Challenges in Problem Formulation
- Incomplete Information: The agent may not have access to all the necessary information about the environment.
- Dynamic Environments: The environment may change unpredictably, requiring the agent to adapt its problem formulation.
- Complex Constraints: Managing and incorporating complex constraints can be challenging.
How does an agent formulate a problem?
In artificial intelligence (AI) and machine learning, an agent is an entity that perceives its environment, processes information and acts upon that environment to achieve specific goals. The process by which an agent formulates a problem is critical, as it lays the foundation for the agent’s decision-making and problem-solving capabilities.
This article explores the steps and considerations involved in problem formulation by an intelligent agent.
Table of Content
- Understanding Problem Formulation
- Example: Problem Formulation for a Package Delivery by an Autonomous Drone
- Step 1: Define the Initial State
- Step 2: Define Actions and Transition Model
- Step 3: Define the Goal State and Objective Function
- Importance of Problem Formulation
- Challenges in Problem Formulation
- Conclusion