150 resultados para Moral reasoning


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Reasoning about problems with empirically false content can be hard, as the inferences that people draw are heavily influenced by their background knowledge. However, presenting empirically false premises in a fantasy context helps children and adolescents to disregard their beliefs, and to reason on the basis of the premises. The aim of the present experiments was to see if high-functioning adolescents with autism are able to utilize fantasy context to the same extent as typically developing adolescents when they reason about empirically false premises. The results indicate that problems with engaging in pretence in autism persist into adolescence, and this hinders the ability of autistic individuals to disregard their beliefs when empirical knowledge is irrelevant.

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Anger may be more responsive than disgust to mitigating circumstances in judgments of wrongdoing. We tested this hypothesis in two studies where we had participants envision circumstances that could serve to mitigate an otherwise wrongful act. In Study 1, participants provided moral judgments, and ratings of anger and disgust, to a number of transgressions involving either harm or bodily purity. They were then asked to imagine and report whether there might be any circumstances that would make it all right to perform the act. Across transgression type, and controlling for covariance between anger and disgust, levels of anger were found to negatively predict the envisioning of mitigating circumstances for wrongdoing, while disgust was unrelated. Study 2 replicated and extended these findings to less serious transgressions, using a continuous measure of mitigating circumstances, and demonstrated the impact of
anger independent of deontological commitments. These findings highlight the differential relationship that anger and disgust have with the ability to envision mitigating factors.

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Based on the Dempster-Shafer (D-S) theory of evidence and G. Yen's (1989), extension of the theory, the authors propose approaches to representing heuristic knowledge by evidential mapping and pooling the mass distribution in a complex frame by partitioning that frame using Shafter's partition technique. The authors have generalized Yen's model from Bayesian probability theory to the D-S theory of evidence. Based on such a generalized model, an extended framework for evidential reasoning systems is briefly specified in which a semi-graph method is used to describe the heuristic knowledge. The advantage of such a method is that it can avoid the complexity of graphs without losing the explicitness of graphs. The extended framework can be widely used to build expert systems

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Three studies demonstrated that the moral judgments of religious individuals and political conservatives are highly insensitive to consequentialist (i.e., outcome-based) considerations. In Study 1, both religiosity and political conservatism predicted a resistance toward consequentialist thinking concerning a range of transgressive acts, independent of other relevant dispositional factors (e.g., disgust sensitivity). Study 2 ruled out differences in welfare sensitivity as an explanation for these findings. In Study 3, religiosity and political conservatism predicted a commitment to judging “harmless” taboo violations morally impermissible, rather than discretionary, despite the lack of negative consequences rising from the act. Furthermore, non-consequentialist thinking style was shown to mediate the relationship religiosity/conservatism had with impermissibility judgments, while intuitive thinking style did not. These data provide further evidence for the influence of religious and political commitments in motivating divergent moral judgments, while highlighting a new dispositional factor, non-consequentialist thinking style, as a mediator of these effects.

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CCTV systems are broadly deployed in the present world. Despite this, the impact on anti-social and criminal behaviour has been minimal. Subject reacquisition is a fundamental task to ensure in-time reaction for intelligent surveillance. However, traditional reacquisition based on face recognition is not scalable, hence in this paper we use reasoning techniques to reduce the computational effort which deploys the time-of-flight information between interested zones such as airport security corridors. Also, to improve accuracy of reacquisition, we introduce the idea of revision as a method of post-processing.We demonstrate the significance and usefulness of our framework with an experiment which shows much less computational effort and better accuracy.

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Smart Spaces, Ambient Intelligence, and Ambient Assisted Living are environmental paradigms that strongly depend on their capability to recognize human actions. While most solutions rest on sensor value interpretations and video analysis applications, few have realized the importance of incorporating common-sense capabilities to support the recognition process. Unfortunately, human action recognition cannot be successfully accomplished by only analyzing body postures. On the contrary, this task should be supported by profound knowledge of human agency nature and its tight connection to the reasons and motivations that explain it. The combination of this knowledge and the knowledge about how the world works is essential for recognizing and understanding human actions without committing common-senseless mistakes. This work demonstrates the impact that episodic reasoning has in improving the accuracy of a computer vision system for human action recognition. This work also presents formalization, implementation, and evaluation details of the knowledge model that supports the episodic reasoning.

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During his forty-year curatorship of the Royal Dublin Society's botanical gardens in Glasnevin (1838–1879), David Moore undertook a number of excursions to continental Europe. These served to deepen the networks of plant exchange between Dublin and other botanical institutions and allowed him to examine the relationships between climate, plant survivability and societal development. This paper focuses on two trips taken in the 1860s to Scandinavia and Iberia and charts how Moore situated his experience of these places within a climatic hermeneutic. Moore's understanding of northern and southern Europe was organized around a set of judgments about their relative backwardness or advancement with respect to his experience of home and was seen through the lens of a moral climatology. Moreover, his Scots Presbyterian background and his commitment to natural theology informed his interpretation of the landscapes he encountered in his excursions across Europe.

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A sample of 99 children completed a causal learning task that was an analogue of the food allergy paradigm used with adults. The cue competition effects of blocking and unovershadowing were assessed under forward and backward presentation conditions. Children also answered questions probing their ability to make the inference posited to be necessary for blocking by a reasoning account of cue competition. For the first time, children's working memory and general verbal ability were also measured alongside their causal learning. The magnitude of blocking and unovershadowing effects increased with age. However, analyses showed that the best predictor of both blocking and unovershadowing effects was children's performance on the reasoning questions. The magnitude of the blocking effect was also predicted by children's working memory abilities. These findings provide new evidence that cue competition effects such as blocking are underpinned by effortful reasoning processes.