Much of the time, human beings seem to rely on habits. Habits are learned behaviours directly elicited by context cues, and insensitive to short-term changes in goals: therefore they are sometimes irrational. But even where habitual responses are rational, it can seem as if they are nevertheless not done for reasons. For, on a common understanding of habitual behaviour, agents’ intentions do not play any role in the coming about of such responses. This paper discusses under what conditions we can (...) say that habitual responses are, after all, done for reasons. We show how the idea that habitual behaviour cannot be understood as ‘acting for reasons’ stems from a widely but often implicitly held theoretical framework: the causal theory of action. We then propose an alternative, Anscombean understanding of intentional action, which can account for habitual responses being done for reasons. (shrink)

Autonomous e-coaching systems offer their users suggestions for action, thereby affecting the user's decision-making process. More specifically, the suggestions that these systems make influence the options for action that people actually consider. Surprisingly though, options and the corresponding process of option generation --- a decision-making stage preceding intention formation and action selection --- has received very little attention in the various disciplines studying decision making. We argue that this neglect is unjustified and that it is important, particularly for designers of (...) autonomous e-coaching systems, to understand how human option generation works. The aims of this paper are threefold. The first aim is to generate awareness with designers of autonomous e-coaching systems that these systems do in fact influence their users' options. The second is to show that understanding the interplay between a person's options and the e-coaching system's suggestions is important for improving the effectiveness of the system. The third is that the very same interplay is also crucial for designing e-coaching systems that respect people's autonomy. (shrink)

According to Oude Maatman (2020), our recent suggestion (Borsboom et al., 2019) that symptom networks are irreducible because they rely on folk psychological descriptions, threatens to undermine the main achievements of the network approach. In this article, we take up Oude Maatman’s challenge and develop an argument showing in what sense folk psychological concepts describe features of reality, and what it means to say that folk psychology is a causal language.