Population thinking and natural selection in dual-inheritance theory

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

Embedding and customizing templates in cross-disciplinary modeling

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.</p

Robust! -- Handle with care

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

Robustness analysis

Forthcoming in The Routledge Handbook of Philosophy of Scientific Modeling, ed. by Natalia Carrillo, Tarja Knuuttila and Rami Koskinen This chapter is devoted to robustness analysis, a common practice in modelling, where researchers vary features of a model and study the impact of changes on its behavior. After presenting the three most prominent types discussed in the philosophical literature, the chapter reviews the debate surrounding the epistemic role of this practice, focusing on the contested issue of its evidential import. The discussion highlights the multiple roles of robustness analysis, including the value of not establishing the robustness of a particular modeling result

Academic Research Values: Conceptualization and Initial Steps of Measure Development

In this paper we draw on value theory in social psychology to conceptualize the range of motives that may influence research-related attitudes, decisions, and actions of researchers. To conceptualize academic research values, we integrate theoretical insights from the personal, work, and scientific work values literature, as well as the responses of 6 interviewees and 255 survey participants about values relevant to academic research. Finally, we propose a total of 246 academic research value items spread over 11 dimensions and 36 sub-themes. We relate our conceptualization and item proposals to existing work and provide recommendations for future measurement development. Gaining a better understanding of the different values researchers have, is useful to improve scientific careers, make science attractive to a more diverse group of individuals, and elucidate some of the mechanisms leading to exemplary and questionable science

Scientific disagreements and the diagnosticity of evidence: how too much data may lead to polarization

Scientific disagreements sometimes persist even if scientists fully share results of their research. In this paper we develop an agent-based model to study the impact of diverging diagnostic values scientists may assign to the evidence, given their different background assumptions, on the emergence of polarization in the scientific community. Scientists are represented as Bayesian updaters for whom the diagnosticity of evidence is given by the Bayes factor. Our results suggest that an initial disagreement on the diagnostic value of evidence can, but does not necessarily, lead to polarization, depending on the sample size of the performed studies and the confidence interval within which scientists share their opinions. In particular, the more data scientists share,the more likely it is that the community will end up polarized

Functions and the aesthetics of technical artefacts

In this paper, it is examined to what extent functions, as analysed in the philosophy of technical artefacts, can serve a role in explaining the aesthetic appreciation of these objects. The main conclusion is that, despite first appearances, so-called ‘Functional Beauty’ accounts cannot derive strength from analyses of artefact functions; on the contrary, these analyses constrain the possibilities for developing a suitable, function-based account of aesthetic appreciation. The paper follows a conceptual-engineering approach. After presenting desiderata for an account of aesthetic appreciation, relevant insights are reviewed that are drawn from philosophical work on artefact functions. Combining the desiderata and insights, three major issues are identified that complicate the relation between function ascriptions to and aesthetic appreciation of technical artefacts. In closing, options are offered for resolving these complications or avoiding them altogether

Transfer and templates in scientific modeling

The notion of (computational) template has recently been discussed in relation to cross-disciplinary transfer of modeling efforts and in relation to the representational content of models. We further develop and disambiguate the notion of template and find that, suitably developed, it is useful in distinguishing and analyzing different types of transfer, none of which supports a non-representationalist view of models. We illustrate our main findings with the modeling of technology substitution with Lotka-Volterra Competition equations