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.     

Drinking practices among black and white alcoholics and alcoholics of different personality types

In order to examine the effects that race and personality type have on self-reported drinking practices, samples of 49 White and 49 Black male alcoholics were matched on age and education, and classified into two personality types according to MMPI scores. The results of multivariate and univariate analyses of variance yielded significant main effects. White alcoholics reported a greater: (a) use of alcohol for symptomatic relief of psychological distress, (b) loss of motor control and tendency to engage in destructive acts, and (c) daily consumption of beverage alcohol than Black alcoholics. Alcoholics with psychiatric-appearing MMPI profiles reported greater: (a) social benefits of alcohol use, (b) alcohol use for symptomatic relief of psychological distress, and (c) perceptual distortions associated with alcohol withdrawal than alcoholics with characterlogical-appearing MMPIs. Results were discussed in terms of need to control confounding effects of biosocial variables in cross-cultural research and implications that these effects may have on the generalizability of alcoholic personality typologies.     

A comparison of two measures of egocentrism

This study examined the relationship between two prominent measures of egocentrism, Enright's Adolescent Egocentrism Scale (AES) and Elkind's Imaginary Audience Scale (IAS), in a sample of 458 adolescents, between 10 and 15 years old. Both correlational and factor analyses indicated that the two measures assess distinctly different phenomena. As predicted, IAS scores were correlated with self-reported levels of shyness, nervousness, and social skills. These results provide partial evidence for the validity of the IAS as a measure of self-consciousness, though not necessarily egocentrism per se. The validity of the AES was not examined.