Knowledge Collaborator Agent in Expert Locator System: Multi-Agent Simulation in the Validation of GUSC Model

Authors

  • Shahrinaz Ismail Malaysian Institute of IT, Universiti Kuala Lumpur
  • Mohd Sharifuddin Ahmad College of Information Technology, Universiti Tenaga Nasional

Keywords:

software agent, multi-agent system, simulation, knowledge collaborator, GUSC

Abstract

This paper presents a multi-agent simulation that demonstrates the roles identified to assist human knowledge workers, based on the Get-Understand-Share-Connect (GUSC) Model. The system design is based on the content analysis from an interview survey conducted on selected organisations in Malaysia. A significant finding from the interview is the existence of the Knowledge Collaborator role, which the literature commonly refers to as the gatekeeper. According to the interview respondents, Knowledge Collaborator locates
knowledge sources or experts upon request from the Knowledge Seeker within an organisation, which is based on the needs. A
scenario of the mediation of Knowledge Seeker-Knowledge Collaborator tasks is simulated in this paper, animated in an agent-oriented development platform. This scenario is expanded to Knowledge Collaborator-Knowledge Expert mediation of tasks, to further prove the GUSC roles played by the agents.

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Published

2014-04-01

How to Cite

Shahrinaz Ismail, & Mohd Sharifuddin Ahmad. (2014). Knowledge Collaborator Agent in Expert Locator System: Multi-Agent Simulation in the Validation of GUSC Model. Journal of Network and Innovative Computing, 2, 10. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/52

Issue

Section

Original Article