300961 Lecture Notes - Lecture 9: Multi-Agent System, Social Computing, Collective Behavior
Document Summary
Lecture 9: a multi-agent system (mas or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are dif cult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinfor cement learning: despite considerable overlap, a multi-agent system is not always the same as an agent-based model(abm). The goal of an abm is to search for explanatory insight into the collective behavior of agents (which don"t necessarily need to be. "intelligent") obeying simple rules, typically in natural systems, rather than in solving speci c practical or engineering problems. The terminology of abm tends to be used more often in the sciences, and mas in engineering and technology. Applications where multi-agent systems research may deliver an appropriate approach include online trading, disaster response and social structure modelling: multi-agent systems consist of agents and their environment.
