SlideShare une entreprise Scribd logo
1  sur  23
Dendral Expert system
8/13/2013
1
Presented By:
Group No:-2
8/13/2013
2
OUTLINE
1. Meaning of Dendral
2. Inventors
3. History
4. Heuristic Dendral
5. Meta Dendral
6. Working
7. Plan-test-generate paradigm
8. Knowledge engineering
9. Disadvantages
10. Conclusion
8/13/2013
3
Dendral was an influential pioneer project inartificial intelligence
(AI) of the 1960s, and the computer software expert system that it
produced.
 The name Dendral is a portmanteaux of the term
“Dendritic Algorithm“
 Its primary aim was to help organic chemists in identifying
unknown organic molecules, by analyzing their mass spectra
using knowledge of chemistry.
Meaning of Dendral
8/13/2013
4
Inventors:
It was done at Stanford University by Edward
Feigenbaum, Bruce Buchanan, Joshua
Lederberg (a Nobel prize winner in genetics)
and Carl Djerassi. It began in 1965 and spans
approximately half the history of AI research.
8/13/2013
5
8/13/2013
6
It was written in Lisp (programming language), which was considered
language of AI.
(john McCarthy, 1958, MIT)
For this in laboratory, three generate and test 'method was used:-
 (possible hypothesis about molecular structure are generated and
tested by matching to actual data).
There was an early realization that experts use certain heuristics to
rule out certain options with possible structures.
It seemed like a good idea to encode that knowledge in a software
system
8/13/2013
7
The software program Dendral is considered the first
expert system because it automated the decision-making
process and problem-solving behavior of organic
chemists.
DENDRAL marked a major paradigm shift´ in AI:
a shift from general AI: a shift from genera
-- Purpose, knowledge purpose, knowledge
-- Sparse weak methods to domain sparse weak
methods
-- Specific, knowledge
-- Intensive techniques intensive techniques
History
8/13/2013
8
The aim of the project was to develop a computer
program to attain the level of computer program to
attain the level of performance of an experienced
human chemist.
The DENDRAL project originated from the
fundamental idea of Expert system
8/13/2013
9
Dendral
It consists of two sub-programs:
 Heuristic-Dendral
 Meta-Dendral
8/13/2013
10
 Heuristic Dendral
Heuristic Dendral is a program that uses mass
spectra with knowledge base of chemistry, to produce
a set of possible chemical structures that may be
responsible for producing the data.
. As the weight increases the molecules become
more complex, the number of possible compounds
increases drastically.
(Example: H2O)
8/13/2013
11
Meta-Dendral
Input - 1) The set of possible chemical structures
2) Corresponding mass spectra
Output- Explain correlation between proposed
structures & mass spectrum.
Thus,
Heuristic Dendral is a performance system
Meta Dendral is a learning system.
The program is based on two important features:
1) the plan-generate-test paradigm
2) knowledge engineering.
8/13/2013
12
WORKING
Heuristic Dendral
Meta Dendral
8/13/2013 13
PLAN – GENERATE - TEST PARADIGM
 It is a problem solving method used by both M.D. &
H.D.
 Aim-When there are large number of possibilities at
that it find a way to put constraints that rules out
large sets of candidate solution.
 “Hypothesis Formation Programe”
“Task specific knowledge”
8/13/2013
14
EXAMPLE-CONGEN
Available Information-
 C1: Empirical Formula- C12H14O.
 C2: Compounds Contains Keto group.
 C3: Three protons to the carbonyl group.
 C4: There are two vinyl group.
 C5: There is no conjugation.
 C6: There are no diallylic protons.
 C7: There are no additional multiple bonds.
 C8: There are no methyl group.
8/13/2013
15
PROCEDURE
 #DEFINE MOLFORM C12H14O.
 #DEFINE SUBSTRUCTURE Z
 #DEFINE SUBSTRUCTURE CH3.
 #DEFINE SUBSTRUCTURE V.
 #GENERATE
 #DRAW ATNAMED1
 #AMBEDED
 #DRAW ATNAMED1
 .
 .
 .
 #EXIT 8/13/2013
16
FINAL OUTPUT
8/13/2013
17
KNOWLEDGE ENGINEERING
 Aim- To attain a productive interaction between the
available knowledge base & problem solution
techniques.
 The first essential component of K.E. is “knowledge
base”.
 It is used to determine the set of possible chemical
structures that corresponds to the input data
 & form new general rules that helps it reduce the
number of candidate solutions.
8/13/2013
18
Derived systems:
Many systems were derived from Dendral, including:-
1. MYCIN
2. MOLGEN
3. MACSYMA
4. PROSPECTOR
5. XCON, and STEAMER
8/13/2013
19
It is a system that does not guarantee
about the solution, but reduces the number of
possible solution by discarding unlikely &
irrelevant solution.
Conclusion
8/13/2013
20
References:
Wikipedia
E-book
8/13/2013
21
Any
Queries
8/13/2013
22
8/13/2013
23

