Swarm Superintelligence and Actor Systems

Abstract

There are different types and levels of intelligence in general and swarm intelligence, in particular. In this paper, we explore the transition from swarm intelligence to swarm super intelligence, i.e., to higher levels in the hierarchy of intelligence. While the conventional approach to swarm intelligence presupposes that it emerges in synergetic organization of simple systems such as ants or fish, to achieve super intelligence, it is necessary to unearth synergy in systems of intelligent agents or actors. To study such systems, we further develop multi-agent approach by creating a new mathematically based type of system models, which is called the System Actor Model allowing concurrency of processes and diversity of actions. Properties of this model are studied and applied to investigation of computational swarm intelligence and super intelligence.

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