Title
The virtual reality applied to biology understanding: The in virtuo experimentation
Abstract
The advent of the computer and computer science, and in particular virtual reality, offers new experiment possibilities with numerical simulations and introduces a new type of investigation for the complex systems study: the in virtuo experiment. This work lies on the framework of multi-agent systems. We propose a generic model for systems biology based on reification of the interactions, on a concept of organization and on a multi-model approach. By 'reification' we understand that interactions are considered as autonomous agents. The aim has been to combine the systemic paradigm and the virtual reality to provide an application able to collect, simulate, experiment and understand the knowledge owned by different biologists working around an interdisciplinary subject. Here, we have been focused on the urticaria disease understanding. Autonomy is taken as a principle. The method permits to integrate different natures of model in the same application using chaotic asynchronous iterations and C++ library: AReVi. We have modeled biochemical reactions, molecular 3D diffusion, cell organizations and mechanical 3D interactions. It also permits to embed different expert system modeling methods like fuzzy cognitive maps. This work provides a toolbox easily adaptable to new biological studies.
Year
DOI
Venue
2006
10.1016/j.eswa.2005.09.051
Expert Syst. Appl.
Keywords
Field
DocType
complex systems study,biology understanding,virtuo experiment,systems biology,new type,multi-agent systems,in virtuo,new biological study,interactions reification,computer science,virtual reality,embed different expert system,different nature,virtuo experimentation,new experiment possibility,different biologist,multi agent systems,complex system,fuzzy cognitive map,system biology,autonomous agent,expert system,numerical simulation,simulation experiment,multi agent system
Complex system,Asynchronous communication,Autonomous agent,Virtual reality,Computer science,Fuzzy cognitive map,Expert system,Systems biology,Multi-agent system,Human–computer interaction
Journal
Volume
Issue
ISSN
30
1
Expert Systems With Applications
Citations 
PageRank 
References 
12
0.93
14
Authors
7
Name
Order
Citations
PageRank
Gireg Desmeulles1213.02
G. Querrec2120.93
P. Redou3120.93
S. Kerdélo4120.93
L. Misery5120.93
V. Rodin6120.93
J. Tisseau7463.25