SlideShare a Scribd company logo
1 of 15
AI3391 ARTIFICAL INTELLIGENCE
(II YEAR (III Sem))
Department of Artificial Intelligence and Data
Science
Session 22
by
Asst.Prof.M.Gokilavani
NIET
1/24/2024 Department of AI & DS 1
TEXTBOOK:
• Artificial Intelligence A modern Approach, Third Edition,
Stuart Russell and Peter Norvig, Pearson Education.
REFERENCES:
• Artificial Intelligence, 3rd Edn, E. Rich and K.Knight
(TMH).
• Artificial Intelligence, 3rd Edn, Patrick Henny Winston,
Pearson Education.
• Artificial Intelligence, Shivani Goel, Pearson Education.
• Artificial Intelligence and Expert Systems- Patterson,
Pearson Education.
1/24/2024 Department of AI & DS 2
Topics covered in session 22
1/24/2024 Department of AI & DS 3
• Game theory
• optimal decision in games
• alpha beta Search
• Monte Carlo tree search
• stochastic games
• partially observed games
• Constraint satisfaction problem
• Constraint propagation
• Backtracking search for CSP
• Local search for CSP
• structure of CSP.
Cryptarithmetic Problem
• Cryptarithmetic Problem is a type of constraint
satisfaction problem where the game is about digits and
its unique replacement either with alphabets or other
symbols.
• In cryptarithmetic problem, the digits (0-9) get
substituted by some possible alphabets or symbols.
• The task in cryptarithmetic problem is to substitute
each digit with an alphabet to get the result
arithmetically correct.
• We can perform all the arithmetic operations on a given
cryptarithmetic problem.
1/24/2024 4
Department of AI & DS
Constraints for cryptarithmetic
problem
• Unique digit to be replaced with a unique alphabet
(no repeated digits).
• The result should satisfy the predefined arithmetic
rules, i.e., 2+2 =4
• Digits should be from 0-9 only.
• In addition operation only one carry forward.
• The problem can be solved from both sides,
i.e., lefthand side (L.H.S), or right-hand side
(R.H.S)
1/24/2024 5
Department of AI & DS
Example 1
• Given a cryptarithmetic problem, i.e., S E N D
+ M O R E = M O N E Y.
1/24/2024 6
Department of AI & DS
Step 1
1/24/2024 7
Department of AI & DS
• Starting from the left hand side (L.H.S) , the terms
are S and M. Assign a digit which could give a
satisfactory result. Let’s assign S->9 and M->1.
Hence, we get a satisfactory result by adding up the
terms and got an assignment for O as O->0 as well.
Step 2
• Now, move ahead to the next terms E and O to
get N as its output.
1/24/2024 8
Department of AI & DS
Adding E and O, which means 5+0=0, which is not
possible because we cannot assign the same digit to
two letters.
• Add carry 1 to the value E to change the
value of alphabet.
1/24/2024 9
Department of AI & DS
Step 3
1/24/2024 10
Department of AI & DS
• Further, adding the next two terms N and R we get,
But, we have already assigned E->5. Not possible with 5 to E
Again, after solving the whole problem, we will get a
carryover on this term, so our answer will be satisfied.
Step 4
• Again, on adding the last two terms, i.e., the
rightmost terms D and E, we get Y as its result.
1/24/2024 11
Department of AI & DS
• Keeping all the constraints in mind, the final resultant
is as follows:
1/24/2024 12
Department of AI & DS
Alphabets Values
S 9
E 5
N 6
D 7
M 1
O 0
R 8
Y 2
Example 2
1/24/2024 13
Department of AI & DS
Example 3
1/24/2024 14
Department of AI & DS
Topics to be covered in next session 23
• Backtracking CSP’s
Thank you!!!
1/24/2024 Department of AI & DS 15

More Related Content

Similar to AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx

Complete vedic maths
Complete vedic mathsComplete vedic maths
Complete vedic mathsRoo Dacayan
 
Probing the Efficacy of the Algebra Project: A Summary of Findings
Probing the Efficacy of the Algebra Project: A Summary of FindingsProbing the Efficacy of the Algebra Project: A Summary of Findings
Probing the Efficacy of the Algebra Project: A Summary of FindingsEDD SFSU
 
