Reactive Agent

A Reactive Agent is an intelligent agent that maps perceptions directly to actions through reactive agent rules without internal state representation.

• AKA: Reflex Agent, Stimulus-Response Agent, Simple Reflex Agent.
• Context:
  • It can typically respond to Reactive Agent Environment Changes in reactive agent real-time.
  • It can typically execute Reactive Agent Condition-Action Rules for reactive agent behavior generation.
  • It can typically operate without Reactive Agent Memory or reactive agent planning capability.
  • ...
  • It can often implement Reactive Agent Behaviors through reactive agent stimulus-response mappings.
  • It can often achieve Reactive Agent Goals through reactive agent emergent behavior.
  • It can often demonstrate Reactive Agent Robustness in reactive agent dynamic environments.
  • ...
  • It can range from being a Simple Reactive Agent to being a Complex Reactive Agent, depending on its reactive agent rule set size.
  • It can range from being a Pure Reactive Agent to being a Hybrid Reactive Agent, depending on its reactive agent architectural elements.
  • It can range from being a Deterministic Reactive Agent to being a Stochastic Reactive Agent, depending on its reactive agent response variability.
  • It can range from being a Single-Sensor Reactive Agent to being a Multi-Sensor Reactive Agent, depending on its reactive agent perception capability.
  • ...
  • It can integrate with Reactive Agent Sensor Systems for reactive agent perception processing.
  • It can connect to Reactive Agent Effector Systems for reactive agent action execution.
  • ...
• Example(s):
  • Reflex-Based Reactive Agents, such as:
    • Thermostat Reactive Agent implementing reactive agent temperature control.
    • Collision Avoidance Reactive Agent for reactive agent safety behavior.
  • Subsumption-Based Reactive Agents, such as:
    • Brooks Robot Reactive Agent demonstrating reactive agent layered control.
    • Insect-Inspired Reactive Agent with reactive agent simple behaviors.
  • Rule-Based Reactive Agents, such as:
    • Production System Reactive Agent using reactive agent if-then rules.
    • Event-Driven Reactive Agent for reactive agent immediate response.
  • ...
• Counter-Example(s):
  • Deliberative Agent, which employs reactive agent planning mechanism absence.
  • Model-Based Agent, which maintains reactive agent internal world model absence.
  • Learning Agent, which adapts through reactive agent experience accumulation absence.
• See: Intelligent Agent, Subsumption Architecture, Behavior-Based Robotics, Stimulus-Response Theory, Simple Agent, Agent Architecture, Real-Time System.

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