Adaptive logics using the minimal abnormality strategy are $$\Pi^1_1$$ -complex

In this article complexity results for adaptive logics using the minimal abnormality strategy are presented. It is proven here that the consequence set of some recursive premise sets is -complete. So, the complexity results in (Horsten and Welch, Synthese 158:41–60, 2007) are mistaken for adaptive logics using the minimal abnormality strategy.     

Resiliency in the Face of Adversity: A Short Longitudinal Test of the Trait Hypothesis

Resilience represents coping with adversity and is in line with a more positive paradigm for viewing responses to adversity. Most research has focused on resilience as coping—a state-based response to adversity. However, a competing hypothesis views resilience or resiliency as a trait that exists across time and types of adversity. We tested undergraduates enrolled in social work classes at a large southern university at two time periods during a single semester using measures of adversity, positive and negative affect, and trait-based resiliency. Consistent with the trait-based resiliency, and in contrast to state-based resilience, resiliency scores were not strongly correlated with adversity at both testing points but were with positive affect, and resiliency scores remained the same over time despite adversity variations. There was no gender or ethnic group difference in resilience scores. Black/African Americans reported significantly less negative affect and more positive affect than White/Caucasians.     

Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach

Experimentation is at the heart of scientific inquiry. In the behavioral and neural sciences, where only a limited number of observations can often be made, it is ideal to design an experiment that leads to the rapid accumulation of information about the phenomenon under study. Adaptive experimentation has the potential to accelerate scientific progress by maximizing inferential gain in such research settings. To date, most adaptive experiments have relied on myopic, one‐step‐ahead strategies in which the stimulus on each trial is selected to maximize inference on the next trial only. A lingering question in the field has been how much additional benefit would be gained by optimizing beyond the next trial. A range of technical challenges has prevented this important question from being addressed adequately. This study applies dynamic programming (DP), a technique applicable for such full‐horizon, “global” optimization, to model‐based perceptual threshold estimation, a domain that has been a major beneficiary of adaptive methods. The results provide insight into conditions that will benefit from optimizing beyond the next trial. Implications for the use of adaptive methods in cognitive science are discussed.     

Impact of parentification on long-term outcomes among children of parents with HIV/AIDS

Stein, Riedel, and Rotheram-Borus reported in 1999 that early parentification predicted maladaptive outcomes of more emotional distress, substance use, and conduct problems among adolescents of parents with HIV/AIDS (PWH) 6 months later. The current study assessed the adolescents ( N =213) 6 years later to assess whether there were continuing negative effects of parentification, or, rather, if there were some positive outcomes. Although the premature assumption of parental roles had negative effects in the short term, we hypothesized that such skills may have been adaptive in the long run, especially in the case of adolescents with major stressors in their lives, including dying or ill parents, impoverished environments, and family instability. We found that early parentification predicted better adaptive coping skills and less alcohol and tobacco use 6 years later. In addition, early parentification was not associated with later emotional distress and dysfunctional parenting attitudes, including expecting role reversals in their own children.     

A conceptual dismantling of the Five Factor Form: Lexical support for the bipolarity of maladaptive personality structure

The Five Factor Form (FFF) assesses adaptive and maladaptive variants for both poles of the five-factor model (FFM), consistent with the hypothesis that there are indeed maladaptive variants for all 10 poles of the FFM. The current study dismantled the 30 FFF items. It was hypothesized that for each FFF item, the two maladaptive and adaptive components occupying the same side would be rated as similar in meaning, whereas components occupying opposite sides would be dissimilar (opposite) in meaning. The results supported the FFF scoring for four domains with mixed support for openness. The findings support not only the validity of the FFF but as well the perspective that there are maladaptive variants of all ten poles of the FFM.     

Readiness to adaptively change under three conditions: Clinical,careers, and natural change situations

The Adaptive Change Model (ACM) was developed as an alternative form of the Transtheoretical Model of Change to address some of the criticisms of early operationalisation. Both models provide a framework for measuring the potentialities of change and to facilitate targeted behaviour change in general and clinical settings. In this research, the eight factors of the Adaptive Change Questionnaire (ACQ) operationalising the ACM were validated using confirmatory factor analysis, involving 238 respondents. The findings indicated a good fit between the model and data. A comparison of the mean scores of the factors of the ACM showed respondents seeking clinical therapy (n = 85) were lower on self‐rating of factors related to adaptive change than a group receiving career counselling (n = 88) and a non‐therapy group (n = 65). The ACQ factors correctly predicted the allocation of 79.3% of the clinical and non‐therapy respondents which confirmed previous research. The relevance of the findings for therapeutic interventions and future research are discussed.     

