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This repository contains AI agents designed to solve real-world problems, created for an Artificial Intelligence course.

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AI-Agents

This repository contains AI agents designed to solve real-world problems.

Vacuum-Cleaner-Problem

Creating Intelligent Agents: Objective: simulating the classic "vacuum world" problem, where Vacuum Cleaner agent is tasked with cleaning a set of rooms.

Defining the Environment A room with two squares: A and B. Each square can be either Clean or Dirty.

Defining the Agent: The vacuum agent can move Left or Right. The vacuum agent can Suck dirt (clean the square). The vacuum agent can sense its location and whether the square is dirty.

A simple reflex agent is implemented that reacts to its percepts by performing actions based on predetermined condition-action rules. It perceives its environment and follows a prescribed action if a certain condition is met.

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This repository contains AI agents designed to solve real-world problems, created for an Artificial Intelligence course.

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