Agent Technology Presentation

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Agent Technology K6213 KM Technologies Presentation Aravind Sesagiri Raamkumar Nirmala Selvaraju

description

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

Transcript of Agent Technology Presentation

Page 1: Agent Technology Presentation

Agent TechnologyK6213 KM Technologies Presentation

Aravind Sesagiri Raamkumar

Nirmala Selvaraju

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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

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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:AutonomousCooperationAdaptation

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Typology of Agents

• Classified by Mobility, Type of Response(deliberative or reactive), Identity and Roles

• Agents exist in a truly multi-dimensional space

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Popular examples of Software Agents• 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

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Agent Technology in aid of KM

Knowledge Discovery

High level connectivity

Knowledge Engineering

Collaboration

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Application of IA for KM integration - Expectations

Decision Support

System(DSS)

Dealing with huge amounts

of data in a distributed

environment

Quicker Retrieval of data from

various systems

Transformation of conventional

search mechanism with

self-adaption ability

Analyze incoming ‘lessons-

learnt’ and immediate

dissemination

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KM in an organization

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Implementation FrameworkAgents were chosen for DSS

implementation 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

Multiagents

• Different tasks

• Different sources

• Different Roles

Local Data Base Model

• Knowledge Gathering

• Storage in relational databases

Model Base Model

• Generating alternatives

• Storing decision making models

Knowledge based module

• Stores knowledge

• Incorporates mathematical solvers

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System Architecture

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Modeling of Multi-Agents and Standards Used

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 & StandardsFIPA-OS(Foundation for Intelligent Physical Agent)

JESS (Java Expert System Shell)

XML and SOAP

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Information Agents

Scope for usage in E-business Built on top of Knowledge Discovery and Data Mining

concepts Facilitates Knowledge Sharing between Buyers and SellersArticle : Knowledge Management and Intelligent Agents in an E-Business Environment http://www.economyinformatics.ase.ro/content/EN8/MOGOS%20Radu%20Ioab%20sa.pdf

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Agent based Customer Knowledge Management

Premise:To test the feasibility of agent technology concepts aided customer knowledge management.

Needs of CKM

Reactive ProactiveSocial Ability

Agent Characteristics

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Agent based Customer Knowledge Management

Article : The role of intelligent agents in customer knowledgeManagementhttp://www.academicjournals.org/ajbm/PDF/pdf2011/18Aug/Tang%20et%20al.pdf

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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

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Thank You