Building a Simple Reflex Agent in Python - Create a Smart Room Cleaning Agent

Overview

Dive into building a simple reflex agent in Python that navigates a 2x2 grid to detect and clean dirty rooms, using if-then logic and Matplotlib for visualization.

Syllabus

• Introduction to Simple Reflex Agents
Definition and characteristics of reflex agents
Basic logic-based decision making
• Overview of the Project
Project goals and scope
Introduction to the 2x2 grid environment
• Setting Up the Development Environment
Installing Python and necessary libraries
Introduction to Matplotlib for visualizing the grid
• Designing the Reflex Agent
Understanding the percepts and actions
Implementing if-then rules for decision making
• Implementing the Grid Environment
Representing the grid in Python
Defining grid states: clean vs. dirty
• Coding the Simple Reflex Agent
Writing Python code for agent perception
Defining actions: move and clean
• Integrating the Agent with the Environment
Simulating the agent's interaction with the grid
Handling agent movements and cleaning actions
• Visualizing with Matplotlib
Setting up the grid visualization
Animating the agent's movements and cleaning process
• Testing and Debugging
Running the agent in various scenarios
Addressing common issues and troubleshooting
• Extending the Basic Agent
Adding complexity to the agent's decision-making
Exploring potential improvements and optimizations
• Course Conclusion
Recap of key learnings
Suggestions for further study and projects

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Subjects

Programming