Logical pragmatism and dialectical materialism: The beginning of dialogue

A philosophical movement, correctly called logical pragmatism, is growing up around the philosophy of W. V. O. Quine, Soviet scholars follow this development with clear and well-grounded understanding of the origins and tenets of the system. This essay continues the dialogue between contemporary Marxism-Leninism and logical pragmatism recommended by Soviet scholars.A Russian translation of this article is being published inFilosofskie nauki (Moscow).     

Petitio principii and circular argumentation as seen from a theory of dialectical structures

This paper investigates in how far a theory of dialectical structures sheds new light on the old problem of giving a satisfying account of the fallacy of petitio principii, or begging the question. It defends that (i) circular argumentation on the one hand and petitio principii on the other hand are two distinct features of complex argumentation, and that (ii) it is impossible to make general statements about the defectiveness of an argumentation that exhibits these features. Such an argumentation, in contrast, has to be evaluated on a case-by-case basis. “Petitio principii”, this paper thence suggests, is one name for, in fact, a multitude of different and quite complex dialectical situations which require specific analysis and evaluation.     

Judgment theory and school psychology

This article reviews criticism of research on judgmental biases in cognitive psychology and suggests caution in applying the findings of this research to research in school psychology. Additionally, it provides suggestions regarding the potential of theory in cognitive psychology to reconcile discrepant findings in selected research on special education decision making.     

Social action theory for a public health psychology

Many illnesses can be prevented or limited by altering personal behavior, and public health planners have turned to psychology for guidance in fostering self-protective activity. A social theory of personal action provides an integrative framework for applying psychology to public health, disclosing gaps in our current understanding of self-regulation, and generating guidelines for improving health promotion at the population level. A social action view emphasizes social interdependence and interaction in personal control of health-endangering behavior and proposes mechanisms by which environmental structures influence cognitive action schemas, self-goals, and problem-solving activities critical to sustained behavioral change. Social action theory clarifies relationships between social and personal empowerment and helps explain stages of self-change.     

Age and motives for volunteering: testing hypotheses derived from socioemotional selectivity theory

Following a meta-analysis of the relations between age and volunteer motives (career, understanding, enhancement, protective, making friends, social, and values), the authors tested hypotheses derived from socioemotional selectivity theory regarding the effects of age on these volunteer motives. The Volunteer Functions Inventory was completed by 523 volunteers from 2 affiliates of the International Habitat for Humanity. Multiple regression analyses revealed, as predicted, that as age increases, career and understanding volunteer motivation decrease and social volunteer motivation increases. Contrary to expectations, age did not contribute to the prediction of enhancement, protective, and values volunteer motivations and the relation between age and making friends volunteer motivation was nonlinear. The results were discussed in the context of age-differential and age-similarity perspectives on volunteer motivation.     

Process training derived from a computer simulation theory

Kotovsky and Simon (1973) identified four basic subprocesses in their computer simulation of adult and adolescent performance on Thurstone letter series completion problems. In Experiment I, children from Grades 1 to 6 were pretested on those problems, and then experimental subjects were trained on two of the four processes as an attempt to experimentally support a correspondence between the computer subroutines and human cognitive processes. A posttest administered in the experimental and control conditions revealed a significantly greater improvement for experimental subjects, although both groups made significant gains. The children's distributions of errors were consistent with Kotovsky and Simon's predictions. In Experiment II, children from Grades 3 and 5 took four series completion tests without intervening training. The additional practice was sufficient for Grade 5 subjects to make improvements similar in magnitude to those produced by training. Grade 3 subjects, however, made no gains. These results are related to Tulving and Pearlstone's (1966) distinction between the availability and the accessibility of memory traces.     