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdfuroosavayani
 
AI_Session 8 A searching algorithm .pptx
AI_Session 8 A searching algorithm .pptxAI_Session 8 A searching algorithm .pptx
AI_Session 8 A searching algorithm .pptxAsst.prof M.Gokilavani
 
Dot Plots and Box Plots.pptx
Dot Plots and Box Plots.pptxDot Plots and Box Plots.pptx
Dot Plots and Box Plots.pptxVaishnaviElumalai
 
AI3391 Artificial Intelligence Session 21 CSP.pptx
AI3391 Artificial Intelligence Session 21 CSP.pptxAI3391 Artificial Intelligence Session 21 CSP.pptx
AI3391 Artificial Intelligence Session 21 CSP.pptxAsst.prof M.Gokilavani
 
Discrete-Chapter 06 Counting
Discrete-Chapter 06 CountingDiscrete-Chapter 06 Counting
Discrete-Chapter 06 CountingWongyos Keardsri
 
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
AI3391 Artificial Intelligence Session 25 Horn clause.pptxAI3391 Artificial Intelligence Session 25 Horn clause.pptx
AI3391 Artificial Intelligence Session 25 Horn clause.pptxAsst.prof M.Gokilavani
 
Setting the Stage for Algebra Readiness
Setting the Stage for Algebra ReadinessSetting the Stage for Algebra Readiness
Setting the Stage for Algebra ReadinessSmart Ed
 

Similar to AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx (10)

Complete vedic maths
Complete vedic mathsComplete vedic maths
Complete vedic maths
 
Probing the Efficacy of the Algebra Project: A Summary of Findings
Probing the Efficacy of the Algebra Project: A Summary of FindingsProbing the Efficacy of the Algebra Project: A Summary of Findings
Probing the Efficacy of the Algebra Project: A Summary of Findings
 
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
---Orientation-Session---Business-Statistics-22092023-044926pm (2).pdf
 
AI_Session 8 A searching algorithm .pptx
AI_Session 8 A searching algorithm .pptxAI_Session 8 A searching algorithm .pptx
AI_Session 8 A searching algorithm .pptx
 
#Mathsconf2014
#Mathsconf2014#Mathsconf2014
#Mathsconf2014
 
Dot Plots and Box Plots.pptx
Dot Plots and Box Plots.pptxDot Plots and Box Plots.pptx
Dot Plots and Box Plots.pptx
 
AI3391 Artificial Intelligence Session 21 CSP.pptx
AI3391 Artificial Intelligence Session 21 CSP.pptxAI3391 Artificial Intelligence Session 21 CSP.pptx
AI3391 Artificial Intelligence Session 21 CSP.pptx
 
Discrete-Chapter 06 Counting
Discrete-Chapter 06 CountingDiscrete-Chapter 06 Counting
Discrete-Chapter 06 Counting
 
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
AI3391 Artificial Intelligence Session 25 Horn clause.pptxAI3391 Artificial Intelligence Session 25 Horn clause.pptx
AI3391 Artificial Intelligence Session 25 Horn clause.pptx
 
Setting the Stage for Algebra Readiness
Setting the Stage for Algebra ReadinessSetting the Stage for Algebra Readiness
Setting the Stage for Algebra Readiness
 

More from Asst.prof M.Gokilavani

CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordCCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordAsst.prof M.Gokilavani
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfAsst.prof M.Gokilavani
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfAsst.prof M.Gokilavani
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfAsst.prof M.Gokilavani
 
IT8073_Information Security_UNIT I _.pdf
IT8073_Information Security_UNIT I _.pdfIT8073_Information Security_UNIT I _.pdf
IT8073_Information Security_UNIT I _.pdfAsst.prof M.Gokilavani
 
IT8073 _Information Security _UNIT I Full notes
IT8073 _Information Security _UNIT I Full notesIT8073 _Information Security _UNIT I Full notes
IT8073 _Information Security _UNIT I Full notesAsst.prof M.Gokilavani
 
