In the debate on the basis of moral equality, one conclusion achieves near consensus: that we must reject all accounts that ground equality in the possession of some psychological capacity (Psychological Capacity Accounts). This widely held view crystallises around three objections. The first is the Arbitrariness Objection, which holds that the threshold at which the possession of the relevant capacities places an individual within the required range is arbitrary. The second is the Variations Objection, which holds that there is rational pressure to acknowledge that variations in psychological capacities between individuals are morally relevant. The third is the No Rational Agency Objection, according to which Psychological Capacity Accounts have unpalatable implications for our treatment of humans who do not possess the relevant capacities. We develop a Psychological Capacity Account based on the capacity for a conception of the good and offer a novel defence of the account against these objections. 相似文献
Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the number of samples, or “particles,” available to perform inference. To test this idea, we focus on two recent experiments that report positive associations between WMC and two distinct aspects of categorization performance: the ability to learn novel categories, and the ability to switch between different categorization strategies (“knowledge restructuring”). In favor of the idea of modeling WMC as a number of particles, we show that a single model can reproduce both experimental results by varying the number of particles—increasing the number of particles leads to both faster category learning and improved strategy‐switching. Furthermore, when we fit the model to individual participants, we found a positive association between WMC and best‐fit number of particles for strategy switching. However, no association between WMC and best‐fit number of particles was found for category learning. These results are discussed in the context of the general challenge of disentangling the contributions of different potential sources of behavioral variability. 相似文献
The relationship between hopelessness and depression in predicting suicide‐related outcomes varies based on the anticipation of positive versus negative events. In this prospective study of adolescents at elevated risk for suicide, we used two Beck Hopelessness Scale subscales to assess the impact of positive and negative expectations in predicting depression, suicidal ideation, and suicidal behavior over a 2‐ to 4‐year period. In multivariate regressions controlling for depression, suicidal ideation, and negative‐expectation hopelessness, positive‐expectation hopelessness was the only significant predictor of depressive symptoms and suicidal behavior. Clinical interventions may benefit from bolstering positive expectations and building optimism. 相似文献
Anti‐intellectualists about knowledge‐how insist that, when an agent S knows how to φ, it is in virtue of some ability, rather than in virtue of any propositional attitudpaes, S has. Recently, a popular strategy for attacking the anti‐intellectualist position proceeds by appealing to cases where an agent is claimed to possess a reliable ability to φ while nonetheless intuitively lacking knowledge‐how to φ. John Bengson and Marc Moffett and Carlotta Pavese have embraced precisely this strategy and have thus claimed, for different reasons, that anti‐intellectualism is defective on the grounds that possessing the ability to φ is not sufficient for knowing how to φ. We investigate this strategy of argument‐by‐counterexample to the anti‐intellectualist's sufficiency thesis and show that, at the end of the day, anti‐intellectualism remains unscathed. 相似文献
We argue that causal decision theory (CDT) is no worse off than evidential decision theory (EDT) in handling entanglement, regardless of one’s preferred interpretation of quantum mechanics. In recent works, Ahmed (Evidence, decision, and causality, Cambridge University Press, Cambridge, 2014) and Ahmed and Caulton (Synthese, 191(18): 4315–4352, 2014) have claimed the opposite; we argue that they are mistaken. Bell-type experiments are not instances of Newcomb problems, so CDT and EDT do not diverge in their recommendations. We highlight the fact that a Causal Decision Theorist should take all lawlike correlations into account, including potentially acausal entanglement correlations. This paper also provides a brief introduction to CDT with a motivating “small” Newcomb problem. The main point of our argument is that quantum theory does not provide grounds for favouring EDT over CDT.