Basic Concept of AI Decision Loop
Root Concept
An AI agent works as a loop: observe the environment, decide based on a policy, take action, and learn from feedback.
CodePLU Goal
Upgrading Human Mental Models
Learn how to think in Workflows
Concept Development By codeplu.com
Artificial Intelligence starter concept workflow
What is Artificial Intelligence?
An AI agent works as a loop: observe the environment, decide based on a policy, take action, and learn from feedback.
This starter module focuses on a simple but practical workflow so learners can build intuition before advanced topics.
How an AI Agent Works
Observe
The agent collects signals from its environment and converts them into a usable state representation.
Decide
A policy maps the current state to the best available action according to the objective.
Improve
Feedback helps update behavior so the next decision is more reliable and goal-aligned.
Real World Example
Smart Thermostat Agent
A thermostat continuously senses temperature, chooses heating actions, and improves comfort over time.
Observation
The system reads room temperature, humidity, and occupancy.
Decision
It decides whether to heat now, wait, or lower energy consumption.
Feedback
It evaluates comfort and energy usage to refine future behavior.
FAQs
Final Words
Mastering this Artificial Intelligence workflow gives you a reliable base for advanced labs and projects.