SlideShare a Scribd company logo
[1]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
INTELLIGENT AGENT ARCHITECTURE
FOR KNOWLEDGE SHARING
Under the Guidance of
Mr. Indraneel Mukhopadhyay
By
DEEPAK NAYAK IT200117213
[2]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
INTRODUCTION
This technology supports structured, on-line learning activities,
and provides facilities for assessment and collaboration.
The main aim is to assist an intelligent coaching agent in
mediating situations in which new knowledge is not effectively
assimilated by a distributed group of humans.
The key roles of the new analysis engine include
 Recognizing when students are having trouble learning
the new concepts they share with each other
 Determining why they are having trouble.
[3]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
THE PROBLEMS
Coding Guidelines
Good Design
Program Correctness
Implied knowledge
[4]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
PROPOSED SOLUTION
System Requirements
System Design
Agents
Agent-Architecture
[5]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
USE OF CODE REVIEW SYSTEM
Implementation
Code
Review
System
Peer
Review
Solutions Compilable
Code
Peer
Reviewed
Code
Review
Recommendations
Code ready
for peer
review
[6]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
PROPOSED AGENT ARCHITECTURE
User
User
Interface Agent
Sensor
Agents
Network
Facilitator
Agent
Learning
Agents
Solution
Agents
Detection
Agents Worker
Agents
[7]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
ARCHITECTURE FOR SUPPORTING KNOWLEDGE
SHARING
[8]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
THE ANALYST TEAM
Dialog Segmenter
Responsible for determining when students
begin sharing their knowledge on a particular
topic
Knowledge Sharing Analyzer
It analyzes the episode to determine its
effectiveness
Instructional Strategist Agent
It plans how students may be effective or
ineffective at sharing knowledge
[9]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
ANALYSIS OF KNOWLEDGE SHARING
Quantitative Analysis
[10]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
Qualitative Analysis
[11]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
CONCLUSION
The effectiveness of knowledge sharing and
construction depends upon:
The participants’ evolving knowledge bases
The group’s ability to share and assimilate
the bits of knowledge necessary to construct
new knowledge
[12]
INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING
DEEPAK NAYAK
NationalInstituteofScience&Technology
THANK YOU

More Related Content

Similar to Intelgent artecture

Kenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptx
Kenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptxKenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptx
Kenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptx
KennethYuan2
 
Agile Knowledge Sharing
Agile Knowledge SharingAgile Knowledge Sharing
Agile Knowledge Sharing
CSCJournals
 
ICT in Elementary Education
ICT in Elementary EducationICT in Elementary Education
ICT in Elementary Education
Rex Galos
 
Technology Use Vs
Technology Use VsTechnology Use Vs
Technology Use Vs
rpeine
 
Eduknowledge
EduknowledgeEduknowledge
Eduknowledge
Stefan Kovacs
 
Developer mengajar
Developer mengajarDeveloper mengajar
Developer mengajar
Google
 
EDCompass June 2008 - SMART at NECC
EDCompass June 2008 - SMART at NECCEDCompass June 2008 - SMART at NECC
EDCompass June 2008 - SMART at NECC
SMART Technologies
 
Practical Knowledge Management – Leveraging People, Process & Technology to E...
Practical Knowledge Management – Leveraging People, Process & Technology to E...Practical Knowledge Management – Leveraging People, Process & Technology to E...
Practical Knowledge Management – Leveraging People, Process & Technology to E...
Enterprise Knowledge
 
Gta consulting profile
Gta consulting profileGta consulting profile
Gta consulting profile
ogbona dan
 
"About InSTEDD" Poster
"About InSTEDD" Poster"About InSTEDD" Poster
"About InSTEDD" Poster
InSTEDD
 
MANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docx
MANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docxMANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docx
MANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docx
infantsuk
 
Project Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful EntrepreneureshipProject Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful Entrepreneureship
DanPronto Michael Ngbede
 
Project Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful EntrepreneureshipProject Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful Entrepreneureship
DanPronto Michael Ngbede
 
Teaming Up To Crack
Teaming Up To CrackTeaming Up To Crack
Teaming Up To Crack
aseemsidhu
 
BEN Cloud Bath workshop 26 May Intro
BEN Cloud Bath workshop 26 May IntroBEN Cloud Bath workshop 26 May Intro
BEN Cloud Bath workshop 26 May Intro
Science City Bristol
 
Intel tools
Intel toolsIntel tools
Intel tools
mwinfield1
 
Y3 ICT Lecture 6 Planning
Y3 ICT Lecture 6 PlanningY3 ICT Lecture 6 Planning
Y3 ICT Lecture 6 Planning
Miles Berry
 