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdfGE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdfAsst.prof M.Gokilavani
 
GE3151 PSPP UNIT III QUESTION BANK.docx.pdf
GE3151 PSPP UNIT III QUESTION BANK.docx.pdfGE3151 PSPP UNIT III QUESTION BANK.docx.pdf
GE3151 PSPP UNIT III QUESTION BANK.docx.pdfAsst.prof M.Gokilavani
 
GE3151 PSPP All unit question bank.pdf
GE3151 PSPP All unit question bank.pdfGE3151 PSPP All unit question bank.pdf
GE3151 PSPP All unit question bank.pdfAsst.prof M.Gokilavani
 
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdfAI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdfAsst.prof M.Gokilavani
 
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdfAI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdfAsst.prof M.Gokilavani
 
AI3391 Artificial intelligence Session 28 Resolution.pptx
AI3391 Artificial intelligence Session 28 Resolution.pptxAI3391 Artificial intelligence Session 28 Resolution.pptx
AI3391 Artificial intelligence Session 28 Resolution.pptxAsst.prof M.Gokilavani
 
AI3391 Artificial intelligence session 27 inference and unification.pptx
AI3391 Artificial intelligence session 27 inference and unification.pptxAI3391 Artificial intelligence session 27 inference and unification.pptx
AI3391 Artificial intelligence session 27 inference and unification.pptxAsst.prof M.Gokilavani
 
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
AI3391 Artificial Intelligence session 24 knowledge representation.pptxAI3391 Artificial Intelligence session 24 knowledge representation.pptx
AI3391 Artificial Intelligence session 24 knowledge representation.pptxAsst.prof M.Gokilavani
 

More from Asst.prof M.Gokilavani (20)

CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete RecordCCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record
 
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdfCCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
CCS355 Neural Network & Deep Learning UNIT III notes and Question bank .pdf
 
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdfCCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
CCS355 Neural Network & Deep Learning Unit II Notes with Question bank .pdf
 
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdfCCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
CCS355 Neural Networks & Deep Learning Unit 1 PDF notes with Question bank .pdf
 
IT8073_Information Security_UNIT I _.pdf
IT8073_Information Security_UNIT I _.pdfIT8073_Information Security_UNIT I _.pdf
IT8073_Information Security_UNIT I _.pdf
 
IT8073 _Information Security _UNIT I Full notes
IT8073 _Information Security _UNIT I Full notesIT8073 _Information Security _UNIT I Full notes
IT8073 _Information Security _UNIT I Full notes
 
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdfGE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
GE3151 PSPP UNIT IV QUESTION BANK.docx.pdf
 
GE3151 PSPP UNIT III QUESTION BANK.docx.pdf
GE3151 PSPP UNIT III QUESTION BANK.docx.pdfGE3151 PSPP UNIT III QUESTION BANK.docx.pdf
GE3151 PSPP UNIT III QUESTION BANK.docx.pdf
 
GE3151 UNIT II Study material .pdf
GE3151 UNIT II Study material .pdfGE3151 UNIT II Study material .pdf
GE3151 UNIT II Study material .pdf
 
GE3151 PSPP All unit question bank.pdf
GE3151 PSPP All unit question bank.pdfGE3151 PSPP All unit question bank.pdf
GE3151 PSPP All unit question bank.pdf
 
GE3151_PSPP_All unit _Notes
GE3151_PSPP_All unit _NotesGE3151_PSPP_All unit _Notes
GE3151_PSPP_All unit _Notes
 
GE3151_PSPP_UNIT_5_Notes
GE3151_PSPP_UNIT_5_NotesGE3151_PSPP_UNIT_5_Notes
GE3151_PSPP_UNIT_5_Notes
 
GE3151_PSPP_UNIT_4_Notes
GE3151_PSPP_UNIT_4_NotesGE3151_PSPP_UNIT_4_Notes
GE3151_PSPP_UNIT_4_Notes
 
GE3151_PSPP_UNIT_3_Notes
GE3151_PSPP_UNIT_3_NotesGE3151_PSPP_UNIT_3_Notes
GE3151_PSPP_UNIT_3_Notes
 
