Lecture FOUR.

What is the structure of an agent in AI?

• program + actuators

• architecture + sensors

• program + sensors

• architecture + program

1. 1. ________ is implements the agent function.
   2. ________ is physical sensors and actuators.

• 1. 1. Apple
     2. Banana

• 1. 1. sensors
     2. actuators

• 1. Architecture
  2. Program

• 1. 1. Program
     2. Architecture

Which type of agent selects an actions based on the current precept, ignoring the rest of the precept history?

• Utility-based agent

• Model-based reflex agent

• Goal-based agent

• Simple reflex agent

What is the main problem with a simple reflex agent?

• Action depends on percept history

• Action depends on current percept

• Too adaptive to changes in the environment

• Not adaptive to changes in the environment

• Too big to generate and to store.

___________ is called limited intelligence, and works only in fully observable.

• Utility-based agent

• Model-based reflex agent

• Simple reflex agent

• Goal-based agent

According to this agent's type, Give me an example of this type.

• A real estate agent

• GPS finding a path

• telephone operator

• alarm clock

Answer explanation

This type is "Simple Reflex Agent"

What does a Model-based reflex agent handle?

• Partial observability of the environment and depends on the percept history

• Fully observability of the environment and Current state only

• Partial observability of the environment and depends on the current state only

• Utilities/preferences

According to this agent's type, Give me an example of this type?

• answering machine

• GPS finding a safer path

• GPS finding a path

• alarm clock

Answer explanation

This type is "Model-based Reflex Agents"

What does a Goal-based agent use to decide its actions?

• Goal

• Percept history

• Sensors

• Utilities/preferences

Knowing something about the current state of the environment is NOT ALWAYS enough to decide what to do, We need a goal.

• True

• False