Characteristics of adolescents at risk for compulsive overeating on a brief screening test

As part of a large survey of addictive behavior in high school students, 43% of a sample of 278 (26% of the males, 57% of the females) scored above the cutoff point set by Overeaters Anonymous on their scale for assessing compulsive overeating. While this at-risk group did not report poorer general adjustment, health, or school achievement than did the students not at risk, they did significantly more often perceive their life quality and relationship with the person closest to them as less positive. The at-risk subsample indicated the defensive effectiveness of overeating in their significantly more frequent report of dissociative experiences while eating, and less severe ratings of insecurity, worrying, and daydreaming. One of the most salient findings was the at-risk students' more frequent report of addictive problems in their parents (overeating, alcohol and drug use, and gambling).     

The adaptive significance of destructiveness in primitive personalities

Destructiveness in primitive personalities is not restricted to a segment of the person as it is in the case of neurotics, but is global and pervasive. This destructiveness is meaningfully configured in a manner which cannot fully be accounted for by constitutional factors or be comprehended from the individual, intrapsychic, conflictual viewpoint of classical psychoanalysis. It follows an interpersonally meaningful pattern and therefore has adaptive significance in the contemporary life of the individual. The adaptive model I propose does not violate essential canons of psychoanalytic theory, for it can simultaneously be conceptualized in terms of intrapsychic structure and dynamics. This model holds out the possibility for a therapeutic approach to primitive personality organization which differs in some but by no means all respects from classical analysis.     

On working through: a model from artificial intelligence

Working through is centrally important to clinical psychoanalysis. It is inadequately explained in analytic theory. An artificial intelligence model of the process is proposed. Models of problem solving show that the complexity of necessary computation is an important determinant of how a problem is solved. Not optimal, but only good enough solutions are usually found. The quality of solutions depends on the time and resources available. Generally it is far easier to use existing methods than to develop new approaches. When problems must be solved in an emergency fashion, as in trauma, poor solutions are likely to emerge. In studying the annealing of metals and other complex optimization problems, a process, the Boltzman algorithm, was discovered, which continues the search for better solutions while gradually developing a coherent structure of the overall solution. The algorithm provides a model both for psychoanalytic working through and for the normally ongoing process of psychological development and reworking whose deficiency is characteristic of much psychopathology. Working through in the analytic situation is the reactivation of this normal process, and a good analytic outcome is achieved when the process can continue without the analyst. Properties of the Boltzman algorithm clarify such concepts as "optimal" frustration and anxiety which correspond to working in the area where the stable but not rigid structures emerge in the algorithms operation. These studies are an example of how computer science and artificial intelligence are a potentially rich source for psychoanalytic theory.