GE3151_PSPP_UNIT_2_Notes
GE3151_PSPP_UNIT_2_NotesGE3151_PSPP_UNIT_2_Notes
GE3151_PSPP_UNIT_2_Notes
 
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdfAI3391 Artificial intelligence Unit IV Notes _ merged.pdf
AI3391 Artificial intelligence Unit IV Notes _ merged.pdf
 
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdfAI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
AI3391 Artificial intelligence Session 29 Forward and backward chaining.pdf
 
AI3391 Artificial intelligence Session 28 Resolution.pptx
AI3391 Artificial intelligence Session 28 Resolution.pptxAI3391 Artificial intelligence Session 28 Resolution.pptx
AI3391 Artificial intelligence Session 28 Resolution.pptx
 
AI3391 Artificial intelligence session 27 inference and unification.pptx
AI3391 Artificial intelligence session 27 inference and unification.pptxAI3391 Artificial intelligence session 27 inference and unification.pptx
AI3391 Artificial intelligence session 27 inference and unification.pptx
 
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
AI3391 Artificial Intelligence session 24 knowledge representation.pptxAI3391 Artificial Intelligence session 24 knowledge representation.pptx
AI3391 Artificial Intelligence session 24 knowledge representation.pptx
 

Recently uploaded

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXssuser89054b
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...HenryBriggs2
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxSCMS School of Architecture
 
Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...ppkakm
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...josephjonse
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptxJIT KUMAR GUPTA
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startQuintin Balsdon
 
Digital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxDigital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxpritamlangde
 
Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Ramkumar k
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"mphochane1998
 
Employee leave management system project.
Employee leave management system project.Employee leave management system project.
Employee leave management system project.Kamal Acharya
 
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxHOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxSCMS School of Architecture
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelDrAjayKumarYadav4
 
Introduction to Geographic Information Systems
Introduction to Geographic Information SystemsIntroduction to Geographic Information Systems
Introduction to Geographic Information SystemsAnge Felix NSANZIYERA
 
Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257subhasishdas79
 
PE 459 LECTURE 2- natural gas basic concepts and properties
PE 459 LECTURE 2- natural gas basic concepts and propertiesPE 459 LECTURE 2- natural gas basic concepts and properties
PE 459 LECTURE 2- natural gas basic concepts and propertiessarkmank1
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network DevicesChandrakantDivate1
 
Augmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxAugmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxMustafa Ahmed
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdfAldoGarca30
 

Recently uploaded (20)

XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
scipt v1.pptxcxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...
 
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptxS1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
S1S2 B.Arch MGU - HOA1&2 Module 3 -Temple Architecture of Kerala.pptx
 
Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...Basic Electronics for diploma students as per technical education Kerala Syll...
Basic Electronics for diploma students as per technical education Kerala Syll...
 
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...8th International Conference on Soft Computing, Mathematics and Control (SMC ...
8th International Conference on Soft Computing, Mathematics and Control (SMC ...
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the startDesign For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
 
Digital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptxDigital Communication Essentials: DPCM, DM, and ADM .pptx
Digital Communication Essentials: DPCM, DM, and ADM .pptx
 
Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)Theory of Time 2024 (Universal Theory for Everything)
Theory of Time 2024 (Universal Theory for Everything)
 
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments""Lesotho Leaps Forward: A Chronicle of Transformative Developments"
"Lesotho Leaps Forward: A Chronicle of Transformative Developments"
 
Employee leave management system project.
Employee leave management system project.Employee leave management system project.
Employee leave management system project.
 
