Your SlideShare is downloading. ×
Agent Technology Presentation
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Agent Technology Presentation


Published on

"Technology Discussion" presentation on Agency Technology made during KM technologies course

"Technology Discussion" presentation on Agency Technology made during KM technologies course

Published in: Technology, Education

1 Like
  • Be the first to comment

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 1. Agent TechnologyK6213 KM Technologies Presentation Aravind Sesagiri Raamkumar Nirmala Selvaraju
  • 2. Agenda• Introduction• Typology of Agents• Popular Examples of Software Agents• Agent Technology in aid of KM • Application of IA for KM Integration • Information Agents • Agent based Customer Knowledge Management• References
  • 3. Introduction Agents can be defined to be autonomous, problem-solving computational entities capable of effective operation in dynamic and open environments.(Luck et al) Often deployed in ‘Multi-agent’ environments in which they interact and co-operate with each other. Main Characteristics: Autonomous Cooperation Adaptation
  • 4. Typology of Agents • Classified by Mobility, Type of Response(deliberative or reactive), Identity and Roles • Agents exist in a truly multi-dimensional space
  • 5. Popular examples of SoftwareAgents• Buyer agents or shopping bots• User or personal agents• Monitoring-and-surveillance agents• Data Mining agents• Web Crawlers(used by Google) are best examples for Agents
  • 6. Agent Technology in aid of KM Knowledge Engineering Knowledge Discovery Collaboration High level connectivity
  • 7. Application of IA for KMintegration - Expectations Decision Support System(DSS) Transformation Analyze Dealing with Quicker of conventional incominghuge amounts Retrieval of search ‘lessons- of data in a data from mechanism with learnt’ and distributed various self-adaption immediate environment systems ability dissemination
  • 8. KM in an organization
  • 9. Implementation Framework Agents were chosen for DSSimplementation due to following factors:- Distribution of data Integrity of organizational structure and its autonomy must be maintained The system needed sophisticated interactions for information sharing and coordination Local Data Model Base Knowledge Multiagents Base Model Model based module • Different • Knowledge • Generating • Stores tasks Gathering alternatives knowledge • Different • Storage in • Storing • Incorporates sources relational decision mathematical • Different databases making solvers Roles models
  • 10. System Architecture
  • 11. Modeling of Multi-Agents and StandardsUsed Application Manager Agent(AM-agent): Agents that run on intranet network management station. Exhibits authority in management of functionality of system Application Agents(A-agent): Agents that run on network and on abstract locations. Represented by interfaces on which operations can be performed Tool & Standards FIPA-OS(Foundation for Intelligent Physical Agent) JESS (Java Expert System Shell) XML and SOAP
  • 12. Information Agents  Scope for usage in E-business  Built on top of Knowledge Discovery and Data Mining concepts  Facilitates Knowledge Sharing between Buyers and Sellers Article : Knowledge Management and Intelligent Agents in an E- Business Environment 20Radu%20Ioab%20sa.pdf
  • 13. Agent based Customer Knowledge ManagementPremise:To test the feasibility of agent technology concepts aided customer knowledgemanagement. Social Agent Reactive Proactive Ability Characteristics Needs of CKM
  • 14. Agent based Customer KnowledgeManagement Article : The role of intelligent agents in customer knowledge Management ang%20et%20al.pdf
  • 15. References• Software Agents: An Overview Hyacinth S. Nwana• Agent Technology: Enabling Next Generation Computing Luck et al• Application of Intelligent Agent Technology for Knowledge Management Integration Houari et al• Knowledge Management and Intelligent Agents in an E- Business Environment MOGOŞ et al• The role of intelligent agents in customer knowledge• Management Tan et al
  • 16. Thank You