Effects of self–other decision-making on time-based intertemporal choice

The effects of self–other decision-making on intertemporal choice have been revealed in many studies using a monetary outcome. However, the outcome of intertemporal choice is not restricted to money; time is also a scarce and nonrenewable resource outcome. Thus, we conducted a series of experiments to address the effects of self–other decision-making on time-based intertemporal choice, a type of intertemporal choice that uses time as an outcome. Over the course of three experiments, differences in self–other decision-making were evidenced. Participants who made decisions for others were more likely to prefer the smaller but sooner (SS) option over the larger but later (LL) option and considered the gain of the SS option to be significantly greater than that of the LL option. Participants who made decisions for themselves were likely to prefer the LL option over the SS option. However, they considered the gains of the LL and the SS option to be indifferent. Changing the role of decision-making could affect the ability of individuals to consider the future consequences of their decisions. The effects of self–other decision-making on time-based intertemporal choice could be explained by the accounts of economic reasoning and construal level theory. The findings indicated that the effects of self–other decision-making on time-based intertemporal choice, which could be generated simply by rewording questions, can help individuals make optimal long-term choices without the need for increased control.     

Building phrases in language production: An MEG study of simple composition

Although research on language production has developed detailed maps of the brain basis of single word production in both time and space, little is known about the spatiotemporal dynamics of the processes that combine individual words into larger representations during production. Studying composition in production is challenging due to difficulties both in controlling produced utterances and in measuring the associated brain responses. Here, we circumvent both problems using a minimal composition paradigm combined with the high temporal resolution of magnetoencephalography (MEG). With MEG, we measured the planning stages of simple adjective–noun phrases (‘red tree’), matched list controls (‘red, blue’), and individual nouns (‘tree’) and adjectives (‘red’), with results indicating combinatorial processing in the ventro-medial prefrontal cortex (vmPFC) and left anterior temporal lobe (LATL), two regions previously implicated for the comprehension of similar phrases. These effects began relatively quickly (∼180 ms) after the presentation of a production prompt, suggesting that combination commences with initial lexical access. Further, while in comprehension, vmPFC effects have followed LATL effects, in this production paradigm vmPFC effects occurred mostly in parallel with LATL effects, suggesting that a late process in comprehension is an early process in production. Thus, our results provide a novel neural bridge between psycholinguistic models of comprehension and production that posit functionally similar combinatorial mechanisms operating in reversed order.     

Positive beliefs about worry: A psychometric evaluation of the Why Worry-II

Positive beliefs about worry are theorized to maintain excessive and uncontrollable worry, the hallmark of generalized anxiety disorder (GAD; American Psychiatric Association, 2013). The Why Worry-II (WW-II) is a 25-item revised questionnaire designed to measure five positive beliefs about worry. These five beliefs are that worry: (1) facilitates problem solving; (2) enhances motivation; (3) protects against negative emotions; (4) prevents negative outcomes; and (5) reflects a positive personality trait. The main goal of this study was to assess the WW-II’s psychometric properties, including its factor structure. Undergraduate participants (N = 309) completed the WW-II, and measures of worry, depression, anxiety, and positive and negative beliefs about worry. Overall, the results suggest that the five-factor model is a good fit to the data. The WW-II demonstrated excellent internal consistency, good test–retest reliability at six weeks, and evidence of convergent and divergent validity. The WW-II also uniquely predicted worry severity. Overall, our findings suggest that the WW-II has a five-factor structure congruent with theoretical predictions, sound psychometric properties, and a unique relationship to excessive worry. The theoretical and clinical implications of these findings are discussed.     

Neural processing of intentional biological motion in unaffected siblings of children with autism spectrum disorder: An fMRI study

Despite often showing behaviorally typical levels of social cognitive ability, unaffected siblings of children with autism spectrum disorder have been found to show similar functional and morphological deficits within brain regions associated with social processing. They have also been reported to show increased activation to biological motion in these same regions, such as the posterior superior temporal sulcus (pSTS), relative to both children with autism and control children. It has been suggested that this increased activation may represent a compensatory reorganization of these regions as a result of the highly heritable genetic influence of autism. However, the response patterns of unaffected siblings in the domain of action perception are unstudied, and the phenomenon of compensatory activation has not yet been replicated. The present study used functional magnetic resonance imaging to determine the neural responses to intentional biological actions in 22 siblings of children with autism and 22 matched controls. The presented actions were either congruent or incongruent with the actor’s emotional cue. Prior studies reported that typically developing children and adults, but not children with autism, show increased activation to incongruent actions (relative to congruent), within the pSTS and dorsolateral prefrontal cortex. We report that unaffected siblings did not show a compensatory response, or a preference for incongruent over congruent trials, in any brain region. Moreover, interaction analyses revealed a sub-region of the pSTS in which control children showed an incongruency preference to a significantly greater degree than siblings, which suggests a localized deficit in siblings. A sample of children with autism also did not show differential activation in the pSTS, providing further evidence that it is an area of selective disruption in children with autism and siblings. While reduced activation to both conditions was unique to the autism sample, lack of differentiation to incongruent and congruent intentional actions was common to both children with ASD and unaffected siblings.     