Application of chaos theory to biology and medicine

The application of “chaos theory” to the physical and chemical sciences has resolved some long-standing problems, such as how to calculate a turbulent event in fluid dynamics or how to quantify the pathway of a molecule during Brownian motion. Biology and medicine also have unresolved problems, such as how to predict the occurrence of lethal arrhythmias or epileptic seizures. The quantification of a chaotic system, such as the nervous system, can occur by calculating the correlation dimension (D2) of a sample of the data that the system generates. For biological systems, the point correlation dimension (PD2) has an advantage in that it does not presume stationarity of the data, as the D2 algorithm must, and thus can track the transient non-stationarities that occur when the systems changes state. Such non-stationarities arise during normal functioning (e.g., during an event-related potential) or in pathology (e.g., in epilepsy or cardiac arrhythmogenesis). When stochastic analyses, such as the standard deviation or power spectrum, are performed on the same data they often have a reduced sensitivity and specifity compared to the dimensional measures. For example, a reduced standard deviation of heartbeat intervals can predict increased mortality in a group of cardiac subjects, each of which has a reduced standard deviation, but it cannot specify which individuals will or will not manifest lethal arrhythmogenesis; in contrast, the PD2 of the very same data can specify which patients will manifest sudden death. The explanation for the greater sensitivity and specificity of the dimensional measures is that they aredeterministic, and thus are moreaccurate in quantifying the time-series. This accuracy appears to be significant in detecting pathology in biological systems, and thus the use of deterministic measures may lead to breakthroughs in the diagnosis and treatment of some medical disorders.     

Risk-sensitive foraging theory and operant psychology.

Hastjarjo, Silberberg, and Hursh (1990) have presented data on the foraging behavior of rats and discussed it in terms of risk-sensitive foraging theory. Because risk-sensitive foraging theory is comprised of several different models, it does not lead to general predictions about when an organism should prefer a foraging option with high variance to a foraging option with low variance. Any comparison of data with the predictions of the theory must be based on an appropriate model. I draw attention to various experiments that are potentially relevant to the results reported by Hastjarjo et al. and show how the time period over which the organism must survive can influence a model's predictions about risk sensitivity.     

Contributions of object relations theory and self psychology to relational psychology and group psychotherapy

Object relations theory and self psychology are psychoanalytic perspectives that are especially concerned with interpersonal relations and their mental representations. Object relations theory began as an intrapsychic "singleton" psychology with the work of Freud and Melanie Klein. It subsequently evolved into a multi-person psychology with the work of Bion on groups, as well as the clinical and theoretical contributions of Winnicott and Fairbairn. Kohutian self psychology, which emerged later, has been interested in the relations between the self and significant others as mirroring and idealizing "self-objects." Stolorow's "inter-subjective perspective" emerged from self psychology as a full-fledged multi-person point of view. This article considers the significance of contemporary object relations theory and self psychology as relational, multi-person perspectives in terms of their application to group psychotherapy, focusing upon the group-as-a-whole, projective identification, transitional space and object, and self/self-object relations as particularly useful constructs. A clinical vignette is provided.     

Application of chaos theory to biology and medicine.

The application of "chaos theory" to the physical and chemical sciences has resolved some long-standing problems, such as how to calculate a turbulent event in fluid dynamics or how to quantify the pathway of a molecule during Brownian motion. Biology and medicine also have unresolved problems, such as how to predict the occurrence of lethal arrhythmias or epileptic seizures. The quantification of a chaotic system, such as the nervous system, can occur by calculating the correlation dimension (D2) of a sample of the data that the system generates. For biological systems, the point correlation dimension (PD2) has an advantage in that it does not presume stationarity of the data, as the D2 algorithm must, and thus can track the transient non-stationarities that occur when the systems changes state. Such non-stationarities arise during normal functioning (e.g., during an event-related potential) or in pathology (e.g., in epilepsy or cardiac arrhythmogenesis). When stochastic analyses, such as the standard deviation or power spectrum, are performed on the same data they often have a reduced sensitivity and specificity compared to the dimensional measures. For example, a reduced standard deviation of heartbeat intervals can predict increased mortality in a group of cardiac subjects, each of which has a reduced standard deviation, but it cannot specify which individuals will or will not manifest lethal arrhythmogenesis; in contrast, the PD2 of the very same data can specify which patients will manifest sudden death. The explanation for the greater sensitivity and specificity of the dimensional measures is that they are deterministic, and thus are more accurate in quantifying the time-series. This accuracy appears to be significant in detecting pathology in biological systems, and thus the use of deterministic measures may lead to breakthroughs in the diagnosis and treatment of some medical disorders.