Modeling and Simulating Multi-agent Model Connections: An Application to Information Paradigm

This paper presents the information paradigm as a new vision which attempts to connect the conscious experience with the physical world. Two issues concerning this paradigm are investigated: the multi-agent model, which is the base of this theory, and the agent´s relations, actually their information states. The relations between them, including their attributes and characteristics, participate in forming so called `baby universe´ structures. The simulation of this multi-agent model is done in NetLogo 4.0.4., which is a programmable modeling environment for simulating natural and social phenomena. This environment is particularly well suited for modeling complex systems developing over time. We will simulate fully and partly connected networks in random and circuit arrangements. They will be investigated from mathematical perspective, as a strong support for the theory. As an application to this theory we´ll calculate the rest mass ratio of the muon, electron and tauon sub particles, compared with the results obtained at CERN. The integration of the two perspectives offers the appropriate scientific foundation for the new paradigm and see the offering of the new vision of physical reality enabling to resolve some of the main barriers known in contemporary quantum mechanics and artificial intelligence.