A virtual field-based conceptual framework for the simulation of complex social systems

This highly interdisciplinary research paper discusses some new insights into the fundamental properties of information-rich social networks. It mainly focuses on: i) Postulating the general properties of an information-based networking economy; ii) Modeling emergent and self-organizing features of social networks; iii) Discussing how to simulate complex social systems using a field-based approach and multi-agent platforms. Additionally, this paper gives some ideas of how to construct a virtual field-based communications network of intelligent agents using currently available computational intelligence methods. A new simulation paradigm offers some useful concepts to transform multidimensional factor space (representing a multiplicity of phenomenal forms and interactions) into the most universal spectral coding system. This paper gives some ideas of how not only the communication mechanism but also the social agents can be simulated as oscillating processes.