Influences of credibility of testimony and strength of statistical evidence on children’s and adolescents’ reasoning

According to dual-process models that include analytic and heuristic modes of processing, analytic processing is often expected to become more common with development. Consistent with this view, on reasoning problems, adolescents are more likely than children to select alternatives that are backed by statistical evidence. It is shown here that this pattern depends on the quality of the statistical evidence and the quality of the testimonial that is the typical alternative to statistical evidence. In Experiment 1, 9- and 13-year-olds (N = 64) were presented with scenarios in which solid statistical evidence was contrasted with casual or expert testimonial evidence. When testimony was casual, children relied on it but adolescents did not; when testimony was expert, both children and adolescents relied on it. In Experiment 2, 9- and 13-year-olds (N = 83) were presented with scenarios in which casual testimonial evidence was contrasted with weak or strong statistical evidence. When statistical evidence was weak, children and adolescents relied on both testimonial and statistical evidence; when statistical evidence was strong, most children and adolescents relied on it. Results are discussed in terms of their implications for dual-process accounts of cognitive development.     

High cost helping scenario: The role of empathy,prosocial reasoning and moral disengagement on helping behavior

This study aimed to investigate the process that leads people to offer or omit help in response to an explicit request for assistance, taking into account both emotional and cognitive factors. Specifically, a hypothetical scenario methodology was used in a sample of 174 Italian youths (50% males) to examine whether and how factors such as empathy, prosocial moral reasoning and moral disengagement influence the propensity to help when providing assistance is not in the individual’s personal interest. While a few previous studies have included moral disengagement as an antecedent of prosocial decision making, we highlight the significance of this factor in the avoidance of moral responsibility towards others in need. The results highlight two ways in which differences in emotional tendencies and moral-cognitive processes may operate in prosocial decision making in high personal cost situations. First, high empathy levels could promote an altruistic response which in turn fosters mature prosocial moral reasoning. Second, personal distress may enhance moral disengagement mechanisms that may facilitate self-centred behaviors.     

The Management of Risk in the Global Service Economy 1

The effects of the transformation to a service economy on the management of vulnerability and uncertainty are discussed. After discussing the notion and role of risks in different kinds of cultural and economic environments, he closes with a plea for closer cooperation between entrepreneurs, engineers and economists: together they can transform the risks and vulnerabilities of the modern service economy into a challenge for progress.     

Undecidable Decisions: Rationality Limits and Decision-making Heuristics

In this article the theoretic evolution and the empirical-experimental efforts that have led to the affirmation of the bounded/procedural rationality paradigm are discussed. Moreover, the debate on supporters of the “optimization” approach and supporters of the “bounded/procedural rationality” approach is traced, highlighting the irreconcilability of these two approaches and, in retort, a solid defense against a merely “reductionist” attempt of the innovative context of the Simonian theory. Critically going over the debate on decision dynamics, it becomes clear how, due to the uncertain nature of rational processes, it is impossible to establish the decision-making best way. The imperfect character of individual choice is explained by how the decider identifies a solution that appears satisfying in that moment due to cognitive and temporal limits.     

Influence of motivated reasoning on saving and spending decisions

The decision to save enhances well-being in the long-term but it conflicts with the desire to spend money to gain immediate gratification. In this research, we examine the influence of having single versus multiple accounts on individuals’ savings and spending decisions. We find that individuals save more with a single account than with multiple liquid accounts. Utilizing work on motivated reasoning and fuzzy-trace theory, we suggest that multiple accounts engender fuzzy gist representations, making it easier for people to generate justifications to support their desired spending decisions. However, a single account reduces the latitude for distortion and hinders generation of justifications to support desirable spending decisions. Across four studies that provide participants with the opportunity to earn, spend, and save money, we demonstrate the proposed effect and test the underlying process.     

