Regulation and robust stabilization: a behavioral approach

In this thesis we consider a number of control synthesis problems within the behavioral approach to systems and control. In particular, we consider the problem of regulation, the H! control problem, and the robust stabilization problem. We also study the problems of regular implementability and stabilization with constraints on the input/output structure of the admissible controllers. The systems in this thesis are assumed to be open dynamical systems governed by linear constant coefficient ordinary differential equations. The behavior of such system is the set of all solutions to the differential equations. Given a plant with its to-be-controlled variable and interconnection variable, control of the plant is nothing but restricting the behavior of the to-be-controlled plant variable to a desired subbehavior. This restriction is brought about by interconnecting the plant with a controller (that we design) through the plant interconnection variable. In the interconnected system the plant interconnection variable has to obey the laws of both the plant and the controller. The interconnected system is also called the controlled system, in which the controller is an embedded subsystem. The interconnection of the plant and the controller is said to be regular if the laws governing the interconnection variable are independent from the laws governing the plant. We call a specification regularly implementable if there exists a controller acting on the plant interconnection variable, such that, in the interconnected system, the behavior of the to-becontrolled variable coincides with the specification and the interconnection is regular. Within the framework of regular interconnection we solve the control problems listed in the first paragraph. Solvability conditions for these problems are independent of the particular representations of the plant and the desired behavior.

Identity and educational choice: a behavioral approach.

It is puzzling that socioeconomic background greatly affects educational choice. Distinguished from the explanations based on expected utility theory, this paper attempts to explore the psychological mechanisms of generating educational identity1 and schooling choice. It offers a self-signaling model where (1) it incorporates self-esteem concerns into the agent’s payoff function, (2) the investment in schooling not only signals her cognitive ability but also brings the agent into cognitive dissonance and reduction when the perceptions of ability are time-dependent. Using this model, I show a more discriminating analysis of educational choice which combines multi-dimensional factors including socioeconomic background, cognitive and non-cognitive abilities. I identify the conditions under which the high ability agent fails to invest in education. The quality of school and the preschooling are key variables. The model suggests that public policy can help poor children by improving both the early and later education quality at school.

Cognitive-Behavioral Therapy

Cognitive-behavioral therapy (CBT) is the merging of behavioral and cognitive therapies that mostly focuses on working with the client in the present. Although there are many approaches to CBT, there tend to be some common features. For example, CBT is generally a directive approach to psychotherapy that helps clients to challenge their problematic thoughts and to change the behaviors associated with those thoughts. In addition, most approaches to CBT are structured and time limited and include some type of homework where the client can practice the cognitive and behavioral strategies learned in the therapeutic setting. This entry focuses mostly on CBT as defined by Aaron Beck, one of the early founders of this approach

Towards a Holistic Approach to Designing Theory-based Mobile Health Interventions

Increasing evidence has shown that theory-based health behavior change interventions are more effective than non-theory-based ones. However, only a few segments of relevant studies were theory-based, especially the studies conducted by non-psychology researchers. On the other hand, many mobile health interventions, even those based on the behavioral theories, may still fail in the absence of a user-centered design process. The gap between behavioral theories and user-centered design increases the difficulty of designing and implementing mobile health interventions. To bridge this gap, we propose a holistic approach to designing theory-based mobile health interventions built on the existing theories and frameworks of three categories: (1) behavioral theories (e.g., the Social Cognitive Theory, the Theory of Planned Behavior, and the Health Action Process Approach), (2) the technological models and frameworks (e.g., the Behavior Change Techniques, the Persuasive System Design and Behavior Change Support System, and the Just-in-Time Adaptive Interventions), and (3) the user-centered systematic approaches (e.g., the CeHRes Roadmap, the Wendel's Approach, and the IDEAS Model). This holistic approach provides researchers a lens to see the whole picture for developing mobile health interventions

Protocol for a randomized controlled trial examining multilevel prediction of response to behavioral activation and exposure-based therapy for generalized anxiety disorder.

