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

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

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    Agent Technology Presentation Agent Technology Presentation Presentation Transcript

    • Agent TechnologyK6213 KM Technologies Presentation Aravind Sesagiri Raamkumar Nirmala Selvaraju
    • 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
    • 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
    • Typology of Agents • Classified by Mobility, Type of Response(deliberative or reactive), Identity and Roles • Agents exist in a truly multi-dimensional space
    • 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
    • Agent Technology in aid of KM Knowledge Engineering Knowledge Discovery Collaboration High level connectivity
    • 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
    • KM in an organization
    • 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
    • System Architecture
    • 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
    • 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 http://www.economyinformatics.ase.ro/content/EN8/MOGOS% 20Radu%20Ioab%20sa.pdf
    • 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
    • Agent based Customer KnowledgeManagement Article : The role of intelligent agents in customer knowledge Management http://www.academicjournals.org/ajbm/PDF/pdf2011/18Aug/T ang%20et%20al.pdf
    • 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
    • Thank You