Animals,humans and x-men: Human uniqueness and the meaning of personhood

Research in animal intelligence suggests to some that humans are different only in degree from animals, possibly eroding the traditional theological doctrine of the imago dei. In this paper, several critical boundary areas between humans and animals are examined for scientific evidence about human distinctiveness. These include communication and language capacity, cultural creativity, spirituality, and ethical capacity. Chimpanzee language studies and research in Neanderthal mentality are examined as the closest known natural approximations to human communication and intelligence. The implications of the findings are explored in relation to human culture, ethics, and spirituality in a context consistent with evolutionary continuity. Aspects of human uniqueness are apparent, can be fruitfully encompassed in the idea of personhood, and are coherent with Trinitarian theology's anthropological focus.     

Individual differences in conditional reasoning: A dual-process account

Dual-process theories of conditional reasoning predict that relationships among four basic logical forms, and to intellectual ability and thinking predictions, are most evident when conflict arises between experiential and analytic processing (e.g., Stanovich & West, ). To test these predictions, 210 undergraduates were presented with conditionals for which the consequents were either weakly or strongly associated with alternative antecedents (i.e., WA and SA problems, respectively). Consistent with predictions, modus ponens inferences were not related to inferences on the uncertain forms (affirmation of the consequent, denial of the antecedent). On WA problems, modus tollens, affirmation of the consequent, and denial of the antecedent were related to each other and to verbal ability. Modus ponens was linked to verbal ability only when disabling conditions were activated. In accord with the predictions of Stanovich and West (), on most problems, thinking dispositions predicted variance in inferences independently from verbal ability. We argue that a largely automatic experiential processing system governs performance on modus ponens, unless disablers are activated. Consciously controlled analytic processing predominates on the uncertain forms and, under some conditions, on modus tollens.     

Fast and frugal versus regression models of human judgement

Following Brunswik (1952), social judgement theorists have long relied on regression models to describe both an individual's judgements and the environment about which such judgements are made. However, social judgement theory is not synonymous with these compensatory, static, structural models. We compared the characterisations of physicians' judgements using a regression model with that of a non-compensatory process model (called fast and frugal). We found that both models fit the data equally well. Both models suggest that physicians use few cues, that they disagree among themselves, and that their stated cue use is discrepant with the models' stated cue use. However, the fast and frugal model is easier to convey to physicians and is also more psychologically plausible. Implications for how social judgement theorists conceptualise the process of vicarious functioning are discussed.     

Temporal information and children's and adults' causal inferences

Three experiments examined whether children and adults would use temporal information as a cue to the causal structure of a three-variable system, and also whether their judgements about the effects of interventions on the system would be affected by the temporal properties of the event sequence. Participants were shown a system in which two events B and C occurred either simultaneously (synchronous condition) or in a temporal sequence (sequential condition) following an initial event A. The causal judgements of adults and 6–7-year-olds differed between the conditions, but this was not the case for 4-year-olds' judgements. However, unlike those of adults, 6–7-year-olds' intervention judgements were not affected by condition, and causal and intervention judgements were not reliably consistent in this age group. The findings support the claim that temporal information provides an important cue to causal structure, at least in older children. However, they raise important issues about the relationship between causal and intervention judgements.     

Incorporating Demographic Embeddings Into Language Understanding

Meaning depends on context. This applies in obvious cases like deictics or sarcasm as well as more subtle situations like framing or persuasion. One key aspect of this is the identity of the participants in an interaction. Our interpretation of an utterance shifts based on a variety of factors, including personal history, background knowledge, and our relationship to the source. While obviously an incomplete model of individual differences, demographic factors provide a useful starting point and allow us to capture some of this variance. However, the relevance of specific demographic factors varies between situations—where age might be the key factor in one context, ideology might dominate in another. To address this challenge, we introduce a method for combining demographics and context into situated demographic embeddings—mapping representations into a continuous geometric space appropriate for the given domain, showing the resulting representations to be functional and interpretable. We further demonstrate how to make use of related external data so as to apply this approach in low‐resource situations. Finally, we show how these representations can be incorporated into improve modeling of real‐world natural language understanding tasks, improving model performance and helping with issues of data sparsity.