Simple reflex agent Learning agent Concept Multi-agent systems consist of agents and their environment. Typically multi-agent systems research refers to software agents. However, the agents in a multi-agent system could equally well be robots, humans or human teams. Agents can be divided into different types: Very simple like: passive agents or agent without goals (like obstacle, apple or key in any simple simulation)Active agents with simple goals (like birds in flocking, or wolf–sheep in prey-predator model)Or very complex agents (like cognitive agent, which contain complex calculations) Environment also can be divided into: Virtual EnvironmentDiscrete EnvironmentContinuous Environment Characteristics The agents in a multi-agent system have several important characteristics: Self-organization and self-steering Systems paradigms Many M.A. systems are implemented in computer simulations, stepping the system through discrete "time steps". First a "Who can?"
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