Contenu connexe

Tendances

Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing Sivagowry Shathesh
 
Facial Expression Recognition System using Deep Convolutional Neural Networks.
Facial Expression Recognition  System using Deep Convolutional Neural Networks.Facial Expression Recognition  System using Deep Convolutional Neural Networks.
Facial Expression Recognition System using Deep Convolutional Neural Networks.Sandeep Wakchaure
 
Classification using back propagation algorithm
Classification using back propagation algorithmClassification using back propagation algorithm
Classification using back propagation algorithmKIRAN R
 
Planning in Artificial Intelligence
Planning in Artificial IntelligencePlanning in Artificial Intelligence
Planning in Artificial Intelligencekitsenthilkumarcse
 
Emotion detection using cnn.pptx
Emotion detection using cnn.pptxEmotion detection using cnn.pptx
Emotion detection using cnn.pptxRADO7900
 
Agents and environments
Agents and environmentsAgents and environments
Agents and environmentsMegha Sharma
 
Image feature extraction
Image feature extractionImage feature extraction
Image feature extractionRushin Shah
 
Neural network
Neural networkNeural network
Neural networkSilicon
 
Applications of Digital image processing in Medical Field
Applications of Digital image processing in Medical FieldApplications of Digital image processing in Medical Field
Applications of Digital image processing in Medical FieldAshwani Srivastava
 
Disease prediction using machine learning
Disease prediction using machine learningDisease prediction using machine learning
Disease prediction using machine learningJinishaKG
 
Knowledge representation in AI
Knowledge representation in AIKnowledge representation in AI
Knowledge representation in AIVishal Singh
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streamsKrish_ver2
 
Brain Tumour Detection.pptx
Brain Tumour Detection.pptxBrain Tumour Detection.pptx
Brain Tumour Detection.pptxRevolverRaja2
 
Gender voice recognition.pptx
Gender voice recognition.pptxGender voice recognition.pptx
Gender voice recognition.pptxRohith572864
 

Tendances (20)

1.Introduction to deep learning
1.Introduction to deep learning1.Introduction to deep learning
1.Introduction to deep learning
 
Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing Unit I & II in Principles of Soft computing
Unit I & II in Principles of Soft computing
 
Facial Expression Recognition System using Deep Convolutional Neural Networks.
Facial Expression Recognition  System using Deep Convolutional Neural Networks.Facial Expression Recognition  System using Deep Convolutional Neural Networks.
Facial Expression Recognition System using Deep Convolutional Neural Networks.
 
Classification using back propagation algorithm
Classification using back propagation algorithmClassification using back propagation algorithm
Classification using back propagation algorithm
 
Planning in Artificial Intelligence
Planning in Artificial IntelligencePlanning in Artificial Intelligence
Planning in Artificial Intelligence
 
Emotion detection using cnn.pptx
Emotion detection using cnn.pptxEmotion detection using cnn.pptx
Emotion detection using cnn.pptx
 
Deep learning and Healthcare
Deep learning and HealthcareDeep learning and Healthcare
Deep learning and Healthcare
 
Frames
FramesFrames
Frames
 
Agents and environments
Agents and environmentsAgents and environments
Agents and environments
 
Image feature extraction
Image feature extractionImage feature extraction
Image feature extraction
 
Deep learning ppt
Deep learning pptDeep learning ppt
Deep learning ppt
 
Neural network
Neural networkNeural network
Neural network
 
Applications of Digital image processing in Medical Field
Applications of Digital image processing in Medical FieldApplications of Digital image processing in Medical Field
Applications of Digital image processing in Medical Field
 
