Multi-agent Modeling of Biological Data Based on Virtual Reality

Many applications related to various fields indeed require the use of temporal data referred in time. Unfortunately, the practical application of such systems is not achieved without difficulties. Complications of a technical but so conceptual nature generally appear. The spatial and temporal data present fundamental problems with the DBMS, not only because of the considerable size and the constant growth of these data, but also because of the complexity of the geometrical and topological relations between these data. From this, the spatio-temporal modeling represents many difficulties. The main goal of our work is to solve this problem in the biological domain and particularly the spatio-temporal modeling and visualisation of molecular and functional network. In order to do that, we propose a system based on multiagent system with the virtual reality allowing the user to interact with the three-dimensional image objects. As a computer-generated representation of a three-dimensional environment, virtual reality enables the user to view and manipulate the contents of an environment. Virtual reality is often referred to as the technology that gives a user the experience of being immersed in a computer-generated virtual world. Although virtual reality is a very useful application for examining and understanding complex data sets. In this paper, we started by the state of the art of the existing systems for modeling the biological data and their interactions (molecular and functional), then we described the multiagent architecture of the spatio-temporal modeling of molecular and functional interactions based on virtual reality techniques