Choice functions in multistage optimization

This paper is devoted to the multistage optimization problem with a vector-valued gain function. The notion of optimality is determined here by the choice function. The conditions for the choice function that guarantee the applicability and efficiency of dynamic programming are found.     

Exposure to electronic media between 6 and 24 months of age: An exploratory study

This study explores the associations between electronic media exposure, age, and socioeconomic status (SES) in a longitudinal sample of 24 infants from English-speaking families. Leveraging Language ENvironment Analysis (LENA) technology, the study seeks to characterize the relation between electronic media exposure and parental and child vocal activity. We analyzed ecologically valid, daylong audio recordings collected in infants’ homes when they were 6, 10, 14, 18, and 24 months old. SES was measured with the Hollingshead Index, and exposure to electronic media and adult and infant vocal activity were measured automatically with LENA. On average, the children in the sample were exposed to 58 min of electronic media daily. We found that electronic media exposure was negatively associated with SES and decreased with child age, but only amongst high-SES families. We also found that electronic media exposure negatively impacted concurrent adult and child vocal activity, irrespective of SES and infant age. The present findings are an important step forward in examining the role of demographic factors in exposure to electronic media and enhance our understanding of the mechanisms through which exposure to electronic media may impact linguistic development in infancy and beyond.     

New perspectives on theories linking cognition,emotion, and context: A proposal from the Theory of Analysis of Demand

Both scholars and practitioners acknowledge that the major factors explaining behavior are cognition, emotion, and context. However, existing theories tend to only focus on a combination of two. Furthermore, not all models are rooted in a specific theory of mind. Finally, there is no consistent definition of ‘mind.’ To address these issues, we review the major models explaining behavior. We then describe the Theory of Analysis of Demand (TAD), an interactionist (individual-context) model of functioning of mind that thoroughly addresses the conjoint interplay of cognition, emotion, and context. A key concept of the TAD is emotional symbolization, the process of relating one’s experiences of the external context with an inevitable emotional reaction. By considering an intersection among cognition, emotion, and context, TAD fills the gap in the existing literature and expands our understanding of behavior. Moreover, we describe the TAD intervention methodology, Individual-Setting of intervention-Organization technique, which explores an individual’s demand for intervention and the underlying emotion-, cognition-, and context-related categories (i.e., emotional symbolization) that prompt the request. Last, we discuss the potential benefits and boundary conditions of the TAD to integrate existing approaches.     

A Model‐Based Cluster Analysis of Maternal Emotion Regulation and Relations to Parenting Behavior

In a diverse community sample of mothers (N = 108) and their preschool‐aged children (M_age = 3.50 years), this study conducted person‐oriented analyses of maternal emotion regulation (ER) based on a multimethod assessment incorporating physiological, observational, and self‐report indicators. A model‐based cluster analysis was applied to five indicators of maternal ER: maternal self‐report, observed negative affect in a parent–child interaction, baseline respiratory sinus arrhythmia (RSA), and RSA suppression across two laboratory tasks. Model‐based cluster analyses revealed four maternal ER profiles, including a group of mothers with average ER functioning, characterized by socioeconomic advantage and more positive parenting behavior. A dysregulated cluster demonstrated the greatest challenges with parenting and dyadic interactions. Two clusters of intermediate dysregulation were also identified. Implications for assessment and applications to parenting interventions are discussed.     

Hypnotic assessment based on the Recurrence Quantification Analysis of EEG recorded in the ordinary state of consciousness

The cerebral cortical correlates of the susceptibility to hypnosis in the ordinary states of consciousness have not been clarified. Aim of the study was to characterize the EEG dynamics of subjects with high (highs) and low hypnotisability (lows) through the non-linear method of Recurrence Quantification Analysis (RQA). The EEG of 16 males – 8 highs and 8 lows – was monitored for 1 min without instructions other than keeping the eyes closed, being silent and avoiding movements (short resting), and during 15 min of simple relaxation, that is with the instruction to relax at their best. Highs and lows were compared on the RQA measures of Determinism (DET) and Entropy (ENT), which are related to the signal determinism and complexity. In the short resting condition discriminant analysis could classify highs and lows on the basis of DET and ENT values at temporo-parietal sites. Many differences in DET and all differences in ENT disappeared during simple relaxation, although DET still separated the two groups in the earliest 6 min of relaxation at temporo-parietal sites. Our RQA based approach allows to develop computer-based methods of hypnotic assessment using short-lasting, single channel EEG recordings analyzed through standard mathematical methods.     

A Commentary on Charles Goodwin's Co-Operative Action for Learning Scientists

ABSTRACT

This commentary summarizes the argument Charles Goodwin presents in Co-Operative Action (Co-A, 2018 Goodwin, C. (2018). Co-operative action. New York, NY: Cambridge University Press. [Google Scholar]), his most recent book. Through exploration of the breadth of conceptual and methodological tools that he has built over the course of his career and represents in this book, we suggest paths forward for Learning Sciences towards engaging in more equitable and relational research.     

The Self As a Complex Adaptive System Part II: Levels of Analysis and the Position of the Observer

This article continues the project begun in the previous article titled: “The Self as a Complex Adaptive System. Part I: Complexity, Metapsychology, and Developmental Theories” (Palombo, 2013). Using systems theory and a complexity perspective, that article provided a critique of psychoanalytic developmental theories. This contribution addresses some of the methodological issues related to data collection on development and the effects of the observer on the observed. It introduces the Level of Analysis perspective as a heuristic that permits the use of a complexity view applicable to the construct of the self as a complex adaptive system. It proposes three levels, each of which is associated with a platform from which phenomena are observed, a neuropsychological level (L-1), an introspective level (L-2), and an interpersonal level (L-3). The article concludes with a plea for a unifying psychoanalytic paradigm that brings together the data from these three levels and that would lay the groundwork for a clinical theory that would bring together the major existing psychoanalytic theories.     

Body Psychotherapy with Couples

SUMMARY

Bodynamic Analysis combines depth cognitive psychotherapy and an emphasis on relationship with an understanding of the body based on an empirical study of the psychological function of each muscle. The resulting developmental understanding has been elaborated in the form of Seven Developmental Stages, each having specific themes and issues. These themes and issues are often found to be at the core of the conflictual dynamics presented by couples who are seeking therapy. Thus, while addressing the issues of one person, we can simultaneously be eliciting and working with the interpersonal dynamics of the couple.