Методы искусственного интеллекта
The present study aims to identify the relationship between intellectual abilities and the motives of occupational choice. Results of the study suggest what motives of occupational choice related to the level of certain intellectual abilities. So, for example, the negative connection between the level of mathematical abilities and the “career”, “confidence” and “authority” motives were found. The level of the “formallogic” ability is negatively related to the “joining”, “confidence” and “public benefit” motives. Most of the identified interrelations are negative. In particular, it was shown that respondents with the lower levels of intellectual abilities assessed the importance of majority motives much higher than respondents with the higher levels of various abilities in our sample. A new method intended to identify different motives of occupational choice was developed during this work. According to its results the factor structure of occupational choice motives has been obtained.
Programmer's professional activity requires an amount of work with different artificial languages. Many studies report that effective programming is correlated with the high level of verbal intelligence. In this paper we study the dynamics of artificial language learning among programmers in comparison with psychologists and the group of non-professional users. We show that programmers learn artificial language in a different way, then the other groups, and this difference is based on their professional requirements.
In Scheler's philosophy, the idea of a spiritual being which he calls the person is not the same as in classical Greek or Christian personalist understanding. Though this idea represents the intellect as a "partial form of spirit", according to Scheler, "personal dimensions of spirit are limited to a finite, human sphere of existence", and besides, psychovital sphere of human is no longer determined by the spirit as the former is much more powerful energetically than the latter.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.