Smart+boards
Smart+boardsSmart+boards
Smart+boards
ballinteach44
 
Multi media laboratory
Multi media laboratoryMulti media laboratory
Multi media laboratory
Pondicherry university
 
E025intranets web
E025intranets webE025intranets web
E025intranets web
Ark Group Australia Pty Ltd
 

Similar to Intelgent artecture (20)

Kenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptx
Kenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptxKenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptx
Kenneth Yuan - Building Tomorrow's Tech Landscape, Inspiring Youthful Minds.pptx
 
Agile Knowledge Sharing
Agile Knowledge SharingAgile Knowledge Sharing
Agile Knowledge Sharing
 
ICT in Elementary Education
ICT in Elementary EducationICT in Elementary Education
ICT in Elementary Education
 
Technology Use Vs
Technology Use VsTechnology Use Vs
Technology Use Vs
 
Eduknowledge
EduknowledgeEduknowledge
Eduknowledge
 
Developer mengajar
Developer mengajarDeveloper mengajar
Developer mengajar
 
EDCompass June 2008 - SMART at NECC
EDCompass June 2008 - SMART at NECCEDCompass June 2008 - SMART at NECC
EDCompass June 2008 - SMART at NECC
 
Practical Knowledge Management – Leveraging People, Process & Technology to E...
Practical Knowledge Management – Leveraging People, Process & Technology to E...Practical Knowledge Management – Leveraging People, Process & Technology to E...
Practical Knowledge Management – Leveraging People, Process & Technology to E...
 
Gta consulting profile
Gta consulting profileGta consulting profile
Gta consulting profile
 
"About InSTEDD" Poster
"About InSTEDD" Poster"About InSTEDD" Poster
"About InSTEDD" Poster
 
MANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docx
MANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docxMANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docx
MANAGEMENT SCIENCE DEPARTMENTMIS440 MANAGEMENT SUPPO.docx
 
Project Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful EntrepreneureshipProject Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful Entrepreneureship
 
Project Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful EntrepreneureshipProject Evaluation and Competence for Successful Entrepreneureship
Project Evaluation and Competence for Successful Entrepreneureship
 
Teaming Up To Crack
Teaming Up To CrackTeaming Up To Crack
Teaming Up To Crack
 
BEN Cloud Bath workshop 26 May Intro
BEN Cloud Bath workshop 26 May IntroBEN Cloud Bath workshop 26 May Intro
BEN Cloud Bath workshop 26 May Intro
 
Intel tools
Intel toolsIntel tools
Intel tools
 
Y3 ICT Lecture 6 Planning
Y3 ICT Lecture 6 PlanningY3 ICT Lecture 6 Planning
Y3 ICT Lecture 6 Planning
 
Smart+boards
Smart+boardsSmart+boards
Smart+boards
 
Multi media laboratory
Multi media laboratoryMulti media laboratory
Multi media laboratory
 
E025intranets web
E025intranets webE025intranets web
E025intranets web
 

More from Sajan Sahu

Architecture of message oriented middleware
Architecture of message oriented middlewareArchitecture of message oriented middleware
Architecture of message oriented middleware
Sajan Sahu
 
Insurance envoy
Insurance envoyInsurance envoy
Insurance envoy
Sajan Sahu
 
Computer’s memory
Computer’s memoryComputer’s memory
Computer’s memory
Sajan Sahu
 
Automated inspection of aircraft
Automated inspection of aircraftAutomated inspection of aircraft
Automated inspection of aircraft
Sajan Sahu
 
Data compretion
Data compretionData compretion
Data compretion
Sajan Sahu
 
Deadlock
DeadlockDeadlock
Deadlock
Sajan Sahu
 
Data warehouseing
Data warehouseingData warehouseing
Data warehouseing
Sajan Sahu
 
Information system
Information systemInformation system
Information system
Sajan Sahu
 
Dna computing
Dna computingDna computing
Dna computing
Sajan Sahu
 
Wireless application protocol (WAP)
Wireless application protocol (WAP)Wireless application protocol (WAP)
Wireless application protocol (WAP)
Sajan Sahu
 
Blink detection and tracking of eyes for eye localisat
Blink detection and tracking of eyes for eye localisatBlink detection and tracking of eyes for eye localisat
Blink detection and tracking of eyes for eye localisat
Sajan Sahu
 
Database system
Database systemDatabase system
Database system
Sajan Sahu
 
GPRS
GPRSGPRS
Bios
BiosBios
Bluetooth
Bluetooth Bluetooth
Bluetooth
Sajan Sahu
 
802.11
802.11802.11
802.11
Sajan Sahu
 
Erp
ErpErp
Internet telephony
Internet telephonyInternet telephony
Internet telephony
Sajan Sahu
 
