Knowledge Management in Role Based Agents

In multi-agent system literature, the role concept is getting ngly researched to provide an abstraction to scope beliefs, norms, goals of agents and to shape relationships of the agents in the organization. In this research, we propose a knowledgebase architecture to increase applicability of roles in MAS domain by drawing inspiration from the self concept in the role theory of sociology. The proposed knowledgebase architecture has granulated structure that is dynamically organized according to the agent's identication in a social environment. Thanks to this dynamic structure, agents are enabled to work on consistent knowledge in spite of inevitable conicts between roles and the agent. The knowledgebase architecture is also implemented and incorporated into the SEAGENT multi-agent system development framework.

• Type: Conference
• Year: 2009
• Where: ESAW
• Authors: Hüseyin Kir, Erdem Eser Ekinci, Oguz Dikenelli
• Keywords: Artificial Intelligence, ESAW 2009, Knowledgebase Architecture, Multi-agent System Literature, Role Concept