Knowledge based Agents

A knowledge-based agent is an intelligent system that uses knowledge to make decisions and take actions.

It has two main parts:

1. Knowledge Base: Stores information about the world (facts, rules, etc.).
2. Inference System: Uses reasoning to draw conclusions from the knowledge.

The agent can do the following:

• Represent states and actions: The agent should understand different situations and actions in the world.
• Incorporate new percepts: It must be able to take in new information from the environment.
• Update internal knowledge: The agent needs to modify its internal world view when new data arrives.
• Reason about the world: It can figure out what’s happening based on its knowledge.
• Decide on actions: It should use reasoning to choose appropriate actions.

Inference System

• Inference means deriving new sentences from old. Inference system allows us to add a new sentence to the knowledge base (KB).
• A sentence is a proposition about the world.
• Inference system applies logical rules to the KB to deduce new information.
• Inference system generates new facts so that an agent can update the KB.