms. This interpretation identifies a need for further modelling efforts, but also offers scope for enhancing the explanatory power of dual-inheritance theory

In this paper, I present a model of application-oriented science, to supplement existing work in science and technology studies on the re-orientation of scientific research. On this “branch-formation” model, research efforts may be guided by non-epistemic values without compromising their epistemic value: they may involve completion of mechanism representations that serve control over these mechanisms while also adding to our understanding of them. I illustrate this model with a case study from photovoltaic technology, involving the possible use of materials with the so-called ‘perovskite’ structure in dye-sensitized solar cells. The paper has three parts. The first argues how existing work on the increasing application-orientedness of scientific research can and must be supplemented with a perspective from the philosophy of science. The second presents the branch-formation model, which combines central ideas of the ‘finalization-of-science’ program of the Starnberg school with recent work in ‘mechanistic’ philosophy of science and in the philosophy of technology. The third part illustrates the branch-formation model with current developments in research on perovskite solar cells.

In this paper, I develop a template-based analysis to include several elements of _processes_ through which templates are transferred between fields of inquiry. The analysis builds on Justin Price’s identification of the importance of a “landing zone” in the recipient domain, from which “conceptual pressure” may be created. I will argue that conceptual pressure is a characteristic feature of the process of template transfer; that this means that there are costs to the process of transfer as well as benefits; and that it would be reasonable if modelers try to mitigate these costs. I will discuss two such mitigation strategies: ‘conceptual embedding’ and ‘customization’. I illustrate the claims, focusing on the mitigation strategies, with a case study: that of pioneering applications of reaction–diffusion equations in mathematical ecology.

About three decades ago, the late Ronald Giere introduced a new framework for teaching scientific reasoning to science students. Giere’s framework presents a model-based alternative to the traditional statement approach—in which scientific inferences are reconstructed as explicit arguments, composed of (single-sentence) premises and a conclusion. Subsequent research in science education has shown that model-based approaches are particularly effective in teaching science students how to understand and evaluate scientific reasoning. One limitation of Giere’s framework, however, is that it covers only one type of scientific reasoning, namely the reasoning deployed in hypothesis-driven research practices. In this paper, we describe an extension of the framework. More specifically, we develop an additional model-based scheme that captures reasoning in application-oriented practices (which are very well represented in contemporary science). Our own teaching experience suggests that this extended framework is able to engage a wider audience than Giere’s original. With an eye on going beyond such anecdotal evidence, we invite our readers to test out the framework in their own teaching.