EMERGENCE AS METAKNOWLEDGE: REFINING SIMULATION MODELS THROUGH EMERGENCE REIFICATION

This paper deals with the important concept of emergence in complex systems and in multiagent simulation. Research in this area yield to several definitions and classifications of emergent phenomena, but, only a few of them offer a, solution for emergence reification. As we know, this kind of notion does not have yet, formal definition, if any could be expressed, and we need to progress oil the conceptual meaning, leading to more global definitions but allowing to give a, general conceptual framework for emergence manipulation. We define emergence as a metaknowledge controlled by emergence laws. and we present such a framework in which emergence is reified through emergent structures. Within this framework, emergent phenomena Call be detected and injected in simulation systems to be manipulated like any other entity.