UsualSpace: A Smart Framework to Support Evolutive-Agents
Mohamed Dbouk, Ihab Sbeity, Hamid Mcheick, Haytham Douaihy · Journal of Software · 2014
This paper stands for a methodical framework to model and explore evolutive agents (e.g. Factories, Hospitals, Sport-Centers, etc.). Agents share same space; they evolve, interact and transit. They are inter-dependent, and have analytical state-full's characteristics/dimensions. The framework provides solutions for analysis and prediction, it aims to support an analytical methodology that shows; how agents evolve, how evolutions propagate, etc. Finally, key features, that illustrate the “UsualSpace navigational framework” basis and foundations, are deeply exposed in this paper, and also experimented through an instructive case study.