Noise
NoiseNoise
Noise
 
Disease prediction using machine learning
Disease prediction using machine learningDisease prediction using machine learning
Disease prediction using machine learning
 
Knowledge representation in AI
Knowledge representation in AIKnowledge representation in AI
Knowledge representation in AI
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
 
Mycin
MycinMycin
Mycin
 
Brain Tumour Detection.pptx
Brain Tumour Detection.pptxBrain Tumour Detection.pptx
Brain Tumour Detection.pptx
 
Gender voice recognition.pptx
Gender voice recognition.pptxGender voice recognition.pptx
Gender voice recognition.pptx
 

En vedette

Introduction To Mycin Expert System
Introduction To Mycin Expert SystemIntroduction To Mycin Expert System
Introduction To Mycin Expert SystemNipun Jaswal
 
Expert systems from rk
Expert systems from rkExpert systems from rk
Expert systems from rkramaslide
 
Expert Systems
Expert SystemsExpert Systems
Expert Systemsosmancikk
 
Systeme expert mycin
Systeme expert  mycinSysteme expert  mycin
Systeme expert mycinaouatef2010
 
Lecture5 Expert Systems And Artificial Intelligence
Lecture5 Expert Systems And Artificial IntelligenceLecture5 Expert Systems And Artificial Intelligence
Lecture5 Expert Systems And Artificial IntelligenceKodok Ngorex
 
экспертные системы
экспертные системыэкспертные системы
экспертные системыizengrim
 
Expert Anesthesia Monitoring System Final Presentation
Expert Anesthesia Monitoring System Final PresentationExpert Anesthesia Monitoring System Final Presentation
Expert Anesthesia Monitoring System Final PresentationJoseph (Jay) McIsaac, MD, MS
 
Categorization of Semantic Roles for Dictionary Definitions
Categorization of Semantic Roles for Dictionary DefinitionsCategorization of Semantic Roles for Dictionary Definitions
Categorization of Semantic Roles for Dictionary DefinitionsAndre Freitas
 
Overview of Information Security & Privacy (August 10, 2016)
Overview of Information Security & Privacy (August 10, 2016)Overview of Information Security & Privacy (August 10, 2016)
Overview of Information Security & Privacy (August 10, 2016)Nawanan Theera-Ampornpunt
 

En vedette (20)

Mycin 016
Mycin  016Mycin  016
Mycin 016
 
Expert system mycin
Expert system   mycinExpert system   mycin
Expert system mycin
 
Introduction To Mycin Expert System
Introduction To Mycin Expert SystemIntroduction To Mycin Expert System
Introduction To Mycin Expert System
 
Expert systems from rk
Expert systems from rkExpert systems from rk
Expert systems from rk
 
Expert Systems
Expert SystemsExpert Systems
Expert Systems
 
Expert Systems
Expert SystemsExpert Systems
Expert Systems
 
6.expert systems
6.expert systems6.expert systems
6.expert systems
 
Topic 8 expert system
Topic 8 expert systemTopic 8 expert system
Topic 8 expert system
 
Systeme expert mycin
Systeme expert  mycinSysteme expert  mycin
Systeme expert mycin
 
Expert system (mis)
Expert system (mis)Expert system (mis)
Expert system (mis)
 
Lecture5 Expert Systems And Artificial Intelligence
Lecture5 Expert Systems And Artificial IntelligenceLecture5 Expert Systems And Artificial Intelligence
Lecture5 Expert Systems And Artificial Intelligence
 
Expert Systems
Expert SystemsExpert Systems
Expert Systems
 
экспертные системы
экспертные системыэкспертные системы
экспертные системы
 
Ai inductive bias and knowledge
Ai inductive bias and knowledgeAi inductive bias and knowledge
Ai inductive bias and knowledge
 
Expert Anesthesia Monitoring System Final Presentation
Expert Anesthesia Monitoring System Final PresentationExpert Anesthesia Monitoring System Final Presentation
Expert Anesthesia Monitoring System Final Presentation
 
Networks and Natural Language Processing
Networks and Natural Language ProcessingNetworks and Natural Language Processing
Networks and Natural Language Processing
 
