Agent Based Model for Call Centers Using Knowledge Management

A call center is an organizational unit where inbound calls are received or outbound calls placed for the purposes of sales, support, advice and other business transactions. By applying knowledge management solutions, we can meet call centers’ challenges and gain benefits of reduced training costs, improved call handling and greater flexibility. This paper describes a solution to agent mediated knowledge management system in call centers and new search algorithms. We introduced two agent based search algorithms for finding the expert user in system. Searching an expert is one of the most critical features which each call center system should have. Our agent based search with agent based weighted graph works well in our prototype system. Our agent model can distribute and share knowledge in whole levels of organizations and call center.

[1]  Stefanie N. Lindstaedt,et al.  A Knowledge Infrastructure Hierarchy Model for Call-Centre Processes , 2005, J. Univers. Comput. Sci..

[2]  Pooya Rasooli Knowledge management in call centers , 2006 .

[3]  Nicholas R. Jennings,et al.  Agent Theories, Architectures, and Languages: A Survey , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.

[4]  Gerhard Weiss,et al.  Multiagent Systems , 1999 .

[5]  Nilmini Wickramasinghe,et al.  Knowledge Creation , 2011, Encyclopedia of Knowledge Management.

[6]  Agostino Poggi,et al.  Multiagent Systems , 2006, Intelligenza Artificiale.

[7]  Henry Mintzberg,et al.  Structure in Fives: Designing Effective Organizations , 1983 .

[8]  Angappa Gunasekaran,et al.  The application of knowledge management in call centres , 2005, J. Knowl. Manag..

[9]  Nicholas R. Jennings,et al.  Intelligent Agents: Ecai-94 Workshop on Agent Theories, Architectures, and Languages Amsterdam, the Netherlands August 8-9, 1994 : Proceedings , 1995 .

[10]  Brian Henderson-Sellers,et al.  Agent-oriented methodologies , 2005 .

[11]  Barbara Messing,et al.  An Introduction to MultiAgent Systems , 2002, Künstliche Intell..

[12]  Ikujiro Nonaka,et al.  The `ART' of knowledge:: Systems to capitalize on market knowledge , 1998 .

[13]  Gerard Salton,et al.  A vector space model for automatic indexing , 1975, CACM.

[14]  John Mylopoulos,et al.  A Goal-Based Organizational Perspective on Multi-agent Architectures , 2001, ATAL.

[15]  Nicholas R. Jennings,et al.  The Gaia Methodology for Agent-Oriented Analysis and Design , 2000, Autonomous Agents and Multi-Agent Systems.

[16]  K. Kiran Dubey,et al.  Knowledge management: an overview , 2010, ICWET.

[17]  Alain Pirotte,et al.  Social Patterns for Designing Multiagent Systems , 2003, SEKE.

[18]  Allan Radding Knowledge Management: Succeeding in the Information-Based Global Economy , 1998 .

[19]  Ed Greengrass,et al.  Information Retrieval: A Survey , 2000 .

[20]  Andreas Abecker,et al.  Towards Agent-Mediated Knowledge Management , 2003, AMKM.

[21]  Qiang Yang,et al.  Architectural Design Patterns for Multiagent Coordination , 1999 .

[22]  K. P. Sycara Multiagent systems : Special issue on agents , 1998 .

[23]  Andreas Abecker,et al.  Agent-mediated knowledge management : International Symposium AMKM 2003, Stanford, CA, USA, March 24-26, 2003 : revised and invited papers , 2004 .