Artificial Intelligence and Machine Learning: Unit I(b): Intelligent Agents and Problem Solving Agents
Agent Environment
Intelligent Agents and Problem Solving Agents - Artificial Intelligence and Machine Learning
Consider following example, A BLACK BALLS PICKER. It is a simple and made-up world so one can invent many variations.
Agent
Environment
Agent Description
Consider
following example, A BLACK BALLS PICKER
Picker
World (Environment)
It
is a simple and made-up world so one can invent many variations.
It
has two buckets at two locations, L1 and L2 (for simplicity consider square
area for location), full of BLACK and WHITE colour balls.
Picker
and its Perceptions
Picker
perceives at which location it is. It can perceive that, is there a BLACK ball
at the given location.
Agent
Actions
Picker
can choose to MOVE LEFT or MOVE RIGHT, PICK UP BLACK BALL or be ideal that as
do nothing.
A
function can be devised as follows - If the current location bucket has more
BLACK BALLS then PICK, otherwise MOVE to other square.
Diagram
Depicting Black Ball Picker
Following is the partial tabulation of a simple agent function for
the black ball picker.
Artificial Intelligence and Machine Learning: Unit I(b): Intelligent Agents and Problem Solving Agents : Tag: : Intelligent Agents and Problem Solving Agents - Artificial Intelligence and Machine Learning - Agent Environment
Related Topics
Related Subjects
Artificial Intelligence and Machine Learning
CS3491 4th Semester CSE/ECE Dept | 2021 Regulation | 4th Semester CSE/ECE Dept 2021 Regulation