Wybo Houkes

The consensus among cultural evolutionists seems to be that human cultural evolution is cumulative, which is commonly understood in the specific sense that cultural traits, especially technological traits, increase in complexity over generations. Here we argue that there is insufficient credible evidence in favor of or against this technological complexity thesis. For one thing, the few datasets that are available hardly constitute a representative sample. For another, they substantiate very specific, and usually different versions of the complexity thesis or, even worse, do not point to complexity increases. We highlight the problems our findings raise for current work in cultural-evolutionary theory, and present various suggestions for future research.

Digital artifacts often fail to perform as expected. It has recently been argued that this should not be analyzed as software malfunctioning. Rather, every case that is not the result of hardware failures would be due to design errors. This claim, which hinges on the notion of ‘implementation’, highlights a potential fundamental difference between software and other technical artifacts. It also implies that software engineers have more extensive responsibilities than creators of other artifacts. After reconstructing the argument, we show that it rests on two presuppositions regarding the nature of software and the activities of its creators, which we call ‘complete control’ and ‘self-containedness’. Software is taken to be a self-contained unit through which the software engineer exerts complete control over a machine’s behavior. These two presuppositions as well as the usage of implementation and strong claims regarding responsibility can be found throughout the literature on software engineering. Still, we argue that the presuppositions are untenable in light of current practices. For one thing, software engineers cannot exert complete control because software has become too complex for any technique to reliably locate every fault in it. For another, the creation and running of software are nowadays heavily mediated processes involving many agential activities. As a result, the performance of digital artifacts may vary, often in undesirable ways, without either hardware failures or design errors. This undermines the conclusion that software cannot malfunction, while also revealing the complications in developing a metaphysical account of software that fits contemporary practices.

Functional claims about technical artefacts set a second stage on which theories of functions can prove themselves. We present a general framework for understanding theories of technical functions. In particular, we argue that theories of technical functions can be seen as sophisticated combinations of three archetypical accounts, which we call the intentional account, the causal-role account and the evolutionist account. These abstracted, general theories of functions apply to both biology and technology, all with their respective drawbacks and benefits. When focusing on technology these drawbacks and benefits appear complementary, suggesting that the archetypes can be combined into a tenable analysis of technical functions. We argue that straightforward combinations inherit the drawbacks of the archetypes or have new ones. Then, we show that three existing theories of technical functions – our own ICE theory and alternatives devised by Krohs and by Longy – can be taken as sophisticated combinations. In each theory, one of the archetypes is corrected by incorporating elements of the others. Finally, we consider the applicability of our three-archetype framework to function theories that apply to biology as well as to technology.

In this paper we examine the possibilities of combining two central intuitions about artefacts: that they are functional objects, and that they are non-natural objects. We do so in four steps. First we argue that, contrary to common opinion, functions cannot be the cornerstone of a characterisation of artefacts. Our argument suggests an alternative view, which characterises artefacts as objects embedded in what we call use plans. Second, we show that this plan-centred successor of the function-focused view is at odds with the non-naturalness intuition. Third, we show that this intuition can be developed by defining artefacts as produced or human-made objects, but that the resulting definition might collapse into the plan-centred view, and has trouble distinguishing artefact types or kinds. Finally, we propose a division of labour between production and use plans: among objects in general, artefacts are distinguished as human-made objects; within the domain of artefacts, types or kinds are characterised by the use plans in which artefacts are embedded.

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.

The philosophy of artifacts is as marginal as it is one-sided. The majority of contributions to it are asides in works devoted to other subjects and focus on one characteristic feature: that artifacts are objects with functions. Indeed many artifacts, such as screwdrivers and toasters, come in functional kinds. Perhaps for this reason, philosophers elevated functions to the essences of artifacts or have developed general theories of function to describe artifacts along with their main subject: biological items. Most such theories present one monolithic notion of function that applies to both. Dissident voices claim autonomy for artifact functions, or at least a small measure of conceptual independence, but it is seldom questioned that a theory of artifacts consists merely of a theory of artifact functions.

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.

The notion of 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.

In this paper we use our work in the philosophy of technology to formulate a pluralist view on artefact categories and categorisation principles, as studied in cognitive science. We argue, on the basis of classifications derived by philosophical reconstruction, that artefacts can be clustered in more than one way, and that each clustering may be taken as defining psychological artefact categories. We contrast this pluralism with essentialism and super-minimalism on artefact categories and we argue that pluralism is coherent with experimental results regarding the context-dependence of artefact categorisation