The document discusses different types of agent architectures. Simple reflex agents perform actions based only on the current situation and ignore any percept history. They only work in fully observable environments. Model based reflex agents use percept history and internal memory to make decisions about the world model. They can operate in partially observable environments. The document provides examples of simple reflex agents using condition-action rules and model based reflex agents dealing with partial observability. It references the book "Artificial Intelligence: A Modern Approach" for more details on agent structures.

1. The structure of agents
Part-I
7

2. Utility Based Agent
Goal-Based Agent
Model Based Reflex
Agent
Agent
Architecture
+
Program

3. Simple Reflex Agent:
 It performs actions based on a
current situation, ignoring any
percept history.
 They work only in environments that
are fully-observable in the current
percept.
 Simple reflex agents are built on the
condition-action rule.

4. Model Based Reflex Agent:
 It is an intelligent agent that uses
percept history and internal
memory to make decisions
about the ''model'' of the world
around it.
 Model-based reflex agents are
made to deal with partially
observable environment.

5. Thanks For
Watching
Reference:
Artificial Intelligence
A Modern Approach Third Edition
Peter Norvig and Stuart J. Russell
Next Topic:
Structure of Agents
Part II.
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