Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology

A theoretical structure for multiattribute decision making is presented, based on a dynamical system for interactions in a neural network incorporating affective and rational variables. This enables modeling of problems that elude two prevailing economic decision theories: subjective expected utility theory and prospect theory. The network is unlike some that fit economic data by choosing optimal weights or coefficients within a predetermined mathematical framework. Rather, the framework itself is based on principles used elsewhere to model many other cognitive and behavioral data, in a manner approximating how humans perform behavioral functions. Different, interconnected modules within the network encode (a) attributes of objects among which choices are made, (b) object categories, (c) and goals of the decision maker. An example is utilized to simulate the actual consumer choice between old and new versions of Coca-Cola. Potential applications are also discussed to market decisions involving negotiations between participants, such as international petroleum traders.     

Infinite idealizations in science: an introduction

We offer a framework for organizing the literature regarding the debates revolving around infinite idealizations in science, and a short summary of the contributions to this special issue.

     

The concept of risk and responsible conduct of research

Assessment of risk is one of the key issues in the field of responsible conduct of research which covers discourses of research ethics and research integrity. The principle of minimizing risks and balancing of risks and benefits is one of the main requirements of research ethics. In addition, the content of informed consent that is another fundamental principle of research ethics derives from the assessment of risks and benefits related to a particular research project. Risk assessment also plays a crucial role in methodological design of the research project. This is an important point where research ethics and research integrity discourses overlap. Firstly, because the choice of a control group (e.g., placebo control) is a key ethical issue related to the protection of the research subjects' interests. Secondly, because the quality of the research data, that is one of the key elements of research integrity, is closely connected to the choice of research methodology as well. The problem of biased interpretation or manipulation of risk related features of biomedical research should also be taken into account. Despite the importance of the concept of risk to the field of biomedical research, its relevance has not yet attracted a sufficient attention in the responsible conduct of research debate.     

Automated respiratory sinus arrhythmia measurement: Demonstration using executive function assessment

Respiratory sinus arrhythmia (RSA) is a quantitative metric that reflects autonomic nervous system regulation and provides a physiological marker of attentional engagement that supports cognitive and affective regulatory processes. RSA can be added to executive function (EF) assessments with minimal participant burden because of the commercial availability of lightweight, wearable electrocardiogram (ECG) sensors. However, the inclusion of RSA data in large data collection efforts has been hindered by the time-intensive processing of RSA. In this study we evaluated the performance of an automated RSA-scoring method in the context of an EF study in preschool-aged children. The absolute differences in RSA across both scoring methods were small (mean RSA differences = –0.02–0.10), with little to no evidence of bias for the automated relative to the hand-scoring approach. Moreover, the relative rank-ordering of RSA across both scoring methods was strong (rs = .96–.99). Reliable changes in RSA from baseline to the EF task were highly similar across both scoring methods (96%–100% absolute agreement; Kappa = .83–1.0). On the basis of these findings, the automated RSA algorithm appears to be a suitable substitute for hand-scoring in the context of EF assessment.     

The Relationship Between Emotional Intelligence and Performance Among College Basketball Players

This study explored the nature of the relationship between muscle dysmorphia symptoms and self-concept as well as negative affect variables. Female (n = 183) and male (n = 103) college students completed a packet of questionnaires. Data were analyzed using canonical correlation analyses and revealed significant relationships between the sets of variables. Specifically, the variance explained by muscle dysmorphia symptoms in self-concept and negative affect variables was greater than the variance explained in muscle dysmorphia symptoms by self-concept and negative affect. Perceived body attractiveness and social physique anxiety were the individual variables that predominantly contributed to the multivariate relationships.     

A Review of “Trauma and Human Existence: Autobiographical,Psychoanalytic and Philosophical Reflections”

Abstract

The author sets out to locate Bion's model of the mind within the developmental history of psychoanalysis, from Freud to Klein to Bion, using biographical material and clinical case examples, to illustrate Bion's concepts of container/contained, his understanding and use of projective identification, his extension of the use of the countertransference, and his differentiation between the psychotic and non-psychotic aspects of the mind. Links, and attacks against linking are discussed, as well as Bion's thoughts about learning versus knowing, being versus becoming and his emphasis on the essential importance of the development of the capacity to think.