AbstractIn order to understand basic mechanisms of so-called Knowledge Ecosystems, the paper presents a study for modelling the emergence and diffusion of knowledge in regards to environmental conditions. The text gives an outline for the description of Knowledge Ecosystems by integrating 1) models for environmental dynamics based on resources and attractiveness, and 2) models for knowledge dynamics based on the behaviors and processes of knowledge agents (innovators) and agencies. As key methods, the work employs Cellular Automata for the modelling of knowledge environments, as well as agent models for the simulation of knowledge agents (innovators). The paper presents preliminary results of the ongoing study, including a first version of both scopes integrated into one descriptive system
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