Topic 5: Agent Types

 Agent Types : 

• Table-driven agent
• Simple reflex agent
• Reflex agent with internal state
• Agent with explicit goals
• Utility-based agent

Simple Reflex Agents: Reacting Swiftly to the Present

Model-Based Agents: Planning for the Future

Goal-Based Agents: Working Towards Objectives

Utility-Based Agents: Balancing Preferences and Trade-offs

Learning Agents: Adapting and Improving Over Time

(1) Table-driven agents 

use a percept sequence/action table in memory to find the next action. They are implemented by a (large) lookup table. 

(2) Simple reflex agents 

are based on condition-action rules, implemented with an appropriate production system. They are stateless devices which do not have memory of past world states. 

(3) Agents with memory - Model-based reflex agents

have internal state, which is used to keep track of past states of the world. 

(4) Agents with goals – Goal-based agents

are agents that, in addition to state information, have goal information that describes desirable situations. Agents of this kind take future events into consideration. 

(5) Utility-based agents 

base their decisions on classic axiomatic utility theory in order to act rationally. 

(6) Learning  agents 

they have the ability to improve performance through learning.

I) --- Table-lookup driven agents

Uses a percept sequence / action table in memory to 

find the next action. Implemented as a (large) lookup table. 

Drawbacks:

 Huge table (often simply too large)

 Takes a long time to build/learn the table