The Metagraph Multiagent System Based on the Semantic Complex Event Processing

Abstract

Abstract In this paper, the semantic complex event processing based on the metagraph approach and its usage in metagraph multiagent system are discussed. The metagraph model is a kind of complex graph model with emergence. The key element of the metagraph model is the metavertex, which makes the definition of metagraph holonic – a metavertex may include a number of lower-level elements and in turn, may be included in a number of higher-level elements. For metagraph transformation, the metagraph agents are proposed. The distinguishing feature of the metagraph agent is its homoiconicity, which means that it can be a data structure for itself. This is due to the fact that the metagraph agent may be represented as a set of metagraph fragments. Thus, the metagraph agent can change the structure of itself or the structure of the other metagraph agents. Changing the structure of a metagraph agent is a form of agent learning. The metagraph multiagent system based on semantic complex event processing using metagraph description of semantic complex event.