Categorization of Semantic Roles for Dictionary Definitions
Categorization of Semantic Roles for Dictionary DefinitionsCategorization of Semantic Roles for Dictionary Definitions
Categorization of Semantic Roles for Dictionary Definitions
 
Expert systems
Expert systemsExpert systems
Expert systems
 
Web services
Web servicesWeb services
Web services
 
Overview of Information Security & Privacy (August 10, 2016)
Overview of Information Security & Privacy (August 10, 2016)Overview of Information Security & Privacy (August 10, 2016)
Overview of Information Security & Privacy (August 10, 2016)
 

Similaire à Presentation1

(2018.9) 分子のグラフ表現と機械学習
(2018.9) 分子のグラフ表現と機械学習(2018.9) 分子のグラフ表現と機械学習
(2018.9) 分子のグラフ表現と機械学習Ichigaku Takigawa
 
NanoAgents: Molecular Docking Using Multi-Agent Technology
NanoAgents: Molecular Docking Using Multi-Agent TechnologyNanoAgents: Molecular Docking Using Multi-Agent Technology
NanoAgents: Molecular Docking Using Multi-Agent TechnologyCSCJournals
 
Citizen science project list (Europe & worldwide) v1
Citizen science project list (Europe & worldwide) v1Citizen science project list (Europe & worldwide) v1
Citizen science project list (Europe & worldwide) v1Egle Marija Ramanauskaite
 
2014 11-13-sbsm032-reproducible research
2014 11-13-sbsm032-reproducible research2014 11-13-sbsm032-reproducible research
2014 11-13-sbsm032-reproducible researchYannick Wurm
 
Possibilities for integrating model-related data in computational biology (DI...
Possibilities for integrating model-related data in computational biology (DI...Possibilities for integrating model-related data in computational biology (DI...
Possibilities for integrating model-related data in computational biology (DI...University Medicine Greifswald
 
Chemical Semantics Sopron Talk
Chemical Semantics Sopron TalkChemical Semantics Sopron Talk
Chemical Semantics Sopron Talksopekmir
 
Chemical Semantics at Sopron CC Conference
Chemical Semantics at Sopron CC Conference Chemical Semantics at Sopron CC Conference
Chemical Semantics at Sopron CC Conference sopekmir
 
Data compression with Python: application of different algorithms with the us...
Data compression with Python: application of different algorithms with the us...Data compression with Python: application of different algorithms with the us...
Data compression with Python: application of different algorithms with the us...Alex Camargo
 
Reproducible research in molecular biophysics and structural biology
Reproducible research in molecular biophysics and structural biologyReproducible research in molecular biophysics and structural biology
Reproducible research in molecular biophysics and structural biologykhinsen
 
Recent Advancements in DNA Computing
Recent Advancements in DNA ComputingRecent Advancements in DNA Computing
Recent Advancements in DNA ComputingMangaiK4
 
1_Ocean Modellling Introduction.pdf
1_Ocean Modellling Introduction.pdf1_Ocean Modellling Introduction.pdf
1_Ocean Modellling Introduction.pdfMDHASIBULHASANHRIDOY
 
CSCW in Times of Social Media
CSCW in Times of Social MediaCSCW in Times of Social Media
CSCW in Times of Social MediaHendrik Drachsler
 
The interplay between data-driven and theory-driven methods for chemical scie...
The interplay between data-driven and theory-driven methods for chemical scie...The interplay between data-driven and theory-driven methods for chemical scie...
The interplay between data-driven and theory-driven methods for chemical scie...Ichigaku Takigawa
 
Chemoinformatic File Format.pptx
Chemoinformatic File Format.pptxChemoinformatic File Format.pptx
Chemoinformatic File Format.pptxwadhava gurumeet
 
Software Sustainability: Better Software Better Science
Software Sustainability: Better Software Better ScienceSoftware Sustainability: Better Software Better Science
Software Sustainability: Better Software Better ScienceCarole Goble
 
V5_I2_2016_Paper11.docx
V5_I2_2016_Paper11.docxV5_I2_2016_Paper11.docx
V5_I2_2016_Paper11.docxIIRindia
 

Similaire à Presentation1 (20)

