A Theoretical Agent-based Framework for Virtual Plant: from Perspective of Pervasive Computing

Traditionally, virtual plant software often isolates the plant, human being and the environment, an agent-based framework is proposed for simulating the perception, action and reaction within a plant system. The framework characterizes in modeling a plant with a series of organ agents and representing the environment with three kinds of autonomic agents. We aim to construct software of virtual plant with an agent oriented method, to explore the physiology of plant and the relationship between plant and its environment by their inner mechanisms. The proposed framework can be seen as a virtual implementation of pervasive computing environment, it aims to explore a new approach for simulating more natural plant in virtual space, and to provide users a tool that permits to model phenomena that are very difficult to model by hand or by other techniques.