The more I dig around in the fields of Multi-agent Systems and Artificial Intelligence, the more I realize how murky and ill-defined things are on the edge of knowledge. It seems even the greatest academics too often talk at cross-purposes, apparently adrift in the sea of jargon….
A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used on non-computing related scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.
When people speak of “an AI” they are usually referring to an as yet hypothetical “strong AI“, increasingly called Artificial General Intelligence.