(2018.9) 分子のグラフ表現と機械学習
(2018.9) 分子のグラフ表現と機械学習(2018.9) 分子のグラフ表現と機械学習
(2018.9) 分子のグラフ表現と機械学習
 
NanoAgents: Molecular Docking Using Multi-Agent Technology
NanoAgents: Molecular Docking Using Multi-Agent TechnologyNanoAgents: Molecular Docking Using Multi-Agent Technology
NanoAgents: Molecular Docking Using Multi-Agent Technology
 
Citizen science project list (Europe & worldwide) v1
Citizen science project list (Europe & worldwide) v1Citizen science project list (Europe & worldwide) v1
Citizen science project list (Europe & worldwide) v1
 
2014 11-13-sbsm032-reproducible research
2014 11-13-sbsm032-reproducible research2014 11-13-sbsm032-reproducible research
2014 11-13-sbsm032-reproducible research
 
io-Chem-BD, una solució per gestionar el Big Data en Química Computacional
io-Chem-BD, una solució per gestionar el Big Data en Química Computacionalio-Chem-BD, una solució per gestionar el Big Data en Química Computacional
io-Chem-BD, una solució per gestionar el Big Data en Química Computacional
 
Possibilities for integrating model-related data in computational biology (DI...
Possibilities for integrating model-related data in computational biology (DI...Possibilities for integrating model-related data in computational biology (DI...
Possibilities for integrating model-related data in computational biology (DI...
 
Chemical Semantics Sopron Talk
Chemical Semantics Sopron TalkChemical Semantics Sopron Talk
Chemical Semantics Sopron Talk
 
Chemical Semantics at Sopron CC Conference
Chemical Semantics at Sopron CC Conference Chemical Semantics at Sopron CC Conference
Chemical Semantics at Sopron CC Conference
 
Data compression with Python: application of different algorithms with the us...
Data compression with Python: application of different algorithms with the us...Data compression with Python: application of different algorithms with the us...
Data compression with Python: application of different algorithms with the us...
 
Reproducible research in molecular biophysics and structural biology
Reproducible research in molecular biophysics and structural biologyReproducible research in molecular biophysics and structural biology
Reproducible research in molecular biophysics and structural biology
 
Recent Advancements in DNA Computing
Recent Advancements in DNA ComputingRecent Advancements in DNA Computing
Recent Advancements in DNA Computing
 
1_Ocean Modellling Introduction.pdf
1_Ocean Modellling Introduction.pdf1_Ocean Modellling Introduction.pdf
1_Ocean Modellling Introduction.pdf
 
Ag04602228232
Ag04602228232Ag04602228232
Ag04602228232
 
Knowledge Graphs for Scholarly Communication
Knowledge Graphs for Scholarly CommunicationKnowledge Graphs for Scholarly Communication
Knowledge Graphs for Scholarly Communication
 
CSCW in Times of Social Media
CSCW in Times of Social MediaCSCW in Times of Social Media
CSCW in Times of Social Media
 
Blind trials of computer-assisted structure elucidation software
Blind trials of computer-assisted structure elucidation softwareBlind trials of computer-assisted structure elucidation software
Blind trials of computer-assisted structure elucidation software
 
The interplay between data-driven and theory-driven methods for chemical scie...
The interplay between data-driven and theory-driven methods for chemical scie...The interplay between data-driven and theory-driven methods for chemical scie...
The interplay between data-driven and theory-driven methods for chemical scie...
 
Chemoinformatic File Format.pptx
Chemoinformatic File Format.pptxChemoinformatic File Format.pptx
Chemoinformatic File Format.pptx
 
Software Sustainability: Better Software Better Science
Software Sustainability: Better Software Better ScienceSoftware Sustainability: Better Software Better Science
Software Sustainability: Better Software Better Science
 
V5_I2_2016_Paper11.docx
V5_I2_2016_Paper11.docxV5_I2_2016_Paper11.docx
V5_I2_2016_Paper11.docx
 

Dernier

Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 

Dernier (20)

Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 

Presentation1

  • 3. OUTLINE 1. Meaning of Dendral 2. Inventors 3. History 4. Heuristic Dendral 5. Meta Dendral 6. Working 7. Plan-test-generate paradigm 8. Knowledge engineering 9. Disadvantages 10. Conclusion 8/13/2013 3
  • 4. Dendral was an influential pioneer project inartificial intelligence (AI) of the 1960s, and the computer software expert system that it produced.  The name Dendral is a portmanteaux of the term “Dendritic Algorithm“  Its primary aim was to help organic chemists in identifying unknown organic molecules, by analyzing their mass spectra using knowledge of chemistry. Meaning of Dendral 8/13/2013 4
  • 5. Inventors: It was done at Stanford University by Edward Feigenbaum, Bruce Buchanan, Joshua Lederberg (a Nobel prize winner in genetics) and Carl Djerassi. It began in 1965 and spans approximately half the history of AI research. 8/13/2013 5
  • 7. It was written in Lisp (programming language), which was considered language of AI. (john McCarthy, 1958, MIT) For this in laboratory, three generate and test 'method was used:-  (possible hypothesis about molecular structure are generated and tested by matching to actual data). There was an early realization that experts use certain heuristics to rule out certain options with possible structures. It seemed like a good idea to encode that knowledge in a software system 8/13/2013 7
  • 8. The software program Dendral is considered the first expert system because it automated the decision-making process and problem-solving behavior of organic chemists. DENDRAL marked a major paradigm shift´ in AI: a shift from general AI: a shift from genera -- Purpose, knowledge purpose, knowledge -- Sparse weak methods to domain sparse weak methods -- Specific, knowledge -- Intensive techniques intensive techniques History 8/13/2013 8
  • 9. The aim of the project was to develop a computer program to attain the level of computer program to attain the level of performance of an experienced human chemist. The DENDRAL project originated from the fundamental idea of Expert system 8/13/2013 9
  • 10. Dendral It consists of two sub-programs:  Heuristic-Dendral  Meta-Dendral 8/13/2013 10
  • 11.  Heuristic Dendral Heuristic Dendral is a program that uses mass spectra with knowledge base of chemistry, to produce a set of possible chemical structures that may be responsible for producing the data. . As the weight increases the molecules become more complex, the number of possible compounds increases drastically. (Example: H2O) 8/13/2013 11
  • 12. Meta-Dendral Input - 1) The set of possible chemical structures 2) Corresponding mass spectra Output- Explain correlation between proposed structures & mass spectrum. Thus, Heuristic Dendral is a performance system Meta Dendral is a learning system. The program is based on two important features: 1) the plan-generate-test paradigm 2) knowledge engineering. 8/13/2013 12
  • 14. PLAN – GENERATE - TEST PARADIGM  It is a problem solving method used by both M.D. & H.D.  Aim-When there are large number of possibilities at that it find a way to put constraints that rules out large sets of candidate solution.  “Hypothesis Formation Programe” “Task specific knowledge” 8/13/2013 14
  • 15. EXAMPLE-CONGEN Available Information-  C1: Empirical Formula- C12H14O.  C2: Compounds Contains Keto group.  C3: Three protons to the carbonyl group.  C4: There are two vinyl group.  C5: There is no conjugation.  C6: There are no diallylic protons.  C7: There are no additional multiple bonds.  C8: There are no methyl group. 8/13/2013 15
  • 16. PROCEDURE  #DEFINE MOLFORM C12H14O.  #DEFINE SUBSTRUCTURE Z  #DEFINE SUBSTRUCTURE CH3.  #DEFINE SUBSTRUCTURE V.  #GENERATE  #DRAW ATNAMED1  #AMBEDED  #DRAW ATNAMED1  .  .  .  #EXIT 8/13/2013 16
  • 18. KNOWLEDGE ENGINEERING  Aim- To attain a productive interaction between the available knowledge base & problem solution techniques.  The first essential component of K.E. is “knowledge base”.  It is used to determine the set of possible chemical structures that corresponds to the input data  & form new general rules that helps it reduce the number of candidate solutions. 8/13/2013 18
  • 19. Derived systems: Many systems were derived from Dendral, including:- 1. MYCIN 2. MOLGEN 3. MACSYMA 4. PROSPECTOR 5. XCON, and STEAMER 8/13/2013 19
  • 20. It is a system that does not guarantee about the solution, but reduces the number of possible solution by discarding unlikely & irrelevant solution. Conclusion 8/13/2013 20