REFLECTING THE PERSPECTIVES OF MULTIPLE AGENTS IN DISTRIBUTED REASONING FOR CONTEXT-AWARE SERVICE

DOI

10.1080/18756891.2013.802875How to use a DOI?

Keywords

agent, context modeling, distributed reasoning, merge operator, ubiquitous computing

Abstract

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 properly 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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Seungwok Han
AU  - Hee Yong Youn
PY  - 2013
DA  - 2013/07/01
TI  - REFLECTING THE PERSPECTIVES OF MULTIPLE AGENTS IN DISTRIBUTED REASONING FOR CONTEXT-AWARE SERVICE
JO  - International Journal of Computational Intelligence Systems
SP  - 700
EP  - 711
VL  - 6
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.802875
DO  - 10.1080/18756891.2013.802875
ID  - Han2013
ER  -