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.     

Temporal memory over the adult lifespan

Performances of noncollege student young adults, middle-aged adults, and elderly adults were contrasted on word temporal memory and paired-associate learning tasks. A comparison group of college-student subjects was also evaluated on each task. Significant effects for age variation were found for each task. The age sensitivity for temporal memory conflicts with one of the criteria commonly established for determining the automaticity of a memory task. In addition, moderately high positive correlations were found for each age group between word temporal memory scores and paired-associate learning scores, implying the involvement of effortful processes over the adult lifespan in word temporal memory.     

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.     

Validity of the Millon Clinical Multiaxial Inventory in the assessment of affective disorders

The Millon Clinical Multiaxial Inventory (MCMI) was administered to 270 adult outpatients with major affective disorders at the same time that a semistructured, diagnostic interview was conducted by a clinician. The mood of the patient was then rated, and the clinician completed the Hamilton Depression Rating Scale and the Mania Rating Scale. A consensual diagnosis was arrived at by the team of investigators using DSM-III criteria. Significant correlations were found between four MCMI affective scales and the global mood state of the patient. Analysis of covariance indicated that the MCMI affective scales are significantly related to DSM-III affective disorders even after the effect of the current mood of the patient is partialled out. The clinical usefulness of each of the scales is discussed.