This document discusses agent technology and its applications for knowledge management (KM). It begins with an introduction that defines agents as autonomous computational entities capable of operating in dynamic environments. The document then covers the typology of agents and popular examples of software agents like shopping bots and web crawlers. It discusses how agent technology can aid KM through applications, information agents, and agent-based customer KM. Specific frameworks and standards for multi-agent systems in KM are also presented, along with references for further reading.

1. Agent Technology
K6213 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 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

6. Agent Technology in aid of KM
Knowledge
Engineering
Knowledge
Discovery
Collaboration
High level
connectivity

7. Application of IA for KM
integration - Expectations
Decision
Support
System(DSS)
Transformation Analyze
Dealing with Quicker
of conventional incoming
huge 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 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
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 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 & 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
http://www.economyinformatics.ase.ro/content/EN8/MOGOS%
20Radu%20Ioab%20sa.pdf

13. Agent based Customer Knowledge
Management
Premise:
To test the feasibility of agent technology concepts aided customer knowledge
management.
Social Agent
Reactive Proactive Ability Characteristics
Needs
of CKM

14. Agent based Customer Knowledge
Management
Article :
The role of intelligent agents in customer knowledge
Management
http://www.academicjournals.org/ajbm/PDF/pdf2011/18Aug/T
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