REFLECTING THE PERSPECTIVES OF MULTIPLE AGENTS IN DISTRIBUTED REASONING FOR CONTEXT-AWARE SERVICE
Seungwok Han, Hee Yong Youn · International Journal of Computational Intelligence Systems · 2013
Effective manipulation of context is very important in providing the context-aware services.In recent years, a variety of context models have been proposed to p roperly handle the key aspects of the context, while focusing on scenario-based acquisition, management, and representation of context.However, they are difficult to be employed for the agent-based system requiring distributed reasoning.In this paper we propose a context modeling approach for distributed reasoning and merge operator reflecting the perspective of constituent agents for rational reasoning.In addition, an agent-based context-aware system is developed implementing the proposed scheme.Performance evaluation by computer simulation on a use case of smart classroom shows that the proposed approach enables the agents to rationally reason and thereby provide intelligent context -aware services to the users.