Institutional caregiving is associated with significant deviations from species-expected caregiving, altering the normative sequence of attachment formation and placing children at risk for long-term emotional difficulties. However, little is known about factors that can promote resilience following early institutional caregiving. In the current study, we investigated how adaptations in affecti...

The author outlines a radically dfferent decision-making model form the one widely used in Economics and in Psychology. Accordingly, most choices are made on the basis of emotional involvements and value commitments. Information processing is often excluded. In other areas of choices, emotions and values allow for some subsets of options to be rationally considered but ‘color’ them and/or short...

Several studies have suggested that both affective valence and arousal affect the perception of time. However, in previous experiments, the two affective dimensions have not been systematically controlled. In this study, standardized photographic slides rated for emotional valence and arousal were projected to two groups of subjects for 2, 4, and 6 sec. One group of subjects estimated the proje...

in regard to different structure of factors affective to personnel productivity in different organizations, this research is performed with the purpose of designing and fitness of conceptual model of personnel productivity using interpretive structure modeling in ferdowsi university of mashhad. the survey method and researcher-made questionaire was used for data collection in this research. the...

BACKGROUND Suicide has been linked to intense negative affect. However, little is known about the range of affects experienced by suicidal persons, or the separate effects of affect valence and intensity. We examine a novel self-report scale, the 17-item Affective Intensity Rating Scale (AIRS), and its relation to suicidality in a high-risk sample. METHODOLOGY/PRINCIPAL FINDINGS Patients pres...

In recent years, many empirical studies of legal decision-making process have shown that it incorporates many cognitive, affective, and supra-legal factors. Our goal is to design artificial intelligence systems that model these aspects of legal decision-making. Our vision is to implement a kind of legal assistant that can be used by lawyers and judges to run through different scenarios and prod...

We investigated what factors would be related to students’ achievement in mathematics courses offered at a virtual high school. This was an attempt to understand why some succeed and some do not as well as to suggest what should be done to help with student success. Seventy-two students responded to a self-report survey on motivation (ie, selfefficacy, intrinsic value), mathematics achievement ...

As a powerful and intelligent machine learning method, reinforcement learning (RL) has been widely used in many fields such as game theory, adaptive control, multi-agent system, nonlinear forecasting, and so on. The main contribution of this technique is its exploration and exploitation approaches to find the optimal solution or semi-optimal solution of goal-directed problems. However, when RL ...