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptxHOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
 
Path loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata ModelPath loss model, OKUMURA Model, Hata Model
Path loss model, OKUMURA Model, Hata Model
 
Introduction to Geographic Information Systems
Introduction to Geographic Information SystemsIntroduction to Geographic Information Systems
Introduction to Geographic Information Systems
 
Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257Memory Interfacing of 8086 with DMA 8257
Memory Interfacing of 8086 with DMA 8257
 
PE 459 LECTURE 2- natural gas basic concepts and properties
PE 459 LECTURE 2- natural gas basic concepts and propertiesPE 459 LECTURE 2- natural gas basic concepts and properties
PE 459 LECTURE 2- natural gas basic concepts and properties
 
Computer Networks Basics of Network Devices
Computer Networks  Basics of Network DevicesComputer Networks  Basics of Network Devices
Computer Networks Basics of Network Devices
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
 
Augmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptxAugmented Reality (AR) with Augin Software.pptx
Augmented Reality (AR) with Augin Software.pptx
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
 

AI3391 Artificial intelligence Session 22 Cryptarithmetic problem.pptx

  • 1. AI3391 ARTIFICAL INTELLIGENCE (II YEAR (III Sem)) Department of Artificial Intelligence and Data Science Session 22 by Asst.Prof.M.Gokilavani NIET 1/24/2024 Department of AI & DS 1
  • 2. TEXTBOOK: • Artificial Intelligence A modern Approach, Third Edition, Stuart Russell and Peter Norvig, Pearson Education. REFERENCES: • Artificial Intelligence, 3rd Edn, E. Rich and K.Knight (TMH). • Artificial Intelligence, 3rd Edn, Patrick Henny Winston, Pearson Education. • Artificial Intelligence, Shivani Goel, Pearson Education. • Artificial Intelligence and Expert Systems- Patterson, Pearson Education. 1/24/2024 Department of AI & DS 2
  • 3. Topics covered in session 22 1/24/2024 Department of AI & DS 3 • Game theory • optimal decision in games • alpha beta Search • Monte Carlo tree search • stochastic games • partially observed games • Constraint satisfaction problem • Constraint propagation • Backtracking search for CSP • Local search for CSP • structure of CSP.
  • 4. Cryptarithmetic Problem • Cryptarithmetic Problem is a type of constraint satisfaction problem where the game is about digits and its unique replacement either with alphabets or other symbols. • In cryptarithmetic problem, the digits (0-9) get substituted by some possible alphabets or symbols. • The task in cryptarithmetic problem is to substitute each digit with an alphabet to get the result arithmetically correct. • We can perform all the arithmetic operations on a given cryptarithmetic problem. 1/24/2024 4 Department of AI & DS
  • 5. Constraints for cryptarithmetic problem • Unique digit to be replaced with a unique alphabet (no repeated digits). • The result should satisfy the predefined arithmetic rules, i.e., 2+2 =4 • Digits should be from 0-9 only. • In addition operation only one carry forward. • The problem can be solved from both sides, i.e., lefthand side (L.H.S), or right-hand side (R.H.S) 1/24/2024 5 Department of AI & DS
  • 6. Example 1 • Given a cryptarithmetic problem, i.e., S E N D + M O R E = M O N E Y. 1/24/2024 6 Department of AI & DS
  • 7. Step 1 1/24/2024 7 Department of AI & DS • Starting from the left hand side (L.H.S) , the terms are S and M. Assign a digit which could give a satisfactory result. Let’s assign S->9 and M->1. Hence, we get a satisfactory result by adding up the terms and got an assignment for O as O->0 as well.
  • 8. Step 2 • Now, move ahead to the next terms E and O to get N as its output. 1/24/2024 8 Department of AI & DS Adding E and O, which means 5+0=0, which is not possible because we cannot assign the same digit to two letters.
  • 9. • Add carry 1 to the value E to change the value of alphabet. 1/24/2024 9 Department of AI & DS
  • 10. Step 3 1/24/2024 10 Department of AI & DS • Further, adding the next two terms N and R we get, But, we have already assigned E->5. Not possible with 5 to E Again, after solving the whole problem, we will get a carryover on this term, so our answer will be satisfied.
  • 11. Step 4 • Again, on adding the last two terms, i.e., the rightmost terms D and E, we get Y as its result. 1/24/2024 11 Department of AI & DS
  • 12. • Keeping all the constraints in mind, the final resultant is as follows: 1/24/2024 12 Department of AI & DS Alphabets Values S 9 E 5 N 6 D 7 M 1 O 0 R 8 Y 2
  • 15. Topics to be covered in next session 23 • Backtracking CSP’s Thank you!!! 1/24/2024 Department of AI & DS 15