Multi-agent systems consist of agents and their environment. Generally, multi-agent systems research refers to software agents. Though, the agents in a multi-agent system could equally well be robots, humans or human teams. A multi-agent system may contain combined human-agent teams.
Agents can be segmented into types spanning simple to complex. Categories include:
● Passive agents or "agent without goals" (such as obstacle, apple or key in any easy simulation)
● Active agents with simple goals (for example, birds in flocks, or wolf–sheep in prey-predator model)
● Cognitive agents (complex calculations)
For more information regarding the potential of a Multi-Agent System Approach for Production Control in Smart Factories, refer to the following link:
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