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Simple reflex agents

concept · part of AI agent

Simple reflex agents make decisions based purely on current input, without internal state. Example: a thermostat adjusting temperature based on current reading.

They follow condition–action rules, reacting to specific inputs in predefined ways.

Learning agents have the ability to learn and adapt their behavior based on feedback from the environment. They can improve decision-making over time by refining their knowledge base and adjusting strategies.

Many AI agents need to communicate with other agents, systems, or humans. The communication interface handles input and output data, enabling interaction. In multi-agent systems, this allows agents to cooperate, share information, or negotiate. Example: a virtual assistant communicates with a user through natural language processing and speech synthesis, responding to voice commands.

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