Definition
Coined by Allen Newell, the knowledge level analyzes intelligent systems based on their beliefs and goals, independent of their physical implementation. It separates the rationality of an agent’s actions from the specific algorithms used to achieve them. This abstraction allows designers to specify system requirements purely in terms of knowledge and intent, facilitating modular and scalable AI development.
Summary
An abstract design perspective focusing on what an agent knows rather than how it processes information internally.
Key Concepts
- Rationality
- Beliefs and Goals
- Abstraction
- Implementation independence
Use Cases
- Specifying requirements for autonomous agents
- Analyzing expert system behavior
- Designing high-level AI architectures