Agents Types

Question 1

What is an intelligent agent

Answer 1

Intelligent Agent is a system that perceives its environment and then create actions based on it to maximize chances of success
< Percepts
Agent <——> Environment
Sensors
|
Actuators ———-> Actions^

Question 2

How is setting for intelligent agent design specified

Answer 2

By PEAS
P: Performance Measure
E: Environment
A: Actuators
S: Sensors

Question 3

TYPES OF AGENTS

Answer 3

-Simple Reflex Agents
-Model based reflex agents
-Utility based Agents
-Goal based Agents
-Learning Agents

Question 4

Simple Reflex Agents

Answer 4

• Based on condition-action rules & implemented with appropriate production system
• No previous memory or maybe short term memory (i.e. current percept)
• Isn’t rational

Question 5

Model-Based Reflex Agents

Answer 5

Agents with memory (keep track of past states of the world)

Question 6

Goal-based Agents

Answer 6

~Have: - state information
- goal information (which describes desirable situations)
~ These type of agents consider future events too

Question 7

Utility Agents

Answer 7

Based their decision on classic axiomatic utility theory inorder to act rationally

Question 8

Learning Agents

Answer 8

-Take feedback from previous performances and then create changes in current or future actions based on that knowledge
- Agent consists of learning element ability

Question 9

What are elements of learning agents

Answer 9

-Learning Element: Responsible for making improvements
-Performance Element: Responsible for selecting external actions (entire agent)
-Critic: Gives feedback to learning element on how well the agent is doing wrt a fixed performance standard
-Problem Generator: Suggests actions that will lead to new & informative experiences

Question 10

What are planning agents

Answer 10

-Ask ‘what if’ questions
-Decisions based on (hypothesized) consequences of actions