Singular Clues to Causality and Their Use in Human Causal Judgment

It is argued that causal understanding originates in experiences of acting on objects. Such experiences have consistent features that can be used as clues to causal identification and judgment. These are singular clues, meaning that they can be detected in single instances. A catalog of 14 singular clues is proposed. The clues function as heuristics for generating causal judgments under uncertainty and are a pervasive source of bias in causal judgment. More sophisticated clues such as mechanism clues and repeated interventions are derived from the 14. Research on the use of empirical information and conditional probabilities to identify causes has used scenarios in which several of the clues are present, and the use of empirical association information for causal judgment depends on the presence of singular clues. It is the singular clues and their origin that are basic to causal understanding, not multiple instance clues such as empirical association, contingency, and conditional probabilities.     

A neural cognitive model of argumentation with application to legal inference and decision making

Formal models of argumentation have been investigated in several areas, from multi-agent systems and artificial intelligence (AI) to decision making, philosophy and law. In artificial intelligence, logic-based models have been the standard for the representation of argumentative reasoning. More recently, the standard logic-based models have been shown equivalent to standard connectionist models. This has created a new line of research where (i) neural networks can be used as a parallel computational model for argumentation and (ii) neural networks can be used to combine argumentation, quantitative reasoning and statistical learning. At the same time, non-standard logic models of argumentation started to emerge. In this paper, we propose a connectionist cognitive model of argumentation that accounts for both standard and non-standard forms of argumentation. The model is shown to be an adequate framework for dealing with standard and non-standard argumentation, including joint-attacks, argument support, ordered attacks, disjunctive attacks, meta-level attacks, self-defeating attacks, argument accrual and uncertainty. We show that the neural cognitive approach offers an adequate way of modelling all of these different aspects of argumentation. We have applied the framework to the modelling of a public prosecution charging decision as part of a real legal decision making case study containing many of the above aspects of argumentation. The results show that the model can be a useful tool in the analysis of legal decision making, including the analysis of what-if questions and the analysis of alternative conclusions. The approach opens up two new perspectives in the short-term: the use of neural networks for computing prevailing arguments efficiently through the propagation in parallel of neuronal activations, and the use of the same networks to evolve the structure of the argumentation network through learning (e.g. to learn the strength of arguments from data).     

Are there gender differences in cognitive reflection? Invariance and differences related to mathematics

ABSTRACT

Cognitive reflection is recognized as an important skill, which is necessary for making advantageous decisions. Even though gender differences in the Cognitive Reflection test (CRT) appear to be robust across multiple studies, little research has examined the source of the gender gap in performance. In Study 1, we tested the invariance of the scale across genders. In Study 2, we investigated the role of math anxiety, mathematical reasoning, and gender in CRT performance. The results attested the measurement equivalence of the Cognitive Reflection Test – Long (CRT- L), when administered to male and female students. Additionally, the results of the mediation analysis showed an indirect effect of gender on CRT-L performance through mathematical reasoning and math anxiety. The direct effect of gender was no longer statistically significant after accounting for the other variables. The current findings suggest that cognitive reflection is affected by numerical skills and related feelings.     

When Intertemporal Rewards Are Hedonic,Larger Units of Wait Time Boost Patience

In intertemporal choices between smaller‐sooner (SS) and larger‐later (LL) rewards, five studies reveal that patience for the LL option is influenced by an interactive effect of the measurement units used to express wait time (large vs. small) and the type of the reward (hedonic vs. utilitarian). Specifically, larger time units boost patience, but more so when rewards are hedonic rather than utilitarian. In line with the numerosity heuristic, the effect of time units on patience is mediated by larger time units shrinking wait time perception. This effect arises because hedonic (vs. utilitarian) rewards promote a reliance on heuristics rather than systematic calculations. Therefore, a more calculative mindset diminishes the effect of units even for hedonic rewards and eliminates the hedonic‐utilitarian asymmetry. These results contribute to research on numerosity, intertemporal choice, and hedonic‐utilitarian differences, and offer a simple tool for practitioners to influence patience.     

A sound effect: Exploration of the distinctiveness advantage in voice recognition

Two experiments are presented, which explore the presence of a distinctiveness advantage when recognising unfamiliar voices. In Experiment 1, distinctive voices were recognised significantly better, and with greater confidence, in a sequential same/different matching task compared with typical voices. These effects were replicated and extended in Experiment 2, as distinctive voices were recognised better even under challenging listening conditions imposed by nonsense sentences and temporal reversal. Taken together, the results aligned well with similar results when processing faces, and provided a useful point of comparison between voice and face processing.     

Fundamental failure to think logically about scientific questions: An illustration of tunnel vision with the application of Wason's Card Selection Test to criminal evidence

Logic and science are in some respects fundamentally different disciplines, in that for example, application of rules of logic can yield conclusions that are at odds with physical reality. Not surprisingly, people have ample difficulty with logical thinking. Nonetheless, in some instances, logical thinking can fuel empirical decision making. In the current research, it was established that applying rules of logic to a particular area of empirical decision making, that is, criminal fact finding, is indeed quite difficult (Study 1). Furthermore, the ability to think logically was found to be associated with superior evaluation of criminal evidence (Study 2). Implications of these findings are discussed.