Modeling and Verification of Simulation-Oriented Digital Selves

Networked life has now become one of our major forms. In social networks, each individual its own attributes and certain functions, which makes the current network present characteristics that previous did not have. The existing research believes structure individuals in a are same, they single at same time. However, any may be different networks time thus exhibit behaviors, such called digital selves. this paper, we propose simulation-oriented modeling method for selves, allows them to multiple have their decision-making mechanisms. model consists six parts, namely, pattern, affecter, decider, executor, monitor, connector. After verification three simulation experiments, namely coevolutions, ecological evolution an e-commerce market, multi-information coevolution spreading, can well applied various scenarios, verifies feasibility applicability.