UsualSpace; Evolutive-Agents modelling and analysis
نویسندگان
چکیده
This paper stands for an analytical approach modelling and exploring an evolutive usual-space. The space that we consider is intended to emerge heterogeneous evolutive business-agents (e.g. Factories, Hospitals, Sport-Centres, etc.). The space stimulates an analytical multi-layered structure where agents have multiple-states based on analytical characteristics (analytical dimensions), they are multidimensional and inter-dependable; they evolve, interact and transit. The approach aims to provide an analytical methodology that shows how agents evolve in space, how evolution triggers other agent’s evolution, and provides solutions for analysis and predicting future state for “agents”. Finally, key features that illustrate that we call “hyper-space navigational framework” basis and foundations are deeply exposed in this approach, and experimented with an instructive case study.
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UsualSpace: A Smart Framework to Support Evolutive-Agents
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