Algorithmic iteration for computational intelligence

Machine awareness is a disputed research topic, in some circles considered a crucial step in realising Artificial General Intelligence. Understanding what that is, under which conditions such feature could arise and how it can be controlled is still a matter of speculation. A more concrete object of theoretical analysis is algorithmic iteration for computational intelligence, intended as the theoretical and practical ability of algorithms to design other algorithms for actions aimed at solving well-specified tasks. We know this ability is already shown by current AIs, and understanding its limits is an essential step in qualifying claims about machine awareness and Super-AI. We propose a formal translation of algorithmic iteration in a fragment of modal logic, formulate principles of transparency and faithfulness across human and machine intelligence, and consider the relevance to theoretical research on (Super)-AI as well as the practical import of our results

Common Versus Unique Variance Across Measures of Worry and Rumination: Predictive Utility and Mediational Models for Anxiety and Depression

Repetitive negative thinking (RNT) has been identified as a transdiagnostic construct. However, diagnosis- specific questionnaires have traditionally been used to measure RNT across emotional disorders, and thus the degree to which they assess shared versus unique aspects of RNT is unclear. Furthermore, the degree to which shared versus unique variance across these measures contributes to the prediction of anxiety and depression symptoms is yet to be fully understood. This study had three aims. First, confirmatory factor analysis was used to test the degree to which two common, diagnosis-specific questionnaires assess common versus unique variance in RNT. One questionnaire measured worry whereas the other measured two aspects of rumination (brooding, reflection). Second, the contribution of the shared and unique variance in predicting symptoms of anxiety and depression was determined. Third, the role of shared and unique variance in mediating the relationships between the vulnerability factor of negative affectivity and symptoms of anxiety and depression was assessed

The Relationships of Personality and Cognitive Styles with Self-Reported Symptoms of Depression and Anxiety

Many studies have reported concurrent relationships between depressive symptoms and various personality, cognitive, and personality-cognitive vulnerabilities, but the degree of overlap among these vulnerabilities is unclear. Moreover, whereas most investigations of these vulnerabilities have focused on depression, their possible relationships with anxiety have not been adequately examined. The present study included 550 high school juniors and examined the cross-sectional relationships among neuroticism, negative inferential style, dysfunctional attitudes, sociotropy, and autonomy, with a wide range of anxiety and depressive symptoms, as well as the incremental validity of these different putative vulnerabilities when examined simultaneously. Correlational analyses revealed that all five vulnerabilities were significantly related to symptoms of both anxiety and depression. Whereas neuroticism accounted for significant unique variance in all symptom outcomes, individual cognitive and personality-cognitive vulnerabilities accounted for small and only sometimes statistically significant variance across outcomes. Importantly, however, for most outcomes the majority of symptom variance was accounted for by shared aspects of the vulnerabilities rather than unique aspects. Implications of these results for understanding cognitive and personality-cognitive vulnerabilities to depression and anxiety are discussed

The Role of Repetitive Negative Thoughts in the Vulnerability for Emotional Problems in Non-Clinical Children

The current study examined the role of repetitive negative thoughts in the vulnerability for emotional problems in non-clinical children aged 8–13 years (N = 158). Children completed self-report questionnaires for assessing (1) neuroticism and behavioral inhibition as indicators of general vulnerability (2) worry and rumination which are two important manifestations of repetitive negative thoughts, and (3) emotional problems (i.e., anxiety, depression, and sleep difficulties). Results demonstrated that there were positive correlations between measures of general vulnerability, repetitive negative thoughts, and emotional problems. Further, support was found for a model in which worry and rumination acted as partial mediators in the relation between neuroticism and symptoms of anxiety and depression. In the case of sleep difficulties, no evidence was obtained for such a mediation model. In fact, data suggested that sleeping difficulties are better conceived as an epiphenomenon of high symptom levels of anxiety and depression or as a risk factor for the development of other types of psychopathology. Finally, besides neuroticism, the temperamental trait of behavioral inhibition appeared to play a unique direct role in the model predicting anxiety symptoms but not in the models predicting depressive symptoms or sleep difficulties. To conclude, the current findings seem to indicate that worry and rumination contribute to children’s vulnerability for anxiety and depression

A Systematic Review and Meta-analysis of the Impact of Mindfulness-Based Interventions on the Well-Being of Healthcare Professionals

Efforts to improve the wellbeing of healthcare professionals include mindfulness-based interventions (MBIs). To understand the value of such initiatives, we conducted a systematic review and meta-analysis of empirical studies pertaining to the use of MBIs with healthcare professionals. Databases were reviewed from the start of records to January 2016 (PROSPERO registration number: CRD42016032899). Eligibility criteria included empirical analyses of wellbeing outcomes acquired in relation to MBIs. Forty-two papers met the eligibility criteria, consisting of a total of 2,101 participants. Studies were examined for two broad classes of wellbeing outcomes: (a) “negative” mental health measures such as anxiety, depression, and stress; (b) “positive” indices of wellbeing, such as life satisfaction, together with outcomes associated with wellbeing, such as emotional intelligence. MBIs were generally associated with positive outcomes in relation to most measures, and mindfulness does appear to improve the wellbeing of healthcare professionals. However, the quality of the studies was inconsistent, so further research is needed, particularly high-quality randomised control trials