Advanced scientific computing and visualization
Present level of knowledge and research activity
(at the beginning of the project)
Advanced scientific computing (including non-standard ones based on knowledge-based and multi-agent approaches and on emergence) developing and use for dynamic modeling and simulation of some experimental hypotheses and their as well as their results computational virtualisation and visualization is proposed.
The use of computational methods to display and examine scientific data is recently an effective and often used way of scientific research. Traditional scientific visualization transforms numerical or symbolic data which characterize the studied entities and/or phenomena, into geometric computer-generated (static or dynamic) images in order to better analyze and explore, to improve decision making, or for purposes of presentation. All the above mentioned dimensions of scientific visualization are relevant for the presented research project. Moreover, for the purposes of the presented research, it seems to be appealing to incorporate to the depository of scientific visualization some aspects of multi-agent approaches. This seems to be important and scientifically appealing as well mainly for individual characterisation of certain objects under study and then for exploring the (emergent) behavior of different types of societies formed for these objects and their mutual interrelations according to predefined laws. For improving the decision-support side of application of methods of scientific visualization it seems to be reasonable to include into consideration also (traditional or multi-agent) knowledge-based systems.
The involved research staff have significant professional experience and influential results in theoretical study of multi-agent and knowledge-based systems [1,2], as well as practical experience are in the field of computer based virtualization of reality and visualization .
 J. Kelemen, A. Kelemenová, C. Martín-Vide, V. Mitrana, Theoretical Computer Science 244 (2000) 289-298
 A. Kubík, Artificial Life 9/1 (2003): 41 – 65
 P. Čermák, M. Pokorný, An Improvement of Non-Linear Neuro-Fuzzy Model Properties , Neural Network World, ICS AV CR, Praha, 2001, ISSN 1210-0552, pp. 503-523.
Basic ideas of our research plan in the proposed area
Advanced scientific computing (including non-standard ones based on knowledge-based and multi-agent approaches) used for dynamic modeling of interacting systems and simulation of some hypotheses. Results will be computationally virtualized and visualized.