An agent-based approach for building complex software systems
Communications of the ACM
Understanding and Using Context
Personal and Ubiquitous Computing
Challenges in Implementing a Context-Aware System
IEEE Pervasive Computing
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
Context-based Dynamic Channel Management for Efficient Event Service in Pervasive Computing
ICCSA '07 Proceedings of the The 2007 International Conference Computational Science and its Applications
A New Agent Platform Architecture Supporting the Agent Group Paradigm for Multi-Agent Systems
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Enhancing Situation-Aware Systems through Imprecise Reasoning
IEEE Transactions on Mobile Computing
ISDA '08 Proceedings of the 2008 Eighth International Conference on Intelligent Systems Design and Applications - Volume 01
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Situ: A Situation-Theoretic Approach to Context-Aware Service Evolution
IEEE Transactions on Services Computing
Developing context-aware pervasive computing applications: Models and approach
Pervasive and Mobile Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Prediction-based dynamic thread pool management of agent platform for ubiquitous computing
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Hi-index | 0.01 |
Effective manipulation of context is very important in the research of context-awareness. In recent years, thus, 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 agent 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.