SlideShare a Scribd company logo
PRESENTATION TOPIC:
ALPHA-BETA PRUNING
Contents:
 What is Alpha-Beta?
 Why we use Alpha-Beta pruning?
 What happened for reducing the time limit?
 Advantages
 What is Alpha and Beta in it?
 What is Alpha? What is Beta?
 Alpha Beta pruning (overview)
What is Alpha Beta?
Alpha Beta pruning is advanced part of minimax.
It is anything but another calculation. We consider
it an enhancement strategies for minimax
calculation.
Why we use Alpha Beta pruning?
Because which time limit we
required or have to solve a problem
of minimax it will reduce the time.
What happened for reducing the time limit?
 It lessen the calculation time, enable us to
look a lot quicker
.
 It cut off branches in the amusement tree
which require not be looked (In diversion
tree we go to more profound dimension for
looking through an esteem)
Advantages:
 The principle advantage is that when we
influence a diversion tree then it to can remove
those branches that we have no need (So we have
no compelling reason to go at that dimension to
fathom it)
 Because we have better move to go there.
What isAlpha ? What is Beta?
Alpha is the best value that maximizer
currently can guarantee at that level or
above.
Beta is the best value that minimizer
currently can guarantee at that level or
above.
-l_JN
F;E TA f .'( u r
--C
·1
-)
- -
0
0
BFTA
0
AL
> A R f TA f . f U
N JNC
.,
-
I ( •S!O
/ f >il() I (
6
.,..G&J
- 't
<p )-.
Q

Q J  _
7

.

(!)CD @cb ©"© ®
(£J
IC. ( -o0, lf ) '1
Q
t<... ( - I t )>o
G )
" " ) · Lt
Lt) ,
ISFT-i
0
P
>
F T-A . ( U r-.iJNC
·
1
-- -
.,..,.. . '¥ ti<..,
-=:r--
lf·· c- I
-
"< l
)
•
0
<
, ( - , ) , 6
,.. ( 4 1 G) '1
C1 ( -c;01Lf ) .> L
/
«... ( t.i, 'l.
). • ,.....
BF TA
Jt:::1tJ:!:
lf • DO I
I ( · tt
G
"'L ®
s
AL
=
H
-A
· -
'1
I(( Lt, ..s
o
ec. '-
f ( oo, ) s
(C
'S, .r
11f-),
@
I( ...( . . ,I f1. ) #.=,.
I( c
.,,
( ) 1=
,? S
-
®
®
l5 T+
5
,
ALPHA-BETA PRUNING (Overview):

More Related Content

PPTX
Stem Pyramid Analysis Exploring the Necessity of Context in Art.pptx
PPTX
mind map is true picture of parts explanation on ontology
PDF
Engineering throughout history sujithra.pdf
PDF
01 - Genesis of IoT.pdfgenesis of iot for engineering
PDF
VERY NICE FOR CSE 3RD YEAR AND IOT STUDENTS
PPT
how to make a very good journal paper for
PDF
all syllabus of second year cse departmentcse department syllabus.pdf
PPTX
HILL CLIMBING FOR ELECTRONICS AND COMMUNICATION ENG
Stem Pyramid Analysis Exploring the Necessity of Context in Art.pptx
mind map is true picture of parts explanation on ontology
Engineering throughout history sujithra.pdf
01 - Genesis of IoT.pdfgenesis of iot for engineering
VERY NICE FOR CSE 3RD YEAR AND IOT STUDENTS
how to make a very good journal paper for
all syllabus of second year cse departmentcse department syllabus.pdf
HILL CLIMBING FOR ELECTRONICS AND COMMUNICATION ENG

More from neelamsanjeevkumar (20)

PPTX
simulated aneeleaning in artificial intelligence .pptx
PPTX
Feed forward back propogation algorithm .pptx
PPTX
IOT Unit 3 for engineering second year .pptx
PPT
Genetic-Algorithms forv artificial .ppt
PPT
Genetic_Algorithms_genetic for_data .ppt
PPT
Genetic-Algorithms for machine learning and ai.ppt
PPT
Stepwise Selection Choosing the Optimal Model .ppt
PDF
the connection of iot with lora pan which enable
PDF
what is lorapan ,explanation of iot module with
DOCX
What is First Order Logic in AI or FOL in AI.docx
PPTX
2_RaspberryPi presentation.pptx
PPTX
LINEAR REGRESSION.pptx
PPT
Adaline and Madaline.ppt
PDF
Neural networks are parallel computing devices.docx.pdf
PDF
PRNN syllabus.pdf
PDF
PRNN syllabus.pdf
PPT
backprop.ppt
PPT
feedforward-network-
PPT
An_Introduction_To_The_Backpropagation_A.ppt
PDF
conept map gate.pdf
simulated aneeleaning in artificial intelligence .pptx
Feed forward back propogation algorithm .pptx
IOT Unit 3 for engineering second year .pptx
Genetic-Algorithms forv artificial .ppt
Genetic_Algorithms_genetic for_data .ppt
Genetic-Algorithms for machine learning and ai.ppt
Stepwise Selection Choosing the Optimal Model .ppt
the connection of iot with lora pan which enable
what is lorapan ,explanation of iot module with
What is First Order Logic in AI or FOL in AI.docx
2_RaspberryPi presentation.pptx
LINEAR REGRESSION.pptx
Adaline and Madaline.ppt
Neural networks are parallel computing devices.docx.pdf
PRNN syllabus.pdf
PRNN syllabus.pdf
backprop.ppt
feedforward-network-
An_Introduction_To_The_Backpropagation_A.ppt
conept map gate.pdf
Ad