An investigation of intra-individual variability in children with fetal alcohol spectrum disorder (FASD)

Intra-individual variability (IIV) is defined as systematic within-person variation in performance either across test sessions (e.g., test/retest performance on the same task) or in one session (e.g., variations in performance on multiple trials of a single task). Higher levels of IIV have been noted as a characteristic of neurodevelopmental disorders such as attention deficit/hyperactivity disorder? (ADHD), but IIV is yet to be investigated in fetal alcohol spectrum disorder (FASD). FASD is a term used to describe a range of conditions resulting from prenatal exposure to alcohol. As part of a comprehensive neuropsychological battery, four study groups (1. fetal alcohol syndrome/partial fetal alcohol syndrome; 2. static encephalopathy/alcohol exposed; 3. neurobehavioral disorder/alcohol exposed as diagnosed using the University of Washington FASD 4-Digit Code; 4. typically-developing (TD) age-matched children with no prenatal alcohol exposure) were administered measures of motor response and inhibitory control, attention, and adaptive behavior. The results indicate increased levels of IIV in those with FASD compared to the TD controls. It was found that IIV uniquely contributes to predicting adaptive behavior above and beyond attention, while attention partially mediates the relationship between IIV and adaptive behavior. This is the first study to the authors’ knowledge to show the presence of increased IIV in children with FASD. It additionally provides evidence that IIV measures some inherent variability in performance independent of poor attention in children with FASD.     

Operator State Estimation to Enable Adaptive Assistance in Manned-Unmanned-Teaming

With the continued development of unmanned aerial vehicle (UAV) technologies, the UAV on-board automation is increasingly more capable of performing tasks formerly done by human operators. Thereby, the role of UAVs is changing from being mere tools to become members of integrated manned-unmanned systems. However, the high automation necessary to achieve this cooperation, introduces a new set of negative effects for the human operator such as complacency or automation bias. Adaptive assistance is one approach to counteract these negative effects seen in human-automation-interaction. To enable adaptive assistance, we present a cognitive state estimation framework for a MUM-T aircraft application. The goal of this approach is to assess attention allocation and SA of a pilot in real-time and identify possible breakdowns in the situational picture that could cause performance decrements and errors. The design of a MUM-T cockpit simulator is presented to describe how this cognitive state estimation framework is integrated into a human-autonomy-teaming environment. The results of initial simulator experiments are presented and areas of further research are identified.     

Keeping the driver in the loop in conditionally automated driving: A perception-action theory approach

In this paper we investigated if keeping the driver in the perception–action loop during automated driving can improve take-over behavior from conditionally automated driving. To meet this aim, we designed an experiment in which visual exposure (perception) and manual control exposure (action) were manipulated. In a dynamic driving simulator experiment, participants (n = 88) performed a non-driving related task either in a head-up display in the windshield (high visual exposure) or on a head-down display near the gear shift (low visual exposure). While driving, participants were either in an intermittent control-mode with four noncritical take-over situations (high manual control exposure), or in a continuous automation-mode throughout the ride (low manual control exposure). In all conditions, a critical take-over had to be carried out after an approximately 13 min ride. Measurements of take-over behavior showed that only high visual exposure had an effect on hands-on reaction time measurements. Both visual exposure and manual control exposure had small to medium sized main effects on time to system deactivation, the maximum velocity of the steering wheel, and the standard deviation of the steering wheel angle. The combined high visual – and high manual control exposure condition led to 0.55 s faster reaction time and 37% less steering variability in comparison to the worst case low visual – and low manual control exposure condition. Together, results corroborate that maintaining visual exposure and manual control exposure during automated driving can be efficacious and suggest that their positive effects are additive.     

Shortcuts and Dynamic Marking in the Tableau Method for Adaptive Logics

Adaptive logics typically pertain to reasoning procedures for which there is no positive test. In [7], we presented a tableau method for two inconsistency-adaptive logics. In the present paper, we describe these methods and present several ways to increase their efficiency. This culminates in a dynamic marking procedure that indicates which branches have to be extended first, and thus guides one towards a decision — the conclusion follows or does not follow — in a very economical way.