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This paper proposes a context model which separates the upper and lower layer according to characteristic of each class using the Web Ontology Language (OWL). We also present a context-aware multi-agent system (CAMAS) architecture which provides the solution of policy problem using the classification of rule and implementation of a rule-based engine. We enhance the response time for offering adaptive services. We solve the policy conflict problem among users by using reasoning and privilege delegation.