Recently uploaded (20)

PPTX
Graph Data Structures with Types, Traversals, Connectivity, and Real-Life App...
PPT
Occupational Health and Safety Management System
PDF
Influence of Green Infrastructure on Residents’ Endorsement of the New Ecolog...
PDF
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
PDF
Accra-Kumasi Expressway - Prefeasibility Report Volume 1 of 7.11.2018.pdf
PDF
distributed database system" (DDBS) is often used to refer to both the distri...
PPTX
CURRICULAM DESIGN engineering FOR CSE 2025.pptx
PDF
737-MAX_SRG.pdf student reference guides
PPTX
AUTOMOTIVE ENGINE MANAGEMENT (MECHATRONICS).pptx
PPT
Total quality management ppt for engineering students
PDF
UNIT no 1 INTRODUCTION TO DBMS NOTES.pdf
PDF
Categorization of Factors Affecting Classification Algorithms Selection
PPTX
Sorting and Hashing in Data Structures with Algorithms, Techniques, Implement...
PDF
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
PDF
August 2025 - Top 10 Read Articles in Network Security & Its Applications
PPTX
Current and future trends in Computer Vision.pptx
PDF
A SYSTEMATIC REVIEW OF APPLICATIONS IN FRAUD DETECTION
PDF
Exploratory_Data_Analysis_Fundamentals.pdf
PDF
III.4.1.2_The_Space_Environment.p pdffdf
PPTX
Module 8- Technological and Communication Skills.pptx
Graph Data Structures with Types, Traversals, Connectivity, and Real-Life App...
Occupational Health and Safety Management System
Influence of Green Infrastructure on Residents’ Endorsement of the New Ecolog...
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
Accra-Kumasi Expressway - Prefeasibility Report Volume 1 of 7.11.2018.pdf
distributed database system" (DDBS) is often used to refer to both the distri...
CURRICULAM DESIGN engineering FOR CSE 2025.pptx
737-MAX_SRG.pdf student reference guides
AUTOMOTIVE ENGINE MANAGEMENT (MECHATRONICS).pptx
Total quality management ppt for engineering students
UNIT no 1 INTRODUCTION TO DBMS NOTES.pdf
Categorization of Factors Affecting Classification Algorithms Selection
Sorting and Hashing in Data Structures with Algorithms, Techniques, Implement...
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
August 2025 - Top 10 Read Articles in Network Security & Its Applications
Current and future trends in Computer Vision.pptx
A SYSTEMATIC REVIEW OF APPLICATIONS IN FRAUD DETECTION
Exploratory_Data_Analysis_Fundamentals.pdf
III.4.1.2_The_Space_Environment.p pdffdf
Module 8- Technological and Communication Skills.pptx
Ad

unit2_mental objects pruning and game theory .pptx

  • 2. Contents:  What is Alpha-Beta?  Why we use Alpha-Beta pruning?  What happened for reducing the time limit?  Advantages  What is Alpha and Beta in it?  What is Alpha? What is Beta?  Alpha Beta pruning (overview)
  • 3. What is Alpha Beta? Alpha Beta pruning is advanced part of minimax. It is anything but another calculation. We consider it an enhancement strategies for minimax calculation.
  • 4. Why we use Alpha Beta pruning? Because which time limit we required or have to solve a problem of minimax it will reduce the time.
  • 5. What happened for reducing the time limit?  It lessen the calculation time, enable us to look a lot quicker .  It cut off branches in the amusement tree which require not be looked (In diversion tree we go to more profound dimension for looking through an esteem)
  • 6. Advantages:  The principle advantage is that when we influence a diversion tree then it to can remove those branches that we have no need (So we have no compelling reason to go at that dimension to fathom it)  Because we have better move to go there.
  • 7. What isAlpha ? What is Beta? Alpha is the best value that maximizer currently can guarantee at that level or above. Beta is the best value that minimizer currently can guarantee at that level or above.
  • 8. -l_JN F;E TA f .'( u r --C ·1 -)
  • 10. 0
  • 12. AL > A R f TA f . f U N JNC ., - I ( •S!O / f >il() I ( 6 .,..G&J - 't <p )-. Q Q J _ 7 . (!)CD @cb ©"© ® (£J IC. ( -o0, lf ) '1 Q t<... ( - I t )>o G ) " " ) · Lt Lt) ,
  • 14. P > F T-A . ( U r-.iJNC · 1 -- - .,..,.. . '¥ ti<.., -=:r-- lf·· c- I - "< l ) • 0 < , ( - , ) , 6 ,.. ( 4 1 G) '1 C1 ( -c;01Lf ) .> L / «... ( t.i, 'l. ). • ,.....
  • 15. BF TA Jt:::1tJ:!: lf • DO I I ( · tt
  • 16. G "'L ® s AL = H -A · - '1 I(( Lt, ..s o ec. '- f ( oo, ) s (C 'S, .r 11f-), @ I( ...( . . ,I f1. ) #.=,. I( c .,, ( ) 1= ,? S -
  • 17. ®
  • 18. ®