Agent Technology


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Presentation on Agency Technology made during KM technologies course

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Agent Technology

  1. 1. Agent TechnologyK6213 KM Technologies Presentation Aravind Sesagiri Raamkumar Nirmala Selvaraju
  2. 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. 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. 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. 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. 6. Agent Technology in aid of KM Knowledge Engineering Knowledge Discovery Collaboration High level connectivity
  7. 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. 8. KM in an organization
  9. 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. 10. System Architecture
  11. 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. 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. 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. 14. Agent based Customer KnowledgeManagement Article : The role of intelligent agents in customer knowledge Management ang%20et%20al.pdf
  15. 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. 16. Thank You