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1

HOG CYCLE COMPUTER SIMULATION MODELLING

100%
Kwasnicki W.
Studia Ekonomiczne (Economic Studies)
|
2007
|
issue 1-2(52-53)
69-84
EN
In the first section a preliminary model of well known hog cycle is presented. The model catches the main feature of the hog cycle, namely the natural delay between investment and production ('delayed response effects'). Intentionally the model was constructed in such a way that in the further stages of development it can be used as a metaphor for more general model of business cycles. In the second part of the paper a simulation study of the hog cycle model is presented. It is shown that a delayed response effect is important factor causing cyclical mode of development but it is hardly to say that it is the only necessary factor causing cycles emergence. Emergence of fluctuations requires a tuning of different factors, such as the investment delay, the price delay, sensitivity of producers (farmers) to react on signals flowing from the market, the growth rate of the market, price elasticity of demand. It is shown also that, contrary to common view, in the long term, the hog cycle causes higher average profit of farmers compare to the situation of forcing smooth (no cycle) mode of development.
2

VIRTUÁLNE EVOLUČNÉ HOSPODÁRSTVO (SIMULÁCIA PODNIKOV A ZAMESTNANCOV MULTIAGENTOVÝM SYSTÉMOM)

100%
Čimbora M.
Ekonomický časopis (Journal of Economics)
|
2005
|
vol. 53
|
issue 3
330-339
EN
The article deals with a question - how to create and to use simple computer simulation to investigate the evolution of the virtual economy. The simulation model covers basic relationships between the companies, between the employees and the companies and between the employees, as well. In spite of the fact, that the simulation models represent a simplified view on objective and complex reality, we can recommend to use them to understand better to the problem area.
3

Monitorowanie autokorelacyjnego procesu za pomocą łańcuchów Markowa

100%
Kończak G., Szerszunowicz M.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2012
|
issue 892
69-78
EN
The concept of the statistical control chart was developed in 1924 by W. A. Shewhart. The control chart is a graphical display of a quality characteristic such as sample mean, standard deviation or range. The classical control charts are constructed under such assumptions as the form of distribution and independence, and the normality of the distribution is usually assumed. In many situations we may have reason to doubt the validity of the independence assumption – for example, in chemical processes where consecutive measurements on process characteristics are often highly correlated. The paper presents a proposal for a control chart for monitoring auto-correlated processes. The properties of this control chart were analysed in a Monte Carlo study.
4

VYUŽITIE SOFTBOTOV NA KULTIVÁCIU EKONOMICKÝCH VEDOMOSTÍ

63%
Andrášik L.
Ekonomický časopis (Journal of Economics)
|
2014
|
vol. 62
|
issue 8
861 – 881
EN
The complex phenomena in a global knowledge-based society and economy are causing difficulties in understanding by conventional modes. The economists should consequently analyse new phenomena. They need to build new theories and disseminating them to wide community. New results in cognitive sciences and progressing ICT, advances in applied informatics and computational intelligence there are arising new opportunities for a dialogue with mental models and theories in the economic sciences. In economics the creation of virtual laboratories and of simulation experimentation with them is useful, for the author uses name “Economic Softbot”. He refers to the dialogue with such softbots as storytelling. The topic of the essay belongs to the class of emergent research/education/learning technologies. Their innovative power is in the dominance of constructive upon instructive approaches and based on holistic qualitative perception of the various complexities.
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