Wcdma
WcdmaWcdma
Wcdma
Sajan Sahu
 
Criptography
CriptographyCriptography
Criptography
Sajan Sahu
 

More from Sajan Sahu (20)

Architecture of message oriented middleware
Architecture of message oriented middlewareArchitecture of message oriented middleware
Architecture of message oriented middleware
 
Insurance envoy
Insurance envoyInsurance envoy
Insurance envoy
 
Computer’s memory
Computer’s memoryComputer’s memory
Computer’s memory
 
Automated inspection of aircraft
Automated inspection of aircraftAutomated inspection of aircraft
Automated inspection of aircraft
 
Data compretion
Data compretionData compretion
Data compretion
 
Deadlock
DeadlockDeadlock
Deadlock
 
Data warehouseing
Data warehouseingData warehouseing
Data warehouseing
 
Information system
Information systemInformation system
Information system
 
Dna computing
Dna computingDna computing
Dna computing
 
Wireless application protocol (WAP)
Wireless application protocol (WAP)Wireless application protocol (WAP)
Wireless application protocol (WAP)
 
Blink detection and tracking of eyes for eye localisat
Blink detection and tracking of eyes for eye localisatBlink detection and tracking of eyes for eye localisat
Blink detection and tracking of eyes for eye localisat
 
Database system
Database systemDatabase system
Database system
 
GPRS
GPRSGPRS
GPRS
 
Bios
BiosBios
Bios
 
Bluetooth
Bluetooth Bluetooth
Bluetooth
 
802.11
802.11802.11
802.11
 
Erp
ErpErp
Erp
 
Internet telephony
Internet telephonyInternet telephony
Internet telephony
 
Wcdma
WcdmaWcdma
Wcdma
 
Criptography
CriptographyCriptography
Criptography
 

Recently uploaded

Mutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented ChatbotsMutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented Chatbots
Pablo Gómez Abajo
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
Tatiana Kojar
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
Neo4j
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Safe Software
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
Javier Junquera
 
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Pitangent Analytics & Technology Solutions Pvt. Ltd
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
Fwdays
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Neo4j
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Jason Yip
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 

Recently uploaded (20)

Mutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented ChatbotsMutation Testing for Task-Oriented Chatbots
Mutation Testing for Task-Oriented Chatbots
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and StandardsLeveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success StoryDriving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
 
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk"Frontline Battles with DDoS: Best practices and Lessons Learned",  Igor Ivaniuk
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
 
Artificial Intelligence and Electronic Warfare
Artificial Intelligence and Electronic WarfareArtificial Intelligence and Electronic Warfare
Artificial Intelligence and Electronic Warfare
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 

Intelgent artecture

  • 1. [1] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING Under the Guidance of Mr. Indraneel Mukhopadhyay By DEEPAK NAYAK IT200117213
  • 2. [2] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology INTRODUCTION This technology supports structured, on-line learning activities, and provides facilities for assessment and collaboration. The main aim is to assist an intelligent coaching agent in mediating situations in which new knowledge is not effectively assimilated by a distributed group of humans. The key roles of the new analysis engine include  Recognizing when students are having trouble learning the new concepts they share with each other  Determining why they are having trouble.
  • 3. [3] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology THE PROBLEMS Coding Guidelines Good Design Program Correctness Implied knowledge
  • 4. [4] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology PROPOSED SOLUTION System Requirements System Design Agents Agent-Architecture
  • 5. [5] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology USE OF CODE REVIEW SYSTEM Implementation Code Review System Peer Review Solutions Compilable Code Peer Reviewed Code Review Recommendations Code ready for peer review
  • 6. [6] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology PROPOSED AGENT ARCHITECTURE User User Interface Agent Sensor Agents Network Facilitator Agent Learning Agents Solution Agents Detection Agents Worker Agents
  • 7. [7] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology ARCHITECTURE FOR SUPPORTING KNOWLEDGE SHARING
  • 8. [8] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology THE ANALYST TEAM Dialog Segmenter Responsible for determining when students begin sharing their knowledge on a particular topic Knowledge Sharing Analyzer It analyzes the episode to determine its effectiveness Instructional Strategist Agent It plans how students may be effective or ineffective at sharing knowledge
  • 9. [9] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology ANALYSIS OF KNOWLEDGE SHARING Quantitative Analysis
  • 10. [10] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology Qualitative Analysis
  • 11. [11] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology CONCLUSION The effectiveness of knowledge sharing and construction depends upon: The participants’ evolving knowledge bases The group’s ability to share and assimilate the bits of knowledge necessary to construct new knowledge
  • 12. [12] INTELLIGENT AGENT ARCHITECTURE FOR KNOWLEDGE SHARING DEEPAK NAYAK NationalInstituteofScience&Technology THANK YOU