Observation of large-scale multi-agent based simulations

The computational cost of large-scale multi-agent based simulations (MABS) can be extremely important, especially if simulations have to be monitored for validation purposes. In this paper, two methods, based on self-observation and statistical survey theory, are introduced in order to optimize the computation of observations in MABS. An empirical comparison of the computational cost of these methods is performed on a toy problem

Learning styles in students of kermanshah (Iran) university of medical sciences, 2015

Introduction: Since learning has a major role in health skill development and performing right care method, therefore, students must learn how to act in educational environment as a professional individual. This study is a cross-sectional study, which carried out among 218 students of Kermanshah University of Medical Sciences in 2015. In order to collect data, a questionnaire containing demographic questions and Kolb Learning Style Inventory was used. In the studied sample, 72 of samples were females and 27.1 were males. Among Learn ways, the highest mean correlated to objective experience (34.46) and the lowest correlated to abstract conceptualization (32.51). among the sample, of people who had absorbed learning style was 38 people (17.4), converging learning style was 86 (39.4), divergent learning style was 25 (11.5) and adaptive learning style was 69 (31.7). There was no statistically significant relationship between learning styles and demographic variables. This study showed that the majority learning style among studied population is converging learning style. Therefore, using appropriate strategies and teaching methods accompanied by this style learning can largely improve the effectiveness of training in the target group. © 2016, Institute of Integrative Omics and Applied Biotechnology. All rights reserved