Agents and PEAS

What is Intelligent Agent ?

It is an restricted program which collects information from environment , learn from it and make decisions to achieve the goal

What are the types of Intelligent Agent?

• Simplex Reflex Agent

• Model Reflex Agent

• Goal Agent

• Utility Agent

• Learning Agent

• Multipurpose Agent

Simplex Agent Model

• It is based on current condition

• If condition is true then we take the action if not then there will be no action

• no past memory

Model Reflex Agent

• It has its own internal memory

• It uses past information

• ex: Robot vaccum cleaner : Cleans dirty area and remember to not got there

Goal Agent

It makes decision on the basis of future consequences to achieve an specific goal

Ex: GPS navigation

Utility Agents

In this we not only takes action based on goals but also that should be good values

For ex: If we want to get good marks in AI then we can simiply study hard or get into HOD’s mam cabin at night !

SO like the path taken for acheiveing a goal should consists with good values

Learning Agents:

It can learn from experience and improve its performance over time

Ex; Spam detectorr

To check if the Agent is working effectively or not we use ______

PEAS framework

What is PEAS?

Those are resoposible for checking if agents are working effectively or not

What is Perferoamce measure?

It is a way to judge the success of an agent

What is Enviroment?

It is the surrounding in which agents work and make decisions

What is Actuators ?

The work of the actuator is to deliver the output of action to the enviroment

What are Sensors?

The work of sensor is to take input for the agents

What are the types of Enviroment?

• Fully Observable & Partially Observable

• Episodic & Sequential

• Static & Dynamic

• Discrete & Continuous

• Deterministic & Stochastic

Fully Observable & Partially Observable

Types	Defination	Ex
Fully Observable	Agent can see everything it needs to decide	Chess game , all position visible
partially Observable	Agent can see specific part of environment	Driving car and cant see blind spot

Episodic & Sequential

Types	Definition	Ex
Episodic	Each task is independent from others	face lock different
Sequencial	Current tasks affects the next one	playing chess ( current decision) will effect next decision

Static and Dynamic

Types	Defination	Ex
Static	Enviroment stay same	puzzle
Dynamic	Enviroment changes on its own	Stock Market

Discrete & Continuous

Types	Definition	Ex
Discrete	In this data is countable	No of student
Continuous	In this data is uncountable	Height

Deterministic and Stochastic

Types	Defination	Ex
Deterministic	In this outcome is completely predicatable	Solving math problme
Stochastic	Outcome is random	Roll dicing