Экзистенциальный подход в современной психологии личности
The paper traces the interrelationships between existential psychology and mainstream academic psychology of personality in history and in our days. The critical points of their intersection are traced: “nonclassical breakthrough” of the late 1920s-early 1930s, “humanistic revolution” of the 1960s and the subsequent transformation of psychological science in the 1970s, birth and growth of positive psychology in the 2000s. The analysis reveals growing convergence of these two lines which took the most pointed shape recently, along with the growing challenge of uncertainty in the present-day world. The basis for the integration of existential psychology into academic science is the emerging “functional paradigm” of psychological explanation, based on the primacy of non-stop autoregulated individual-world interaction that presents an alternative to the reactive-dispositional paradigm that has been prevailing in psychology through the 20th century.
Positive Psychology has become a major approach to the scientific study of individual, social, community and cultural processes. This book includes a selection of papers presented at the 3rd European Conference on Positive Psychology, organized in Braga at the University of Minho, Portugal in 2006. The title of the book reflects its main purpose and a main concern for positive psychology - Understanding Positive Life - balanced between the two scientific pillars, the research and the practice. Several contributions concerning theory, research and practice are presented in three different parts: Happiness, Well-being and Life Satisfaction (Part I); Performance, Coping and Quality of life (Part II); and assessment, Intervention and Practice for a Positive Life (Part III). Each part includes eight chapters, with a great diversity of authors coming from different countries.
The paper treats the issue of identity of the ego, which constitutes the central problem of personology. The skeptical approach to this problem, which sees it as not being subject to be resolved by means of science, began with D. Hume's work. Contemporary personologists (P. Ricoeur and others) approach this problem through study of culture, which imparts the ego with «narrative identity». Cultural historic psychology is a «Bridge of interpretations», upon which philosophy of culture meets psychology, and psychological data associated with «personality» are interpreted on the basis of some specific cultural philosophic theory. The «conflict of interpretations» plays and essential role in personology, which participates in the processes of emergence and overcoming of the cultural crisis. Philosophical and methodological problems that define the near term perspective development of personology are formulated: whether there are any «ego invariants» that remain regardless of any possible cultural determination; whether the ego possesses any rigidity in relation to cultural determination and, if it does, what is the nature of this rigidity; whether ego identity is destroyed when cultural determination diminishes or ceases, etc.
Supply chain management is rather new scientific field that reflects the concept of integrated business planning. This concept should be experts and practitioners in logistics and strategic management. Today, integrated planning to become a reality thanks to the development of information technology and computer technology. At the same time to achieve a competitive advantage is not enough high-speed, low-cost data transfer process. In order to effectively apply information technology tools necessary to develop a quantitative analysis of the effectiveness of supply chain management. The mam element of this tool are optimization models that reveal the complex interactions, the wave and the synergies that arise in supply chain management. In this article we consider one of the classes of such models - the so-called dynamic models of conveyor systems, processing of applications.
Uncertainty is a concept associated with data acquisition and analysis, usually appearing in the form of noise or measure error, often due to some technological constraint. In supervised learning, uncertainty affects classification accuracy and yields low quality solutions. For this reason, it is essential to develop machine learning algorithms able to handle efficiently data with imprecision. In this paper we study this problem from a robust optimization perspective. We consider a supervised learning algorithm based on generalized eigenvalues and we provide a robust counterpart formulation and solution in case of ellipsoidal uncertainty sets. We demonstrate the performance of the proposed robust scheme on artificial and benchmark datasets from University of California Irvine (UCI) machine learning repository and we compare results against a robust implementation of Support Vector Machines.
The distractive effects on attentional task performance in different paradigms are analyzed in this paper. I demonstrate how distractors may negatively affect (interference effect), positively (redundancy effect) or neutrally (null effect). Distractor effects described in literature are classified in accordance with their hypothetical source. The general rule of the theory is also introduced. It contains the formal prediction of the particular distractor effect, based on entropy and redundancy measures from the mathematical theory of communication (Shannon, 1948). Single- vs dual-process frameworks are considered for hypothetical mechanisms which underpin the distractor effects. Distractor profiles (DPs) are also introduced for the formalization and simple visualization of experimental data concerning the distractor effects. Typical shapes of DPs and their interpretations are discussed with examples from three frequently cited experiments. Finally, the paper introduces hierarchical hypothesis that states the level-fashion modulating interrelations between distractor effects of different classes.
This article describes the expierence of studying factors influencing the social well-being of educational migrants as mesured by means of a psychological well-being scale (A. Perrudet-Badoux, G.A. Mendelsohn, J.Chiche, 1988) previously adapted for Russian by M.V. Sokolova. A statistical analysis of the scale's reliability is performed. Trends in dynamics of subjective well-being are indentified on the basis the correlations analysis between the condbtbions of adaptation and its success rate, and potential mechanisms for developing subjective well-being among student migrants living in student hostels are described. Particular attention is paid to commuting as a factor of adaptation.