BACKGROUND:Only 40-60% of patients with generalized anxiety disorder experience long-lasting improvement with gold standard psychosocial interventions. Identifying neurobehavioral factors that predict treatment success might provide specific targets for more individualized interventions, fostering more optimal outcomes and bringing us closer to the goal of "personalized medicine." Research suggests that reward and threat processing (approach/avoidance behavior) and cognitive control may be important for understanding anxiety and comorbid depressive disorders and may have relevance to treatment outcomes. This study was designed to determine whether approach-avoidance behaviors and associated neural responses moderate treatment response to exposure-based versus behavioral activation therapy for generalized anxiety disorder. METHODS/DESIGN:We are conducting a randomized controlled trial involving two 10-week group-based interventions: exposure-based therapy or behavioral activation therapy. These interventions focus on specific and unique aspects of threat and reward processing, respectively. Prior to and after treatment, participants are interviewed and undergo behavioral, biomarker, and neuroimaging assessments, with a focus on approach and avoidance processing and decision-making. Primary analyses will use mixed models to examine whether hypothesized approach, avoidance, and conflict arbitration behaviors and associated neural responses at baseline moderate symptom change with treatment, as assessed using the Generalized Anxiety Disorder-7 item scale. Exploratory analyses will examine additional potential treatment moderators and use data reduction and machine learning methods. DISCUSSION:This protocol provides a framework for how studies may be designed to move the field toward neuroscience-informed and personalized psychosocial treatments. The results of this trial will have implications for approach-avoidance processing in generalized anxiety disorder, relationships between levels of analysis (i.e., behavioral, neural), and predictors of behavioral therapy outcome. TRIAL REGISTRATION:The study was retrospectively registered within 21 days of first participant enrollment in accordance with FDAAA 801 with ClinicalTrials.gov, NCT02807480. Registered on June 21, 2016, before results

Standards of Validity and the Validity of Standards in Behavioral Software Engineering Research: The Perspective of Psychological Test Theory

Background. There are some publications in software engineering research that aim at guiding researchers in assessing validity threats to their studies. Still, many researchers fail to address many aspects of validity that are essential to quantitative research on human factors. Goal. This paper has the goal of triggering a change of mindset in what types of studies are the most valuable to the behavioral software engineering field, and also provide more details of what construct validity is. Method. The approach is based on psychological test theory and draws upon methods used in psychology in relation to construct validity. Results. In this paper, I suggest a different approach to validity threats than what is commonplace in behavioral software engineering research. Conclusions. While this paper focuses on behavioral software engineering, I believe other types of software engineering research might also benefit from an increased focus on construct validity.Comment: ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), Oulu, Finland, October 11-12, 2018. 4 page

A BEHAVIORAL APPROACH TO THE GLOBAL FINANCIAL CRISIS

The purpose of this paper is to reflect the behavioral biases that led to this global financial crisis. The paper presents briefly the real causes of the crisis (structural and cyclical factors) and puts a greater accent on the behavioral factors. The authors considered to structure the paper in three main pillars: behavioral factors, the collapse of ethical behavior and the role of behavioral finance in studying, regulating and assessment financial risks. The first pillar consists in a brief presentation of the behavioral factors such as: optimism and wishful thinking, overconfidence, greed, regret, pessimism, passing the responsibility, herding - groupthink, anchoring, representativeness biases, informational cascades and "this time is different" syndrome. The second pillar of the paper presents the collapse of ethical behavior that led to the global financial crisis: predatory lending practices, inappropriate compensation schemes, rating agencies behavior, corporate governance reforms and financial institutions opacity in their reporting. The third pillar presents the mismanagement of risk and regulations that led us into this global mess. The paper concludes with the need of integrating biases of human behavior into regulations in order to make them more effective and people become less financially vulnerable.behavioral finance, irrationality, regulation, crisis

Comparative Network Analysis of Preterm vs. Full-Term Infant-Mother Interactions

Several studies have reported that interactions of mothers with preterm infants show differential characteristics compared to that of mothers with full-term infants. Interaction of preterm dyads is often reported as less harmonious. However, observations and explanations concerning the underlying mechanisms are inconsistent. In this work 30 preterm and 42 full-term mother-infant dyads were observed at one year of age. Free play interactions were videotaped and coded using a micro-analytic coding system. The video records were coded at one second resolution and studied by a novel approach using network analysis tools. The advantage of our approach is that it reveals the patterns of behavioral transitions in the interactions. We found that the most frequent behavioral transitions are the same in the two groups. However, we have identified several high and lower frequency transitions which occur significantly more often in the preterm or full-term group. Our analysis also suggests that the variability of behavioral transitions is significantly higher in the preterm group. This higher variability is mostly resulted from the diversity of transitions involving non-harmonious behaviors. We have identified a maladaptive pattern in the maternal behavior in the preterm group, involving intrusiveness and disengagement. Application of the approach reported in this paper to longitudinal data could elucidate whether these maladaptive maternal behavioral changes place the infant at risk for later emotional, cognitive and behavioral disturbance